Preface

 —To those wondering whether to read this book (2026 Edition)

Who is this book for?

This book is for those who professionally produce websites and digital experiences (whether as part of a production agency, as a sole proprietor, or as a freelancer) and those involved in the marketing and operations of corporate websites and digital products.

As of 2026, where AI assists in content generation and even user experience design, we hope prompt engineers and those in charge of AI integration will also read this book. Furthermore, we hope designers of digital experiences within the Web3 context—such as blockchain, NFTs, DeFi, and DAOs—will pick it up as well. This is because the concepts of "data," "users," and "services" expounded in this book apply directly to product design in the AI era, as well as to Web3 design centered on decentralization, token economics, and ownership.

We especially want those who think, "This doesn't apply to me because I only work on small-scale websites," to read this. The topics covered will undoubtedly influence your work in the future. In a broader sense, we also welcome anyone involved in corporate sites, commercial sites, and digital services as stakeholders to read it.

What is the general content of this book?

This book was originally written in 2006. At the time, the term "Web 2.0" was a major trend, and the role of business websites was being reconsidered.

Twenty years later, in 2026, we are simultaneously entering the eras of AI and Web3. Large language models like ChatGPT, generative AI, AI agents—the surface level of technology has changed dramatically. On the other hand, blockchain, NFTs, DeFi, DAOs, and decentralized storage (IPFS, Arweave) have emerged, establishing "ownership" and "decentralization" as new pillars of the digital economy in place of centralized platforms. Yet, many of the ideas presented in this book remain remarkably undiminished.

The perspective of viewing business through the lens of "data," "users," and "services." The importance of openness and collaboration. The attitude of releasing a product at 50% completeness and welcoming users as contributors. The recognition that capturing attention is of chief importance—these frameworks remain effective even now, when AI is generating content, transforming experiences, and rewriting business models. Furthermore, in the context of Web3, new elements such as "data ownership," "token incentive design," and "community governance" have been added, making the framework of this book even more expandable.

Under these circumstances, what should web professionals (professional web creators, business site operators, digital product creators in the AI era, and service designers utilizing Web3 and blockchain) do? This book provides the foundation for thinking about that question. The concepts concerning planning, operations, costs, and risk management written during the Web 2.0 era will prove useful for designing websites and digital services in the AI era, as well as for designing decentralized applications (dApps) and token economies in Web3.

Who wrote this book? (Circa 2006)

The author of this book, Hajime Nakano, was a producer at a web production company called Arc Web Inc. located in Ginza, Tokyo. In addition to producing websites for various clients, he was involved in planning and PR for the open-source "Zen Cart Japanese Translation Project," planning the social bookmarking service "Snippy," and serving as a moderator for the industry group "WebSig24/7." Together with co-author Naoki Ando, he decoded the trends of Web 2.0 from a practical standpoint and mapped out the future of business websites.

About the 2026 Edition Preface

This preface has been rewritten to encourage readers in the AI era of 2026 to pick up *The Web Professional's Book*, originally published in 2006. While the main text remains as it was written, we designed this preface as an entry point for reinterpreting the book in today's context, grounded in the firm belief that the underlying philosophy remains entirely relevant.

Over the span of twenty years, services like del.icio.us and Flickr evolved into different forms, and the center of the Blogosphere shifted to social media and short-form video. On the other hand, Web3 mechanisms such as NFTs, DAOs, and DeFi have introduced new options for content ownership and community governance. Even so, the question this book poses—"What should web professionals do?"—still awaits an answer. For those of us working alongside AI and exploring the possibilities of Web3, we hope this book serves as a valuable first step in the journey to find that answer.

