1.1 Basic Web3 Concepts and Definitions 5
1.2 Web3 Is the Convergence of Convergence 23
1.3 Web3 from a User Experience Regulation, and Investment Perspectives 33
1.4 Chapter Summary 37
1.5 Chapter Questions 38
References 39
Web3 is the latest stage in the evolution of the web, following the earlier stages of Web1 and Web2. Each stage represents a significant advancement in the capabilities and functionalities of the Internet.
Web1, the first generation of the web, emerged in the early days of the Internet when websites were predominantly static and text based. It was primarily used for sharing information and ideas, serving as a platform for personal and academic purposes. Websites during this time were created using HyperText Markup Language (HTML), a markup language that structures and formats web pages. However, they lacked the interactive features commonly found on modern websites.
Web2, the second generation of the web, marked a significant shift toward dynamic and interactive websites. It introduced advanced technologies that enabled users to have more engaging experiences. Web2 applications incorporated elements such as mobile technology, social networking, location-based services, user-generated content, and cloud computing. This led to the rise of mobile apps, social media platforms, e-commerce websites, content-sharing platforms, and other online services that offered a wide range of features and capabilities to users.
Now, with Web3, we are witnessing the next stage in the evolutionary progression of the web. Web3 builds upon the advancements of Web1 and Web2 while introducing new technologies and concepts to make the web more intelligent, interactive, and decentralized.
Web3 utilizes artificial intelligence (AI) to enhance the user experience by providing personalized and tailored interactions. Algorithms powered by AI analyze user data to offer recommendations, predictions, and customized services. This intelligence empowers users to have more meaningful and relevant interactions with web applications.
The integration of the Internet of Things (IoT) is another key aspect of Web3. It expands the connectivity of devices to the web, enabling a more seamless and integrated digital experience. Users can interact with a broader range of connected devices, gathering and sharing information across multiple platforms.
However, one of the most transformative elements of Web3 is the adoption of blockchain technology. Blockchain allows for the creation of decentralized networks and applications, ensuring data transparency, security, and user ownership. Users can have greater control over their data and identities through decentralized identity systems, granting them the ability to manage and authenticate their online presence.
Web3 represents the ongoing transformation and development of internet technologies and applications. Unlike the current centralized model, Web3 focuses on providing a self-sovereign and decentralized Internet, where users have ownership of their data and are not reliant on BigIT platforms. BigIT companies like Facebook and Google have centralized massive amounts of user data into their systems, giving them unprecedented control over people’s information. With vast troves of data concentrated under their control, BigIT wields immense power to analyze, monetize, and leverage consumer data across their digital platforms and services.
A core aspect of Web3 is the emphasis on decentralized applications (dApps). Built on blockchain and other decentralized technologies, dApps are open, peer-to-peer (P2P), transparent, and secure. They offer users greater control over their data and online activities than traditional Web2 applications, unlocking new possibilities for interactions and services beyond the capabilities of the current web.
The potential value that Web3 can create is evident in various applications. Decentralized Finance (DeFi) (more details in Chapter 7) enables P2P access to financial services, reducing costs, and improving inclusivity. Supply chain management benefits from blockchain’s real-time tracking and verification capabilities, enhancing transparency and reducing risks.
Non-fungible tokens (NFTs) provide unique digital assets, allowing businesses to monetize digital collectibles and virtual items, expanding revenue streams and global reach (Raptopoulos and Kelly Reference Raptopoulos and Kelly2022). The concept of a Metaverse, a virtual shared space, offers new platforms for commerce, entertainment, and social interactions, opening up new business opportunities.
This chapter provides a foundational understanding of Web3, covering its definitions, technological advancements, data ownership, user experience, regulatory considerations, and scalability challenges. It highlights the convergence of technologies, data, interactions, business models, identity, and organizational structures within the Web3 ecosystem. By exploring these dimensions, readers gain insights into the transformative potential of Web3 and its impact on the future of the Internet.
1.1 Basic Web3 Concepts and Definitions
At its core, Web3 represents a paradigm shift toward decentralization, aiming to redistribute power and control over digital interactions to users through innovative technologies such as blockchain, smart contracts, and dApps. Critical innovations such as zero-knowledge proofs (ZKPs) and new governance models allow Web3 to enhance privacy and democratic participation while maintaining verifiability and consensus. Programmable tokens serve as the incentive layer fueling collaborative ecosystems, while advances in interoperability stitch together the fabric of this connected yet decentralized network. However, Web3 also faces complex scalability, security, regulation, and adoption challenges. Understanding foundational concepts like decentralization, governance, cryptography, and token economics is key to appreciating both the transformative potential and current limitations of Web3. This constellation of technologies and ideas represents the building blocks for an envisioned Internet of the future that promises to be more open, user-centric, and privacy-preserving.
Here is a quick rundown of the main concepts covered in this section:
Decentralization – The core principle of Web3. Aims to distribute power and control away from centralized entities. Enabled by blockchain and P2P networks.
Blockchain – Distributed ledger technology that enables decentralization, transparency, and immutability. Provides the backbone for many Web3 applications.
Smart Contracts – Self-executing programs on the blockchain that automate agreements and processes. Enable the creation of dApps.
dApps – Decentralized applications built on blockchain that give users more control over data and interactions.
Interoperability – Ability for different blockchains and dApps to communicate and interact seamlessly. Critical for connecting the decentralized Web3 ecosystem.
Web3 Wallets – Gateways for managing identities, assets, and interactions in Web3. Enable key management, transactions, and dApp access.
Privacy/Security – Web3 aims to give users more control over data privacy via encryption, decentralized storage, ZKPs, and so forth. But it also faces new threats.
Governance/Consensus – Web3 networks use decentralized, participatory governance models such as decentralized autonomous organizations (DAOs) and consensus mechanisms such as proof of stake (PoS).
Tokens/Tokenization – Programmable digital assets on blockchain that power incentives, transactions, and governance in Web3 networks and dApps.
Scalability – Decentralized systems can be slower and limited in transaction capacity compared to centralized systems. Ongoing research into solutions.
1.1.1 Decentralization
Decentralization lies at the core of Web3. Unlike the traditional Web2 model, which relies on centralized authorities and intermediaries, Web3 seeks to distribute power and authority among participants in the network. Decentralization finds its primary implementation in blockchain technology (described in Section 1.1.2), a distributed ledger system that records immutable transactions across multiple computers, negating the need for centralized control. Further supporting decentralization, P2P networks enable direct transactions between participants, thereby eliminating the requirement for a central authority.
The promise of decentralization underpins many of the proposed benefits of Web3, including transparency, resilience, accessibility, and user empowerment.
However, decentralization exists on a spectrum. Understanding the different degrees and forms of decentralization, and their inherent trade-offs, provides important clarity on the realities and limitations of achieving a fully decentralized web.
Protocols and platforms in Web3 can be categorized across a spectrum of weak to strong decentralization. Weakly decentralized systems still have centralized points of control and failure but open participation. For example, Solana is an open blockchain network but relies on a small number of nodes run by the Solana Foundation to validate transactions. This makes it fast in transaction process but also more centralized. Strongly decentralized systems such as Bitcoin have no central authority and allow open participation in validating and governing the network. Bitcoin is a decentralized digital currency that uses cryptography and a public ledger called the blockchain to verify and record transactions. It was created in 2009 by an unknown person or group under the pseudonym Satoshi Nakamoto (Kaur Reference Kaur2023).
Most Web3 systems exist on a spectrum between these poles. Even strongly decentralized blockchains require some central coordination outside the protocol to fund development. Decentralized autonomous organizations enable community-driven decision-making but often delegate authority to smaller working groups for efficiency (see Chapter 9).
Pure decentralization rarely exists in practice. There are always trade-offs between decentralization and other properties like efficiency, utility, user experience, and regulatory compliance. For example, decentralized storage networks struggle to match the ease of use of centralized cloud storage services. Decentralized stablecoins wrestle with efficient minting and redemption mechanisms.
The dream of a permissionless, autonomous, and anonymous web enabled by pure decentralization remains elusive (Dale Reference Dale2020). Web3 reflects incremental steps toward dispersing control and participation, not eliminating centralization entirely. As with most complex technologies, success lies in navigating decentralization trade-offs rather than absolutism.
The degrees and dimensions of decentralization should be examined critically in each Web3 context. Blind adherence to decentralization as an end in itself risks curtailing functionality, usability, and commercial viability. However, prudent application of decentralization principles offers a path to harness its benefits while balancing real-world demands.
