Two national champions, one outcome that made the difference: why Naver weathered the AI era and Baidu did not
A comparative analysis of two national search engines — Korea's Naver and China's Baidu — in the AI era. The author argues that Naver's success (62.86% of the Korean market, +12.1% YoY) versus Baidu's decline (falling revenue in every quarter of 2025, loss of state support after the February 2025 symposium) is largely structural (geopolitics, competition, ecosystem) and only partly executional (Ernie Bot's flawed pricing, the absence of a fintech flywheel).
Why Google Can't Find Everything for You — and Why It's Not Google's Fault
The article connects Gödel's 1931 incompleteness theorems with the fundamental limits of internet search engines, showing that no finite set of rules can fully capture reality, which itself has no axioms. The author compares three approaches to search — lexical (word matching), semantic (closeness of meaning), and search over structured data — and explains why each necessarily overlooks something relevant, not because of an implementation flaw, but because of the nature of any rule-based system. The conclusion: combining the approaches narrows the limits considerably but does not remove them, because no finite description can fully encompass what it describes.
Why No Schema Can Describe the Whole World — and What It Means for Search
The article builds on the earlier thesis that reality is relational and that a properly constructed relational model is consistent and infinitely extensible, and it reveals the other side of that claim: the model is extensible precisely because it is incomplete — and incompleteness is not a defect but the price of consistency, which the author supports with three independent arguments (Gödelian, cardinality-based, and Kolmogorovian). From this he draws consequences for the architecture of information systems and for the shift from deduction to induction: whereas in the closed world of finite domains the deductive querying of the relational model works, the open world of the internet demands induction — full-text, vectors, and language models are not a primitive substitute for an elegant SQL query, but a necessary tool for understanding a world deeper than any finite schema.
The Internet Is Splitting Into Two Worlds. What Does It Mean for Search?
The Internet is structurally splitting into two worlds – a volume world (dominated by video) and a transactional one (API calls and bots). Traditional search engines are losing their role as intermediaries, because 58.5% of Google queries end without a click, while conversational AI assistants like ChatGPT do not replace search but expand the overall market with new types of queries. The article analyzes the impact on different types of search – navigational and local queries remain Google's domain, while informational and creative queries are shifting to AI.
Yandex Transformed Its Search Engine into an AI-Powered Ecosystem
Over two years, Yandex transformed from a classic search engine into a comprehensive AI-powered ecosystem, with its own YandexGPT language model (six generations), the Neuro product handling 20% of queries, and 43 million subscribers to the Yandex Plus service. The company chose a hybrid approach — AI answers above traditional results rather than replacing the search engine — thereby preserving its advertising model and reducing hallucinations thanks to its own web index covering 130 billion pages. Total revenue in 2024 reached 1,095 billion rubles (+37%), with the long-term monetization of AI answers remaining the key question.
Naver rebuilt search: AI orchestrates the results page, ads no longer make up even 37% of revenue
Naver, South Korea's dominant search engine, has rebuilt its search around a modular Smart Blocks system orchestrated by AI (AiRSearch, AI Briefing, CUE:), where each user sees a personalized results page instead of the classic list of links. Advertising's share of revenue fell from 63% to 37% thanks to diversification into e-commerce, fintech, and cloud, while AI monetization is primarily indirect — the ADVoost tool raises the click-through rate by 40% and contributes to 55% growth in advertising revenue.
British search engine Mojeek defies Google and artificial intelligence for twenty years
Mojeek, a British search engine founded in 2004 by a single developer from Brighton, is the only one in the world to combine its own index of nine billion pages, zero user tracking, and a refusal to replace results with generative-AI answers. With a team of three to six people and total funding of under four million dollars over twenty years, it represents a unique alternative to Google and Bing, while its search API is becoming a valuable source of independent web data for artificial-intelligence companies.
Sixty Percent of Queries Without an Answer: How AI Is Changing the Economics of Search
More than 60% of Google searches end without a click — the user gets the answer directly on the results page. With the rollout of AI Overviews, organic click-through has fallen by 61%, and Gartner predicts a 50% decline in organic traffic from search engines by 2028. The article analyzes how AI is redistributing value away from publishers toward platforms, and what alternatives (Kagi, Brave, DuckDuckGo) are emerging.