2026

Chapter 1: What Is Web 2.0 — Decoding Web 2.0 from a Web Professional's Perspective (2026 Edition)

In this chapter, we will examine the meaning of Web 2.0 for web professionals, using Tim O'Reilly’s famous paper "What Is Web 2.0" to explain basic concepts such as the differences between Web 1.0 and Web 2.0 and the seven principles. In the 2026 edition, we reinterpret these concepts through the lens of the AI era and Web3 (decentralization, token economics, and ownership) to explore their contemporary relevance.*

1.1 The pace of web evolution continues to accelerate

Between 2003 and 2004, the explosive adoption of blogs began, and in 2005, websites symbolizing "Web 2.0" such as del.icio.us, Flickr, and Wikipedia entered the spotlight. It was also the year Ajax suddenly ascended, RSS adoption progressed, and services like Google Maps began opening their APIs, leading to numerous mashups and remixes.

Twenty years have passed since then. Today in 2026, we find ourselves in the midst of even faster change.

At the tail end of 2022, the arrival of ChatGPT brought large language models (LLMs) within reach of everyday users. Since then, generative AI has permeated content creation, search, customer support, and coding assistance, while AI agents and multimodal models are rewriting daily digital experiences. Simultaneously, Web3—represented by blockchain, NFTs, DeFi, and DAOs—presents a new paradigm: shifting "from centralization to decentralization" and "from platform walling to ownership." While Web 2.0 revolved around "user participation," the AI era centers on "human-AI collaboration," and Web3 relies on "user ownership and token-based incentives" as new core pillars.

Yet, the sense that the speed of web evolution is accelerating remains unchanged from back then. If anything, the cycle of change has shortened. For web professionals involved in the planning and building of digital products, maintaining an active interest in "what is happening at the cutting edge of the Web" is even more vital today than in 2006.

1.2 Re-evaluating "Web 2.0" from a Web Professional's Perspective

In 2005, the Blogosphere was rife with discussions and chatter about Web 2.0. At the peak of this discourse was Tim O'Reilly's seminal paper "What Is Web 2.0," published in September of that year. Gaining momentum through events like the Web 2.0 Conference 2005, Web 2.0 became one of the biggest buzzwords in the IT and web industries of the time.

In 2026, the term "Web 2.0" itself has largely faded from everyday conversation. However, the depth of the cultural shift and the wide scope of relevant technical topics that O'Reilly sought to capture remain highly valid frameworks.

At the time, the Web was said to be undergoing a major version upgrade from 1.0 to 2.0—the next generation of web infrastructure. Today, as an extension of that journey, we are experiencing the "AI-integrated Web" and the "decentralized, ownership-based Web3" simultaneously. The Web as a platform, the harnessing of collective intelligence, the value of data, the architecture of participation—all of these continue to function as the foundation of product design in the AI era. Web3 adds new design principles like "data ownership," "token value distribution," and "automated trust via smart contracts."

Building on the context defined in this chapter, subsequent chapters will present concepts for "Business Site 2.0" and "Web Professional 2.0." The 2026 edition explores how to read these concepts anew within the context of AI-aided environments.

1.3 Will Web 2.0 end as a passing phenomenon?

Web 2.0 was often described as a buzzword or hype. It is the fate of trendy words to fade away. At the time, acquisitions of Flickr and del.icio.us by Yahoo! indicated that the evolution of features had entered a stable phase, which some pointed to as the cooling down of a fad.

Twenty years later, the answer is clear:

The "word" Web 2.0 faded, but the "paradigm" it indicated became established.

Folksonomy (tagging) has integrated deeply into social media and content platforms as hashtags and metadata. API integration has become standard practice in cloud services and AI implementations. User-participatory content serves as the bedrock supporting TikTok, YouTube, and X (formerly Twitter) under the banner of UGC (User Generated Content). The long tail is permanently tied to subscription and micro-payment models. In Web3, digital asset ownership via NFTs, micropayments via tokens, and community governance via DAOs are solidify as new forms of "participation" and "value distribution."

Web 2.0 did not end as a momentary fad. Its core ideas have simply evolved into different forms, serving as the foundation for modern digital experiences. Even in the AI era, this book’s framework of thinking through "data," "users," and "services" remains undiminished.