As Web3 continues maturing from its ideological origins, nuance around decentralization remains vital. Users should scrutinize claims of “complete” decentralization and assess systems based on their unique blend of centralization and distribution. Only through this lens can Web3’s potential be realized.
1.1.2 Blockchain
As a foundational element of Web3, blockchain technology serves as more than just a ledger for recording transactions; it’s the backbone that enables the kind of decentralization and security that sets Web3 apart from Web2. The architecture of blockchain is inherently designed to democratize control and establish trust among participants, which is why it’s often referred to as a “trustless” system. This does not mean it’s devoid of trust; rather, it signifies that the system is structured in such a way that trust is built in, eliminating the need for centralized intermediaries.
It’s crucial to recognize that transactions in the blockchain context are not limited to just financial exchanges. In the realm of Web3, a transaction can encapsulate various types of interaction, including data sharing, contract execution, and even governance decisions. Each of these transactions is verified through a rigorous consensus algorithm, such as proof of work (PoW) or PoS, which ensures that no single entity can unilaterally alter the state of the blockchain. This is a departure from centralized models, where a single entity often has the final say on the validity of transactions.
The term “immutable chain” is not merely a figurative expression. The cryptographic linking of blocks ensures that once data is added to the blockchain, altering it would require an unrealistic amount of computational power. This immutability is a critical feature that brings a new level of security and trust to digital interactions. It’s a deterrent against fraud, data tampering, and many forms of cyberattacks, making blockchain technology an attractive solution for not just financial systems but also supply chains, identity management, and even voting systems.
Transparency is another core attribute of blockchain technology, but it’s important to understand its nuanced application in Web3. While it’s true that blockchain ledgers are typically transparent, meaning that any participant can verify transactions and blocks, there are implementations such as private or consortium blockchains where transparency is selectively applied. Even in public blockchains, advancements in ZKP and other cryptographic techniques are making it possible to maintain privacy without compromising on the integrity and verifiability of transactions (Section 1.1.12).
Security in the blockchain context is multidimensional. While the architecture itself is robust against certain types of cyber threats, it’s not an invincible system. The surrounding ecosystem, including smart contracts (Section 1.1.3), dApps (Section 1.1.4), and even the user interfaces to the blockchain, can introduce vulnerabilities. For this reason, a holistic approach to security that encompasses not just the blockchain but also its interacting components is essential in Web3. Chapter 3 will give a more detailed description of blockchain technology.
Blockchain transactions can be slow and resource-intensive due to the fact that the decentralized and distributed nature of blockchains requires consensus and validation across the network before transactions can be added to the blockchain. This process of reaching consensus through mechanisms like PoW mining or PoS voting takes time. The more transactions that need to be validated, the longer it takes. This can lead to delays in transaction approval. Additionally, some blockchains are restricted in how many transactions they can process at one time. For example, Bitcoin is currently limited to around seven transactions per second. So during times of high traffic, transactions get backlogged. The computational power required for the cryptographic hash functions and other validation steps also makes blockchain transactions relatively resource-heavy compared to traditional payment networks. All the nodes in the network have to do redundant work verifying each transaction (See References section).
1.1.3 Smart Contracts
Smart contracts are self-executing agreements coded on the blockchain. They automatically execute predefined conditions once those conditions are met. Smart contracts eliminate the need for intermediaries, providing a trustless environment for conducting transactions and enforcing agreements. They enable the creation of dApps, facilitating a wide range of functionalities such as token issuance, DeFi, and governance mechanisms.
Indeed, smart contracts are one of the most revolutionary innovations brought forth by blockchain technology, serving as the automation and logic layer of the Web3 ecosystem. While blockchain provides the foundational layer of decentralized trust, smart contracts build on this by adding programmable logic to digital agreements. This not only automates the execution of contracts but also extends the utility of blockchain from a passive ledger to an active participant in various types of transactions and interactions.
In a Web3 context, smart contracts serve multiple purposes that go beyond simple transactions. They become the building blocks of more complex dApps, which can range from DeFi platforms to DAOs. Smart contracts can encode complex business logic, governance protocols, and even interactive user interfaces, all while ensuring the benefits of transparency, security, and immutability that come with blockchain technology.
The term “trustless” in the context of smart contracts is particularly noteworthy. As we discussed in Section 1.1.2, this does not imply a lack of trust but rather the obviation of the need for trust. In traditional contractual agreements, trust is often established through legal frameworks, third-party audits, or centralized authorities. Smart contracts, however, make these mechanisms redundant by encoding trust in the form of cryptographic guarantees. Once a smart contract is deployed on the blockchain, its code is visible for anyone to audit, and its execution is guaranteed as long as the network itself remains secure.
The automation provided by smart contracts has profound implications for various sectors. In finance, they enable the creation of complex financial instruments without the need for intermediaries like banks or brokers. In supply chain management, smart contracts can automatically verify and execute steps in the supply chain, providing real-time, immutable tracking data. They also hold potential in legal frameworks, where they can automate the enforcement of contractual clauses, potentially reducing the cost and complexity of legal processes.
However, it’s essential to note that smart contracts are not without their challenges and limitations. The immutability that makes them secure also makes them inflexible. Once deployed, a smart contract’s code cannot be easily altered, which means that any bugs or vulnerabilities are there to stay unless specific upgrade patterns have been implemented. This has led to well-publicized security incidents, highlighting the need for rigorous testing and auditing practices in smart contract development.
Furthermore, while smart contracts can enforce the execution of agreements, they rely on the data they are fed. This raises the issue of “oracle problems,” where the trustworthiness of external data sources becomes a bottleneck in the otherwise trustless environment. Numerous solutions, such as decentralized oracles and data verification layers, are being developed to address these challenges.
Chapter 5 will provide an in-depth examination of smart contracts, dissecting their inner workings, potential applications, and the challenges they pose. As smart contracts continue to evolve and find new applications, their role as the automation and logic layer of Web3 will only become more crucial. Understanding their capabilities, limitations, and the security implications inherent in their use is vital for anyone engaged in the Web3 ecosystem.
1.1.4 dApps
In traditional applications, the centralized architecture often places the user in a dependent position. You entrust your data to the service provider, who stores it on their central servers. This arrangement creates a significant power imbalance because the service provider has unilateral control over the application’s functionality, the user’s data, and even the user’s access to the service itself. In stark contrast, dApps return control to the users. Decentralized applications are built on decentralized technologies such as blockchain. Since data is stored either locally or on the blockchain, the user retains full ownership and control over their information. This does not just offer more privacy and autonomy; it fundamentally reshapes the user’s relationship with digital platforms.
Unlike traditional applications that rely on a central server, dApps operate on a P2P network, leveraging the power of distributed consensus. They also ensure transparency, as all transactions and operations are recorded on the blockchain, and are accessible to all participants.
Decentralized applications stand as the real-world manifestation of the theoretical and technological underpinnings of Web3 and blockchain. They are not merely applications that use blockchain as a database; rather, they are holistic applications that function within the decentralized paradigm, embodying its principles from data storage to business logic and user interaction.
The P2P nature of dApps, facilitated by blockchain’s distributed consensus mechanisms, adds another layer of robustness and resilience to these applications. By eliminating the need for a central authority or server, dApps are less susceptible to single points of failure. This is not just a theoretical advantage but a practical one that has real-world implications for system uptime, data integrity, and resistance to censorship or external tampering.
Transparency is an intrinsic quality of dApps, stemming from their blockchain foundation. Every transaction, every data change, and every operation is recorded on the blockchain and is publicly verifiable. This level of transparency is unprecedented in traditional digital applications and has significant implications for user trust and system auditability. It also opens up new avenues for community-driven governance models, where changes to the application can be proposed, debated, and implemented in a transparent and democratic way.
However, it’s important to note that while dApps offer groundbreaking benefits, they are not a panacea. The same blockchain attributes that offer increased security and transparency can also introduce complexity and potential scalability issues. For example, the computational costs associated with executing smart contracts on a blockchain could become a limiting factor as a dApp grows in popularity and usage. Furthermore, the immutable nature of blockchain data means that any flaws or vulnerabilities in a dApp’s smart contract code are permanent unless preemptive measures for upgrades or fixes have been coded in.
The development and deployment of dApps also require a new skill set that goes beyond traditional software development. Understanding the nuances of smart contract programming, the intricacies of decentralized governance, and the complexities of distributed data storage are all integral to building successful dApps. This is where interdisciplinary expertise, combining aspects of software engineering, cryptography, economics, and governance, becomes invaluable.
