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.