Jersey weighs AI-driven 'synthetic workers' to lift output without swelling population
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India's workforce at risk without rapid skilling amid AI-driven change
India must generate roughly 8 million formal jobs per year through 2030 while rapidly scaling training to prevent rising inequality. Chief Economic Adviser V. Anantha Nageswaran warned at an AI summit that automation outpacing reskilling — coupled with concentrated AI infrastructure and early AI-driven layoffs — could blunt the country’s demographic advantage.
When AI Shrinks the Base: What the Threat to Entry-Level Work Means for Firms
Generative and process automation technologies are compressing the pool of routine, entry-level tasks that historically absorbed early-career hires, forcing firms to rethink hiring, training and organizational design. The speed of capability growth — and concentration of AI infrastructure spending among a few providers — raises the risk of a rapid labour-market shock that will demand both firm-level reskilling strategies and coordinated public policy on infrastructure, competition and transition finance.
US Tech Job Market in 2026: AI-Driven Disruption and New Opportunity
AI is reshaping hiring: it is compressing many entry-level, repeatable roles while creating strong demand for practitioners who can apply, secure, and govern AI in production environments. The labor-market effects are being amplified and unevenly distributed by concentrated infrastructure spending, shifting data‑center finance patterns, and an intense political fight over national AI rules that will shape where compute — and thus many new jobs — locate.

Altman’s High-Stakes Wager: OpenAI’s Trillion-Dollar Buildout, Hiring Pullback, and the Reality Check on AI-Driven Deflation
OpenAI is pressing ahead with an extraordinary infrastructure build while trimming hiring as cash outflows mount, betting that cheaper inference and broader automation will compress prices. Industry signals — from $1.5 trillion-plus global infrastructure spending to investor scrutiny and warnings about concentrated supplier power — complicate the path from capacity to economy‑wide deflation.

US economist: AI-driven investment is inflating consumption that wages don’t support
An economist argues that surges in AI capital spending have pushed consumer demand about $1 trillion higher than wage income alone would support, creating a vulnerability if investment-led demand reverses. Policymakers are experimenting with income-support pilots and urged to combine those measures with supply‑side reforms — public open infrastructure, competition rules and standards to reduce vendor lock‑in — to smooth any adjustment and limit distributional harm.

United States Confronts UBI as AI-Driven Labor Disruption Shapes Policy Debate
Policymakers and technologists are advancing experiments in guaranteed income as automation risk reshapes expectations about work and welfare. The central contention is whether cash stipends can address immediate hardship without altering who captures the economic gains from AI.
Study: AI Automation Threatens Female-Dominated Clerical Jobs, Risks Deepening Gender Gaps
A Brookings and Centre for the Governance of AI analysis using Lightcast labor-modeling finds routine administrative and clerical occupations—where women are heavily represented—are highly automatable, leaving more than six million workers with difficult reemployment prospects. The report warns that without targeted retraining, employer investment, and complementary policy measures (including attention to concentrated AI infrastructure), the disruption could widen existing gender and economic inequalities.

Federal Reserve Officials Say AI-Driven Productivity Could Lift the Neutral Rate
Senior Federal Reserve officials signaled that productivity gains from artificial intelligence may push the economy's neutral interest rate higher, reducing scope for rate cuts. That technical view contrasts with other policy voices — including a Fed nominee who argues AI could lower inflation and open room to ease — and with European officials who stress timing, redistribution and infrastructure constraints.