1.1.5 Interoperability
Interoperability in the context of Web3 is the linchpin that holds the disparate, decentralized systems together in a synergistic relationship. Given that the very essence of Web3 is decentralized and distributed, one can easily envision a scenario where isolated blockchain networks and dApps proliferate, each operating in its own silo. While each of these entities would be powerful in its own right, their true potential can only be fully realized when they can interact and collaborate with one another. This is where interoperability comes into play, serving as the connective tissue that binds these decentralized components into an integrated, functional, and dynamic ecosystem.
The need for interoperability goes beyond mere data exchange; it’s about enabling seamless interactions that can trigger complex operations across multiple blockchains or dApps. For example, a smart contract on one blockchain might need to trigger another smart contract on a different blockchain for a DeFi application to function as intended. This kind of cross-chain interaction would be impossible without robust interoperability protocols.
From a technical standpoint, achieving interoperability is a non-trivial task. It requires sophisticated cryptographic methods, consensus algorithms, and often, dedicated interoperability layers or relayers that act as middlemen between different blockchains. These components must be carefully designed and rigorously tested to ensure they do not introduce vulnerabilities or bottlenecks into the system. The aim is to create a seamless user experience where the complexities of cross-chain interactions are abstracted away, allowing users to enjoy the benefits of a connected Web3 ecosystem without having to navigate its underlying complexities.
From a business perspective, interoperability opens up avenues for new types of collaborations and partnerships between different blockchain projects. It allows for the pooling of liquidity, user bases, and developmental resources, thereby accelerating innovation and adoption. For instance, a DeFi project on one blockchain could tap into a decentralized identity solution on another chain, offering users a more secure and privacy-preserving experience. The synergies created through such collaborations can provide a competitive edge, making interoperability a strategic imperative in the Web3 landscape.
Interoperability also has profound implications for governance and regulatory compliance. As different blockchains may have different governance models or consensus algorithms, interoperable systems need to account for these variations to ensure that cross-chain interactions are not just technically feasible but also governance-compatible. This raises complex questions about jurisdiction, regulatory compliance, and dispute resolution, all of which require thoughtful consideration and, potentially, new legal frameworks.
1.1.6 Web3 Wallets
Web3 wallets serve as the gateway to the decentralized world of Web3, acting as both a secure vault for digital assets and a user interface for blockchain interactions. These are not merely repositories for cryptocurrencies; they are multi-functional platforms that facilitate a broad range of activities, from managing decentralized identities to executing complex smart contracts. Their role is paramount in providing users the autonomy and security that are the hallmarks of the Web3 ecosystem.
At the core of a Web3 wallet is its ability to securely store cryptographic keys. These keys are the digital equivalent of a user’s identity and are used to sign transactions, authenticate interactions, and encrypt data. Unlike traditional web applications where user data is stored on centralized servers, in a Web3 wallet, the cryptographic keys are typically stored locally on the user’s device. This decentralization of identity and asset management places users firmly in control but also comes with the responsibility of safeguarding their own keys.
Web3 wallets come in various forms, each with its own set of trade-offs between ease of use, security, and functionality. Browser extension wallets, for example, offer a convenient way to interact with dApps directly within the web browser, but they are generally less secure than hardware wallets, which store the user’s private keys in a secure hardware device isolated from the Internet. Mobile wallets provide the convenience of on the go access but come with the risks associated with mobile security. The choice of wallet often depends on the user’s specific needs, technical proficiency, and the types of transactions they intend to perform.
One of the most compelling features of Web3 wallets is their ability to manage digital identities in a decentralized manner. Through technologies like DIDs and verifiable credentials (Onyszko Reference Onyszko2022), users can establish a digital identity that is not tied to any centralized entity. This identity can be used across multiple dApps and services, reducing the reliance on centralized identity providers such as social media platforms or email services. It also opens the door for more privacy-preserving interactions, as users can choose to disclose only the information that is necessary for a given transaction.
The utility of Web3 wallets extends into the burgeoning field of DeFi, where they function as the primary means for users to interact with financial protocols. Whether it’s swapping tokens in a decentralized exchange, supplying assets to a lending pool, or participating in a DAO, these interactions are facilitated through the user’s Web3 wallet. It’s worth noting that many of these interactions involve complex smart contract calls, and the wallet often abstracts these complexities to provide the user with a simplified, intuitive interface.
Security is both a strength and a challenge in the realm of Web3 wallets. The decentralized nature of these wallets offers robust protection against certain types of attacks, such as data breaches on centralized servers. However, they are not immune to other security threats such as phishing attacks, keylogging, or even physical theft in the case of mobile and hardware wallets. Users need to be vigilant and adopt best practices, like keeping backups of their keys and using hardware wallets for large amounts of assets.
1.1.7 Privacy and Security
Privacy and security are not just ancillary features in the Web3 landscape; they are integral components that define the ethos of this evolving digital paradigm. Unlike Web2, where the user often becomes the product, with their data harvested for targeted advertising or analytics, Web3 aims to put the control and ownership of data back into the hands of the users. This shift is not simply a technological transition but a fundamental rethinking of how digital interactions should be structured in terms of data ownership, privacy, and security.
One of the most striking features of Web3 in relation to privacy and security is the concept of decentralized data storage. Instead of storing user data in centralized data centers that are susceptible to hacks, data breaches, and unauthorized access, Web3 technologies enable data to be stored either locally on the user’s device or distributed across decentralized networks. This not only mitigates the risks associated with centralized data storage but also empowers users to have greater control over how their data is used and who has access to it.
Technological advancements in cryptography play a pivotal role in achieving these enhanced levels of privacy and security. Techniques such as ZKP allow for a kind of digital alchemy where one can prove the veracity of a statement without revealing the actual information (Chainlink 2021). For example, one can prove they are over 18 without revealing their exact age or prove they have enough funds for a transaction without revealing their total balance. This is transformative, especially in scenarios where data needs to be verified but not exposed, such as in voting systems or privacy-preserving analytics.
Homomorphic encryption takes this a step further by allowing computations to be performed on encrypted data without needing to decrypt it first (Zagakos Reference Zagakos2022). This enables the development of secure data analytics and machine learning (ML) models where the raw data remains encrypted, thus safeguarding user privacy. While fully homomorphic encryption is still computationally intensive and not yet widely adopted, its potential implications for privacy-preserving computations in Web3 are immense.
The concept of self-sovereign identity is another cornerstone of Web3’s approach to privacy and security (Sovrin 2018). Unlike traditional digital identity systems where your identity is fragmented across various platforms and controlled by third parties, self-sovereign identity gives you full control over your digital persona. You can choose what to share, with whom, and for how long. This is enabled through DIDs and verifiable credentials, allowing users to establish and manage their identity without relying on a central authority. This not only provides users with greater autonomy but also significantly reduces the risks associated with data breaches that are all too common in centralized identity databases.
From a Cyber Security perspective, the decentralized architecture of Web3 inherently provides robustness against certain types of attacks, such as Distributed Denial of Service attacks. However, it’s crucial to acknowledge that while decentralization adds layers of security, it is not a silver bullet. Smart contract vulnerabilities, oracle manipulations, and endpoint security are among the myriad challenges that still need to be meticulously addressed.
1.1.8 Governance and Consensus Mechanisms
Governance and consensus mechanisms are the twin pillars that sustain the integrity and evolution of the Web3 ecosystem. While consensus mechanisms provide the technical foundation to reach agreement on the state of decentralized networks, governance models offer a framework for decision-making processes that guide the network’s future. Both aspects are designed to be participative, transparent, and decentralized, in alignment with the ethos of Web3.
In traditional digital platforms, governance is usually an opaque process, controlled by a single organization or a small group of stakeholders. Decisions about platform rules, data usage policies, or even fundamental protocol changes are made behind closed doors, often without the input or consent of the user community. Web3 radically transforms this model by introducing decentralized governance structures, the most prominent of which is the DAO. In a DAO, governance is not only transparent but also participatory. Stakeholders, often token holders, have the ability to propose, debate, and vote on changes to the network’s protocols, rules, and even its governance structure itself. This democratic approach not only decentralizes power but also instills a sense of collective ownership and accountability among network participants. We discuss DAOs more fully in Chapter 9.
Consensus mechanisms are the algorithms that allow network nodes to agree on the validity of transactions and the state of the blockchain. While PoW has been the cornerstone of blockchain consensus since the advent of Bitcoin (Anderson Reference Anderson2023), its limitations in terms of energy efficiency and scalability have led to the exploration of alternative mechanisms in the Web3 arena. Proof of stake has emerged as a compelling alternative, offering a more energy efficient way to reach consensus (Rasure Reference Rasure2023). In PoS, validators are chosen to create new blocks based on the number of tokens they hold and are willing to “stake” as collateral, rather than on their ability to solve cryptographic puzzles as in PoW (Immunebytes Reference Immunebytes2023).
