Strong jobs data complicates Warsh’s path to lower rates

2026-06-05 · Source: Semafor · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Cybersecurity & Data Privacy · Depth: Intermediate, extended

Summary

The AI sector is experiencing rapid, complex shifts, with Anthropic warning of recursive self-improvement as its Claude model now writes 80% of its code, and the US NSA reportedly using Anthropic's unreleased Mythos model for hacking. China's DeepSeek is nearing a \$7.4 billion funding round at a \$52 billion valuation, challenging Silicon Valley with lower-cost AI. This AI expansion is driving escalating data center energy demands, leading to proposals for breaking up the largest US electric grid operator and Google's "virtual power plant" initiative. Concurrently, a strong US May jobs report (172,000 added) complicates the Federal Reserve's rate policy, increasing hike odds, while the US-Iran conflict exacerbates global inflation and food insecurity. Geopolitically, Ukraine's Zelenskyy proposed direct talks with Putin, stating the starting point for negotiations would be "the front line today," and the Five Eyes alliance warned of China's AI-driven spy recruitment via social media.

Key takeaway

For technology executives navigating the AI landscape, you must prioritize robust AI safety frameworks and energy infrastructure planning. The rapid advancement of models like Claude, coupled with national security applications of tools like Mythos, necessitates proactive risk management and investment in sustainable power solutions to mitigate escalating energy demands and public opposition to data center expansion.

Key insights

The rapid, self-improving nature of AI models presents both economic opportunity and significant safety and security challenges.

Principles

• AI models are achieving recursive self-improvement.
• Geopolitical rivalries increasingly involve tech sovereignty.

Method

Google's "virtual power plant" deal involves financing a program to pay households and businesses to curb consumption, freeing up 100 megawatts for data centers.

In practice

• Implement AI safety protocols for advanced models.
• Diversify energy sources for data center growth.

Topics

• AI Governance
• Data Center Energy
• Geopolitical Rivalry
• Monetary Policy
• Cyber Espionage
• Frontier AI Models

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, Investor, Policy Maker

Related on AIssential

• Countries adapt to Iran energy shock — Global crises like energy shocks and geopolitical conflicts can drive unexpected adaptations and technological shifts.
• Oil prices rise, stocks fall over Hormuz deadlock — Rapid AI advancement and escalating geopolitical conflicts are simultaneously reshaping global security, economy, and societal structures.
• US wants Claude all to itself... because it's "TOO DANGEROUS" — Advanced AI models like Claude Mythos and GPT 5.5 pose dual-use risks, prompting government control and highlighting compute scarcity.
• The AI Infrastructure Divide — The global AI boom is creating a material and geopolitical divide, concentrating compute power and economic advantage in a few wealthy regions.
• Wall Street CEOs Summoned to Discuss Anthropic AI Risks — Anthropic's new AI model, Mythos, raises significant cyber risk concerns, prompting urgent government and industry meetings.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Semafor.