1.4 Paradigm and Paradigm Shifts

To state the conclusion upfront: Web 2.0 was a new "paradigm" (framework) for the Web, and what occurred back then was a true "paradigm shift" (change in framework). And in 2026, the widespread adoption of AI is inducing another paradigm shift.

1.4.1 Paradigm

A paradigm refers to the prevailing values and ways of looking at things in a given era, a concept popularized by science historian Thomas Kuhn in his book *The Structure of Scientific Revolutions*.

In the web world, the transition from "information is created by experts" to "information is created with user participation" was a clear paradigm shift. Right now, the transition from "content is created by humans" to "content is created through human-AI collaboration" is unfolding as the next paradigm shift.

1.4.2 Paradigm Shift

A paradigm shift can be described as a "revolution of values," creating a discontinuous state brought about by that revolution.

Discontinuity means a situation where conventional wisdom no longer applies. Historically, the established figures of the time—those who fit best within the old paradigm—are often the ones who make the most erroneous judgments during these shifts.

The same can happen in the AI era. Rather than lamenting that "AI will take human jobs," focusing on "how to collaborate with AI" leads to more successful adaptation within the new paradigm.

1.5 Was Web 2.0 truly a paradigm shift?

Some remained skeptical about whether Web 2.0 could truly be considered a paradigm shift. Often, those most deeply immersed in the existing web world are the most hesitant to accept new transformations on short order.

Two decades have provided the answer.

Today, social media, video sharing, cloud services, API integrations, and the subscription economy all exist as direct continuations of the path Web 2.0 foresaw. Changes that elevate user experience, facilitate knowledge sharing, and deepen communication have occurred irreversibly.

Ultimately, internet users decide the direction of the Web. As the vast majority shifted toward supporting next-generation web experiences, it was only logical to recognize that the paradigm had changed. Similarly, the changes brought by AI will become irreversible as users continue to embrace and apply them.

1.6 Why we must adapt to the new paradigm

Because the direction of the wind has changed for users, both business sites and web professionals must carefully consider how to adapt. In sporting terms, we are in an era where the rules of the game have changed.

The mission of a business site is to acquire new visitors daily, facilitate content engagement, convey the appeal of products and services, and ultimately drive various conversions. The fact that the rules for achieving these results have changed remains true in the AI era.

Indeed, the arrival of AI has made these rules even more complex. Search engines are moving toward delivering direct answers via AI, generative AI allows for the mass production of content, and personalization and automation are becoming standard user expectations. Seeking out optimal methods under these new rules as early as possible is a highly worthwhile pursuit and a rational course of action for any web professional.

1.7 Defining Web 2.0

Let us look at O'Reilly’s definition of Web 2.0 from "What Is Web 2.0." From our 2026 vantage point, these principles translate seamlessly into core concepts for product design in the AI era.

1.7.1 Differences between Web 1.0 and Web 2.0

Comparing Web 1.0 and Web 2.0 highlights several core shifts:

- From mass broadcasting to addressing the long tail: Moving from DoubleClick to Google AdSense. Today, AI-driven personalized advertising has evolved this even further.

- From closed to open: Moving from Ofoto to Flickr. Today, discussions extend beyond APIs to open AI models and open data. In Web3, open-source smart contracts, on-chain data transparency, and content preservation via decentralized storage (IPFS, Arweave) present new dimensions of openness.

- From expert editing to collective editing: Moving from Britannica Online to Wikipedia. Today, we are in an era where AI generates and assists in content creation.

- From taxonomy to folksonomy: Moving from professional classification to user tagging. Today, this is combined with automated AI tagging and categorization.

- From stickiness to syndication: Moving from keeping users on a single site to cross-site integration. Today, cross-platform experiences have become the norm.

The differences between Web 1.0 and Web 2.0 can be summarized as follows:

Web 1.0 was a finished, singular, closed, static world that presumed professional management. Conversely, Web 2.0 shifted to a multiple, ubiquitous, open, dynamic world that presumed amateur participation.