Delegated Proof of Stake (DPoS) and Practical Byzantine Fault Tolerance (PBFT) are other consensus algorithms that are gaining traction in Web3 networks. Delegated Proof of Stake aims to improve scalability and reduce latency by having a smaller set of validators, chosen through a community voting process (Larimer and Step Guide Reference Larimer2022). On the other hand, PBFT is designed to achieve consensus even when some nodes in the network are acting maliciously, thereby enhancing the network’s resilience to certain types of attacks (Hooda Reference Hooda2022). These alternative consensus mechanisms not only offer technical improvements over PoW but also open up new opportunities for network participation. For example, PoS and DPoS allow for validators who may not have high computational power but are deeply invested in the network, either through token ownership or community involvement.
It’s essential to note that both governance models and consensus mechanisms are not static; they are evolving constructs. As the Web3 ecosystem matures, it’s likely that hybrid models incorporating features from multiple governance and consensus approaches will emerge. There may also be network-specific adaptations that cater to the unique requirements of particular use cases, be it high throughput financial transactions, secure identity management, or decentralized data storage.
1.1.9 Token, ERC20 Standard, and Tokenization
The concepts of tokens, ERC20 standard, and tokenization are deeply interconnected, serving as foundational elements that fuel the functionalities and opportunities in decentralized networks. Tokens are not just digital assets; they are versatile entities governed by smart contracts that play various roles from representing units of currency to unique digital collectibles such as NFTs. Their flexibility allows them to be integral parts of dApps, where they facilitate governance voting, access control, and revenue sharing among other functions.
The decentralized nature of Web3 tokens offers a safeguard against the vulnerabilities commonly found in centralized systems, such as fraud and unauthorized access. This makes them invaluable in trustless interactions that demand high levels of security and immutability. For example, tokens can represent physical goods in supply chain management, and smart contracts can automate the tracking and authentication of these goods, reducing fraud and ensuring authenticity.
Moreover, tokens incentivize network participation by rewarding validators or miners who contribute computational resources. They can also be staked to participate in governance, thus aligning the incentives of token holders with the long-term health of the network. In contrast, governance in traditional centralized systems is often hierarchical and opaque. The economic implications of Web3 tokens are far-reaching and transformative, particularly in the DeFi sector, which aims to recreate traditional financial instruments such as lending, borrowing, and asset trading in a decentralized setting. Virtually all activities in DeFi are facilitated through tokens, signifying a shift away from centralized financial systems and enabling greater financial inclusion.
The ERC20 standard, meanwhile, acts as the de facto technical blueprint for creating fungible tokens within the Ethereum ecosystem (Blockchain Council 2023). By defining a common interface for tokens, ERC20 has been pivotal for the interoperability and success of numerous projects within the Ethereum and larger Web3 ecosystem. It lays down a standardized set of rules and functions that all ERC20 tokens must follow, thereby allowing software such as dApps and smart contracts to interact with these tokens in a predictable manner. This level of standardization has multiple implications: For developers, it eliminates the need to understand each token’s unique characteristics, and for end users, it ensures that multiple types of ERC20 tokens can be managed using a single Ethereum wallet. Businesses and organizations also find it easier to integrate Ethereum-based assets into their operations, be it for payment solutions, tokenized incentives, or asset management.
Transcending beyond mere digitization of assets, tokenization serves as a transformative process that bridges the physical or digital world with the blockchain realm. It converts physical assets such as real estate and painting into digital tokens, democratizing access to asset classes traditionally characterized by high barriers to entry or low liquidity. Tokenization does more than just digitize; it revolutionizes asset management by enabling fractional ownership, enhancing liquidity, and most importantly, allowing programmability through smart contracts. These smart contracts can embed complex functionalities into the asset itself, such as automated dividend distribution and enforceable legal agreements or collaterals. Indeed, as described in a recent Forbes article, there is the burgeoning interest in tokenization among major financial players such as JP Morgan, BlackRock, and Goldman Sachs. These financial institutions see tokenization as a potentially trillion-dollar market opportunity in the near future (Khan and Danise Reference Khan and Danise2023). For example, in October 2023, JP Morgan debuted tokenized BlackRock shares as collateral with Barclays to reduce operational friction (Allison Reference Allison2023).
In Chapter 6, we will explore tokenomics, which is the interdisciplinary study of how tokens function as economic incentives and units of value in blockchain systems; through intentional design of token distribution, utility, and supply, sustainable crypto-economic models can be created that align incentives and drive ecosystem growth.
1.1.10 Zero-Knowledge Proof
Zero-knowledge proofs represent a cornerstone innovation in cryptography, one that harmonizes the often-conflicting requirements of transparency and privacy. In the burgeoning Web3 ecosystem, the role of ZKPs becomes even more critical. These cryptographic methods allow for information to be verified without the need for its revelation, thereby ensuring that interactions can remain confidential yet verifiable (Wojno Reference Wojno2022).
Let us consider a straightforward analogy to make the concept easily digestible. Imagine you have a business that owns a safe containing highly sensitive information. You want to prove to an auditor that the safe is indeed locked, but without revealing the combination code. You could ask the auditor to turn around, then open the safe using the code, put something inside, and lock it again. The auditor could then check the safe and see that something new is inside, confirming that you must know the code, all without ever seeing the code itself. The essence of the ZKP lies in this transaction: You have proven you know the combination code without revealing it.
Zero-knowledge proof works by first defining what is known as a “witness,” which is a solution to the computational problem you are trying to prove. Then, the prover and verifier must agree on a common “reference string,” which acts as a sort of cryptographic base for the proof. The prover then uses this string and the witness to generate a proof, which is sent to the verifier. The verifier uses the same reference string to check the proof, confirming the validity of the initial statement without ever seeing the witness.
1.1.11 On-chain Data
On-chain data serves as the immutable ledger that records all transactions, smart contracts, and activities that occur within the Web3 ecosystem. Given its decentralized architecture, data stored on the blockchain is not confined to a single server or location but is instead distributed across a network of nodes, each maintaining a copy of the entire blockchain. This decentralized model imbues the On-chain data with a high level of security and resilience against tampering or unauthorized modifications.
Every block in the blockchain contains a unique identifier known as a cryptographic hash, along with a timestamp and a reference to the hash of the preceding block. This creates an interlinked chain of blocks, where altering a single block would necessitate the alteration of all subsequent blocks – a computationally intensive task that becomes practically impossible as more blocks are added to the chain. This inherent feature ensures the integrity and immutability of On-chain data, making it a trusted source for verification.
The scope of On-chain data is incredibly varied and can encompass anything from simple cryptocurrency transactions to complex smart contracts that automate a multitude of functions. For instance, in the context of DeFi, On-chain data could include liquidity pools, lending contracts, or decentralized exchanges, each with its own set of parameters, states, and activities. Similarly, NFTs represent unique digital assets on the blockchain, and their ownership and transaction history are also part of the On-chain data.
One significant advantage of On-chain data is its unparalleled transparency. Because the data is publicly accessible, anyone can audit or analyze the blockchain to verify the validity of transactions, the execution of smart contracts, or even the distribution of tokens. This is particularly beneficial in use cases that require trustless verification, such as supply chain management, where On-chain data can irrefutably prove the provenance of goods, or in governance models such as DAOs, where transparent voting and proposal mechanisms are crucial.
However, it’s worth noting that the very transparency that makes On-chain data so powerful can also be a double-edged sword when it comes to privacy. Since all transactions are publicly visible, blockchain networks often require additional layers of privacy features, such as ZKP, to ensure that sensitive information is not inadvertently exposed. Furthermore, the permanence of On-chain data also raises questions about data governance and the right to be forgotten, issues that are yet to be fully resolved in the context of decentralized networks.
1.1.12 Off-chain Data
Off-chain data serves as a complementary component to On-chain data, providing the flexibility and adaptability often required for complex, real-world applications in the Web3 ecosystem. While On-chain data benefits from the security, immutability, and transparency of blockchain technology, Off-chain data is housed outside the blockchain, usually in traditional databases, cloud storage systems, or even personal devices such as laptops and smartphones. The demarcation between On-chain and Off-chain data is not just a matter of location; it fundamentally affects the data’s security model, accessibility, and use case applicability.
Off-chain data storage is generally centralized, governed by a single entity or a consortium, and as such, it offers the benefit of more straightforward and efficient data management. For instance, in a supply chain tracking application, while the proof of ownership and transfer of goods could be stored On-chain for transparency and immutability, detailed information such as the manufacturing history or quality control data might be stored Off-chain for easier management and controlled access. Off-chain data allows for quicker, more cost-effective operations because it is not bound by the consensus mechanisms and associated computational efforts that On-chain data is subject to.
