The enforcement of the EU AI Act has been postponed to 2027, but companies are severely underprepared. At the same time, companies are gradually moving away from reliance on cutting-edge large models and shifting to more cost-effective models. This article analyzes the impact of this trend on the business models of the digital economy, platform competition, and the regulatory landscape.
Standard Chartered Equity Chief Investment Officer Sundeep Gantori noted that the AI investment theme is shifting from hardware infrastructure to services, platforms, and energy. In Asia, China focuses on "tools," India on electricity, and other regions on platforms. This shift will reshape the business models and competitive landscape of the global digital economy.
The European Commission preliminarily determined that Meta's auto-play, infinite scroll, and highly personalized recommendation features are addictive, violating the Digital Services Act. Meta may face fines of up to 6% of global annual revenue and will need to redesign the core user experience. This move is not just a regulatory action but signals a fundamental shift in the business model of digital platforms based on attention extraction.
Over 200 economists and researchers, including 15 Nobel laureates and experts from OpenAI, Anthropic, and Google, are jointly calling on governments and technology leaders to urgently formulate policies to address the economic impact of AI, warning that the speed of AI transformation may far surpass that of the Industrial Revolution.
The AI wave is forcing enterprises to reassess their data security strategies, spawning emerging markets such as DSPM and CNAPP, with a combined market size expected to exceed $48 billion by 2030. Regulatory pressures and the threat of quantum computing are jointly driving the transformation of data security from perimeter defense to full lifecycle governance.
Based on U.S. labor data, the technology and finance sectors are losing 28,000 jobs per month due to AI, analyzing the deep impact of AI on employment structure, business models, and the global digital economy.
Major companies in the field of artificial intelligence are strengthening their cooperation on model safety and evaluation standards. This trend is encouraged by regulators, but antitrust lawyers point out that such cooperation may limit independent decision-making and thereby suppress competition. From testing standards to access restrictions, every layer of the AI safety framework can become a market barrier, favoring existing giants while squeezing out startups and open-source developers. As policymakers continue to promote safety collaboration, the first antitrust case challenging AI safety arrangements will determine the future direction of regulation.
June 2026 marks the shift of AI governance from policy discussions to practical operations. This article analyzes key events such as the Anthropic/Alibaba distillation accusations, U.S. model access controls, and OpenAI's phased releases, revealing how model access has become the new geopolitical control point after chips, and how data, energy, and cybersecurity are reshaping the digital economy landscape.
RBC Capital Markets' latest CIO survey shows that enterprise AI spending is shifting from pilot projects to full-scale production, with OpenAI far ahead, no signs of a SaaS apocalypse, and hybrid pricing rapidly gaining traction, upending multiple mainstream AI narratives for 2026.
The U.S.-China technology competition is no longer confined to their home turfs but is spreading across global markets. Chinese companies are accelerating their overseas AI and cloud infrastructure deployments, while the U.S. is solidifying its technology ecosystem through policy alliances. This rivalry is reshaping the landscape of the digital economy.
Stanford economist Erik Brynjolfsson, in collaboration with ADP Research, analyzed salary data from 4.6 million U.S. workers, revealing the ongoing impact of generative AI on entry-level positions. The data shows that the employment rate of 22-25 year olds in high AI-exposure jobs has been declining at an average annual rate of 3.8%, while jobs with low AI exposure have grown by 2%. This trend has been widening since the launch of ChatGPT and cannot be explained by factors such as interest rates or excessive tech hiring. Brynjolfsson warns that AI is eliminating career "entry points," profoundly reshaping the structure of the labor market.
The Oxford Reuters Institute's 2026 Digital News Report shows that almost all online news growth comes from third-party platforms, with the 18-34 age group accelerating their shift to social media and video for news consumption. This trend has profound implications for platform business models, the advertising market, data value, and media regulation.
This article, based on Forbes expert analysis, explores how AI intensifies the geographic agglomeration of economic activities, creating a "winner-takes-all" megacity ecosystem, and analyzes how companies' choices between automation and augmentation strategies affect regional employment and business models.
The traditional FAANG combination is being replaced by MANGOS (Meta, Anthropic, Nvidia, Google, OpenAI, SpaceX). IPOs of AI and space companies will redefine the growth engines and business models of the digital economy.
Synergy Research pointed out that annualized revenue from global cloud infrastructure services surpassed $500 billion in the first quarter of 2026, and AI is reshaping the cloud market across the entire chain, from compute and platforms to SaaS. AWS, Microsoft, and Google continue to lead, but AI-driven new cloud vendors are rapidly changing the competitive landscape.
As AI enters the mainstream of enterprise procurement, consumer applications, and public discourse, brand trust is becoming a key variable affecting the speed of AI commercialization, user acceptance, and regulatory pressure.
The EU is preparing to issue a record fine under the Digital Markets Act over Google's self-preferencing behavior in search results. This is not only a regulatory penalty; it could also reshape the commercial logic of search entry points, traffic allocation, platform competition, and the digital advertising market.