In other words, the nature of the Web shifted dramatically from single to multiple, unique to ubiquitous, closed to open, static to dynamic, expert-centric to general participation, and management to participation.

In 2026, adding "human-only to human+AI" and "centralized to decentralized" to this comparison aligns it perfectly with our modern Web3 era.

1.7.2 The Seven Principles of O'Reilly

We can summarize O'Reilly’s seven principles from "What Is Web 2.0" from a 2026 perspective as follows:

1. The Web as Platform

Web 2.0 is an overarching concept encompassing strategic approaches, mindsets, and technologies. The requirements of a seamless platform era, such as data management and addressing the long tail, have become even more vital in the AI era. AI is now commonly provided as a "service" operating on top of platforms.

2. Harnessing Collective Intelligence

Wikipedia, folksonomy, eBay user ratings—the key is not just leveraging user contributions, but building a structure where they grow organically (the "architecture of participation"). In the AI era, a new loop has been added where user behavior data and feedback directly improve the models.

3. Data is the Next Intel Inside

The observation that owning core data is crucial has become even more acute in the AI era. Training data, user behavior data, and domain-specific knowledge—these are the sources of competitive advantage today.

4. End of the Software Release Cycle

Releasing as a "perpetual beta," observing user behavior, and rapidly making corrections and additions—this mindset is kept alive in DevOps, CI/CD, and continuous learning for AI models (MLOps).

5. Lightweight Programming Models

"Keep systems loosely coupled," "focus on mediation," and "make it hackable and remixable"—the API economy, microservices, and modern AI API integrations (OpenAI API, Anthropic API, etc.) are direct extensions of this principle.

6. Software Above the Level of a Single Device

Utility beyond the PC—today, smartphones, wearables, automotive systems, voice assistants, and AI agents collaborate seamlessly across devices.

7. Rich User Experiences

The rich UI enabled by Ajax has evolved into React, Vue, and AI-driven conversational interfaces. Chatbots, voice interactions, and multimodal experiences—applications "no one has seen before" are diversifying even further thanks to AI.

1.8 Services Symbolizing Web 2.0 and Their Modern Successors

What became of the iconic Web 2.0 services of 2006 twenty years later? And what define the iconic services of today? Let us summarize both perspectives.

1.8.1 del.icio.us (and its lineage)

URL: https://del.icio.us/ (At the time) → Now discontinued

A social bookmarking service started as a personal project by Joshua Schachter in 2003. Social tagging, RSS feed delivery, and open APIs—it embodied Web 2.0 practices perfectly. It was acquired by Yahoo! in December 2005.

After several subsequent acquisitions and transfers, del.icio.us was acquired by Pinboard in 2017, and its original form has changed. However, the concepts of "user-driven classification," "trend visualization," and "API-based coordination" pioneered by social bookmarking live on in Pinterest, Raindrop.io, browser bookmark synchronization, and various bookmarking and "read later" services.

The 2026 Lineage: Pinterest, Notion Web Clipper, Raindrop.io, and browser-integrated "read later" features—the core concept of information curation and sharing continues to thrive under different names.

1.8.2 Flickr (and its lineage)

URL: https://www.flickr.com/

An online photo-sharing service launched by Ludicorp in Canada. Featuring social tagging, tag clouds, a lightweight interface built on DHTML and Flash, and a widely open API, it was acquired by Yahoo! in March 2005.

While Flickr remains active, the modern spotlight for photo sharing has shifted to Instagram, Google Photos, and TikTok. Nonetheless, its model of tagging, sharing, and API integration fundamentally influenced every modern image-handling service.

The 2026 Lineage: Instagram, Google Photos, Unsplash, and Midjourney or DALL-E (generative AI images)—image sharing and discovery are now deeply intertwined with AI generation, search, and recommendation systems.