However, this centralization also renders Off-chain data more susceptible to a variety of risks, including data tampering, unauthorized access, and system downtime. This is in contrast to On-chain data, which benefits from the robust security and trustless nature of blockchain technology. For applications that require high levels of trust and security, such as financial services or identity management, relying solely on Off-chain data could be considered a significant drawback.
In many modern Web3 applications, a hybrid approach is often employed, balancing the strengths and weaknesses of both On-chain and Off-chain data. Smart contracts can be used to maintain references or even cryptographic hashes of Off-chain data to ensure its integrity, allowing for a form of decentralized verification without incurring the high costs and limitations of storing all data on the blockchain. This hybrid model is particularly prevalent in DeFi and DAOs, where the need for scalable, efficient operations must be balanced with the requirements for transparency and security.
The line between On-chain and Off-chain data is increasingly being blurred by technologies like oracles, which are third-party services that provide smart contracts with external information. Oracles can fetch Off-chain data and bring it On-chain, enabling smart contracts to interact with real-world data, thus extending the functionality and applicability of blockchain technologies (Garcia Reference Garcia2023).
It’s clear that understanding the nuances between On-chain and Off-chain data is pivotal for comprehending the Web3 landscape. Each has its own set of advantages and disadvantages, and the choice between the two – or a hybrid approach – depends on the specific requirements of a given application, be it in terms of security, scalability, or data integrity. As we explore the vast potential and challenges of Web3 in the subsequent chapters, these foundational concepts will serve as the building blocks for a more intricate understanding of this revolutionary digital frontier.
1.1.13 Scalability
From a scalability perspective, Web3 technologies, such as blockchain and dApps, have both strengths and limitations. On the one hand, the decentralized and distributed nature of these technologies can provide increased resilience and redundancy, as there is no single point of failure. This means that Web3 systems can continue to operate even if some nodes or components fail or are unavailable.
On the other hand, the decentralized nature of Web3 technologies can also introduce challenges when it comes to scalability. For example, the need for consensus among multiple nodes can make it more difficult to process transactions and data at high volumes and speeds compared to centralized systems. Additionally, the limited capacity of some blockchain networks, such as the Bitcoin and Ethereum networks, can limit their ability to handle large amounts of data and transactions.
Overall, the scalability of Web3 technologies is an active area of research and development. There are many potential solutions and approaches being explored, such as using Off-chain computation with ZKP. We will discuss scalability in more detail in Chapter 4.
1.1.14 Self-Sovereign Internet
In this book, the term “Self-Sovereign Internet” refers to a conceptual framework for a decentralized, user-centric Internet where individuals have complete control over their own data, identities, and interactions online. Unlike the current centralized models where large corporations or governments hold and manage user data, the Self-Sovereign Internet aims to empower users by enabling them to own and control their digital footprints.
In this paradigm, the traditional roles of centralized identity providers, such as social media sites and email service providers, are replaced by decentralized architectures and technologies like blockchain. These technologies allow for the creation of digital IDs that are not tied to any specific service provider and can be used across various platforms. The user, rather than a third party, has the sole authority to manage access to their personal information, giving them the autonomy to decide who can see their data and when.
Security and privacy are foundational aspects of the Self-Sovereign Internet. Through cryptographic methods, users can securely verify their identity without exposing sensitive information. This method not only improves security but also minimizes the danger of identity theft and fraud.
The Self-Sovereign Internet also has significant implications for the “New Economy” (Section 1.1.15), particularly in the realms of DeFi, tokenomics, and digital governance. As individuals gain more control over their data, they are better positioned to engage in P2P transactions, participate in decentralized voting systems, and contribute to open-source, community-driven projects.
As such, the Self-Sovereign Internet represents a shift toward a more democratic, secure, and user-focused online world. It aims to redistribute digital power from centralized authorities back to individual users, paving the way for a more equitable and transparent digital landscape.
1.1.15 New Economy
In this book, the term “New Economy” specifically refers to the New Decentralized Economy, a transformative paradigm shift that moves us away from traditional, centralized economic models to a technology-driven, decentralized framework. Unlike conventional economic systems that rely on centralized institutions such as banks, corporations, and governments, the New Decentralized Economy is built on cutting-edge technologies like blockchain, which facilitate direct, P2P interactions.
The emphasis in this evolved economic landscape is not just on digital technologies as auxiliary tools but as foundational enablers. Innovations like the Internet, AI, big data, and especially blockchain serve as the backbone, driving a more agile, user-centric, and transparent approach to economic activity. These technologies also pave the way for novel organizational structures and value-creation models, such as DeFi, platform economies, and gig economies, where traditional distinctions between consumers and producers become increasingly fluid.
Financial systems in the New Decentralized Economy are also undergoing a transformation, particularly with the advent of DeFi and the widespread adoption of digital or crypto assets. These changes reflect a broader societal movement toward financial systems that are not only more open and transparent but also devoid of middlemen. This democratizes access to financial services, enabling broader participation and more equitable distribution of economic benefits.
A noteworthy aspect of the New Decentralized Economy is its commitment to sustainability and inclusivity. Emerging technologies offer groundbreaking solutions to age-old challenges such as financial exclusion, ethical sourcing, and environmental sustainability. For example, blockchain’s transparent and immutable ledger technology can be employed to verify the ethical and sustainable sourcing of products from origin to consumer.
Moreover, the concept of the New Decentralized Economy is deeply aligned with the principles of the Self-Sovereign Internet. In this new digital milieu, individuals gain unprecedented control over their personal data, identities, and transactions. This elevates the role of individuals from being passive consumers to active economic participants. They are empowered to engage in P2P transactions, contribute to community-based projects, and even influence the governance structures of decentralized organizations.
Therefore, the New Decentralized Economy represents a groundbreaking shift toward a digitized, disintermediated, and democratized economic structure. Utilizing modern technologies, it reimagines value creation, fosters more inclusive and sustainable growth, and empowers individuals as active, self-sovereign participants in a dynamically evolving economic landscape.
1.2 Web3 Is the Convergence of Convergence
The convergence of different technology and business models has been a common phenomenon throughout human history. Whenever new technologies or business models emerge, they often combine with existing ones to create new and innovative platforms.
One of the most notable examples of this is the emergence of the Internet in the late twentieth century. The Internet was created by combining existing technologies such as computer networks and telecommunications, and it quickly became a platform for a wide range of new business models. For example, the rise of e-commerce and online marketplaces allowed consumers to shop and purchase goods and services online, while the growth of social media platforms enabled individuals and businesses to connect and share information on a global scale.
Another example is the emergence of the smartphone. The smartphone combined existing technologies such as the Internet, mobile telephony, cloud computing, the Global Positioning System, which is a satellite-based navigation system, and personal computing into a single device, creating a new platform for a wide range of business models and applications. The rise of mobile apps, for example, has transformed the way we communicate, shop, and access information, and it has created new opportunities for businesses to reach and engage with their customers.
We are now at the cusp of a new platform, which is the convergence of technology, data, human and computer interactions, business models, identities, and organization structures (Figure 1.1). The new platform facilitates a more open way of conducting business transactions, government activities, and social engagements while enabling a New Economy built on self-sovereign principles.

Figure 1.1 Web3 is the convergence of convergence.
In the next sections, we will dive into each convergency in more detail to explain Figure 1.1.
We will focus on the phenomenon of technology and data convergence. From the ABCDEFGSIS framework that serves as a conceptual roadmap for Web3 technologies to the integration of AI and ML with blockchain for enriched and trusted data, the sections offer a comprehensive exploration of how Web3 is at the nexus of technology’s most potent paradigms. Further, we extend the discourse to examine how augmented reality (AR), virtual reality (VR), and the IoT converge with blockchain to revolutionize data ownership. Beyond technology and data, we also venture into the realms of interaction, business models, identity, and organizational structures, all through the lens of Web3. By the end of this section, the reader will gain a nuanced understanding of how Web3 is not just a technological shift, but a holistic transformation that brings together disparate technologies to create a more integrated, secure, and user-centric digital ecosystem.
1.2.1 Web3 and Technology Convergence
Technology convergence is the process of merging different technologies to create new and innovative solutions. It occurs when various technologies integrate and work together seamlessly. Two main driving forces behind technology convergence are the continuous innovation in individual technologies and the need for increased productivity in the business and government sectors.
