A recent study based on Chinese provincial data shows that the impact of artificial intelligence on the low-altitude economy is not linear, but rather exhibits an inverted U-shaped curve and spatial spillover effects. This article deconstructs this structural change from a global perspective and analyzes its deep implications for the international competitive landscape, regional development, and industrial policy.
Starting from multiple key events in the field of artificial intelligence in August 2026, this article analyzes how AI technology has evolved from an innovation competition into a deeper game involving global power, law, society, and climate.
A Pew Research Center expert survey shows that most experts have mixed feelings of anticipation and concern about digital life in 2035. This article analyzes the structural changes brought by digital technology over the next decade from three dimensions: knowledge encoding, algorithmic persuasion, and social governance.
Based on an expert survey by the Pew Research Center, this explores the structural impact of artificial intelligence on digital life by 2035, including the dual prospects of the democratization of knowledge and authoritarian surveillance.
How does a top Chinese economist understand AI's disruption of the labor market? Cai Fang's new book proposes that the overlap of demographic transition and technological revolution will determine the convergence or divergence of China and the global economy.
Over 200 economists and AI experts jointly issued an open letter, stating that AI may trigger economic changes more profound than the Industrial Revolution within a decade, bringing risks of large-scale unemployment, and calling for the establishment of a new institutional framework.
In June 2026, U.S. employment data fell short of expectations, with layoffs accelerating in the finance and information sectors, and artificial intelligence becoming the primary reason for job cuts. This marks the structural impact of AI on the labor market moving from theory to reality, though its long-term effects remain controversial.
As AI tools become more widespread, the U.S. labor market is forming a polarization: the gap between those who can harness AI and those who cannot will create a permanent underclass. This article explores this structural change and its far-reaching implications.
Philippines is at a crossroads of a human-machine hybrid economy: underemployment of young labor, rising aging pressure, and AI and automation technologies are both challenges and opportunities. This trend not only concerns the Philippines but also reflects the structural transformation of the global outsourcing industry.
The latest data from the Stanford Digital Economy Lab shows that generative AI is having a measurable impact on the employment of young workers, especially in routine task positions that can be automated. However, the resilience of experienced workers suggests that AI is not eliminating occupations, but rather accelerating the reorganization of skill value.
AI search engines are disrupting traditional SEO rules, and professional service firms are facing a visibility crisis; at the same time, although the IT service market is in the midst of a tech investment boom, it is experiencing a structural contraction because funds are flowing to AI infrastructure.
From the rewriting of Google’s search box, to ChatGPT changing the way users ask questions, to AI affecting social content and online shopping, the internet is shifting from a “network of links” to a “network of answers.” This is not just a product iteration, but a structural change in platform power, traffic distribution, and business models.