1.8.3 Wikipedia (and its persistence)

URL: https://ja.wikipedia.org/

An online encyclopedia constructed on Wiki software as a flexible collaborative editing system. Operated by the non-profit Wikimedia Foundation and open to contributions from anyone, it stands as a monument to "user participation" and "open data."

In 2026, Wikipedia is available in over 200 languages and is continuously updated by volunteers worldwide. Large language models like ChatGPT rely heavily on Wikipedia as training data, meaning Wikipedia’s content indirectly shapes AI output. The failure of Nupedia (which relied on expert peer review) compared to the massive success of open collaborative editing on Wikipedia remains an excellent case study on the power of the architecture of participation.

Significance in 2026: Wikipedia proved that Web 2.0 philosophies could endure over decades. Even in the AI era, its role as a reliable, referable base of knowledge has only grown more critical.

1.8.4 Google Maps (and its expansion)

URL: https://maps.google.com/

Google's graphical map search service. When its API was opened in June 2005, it sparked a wave of remix and mashup services. It popularized the Web 2.0 business model showing that publishing high-quality, unique data yields a variety of rewards for the provider.

In 2026, Google Maps has evolved to offer advanced navigation, Street View, local business integrations, and real-time transit data, with its API remaining a developer staple. The concept of mapping mashups has expanded into location-based services (LBS), ride-hailing apps, delivery services, and augmented reality (AR).

The 2026 Lineage: Google Maps, Apple Maps, OpenStreetMap, Uber, DoorDash, and location-aware AI—the principle of open data and integration has expanded far beyond maps to encompass almost every domain.

1.8.5 Services Symbolizing Web3 (2026)

Where Web 2.0 was anchored in "participation" and "openness," Web3 is anchored in "ownership" and "decentralization."

- Ethereum, Polygon, Base: Blockchains that execute smart contracts, serving as the foundation for DeFi, NFTs, and DAOs.

- Uniswap, Aave: Decentralized finance (DeFi) platforms that enable trading and lending without central intermediaries.

- OpenSea, Blur: NFT marketplaces facilitating the ownership and secondary trading of digital assets.

- ENS (Ethereum Name Service): Human-readable decentralized domains, simplifying wallet addresses.

- IPFS, Arweave: Decentralized storage solutions ensuring content persistence and censorship resistance.

- Lens Protocol, Farcaster: Decentralized social graphs allowing for platform-independent identity and content control.

The Intersection of Web3 and Web 2.0: Web3 services can also be analyzed through the "data, users, services" framework. On-chain data, token holder communities, and services powered by smart contracts—the underlying mechanics of traction remain consistent even as the medium shifts.

1.9 The Context of Web 2.0 — Systems and Mindset

Next, we explore two hidden undercurrents—one systemic, one mental—that predated the flowering of Web 2.0. Understanding these provides deeper insight into the driving forces of Web 2.0. In 2026, these undercurrents have further expanded into open source, cloud infrastructure, DevOps, and the democratization of AI/ML.

1.9.1 Open Source and Web 2.0

Assisting with the implementation and customization of open-source CMS and blog tools like XOOPS, WordPress, and Nucleus became incredibly popular services for web professionals at the time. Open-source software (OSS) refers to software developed, distributed, and used under 60+ licensing models certified by the Open Source Initiative (OSI) based on "nine principles" (such as GPL, LGPL, MPL, and BSD). The core philosophy that "free" means "liberty" rather than "zero cost" remains vibrant in 2026.

Pioneered by figures like Richard Stallman and Eric S. Raymond (author of *The Cathedral and the Bazaar*), the bazaar-style development methodology—characterized by "release early, release often, delegate everything you can, and be open"—lives on in GitHub, open-weights AI models (such as Llama, Mistral, and Stable Diffusion), and initiatives advocating for open AI.