Web3 can be seen as an ongoing example of technological convergence. It encompasses several key technologies, including AI and ML, blockchain, cloud computing, data analytics, ownership, AR and VR, the IoT, decentralized storage, and decentralized identity (Figure 1.2).
Web3 and the ABCDEFGSIS Framework
From a broader technological viewpoint, Web3 represents a fascinating convergence of various cutting-edge technologies, elegantly captured by the acronym ABCDEFGSIS. Each letter in this acronym represents a distinct yet interconnected pillar of technology that contributes to the rich tapestry of Web3, forming an ecosystem that is greater than the sum of its parts.
Starting with “A” for AI, we see how ML algorithms and AI-driven analytics add a layer of intelligence to the decentralized networks. Whether it’s predictive algorithms for market trends in DeFi or natural language processing capabilities for enhanced user interaction, AI is a transformative force in the Web3 landscape.
“B” stands for blockchain, the foundational technology that underpins the secure, transparent, and decentralized nature of Web3. Blockchain technology provides the immutable ledger and the smart contract functionality that drives dApps, governance models, and digital asset transactions.
“C” is for cloud computing, a technology that dovetails seamlessly with blockchain to offer scalable and on-demand computational resources. In a decentralized setting, cloud services could be offered by a swarm of providers, ensuring robustness and resilience.
“D” signifies decentralized identity, a paradigm shift from traditional identity verification systems. In Web3, individuals have self-sovereign identities, allowing them to have greater control over their personal data and how it’s shared, which is securely managed through blockchain and cryptographic techniques.
“E” encapsulates a range of Web3 ecosystem technologies such as DAOs, which offer new governance models that are transparent, democratic, and disintermediated, fundamentally altering how we think about organizational structures.
“F” stands for FinTech, referring to the transformative impact Web3 technologies are having on financial services. From decentralized exchanges to lending platforms and insurance protocols, FinTech in the realm of Web3 is a hotbed of innovation.
“G” is for 5G and 6G technologies, the high-speed communication networks that make real-time, low latency interactions possible in the Web3 universe, including for IoT devices and even decentralized streaming services.
The first “S” represents Cyber Security, a critical component given the decentralized and open nature of Web3. Techniques ranging from cryptographic hashing to ZKP are employed to ensure data integrity, privacy, and secure transactions.
“I” stands for the IoT, a technology that gains newfound applicability and security in a Web3 context. IoT devices can transact and interact in a trustless manner, thanks to the immutable nature of blockchain technology.
Finally, the last “S” is for storage, specifically decentralized storage solutions such as IPFS and Filecoin that offer secure, resilient, and censorship-resistant data storage options, aligning perfectly with the ethos of decentralization that Web3 champions.
The ABCDEFGSIS framework provides a holistic view of the diverse technological pillars that converge to form the Web3 ecosystem. Each contributes unique capabilities and functionalities, and their convergence amplifies the transformative potential of Web3. Whether it’s AI-driven smart contracts, blockchain-backed IoT devices, or 5G-enabled real-time transactions, the integration of these technologies is setting the stage for a more open, decentralized, and equitable digital future.
Enriched Data for Web3: Convergence of AI/ML with Blockchain
The convergence of AI/ML with AR/VR/IoT yields a rich and valuable data set that fuels the development of Web3. By combining the capabilities of AI/ML, especially generative AI as exemplified by the popular ChatGPT application and its large language model (LLM) (see Box 1.1), with AR/VR/IoT, we can create highly immersive and interactive online experiences. These experiences generate a wealth of data that can be analyzed and utilized across various applications.
“ChatGPT” stands for Chat Generative Pre-Trained Transformer. It is part of the Generative Pre-Trained Transformer (GPT) series developed by OpenAI. ChatGPT is specifically designed for conversational tasks and can generate humanlike responses given a prompt or a conversation context. “LLM” is an abbreviation for “large language model.” It refers to a class of models, such as ChatGPT, that are trained on massive amounts of text data to understand and probabilistically generate humanlike language. These models leverage deep learning techniques, particularly transformers, to process and generate natural language. Large language models can be used for a wide range of applications, including text generation, translation, question answering, and more. They have the potential to be game changers in the field of Web3 and beyond.
For instance, AR/VR/IoT technology can be utilized to create virtual environments for training AI/ML algorithms. Subsequently, AI/ML can analyze the data generated by AR/VR/IoT systems and derive predictions or recommendations from it. This convergence enables AI/ML and AR/VR/IoT to play a pivotal role in the development of Web3 and the future of the Internet.
Trusted AI/ML for Web3: Convergence of AI/ML and Blockchain
The convergence of AI/ML with blockchain technology, combined with the use of smart contracts, has the potential to establish a system that incentivizes the sharing of data and algorithms among different entities. For instance, data providers can be rewarded for sharing their data with AI/ML developers, while developers can be rewarded for sharing their algorithms with others. This collaborative environment fosters open AI/ML development, increases transparency for AI, and accelerates the creation of new and innovative applications for Web3.
Additionally, blockchain technology and smart contracts ensure the security and integrity of shared data and algorithms. By employing cryptographic techniques and decentralized ledger technology, a tamperproof system can be established to track and verify the origin of data and algorithms. This enhances trust, reduces bias, and increases confidence among all participants in the AI/ML ecosystem.
Data Ownership for Web3: Convergence of AR/VR/IoT, and Blockchain
The convergence of blockchain technology, decentralized identity, and AR/VR/IoT enables the development of a system that addresses data ownership in Web3. By combining these technologies, we can establish a framework for managing and tracking data ownership, ensuring that individuals and organizations maintain control over the data they generate and share, while also being fairly compensated for its value.
The integration of blockchain and AR/VR/IoT has significant implications for various industries, including business and entertainment. In the business realm, this convergence allows for the creation of innovative AR/VR experiences that incorporate blockchain-based data ownership and decentralized identity. For instance, companies can build virtual marketplaces where users can securely buy and sell virtual goods using blockchain-based tokens. Additionally, virtual events can be organized, offering attendees the opportunity to interact with each other and virtual content in a controlled and secure environment.
1.2.2 Web3 and Data Convergence
The convergence of data from a wide range of sources, including AR/VR/IoT, mobile devices, blockchain transactions, DeFi transactions, NFT transactions, gaming platforms, Remote and Local environments, and different departments within a business, can provide a wealth of actionable data and applications for Web3.
By bringing together data from these diverse sources, it is possible to create a comprehensive picture of the online environment and the activities of individuals and organizations within it. This data can then be used to create a wide range of applications for Web3, including analytics tools, predictive models, and decision-making systems.
For example, the data convergence from AR/VR/IoT, mobile devices, and blockchain transactions can provide insights into the behavior and preferences of users in different contexts and can be used to create personalized experiences and recommendations. The data from DeFi and NFT transactions can provide insights into the evolution of DeFi and the growing popularity of NFTs and can be used to create new financial instruments and investment opportunities. The data from gaming platforms can provide insights into the behavior and preferences of gamers and can be used to create new and engaging game experiences.
Convergence of data can be facilitated by technologies such as data lakes, data warehouses, and cloud computing, which can help to efficiently store and manage large amounts of data. The ultimate goal of the convergence of data is to provide businesses with a comprehensive view of their operations and enable them to make more informed data-driven decisions.
The convergence of data from a wide range of sources has the potential to cause overuse and misuse of data if there is no appropriate data governance structure in place. In particular, if centralized BigIT companies own the data, there is a risk that they will overuse and misuse the data for their purposes, without sufficient consideration for the rights and interests of individuals and organizations whose data is being used.
To prevent the overuse and misuse of data in this context, it is important to establish clear demarcation for the ownership of data and to develop an appropriate data governance structure that can provide oversight and accountability for the use of data. This can include mechanisms for ensuring that individuals and organizations have control over the data they generate and share, and can be compensated for the value of that data. It can also include mechanisms for ensuring that data is used ethically and responsibly, and for protecting the privacy and security of individuals and organizations whose data is being used.
1.2.3 Web3 and Interaction Convergence
Imagine a Web3 application that supports different kinds of human-to-human and human-to-machine interactions, including AR/VR, Mixed Reality, Extended Reality, Read/Write Execute, Remote, and Local. How can this new business application create value for society, increase productivity, and reduce cost?
Users could use the platform to conduct meetings, presentations, and other types of collaborative work, allowing them to share documents, images, and other types of media in a shared virtual space. The platform could also support Read/Write/Execute functionality, allowing users to access, modify, and run complex data sets and algorithms in real time using smart contract platforms and blockchain technologies.
Additionally, the platform could support both Remote and Local interactions, allowing users to connect from anywhere in the world while also enabling face-to-face meetings and interactions in the same physical space. This would make it easier for users to collaborate and communicate, regardless of their location or physical proximity to each other.