The 2026 Perspective: In the AI era, the open-source battleground has shifted from operating systems and web servers to AI models, datasets, and toolchains. The rise of Hugging Face, open-weights models, and open-data debates show that the questions surrounding openness continue to shape product and business designs. In Web3, open-source smart contracts (Uniswap, Aave, etc.), on-chain data transparency, and forkable protocols mean "open" simultaneously means "verifiable" and "open for participation."

1.9.2 LAMP and LAPP as Infrastructure

The combination of Linux, Apache, MySQL (or PostgreSQL), and PHP—collectively referred to as "LAMP" or "LAPP"—served as the lightweight development and operational environment essential for launching Web 2.0 services. Had these resources been proprietary, the barrier to releasing Web 2.0 services would have been vastly higher.

The 2026 Perspective: LAMP and LAPP have evolved into cloud ecosystems (AWS, GCP, Azure), containers (Docker, Kubernetes), serverless computing, and managed AI services. The commoditization of infrastructure has advanced further, shifting the focus from "building" to "combining" and "configuring." The open-source spirit continues to drive cloud-native stacks (Kubernetes, Prometheus, Terraform, etc.).

1.9.3 Ward Cunningham's Wiki

Conceived by Ward Cunningham, who built the first implementation (WikiWikiWeb), the Wiki was a small program characterized by simplified markup that allowed anyone to edit content directly from a web browser. This simple concept spread, ultimately paving the way for Wikipedia and symbolizing Web 2.0’s core tenets: "collective intelligence," "users as contributors," and "open content."

The 2026 Perspective: The Wiki format itself has evolved into platforms like Notion, Confluence, GitHub Wikis, and AI-integrated knowledge bases (internal FAQs, RAG systems). The spirit of "editable by anyone" and "simple markup" lives on in modern collaboration tools and conversational editing with AI.

1.9.4 The Mindset and Practices of "XP" Agile Methodology

XP (Extreme Programming) is an agile development methodology positioned at the opposite end of the spectrum from the traditional waterfall model. Emphasizing simple design, frequent releases in short iterations, and working software over documentation, XP aligned naturally with Web 2.0 requirements like "the end of the software release cycle" and "operations as a core competence."

The core values of XP—communication, simplicity, feedback, and courage (embracing change)—represented the exact mindset Web 2.0 service providers needed to adopt.

The 2026 Perspective: Agile, DevOps, CI/CD, and MLOps (continuous delivery of machine learning)—the practice of "releasing early and releasing often" now applies to the continuous improvement of AI models. In a fast-paced era, starting small, moving fast, and utilizing feedback remains the golden rule.

1.9.5 "The Cluetrain Manifesto" as a Pre-Web 2.0 Declaration

In 1999, Christopher Locke and three others posted "The Cluetrain Manifesto" on www.cluetrain.com. Initiated by the thesis "Markets are conversations," the manifesto laid out 95 distinct theses. It was a radical call declaring a fundamental shift in the relationship between corporations and consumers: moving from mass marketing to authentic conversations of human voice, and from broadcasting to active listening.

When Web 2.0 began to trend, many felt that the era foretold by Cluetrain had finally arrived. The manifesto is rightly positioned as a "Pre-Web 2.0 Declaration."

The 2026 Perspective: Social media, influencers, reviews, and word-of-mouth platforms have made "markets are conversations" an absolute reality. However, as automated AI responses, personalization, and generative content proliferate, parts of these "conversations" are shifting from human-to-human to human-to-AI. The Cluetrain principle of being an authentic enterprise that speaks in a human voice remains critical—perhaps even more so because AI now mediates so many of our interactions.

1.10 Learning the Web 2.0 Corporate Mindset from Cluetrain

Let us review several quotes from The Cluetrain Manifesto:

- "Hyperlinks subvert hierarchy."

- "In networked markets, people know more about products than companies do, and the news travels fast—good or bad."

- "Companies that assume online markets are the same as markets watching television commercials are kidding themselves."

- "Nobody is listening to corporate speak or aggressive sales pitches anymore."

- "Smart markets will identify and favor companies that speak in their own genuine voice."

- "To speak in a human voice, a company must share the concerns of its community. But first, it must belong to that community."

"Hyperlinks subvert hierarchy"—in Japan, corporate and government web policies that declared "no unauthorized linking" or "prior permission required to link" frequently caused public outcry. Web 2.0 popularized the logic that "permalinks are vital": without mentions, there is no success, and to be mentioned, one must be open.

The 2026 Perspective: Databases of links continue to evolve, even as modern AI search tools summarize and cite sources directly, somewhat shifting the nature of a simple "link." Nonetheless, the core imperatives—being open, being referable, and participating in the conversation—remain essential for building brand trust and community engagement.

1.11 "People" Connect Cluetrain and Web 2.0

The Cluetrain Manifesto generated massive online resonance, gathering thousands of digital signatures. Coincidentally, the Wiki for the Web 2.0 Conference 2005 carried the catchphrase: "Web 2.0 is Made of People!" These two movements run in perfect harmony.

Cluetrain successfully predicted that the core of Web 2.0 would be "unleashing the power of individuals," anticipating the subsequent explosion of CGM and the Blogosphere.

The 2026 Perspective: In the AI era, the role of "people" is shifting. AI now generates content and often serves as a conversational partner. Yet, the destination of all business remains "people," and the value of any product is ultimately decided by "people." AI is a tool; how it is used is determined by humans. "Web 2.0 is Made of People" remains a principle that must be kept at the heart of product and organizational design, even in the age of human-AI collaboration.

1.12 Why Web 2.0 Became a Massive Trend When It Did

1.12.1 Predicted by Cluetrain, Prepared by Open Source

The Cluetrain Manifesto warned that companies that hid behind hyperbole and ignored user voices would eventually perish. At the time, consumer-generated content was weak, and the powerful formats of blogs and CMSs had not yet been widely recognized. The explosive growth of CGM subsequently turned Locke's predictions into reality.

The open-source movement commoditized the suite of tools required to build Web 2.0 services through LAMP and LAPP. Combining open standards and open content with the spreading adoption of syndication technologies like RSS accelerated the emergence of "the Web as platform."

The 2026 Perspective: What open source prepared back then has expanded into cloud architectures, containers, and open-weights AI models. The conversational markets predicted by Cluetrain have manifested as influencer economics and social reviews. In the AI era, the next undercurrent lies in "open AI," "data democratization," and "designing human-AI collaboration." Web3 adds another layer with "data ownership," "token value distribution," and "community governance via DAOs," offering alternatives to centralized, walled platforms.

1.12.2 CGM and the Blogosphere Nurtured Web 2.0

The rise of CGM and the Blogosphere played a massive role in making Web 2.0 a cultural phenomenon. By circulating everything from highly valuable information to casual daily banter, the Blogosphere—aided by structured metadata like RSS feeds—allowed internet users to collectively realize that "the Web is evolving to the next generation," crossing the critical mass threshold.

The 2026 Perspective: The heart of the Blogosphere has migrated to X, Instagram, TikTok, and YouTube. Although RSS did not gain universal adoption among mainstream users, the structure of "users creating and circulating content" has only expanded. Today, with the help of AI assisting and generating content, we are in an era where CGM and AIGC (AI Generated Content) blend together. The "architecture of participation" that nurtured Web 2.0 is evolving into the "architecture of human-AI collaboration" in the AI era.

1.13 Verifying Criticisms of Web 2.0

Web 2.0 faced plenty of criticism. Here, we present a web professional’s pragmatic take on typical criticisms, looking back from our 2026 vantage point.

1.13.1 Web 2.0 FAQ-Style Q&A

"Web 2.0 is just a buzzword."

Twenty years of history have answered this. Folksonomies, APIs, UGC, and the long tail—the paradigms indicated by Web 2.0 have become fully established. Even if the term has faded, the core concepts remain very much alive.

"Web 2.0 has no business model."