Overall, this kind of business application could create value for society by enabling more efficient, effective, and engaging forms of communication and collaboration. Providing a platform for virtual meetings and interactions, it could help to reduce the need for travel and physical meetings, saving time and resources. It could also enable more immersive and interactive forms of communication, making it easier for people to connect and work together, regardless of their location or other constraints.
1.2.4 Web3 and Business Models Convergence
A Web3 application that combines various business models, such as social networking, payment solutions, DeFi, NFTs, the Metaverse, gaming, and supply chain management, could potentially create significant business value by providing a holistic platform for various types of online activities and transactions.
For example, such an application could enable users to connect and form communities within the platform, using social networking features such as profiles, posts, comments, and messaging. It could also provide a payment solution that allows users to securely and easily transfer value within the platform, using cryptocurrencies or other digital assets.
In addition, the application could integrate with DeFi protocols and services, allowing users to access a range of financial products and services, such as lending, borrowing, and trading. It could also support the creation and trading of NFTs, allowing users to buy, sell, and collect unique digital assets, such as virtual real estate, collectibles, and in-game items (Xsolla 2022).
Furthermore, the application could provide access to the Metaverse, a virtual world where users can interact and engage with each other and with virtual environments (CULT & RAIN 2022). This could include features such as avatars, virtual environments, and games, allowing users to explore, socialize, and play together in immersive, virtual settings.
Moreover, the application could incorporate supply chain management functionality, allowing users to track and manage the flow of goods and services within the platform. This could include features such as product listings, order management, and logistics tracking, making it easier for users to buy and sell goods and services within the platform.
Overall, this kind of Web3 application could create significant business value by providing a comprehensive platform for various online activities and transactions. By bringing together a range of different business models and functionality within a single platform, it could provide users with a seamless and convenient way to connect, communicate, transact, and engage with each other and with digital assets.
1.2.5 Web3 and Identity Convergence
Integrating or mapping decentralized identity with legacy active directory identity could allow businesses to allow users to bring their own identities without having to store them. This could potentially increase security and help businesses to meet privacy regulations such as the General Data Protection Regulation.
By allowing users to bring their own identities, businesses could avoid the need to store sensitive personal data in a central repository. This could reduce the risk of data breaches and other security incidents, as there would be fewer centralized points of failure where data could be accessed by unauthorized individuals. Additionally, by allowing users to bring their own identities, businesses could make it easier for users to control and manage their own data, potentially increasing user trust and enabling businesses to meet the requirements of privacy regulations.
Furthermore, integrating or mapping decentralized identity with legacy active directory identity could allow businesses to allow employees to bring their own identities without having to store them in a central repository. This could potentially increase security and reduce the risk of unauthorized access to sensitive data and systems. By allowing employees to use their own decentralized identities to access data and systems, businesses can benefit from increased user control and privacy, reduced attack surface, improved access management, enhanced auditability and compliance, and increased resilience - all of which can enhance the overall security posture of the organization.
The application could be any type of web application that has the capability to integrate with decentralized identity, OpenID Connect, which is an identity protocol to allow a simple way for users to log in to different websites and applications without having to create new passwords, similar to how logging in with Google or Facebook works (Mody Reference Mody2020), and legacy active directory identity systems. This could potentially allow the application to offer a range of features and capabilities that benefit businesses, society, and individuals.
For example, such an application could provide businesses with a way to securely manage and control access to sensitive data and systems. By integrating with decentralized identity and OpenID Connect systems, the application could enable businesses to use decentralized identity credentials to authenticate users and grant them access to data and systems. This could help businesses to increase security and reduce the risk of unauthorized access, potentially reducing the risk of data breaches and other security incidents.
Additionally, an application with support for the integration of decentralized identity, OpenID Connect, and active directory identity systems could make it easier for businesses to manage and integrate multiple identity systems. This could reduce the cost and complexity of managing user identities, potentially making it easier for businesses to manage access to their data and systems.
For society, an application with support for decentralized identity, OpenID Connect, and active directory identity systems could help to increase security and privacy for individuals. By providing a way to securely manage and control access to personal data, such an application could help to reduce the risk of identity theft and other forms of online fraud. Additionally, an application that makes it easier for individuals to access and use online services could increase convenience and make it easier for people to participate in the digital economy.
1.2.6 Web3 and Organization Structures Convergence
The advent of Web3 technologies has sparked a fascinating convergence between traditional corporate structures and decentralized organizational models. This amalgamation is reshaping the landscape of governance, decision-making, and global scalability in unprecedented ways. By intertwining the established frameworks of limited liability companies (LLCs), S corporations, and C corporations with the innovative constructs of DAOs, Limited Liability Autonomous Organizations (LAOs), and Decentralized Autonomous Cooperatives (DACs), a new frontier of organizational flexibility and adaptability has been opened. This convergence is not merely an academic curiosity; it has practical implications for how organizations function, scale, and engage with stakeholders across global ecosystems.
In the traditional corporate world, structures like LLCs, S corporations, and C corporations have been popular due to their well-defined governance frameworks and legal protections. Limited liability companies offer operational simplicity and flexibility, allowing for various taxation options and limited liability for their members. S corporations are similar but come with restrictions on shareholder numbers and types, yet offer the benefit of pass-through taxation. C corporations, while subject to double taxation, are well suited for large operations requiring complex organizational hierarchies and multiple rounds of funding.
Emerging from the decentralized ethos of blockchain technology, we have innovative structures such as DAOs, LAOs, and DACs. Decentralized autonomous organizations represent a leap toward automated, transparent governance, where community members make decisions through a series of smart contracts on a blockchain. Limited Liability Autonomous Organizations blend features of LLCs and DAOs, providing a middle ground that offers both legal protections and decentralized governance. Decentralized Autonomous Cooperatives extend the DAO concept to focus on cooperative efforts, emphasizing equal voting rights or stake-based governance among participants.
The real marvel in the Web3 space lies in the growing trend of organizations adopting hybrid models, combining elements of both decentralized and traditional structures. For example, a blockchain-based company may operate under a DAO for aspects related to community governance and protocol upgrades, while simultaneously being registered as an LLC or C corporation for handling regulated activities, such as financial transactions and legal contracts. This dual structure leverages the global reach and community-driven nature of DAOs while retaining the benefits of a legally recognized corporate entity that can interface with traditional financial and legal systems.
This convergence offers a slew of advantages. First and foremost is flexibility. The hybrid model allows for agile governance where quick, community-driven decisions can be made through the DAO, while more complex, legally bound decisions can be funneled through the traditional corporate structure. Second, the duality allows for unprecedented scalability. The DAO, unbounded by geographical limits, enables global participation and decision-making. In contrast, the traditional entity can focus on compliance with local laws and regulations, providing a balanced approach to global expansion.
Moreover, this converged structure is particularly potent for attracting a diverse range of ecosystem participants. From venture capitalists who are more comfortable investing in a legally recognized entity to DeFi enthusiasts advocating for a DAO, the hybrid model caters to all. It effectively bridges the gap between the centralized and decentralized worlds, allowing organizations to tap into resources, both financial and human, from a broad spectrum of the ecosystem.
Chapter 9 will dive deep and explore different types of DAO and their role in the formation of Web3 organizations.
1.3 Web3 from a User Experience Regulation, and Investment Perspectives
In this section, we will probe into Web3 by focusing on three additional pivotal aspects: user experience, regulation, and investment. We will delve into Web3 user experiences and challenges, explore the regulatory challenges posed by its disruptive nature, and scrutinize the investment landscape marked by both high potential and risk. By examining these dimensions, we aim to provide a well-rounded understanding of Web3’s complexities and implications.
1.3.1 Web3 from User Experience Perspectives
Web3 applications offer a user experience that prioritizes convenience and control. Instead of juggling multiple usernames and passwords for different platforms, users can simply rely on a private key stored in their digital wallet to access Web3 applications. This eliminates the need for time-consuming registrations and grants immediate permission to utilize these applications.
From a user experience perspective, Web3 applications provide several key advantages:
Simplified Access: Users no longer need to remember multiple login credentials or go through the hassle of creating new accounts for each platform. A single private key stored securely in their digital wallet serves as their universal access key to Web3 applications. Identity applications such as “Sign In with Ethereum” have the potential to replace the password (Rocco Reference Rocco2022). Indeed, Google’s upcoming Passkeys feature also relies on the same idea of using the private key of the device instead of a password to login the user into supported web applications (Google 2023).
Enhanced Privacy: Web3 applications increase the protection of user anonymity and confidentiality. There is no requirement to register with personal information such as email addresses or phone numbers, protecting users’ privacy and reducing the risk of data breaches or unwanted marketing communications.
Seamless Cryptocurrency Integration: Web3 applications seamlessly integrate with cryptocurrency wallets across multiple blockchains. Users can manage their digital assets, make transactions, and interact with DeFi protocols without the need for complex setups or third-party intermediaries.
User Control and Ownership: Web3 applications empower users with full control and ownership of their data. They retain sovereignty over transactional data, browsing history, and any other data generated within the application. This user-centric approach ensures that individuals have the final say on how their data is utilized and shared.
Active Participation: Web3 applications offer users the opportunity to actively engage with the platform. By interacting with smart contracts, users can perform various actions, such as participating in decentralized governance, contributing to DAOs, or engaging in P2P transactions. This active participation gives users a sense of ownership and fosters a stronger sense of community within the Web3 ecosystem.
While Web3 applications strive to enhance user experiences, it’s worth noting that the user interface and speed of these applications may still be a work in progress. Web2 counterparts currently offer more polished and intuitive interfaces. However, continuous advancements in Web3 technologies aim to bridge this gap and provide a seamless user experience that rivals and surpasses that of traditional Web2 applications.
1.3.2 Web3 from a Regulatory Perspective
Web3’s transformative shift has profound implications from a regulatory standpoint, presenting both a set of challenges and a new frontier of opportunities for regulatory oversight and compliance. The decentralized nature of Web3 creates inherent complexities in applying existing regulatory frameworks. Traditional regulatory mechanisms often rely on centralized entities for enforcement. In a Web3 landscape, the absence of such centralized authorities complicates the enforcement of laws and creates potential risks for consumers and businesses alike. These challenges also extend to areas such as law enforcement and national security, where the lack of a central oversight body can pose significant obstacles.
Yet, the same technology that poses these challenges also holds the promise of streamlining regulatory compliance and oversight. Blockchain technology, the backbone of many Web3 applications, enables transparent and immutable recordkeeping. This characteristic can serve as a powerful tool for regulators, providing unparalleled access to real-time transaction data without the need for intermediaries. Such transparency can be leveraged to monitor businesses and organizations more effectively, thereby facilitating easier detection and prevention of fraudulent or illegal activities.
Within this regulatory context, it’s worth noting the concept of a “digital bill of rights,” a framework proposed to protect the digital rights of individuals. Ramesh Srinivasan, in an opinion piece for The Guardian published on January 28, 2020, titled “Americans Need a ‘Digital Bill of Rights.’ Here’s Why,” posits that a digital bill of rights is essential for safeguarding individual liberties in the digital age (Srinivasan Reference Srinivasan2020). He argues that such a framework should encompass the rights that allow people to access, use, create, and publish digital media, as well as to operate electronic devices and networks. Web3 technologies could potentially serve as a technological means to uphold such a digital bill of rights, offering individuals greater control over their data and digital identities.
The evolving landscape of Web3 technologies signals that we are still in the early stages of understanding their full regulatory implications. The challenges are numerous, but so are the opportunities for creating more transparent and accountable systems. Addressing these regulatory considerations will require a collaborative, multi-stakeholder approach involving regulators, technology developers, and businesses. Such collaboration aims to strike a balance between innovation and consumer protection, mitigating risks while also fostering an environment where Web3 technologies can thrive responsibly. For those looking for a more in-depth examination of these regulatory complexities, Chapter 11 of this book will delve into the subject matter extensively, exploring how to navigate the intricate interplay between Web3 technologies and regulatory frameworks.
1.3.3 Web3 from an Investment Perspective
The investment thesis for Web3 revolves around its transformative potential to redefine the architecture and functionalities of the Internet and other digital ecosystems. Investing in Web3 is akin to investing in the foundational layers of a new digital civilization. From a financial perspective, the market capitalization of decentralized platforms and tokens is still in its nascent stage, offering high risk, high reward opportunities that could mirror the early days of the Internet or even surpass them in terms of disruptive potential.
At the core of the Web3 investment thesis is the technology stack that enables this decentralization. Blockchain technology, with its decentralized ledger and immutable transactions, provides the backbone for much of Web3’s potential. Its ability to facilitate smart contracts, manage DAOs, and enable a new level of trustless transactions places it at the forefront of Web3’s investment prospects. AI and ML algorithms can make these decentralized systems smarter and more adaptive. The IoT can bring in real-world data to make dApps more useful and versatile. Cyber Security technologies are crucial to secure these decentralized systems and build trust among users. Investing in companies or projects that are innovating in these enabling technologies is like buying “pickaxes during a gold rush.”
However, it’s critical to recognize the complexities and risks involved. Regulatory uncertainties loom large as governments around the world are still grappling with how to categorize and regulate decentralized assets and platforms. Scalability and energy efficiency are ongoing technical challenges that could influence the rate of adoption. User adoption is another significant risk factor, as the transition from centralized to decentralized systems requires a steep learning curve and a shift in mindset for the average user.
Despite these challenges, the potential upside of a decentralized, more equitable digital ecosystem is enormous. From redefining digital identity to revolutionizing the global financial system, the use cases are as varied as they are impactful. Thus, for investors who are willing to navigate the risks, understand the technological underpinnings, and think long term, Web3 presents a multifaceted investment landscape that is teeming with opportunities.
Investment in Web3 is not just a bet on a particular technology or a set of companies; it’s an investment in a paradigm shift. It’s a wager on a future where decentralized networks replace centralized authorities, where users become stakeholders, and where digital assets are as ownable and transferable as physical ones. This is why the Web3 investment thesis is so compelling – it promises not just financial returns but also a stake in a future that could redefine the very fabric of the digital world. In Chapter 2, we will discuss the closely related topic to investment by looking into business opportunities from first principles perspectives.
1.4 Chapter Summary
Figure 1.3 summarizes what we have discussed in this chapter.
We started with a high-level introduction to Web3, a groundbreaking progression in our digital era, tracing the development of the Internet from Web1 and Web2 and now to Web3 and outlining the significant shifts and the implications of this evolution. The core concepts and terminology associated with Web3, such as decentralized networks, blockchain technology, smart contracts, and privacy concerns are introduced in the first section.
The chapter then emphasizes how Web3 signifies a massive intersection across multiple domains such as technology, data, interaction, business models, identity, and organizational structures. The technology convergence aspect of Web3 illustrates how it unifies diverse technologies, enabling remarkable levels of interconnectivity and interoperability. The role of data in Web3 explains how it fosters a more unified and integrated data ecosystem and why data governance is important.
Section 1.3 delves into how Web3 influences the way people interact, how business models evolve, and how identities are managed online. It also underscores the transformative influence of Web3 on the shape and dynamics of organization structures, pointing toward more decentralized and participatory models.
The perspective then shifts to user experience, focusing on how Web3 alters the user interaction and experience on the Internet, fostering a more personalized, secure, and autonomous environment. Regulation, a crucial facet of any technology’s development, is also discussed in the context of Web3. It provides a glance at the challenges and possibilities concerning the governance of this new digital landscape. The chapter finally delves into the investment thesis behind Web3. The chapter effectively lays the groundwork for the subsequent discussions on the implications and applications of Web3.
1.5 Chapter Questions
1. How does Web3 redefine the concept of ownership and control over personal data in contrast to the traditional Internet?
2. In what ways does the convergence of technologies in Web3 contribute to its transformative potential?
3. What are the key challenges and considerations for regulators in adapting to the decentralized nature of Web3?
4. How does Web3 enable new business models and disrupt traditional industry structures?
5. What are the implications of Web3 for P2P collaboration and decentralized decision-making?
6. How does Web3 address the issue of trust and security in decentralized environments?
7. What are the potential scalability limitations of Web3, and how are they being addressed by emerging solutions?
8. How does Web3 empower individuals in terms of controlling their digital identity and personal information?
9. What are the legal and regulatory implications of Web3’s decentralized nature on issues such as intellectual property rights and jurisdiction?
10. How does Web3 impact the financial landscape, and what are the potential risks and benefits associated with DeFi?
11. What are the ethical considerations surrounding the use of Web3 technologies and the potential for misuse or abuse?
12. How can traditional organizations adapt to the emergence of DAOs in the Web3 ecosystem?
13. What are the key factors that attract investors to the Web3 space, and what should they consider when evaluating investment opportunities?
14. How does Web3 foster inclusivity and empower underrepresented communities in accessing and participating in the digital economy?
15. What are the potential social, economic, and political implications of the widespread adoption of Web3 technologies in the future?