This critique incorrectly conflated "startups claiming to be Web 2.0" with "Web 2.0 as next-generation infrastructure." Social media, video sharing, subscriptions, and modern digital advertising—the digital economy of today runs on direct extensions of the business models Web 2.0 foresaw.

"Web 2.0 is a bubble that will pop soon."

Circa 2005, there was talk of "Bubble 2.0." Yet, open APIs, remixes, mashups, Ajax, RSS, and social networks ultimately drove the Web forward, delivering immense utility to users. While there was bubble-like hype, the paradigm shift itself was highly real.

1.13.2 Nicholas Carr’s Criticism of Web 2.0

Nicholas Carr's famous critique, "Don't bring morals into Web 2.0," argued that the Web 2.0 world was overly utopian, ignoring the negative sides of "collective intelligence" and "user participation." He warned of "wielding amateurs while silencing professionals." Indeed, his point that professional intervention becomes necessary as platforms scale was highly valid.

The 2026 Perspective: In the AI era, similar critiques are aimed at "AI optimism." Celebrating AI utility without addressing misinformation, algorithmic bias, job displacements, and copyright concerns mirrors the caution raised in Carr's critique. Maintaining a pragmatic posture that weighs both benefits and risks remains essential for web professionals today.

1.14 Even If Web 2.0 Had Ended as a Buzzword

For web professionals, the ultimate question was: even if Web 2.0 proved to be a passing excitement, would the websites we build, manage, and plan—along with the end users using them—revert to previous states?

Twenty years later, the answer is a resounding no. There has been no regression.

1.14.1 Will the Blogosphere decline?

The prediction that it would continue growing as communications infrastructure was entirely correct. While the central hub moved to social media and video networks, the fundamental design of users creating and spreading content has only multiplied. Even though RSS did not become a household word, metadata exchange via APIs and webhooks continues unabated.

1.14.2 Will the long tail shrink?

The Blogosphere acted as a massive catalyst for the long tail and micro-economies in e-commerce. As the web accommodates increasingly diverse user tastes, long tail accommodation has accelerated rather than retreated, supported by subscriptions, micropayments, and niche services.

1.14.3 Will remix and mashup services disappear?

The number of business sites succeeding by earning user support via remixes and mashups has grown exponentially. The API economy, cloud integrations, and AI model endpoints mean "innovation through combination" remains incredibly potent in 2026.

1.14.4 Will users be satisfied with "Web 1.0" style services?

Once users tasted the delight of participation, collective intelligence, and smooth interfaces, they could never return to outdated, static models. This assessment was completely correct.

The 2026 Perspective: Today, users have become accustomed to conversing with AI, personalized experiences, and dynamically generated content. Simultaneously, there is growing demand for ownership through NFTs and tokens, and community governance via DAOs. Next-generation users will likely find any service lacking AI to be incomplete. Similarly, siloed data and heavy platform dependence will feel outdated. Therefore, we must continually adapt, upgrading our skill sets and mindsets as web professionals in the AI and Web3 eras, evolving right alongside our users.

Chapter 2: Business Site 2.0 — Preparing Corporate and Commercial Sites for Web 2.0 (2026 Edition)

In this chapter, we explore the potential of "Business Site 2.0." A Business Site 2.0 applies the success factors of Web 2.0 to realize next-generation business models for corporate and commercial websites. In the 2026 edition, we look back at the trajectory of giant internet companies of the time while demonstrating that the framework of "data," "users," and "services" remains highly effective in the AI era. We also look at Web3 to find intersections between decentralized business models—such as DeFi, NFTs, and DAOs—and traditional corporate web design.

2.1 A Framework for Thinking About Business Site 2.0

To chart a path for Business Site 2.0, we began by studying the adaptation strategies of the Web 1.0 giants of the era: GYM (Google, Yahoo!, Microsoft), Amazon, and eBay. We then utilized WSFinder.com’s classifications of Web 2.0 companies to analyze differentiation across three vectors: