Anthropic presents data suggesting AI can increasingly automate AI research tasks, raising the possibility of recursive self-improvement, though key gaps remain.
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Alphabet has its worst day in over a year on AI concerns after high-profile exits
Alphabet’s stock drops over 5% after high-profile AI researcher exits and mounting concerns over AI competitiveness and market stability.
The running list: major tech layoffs in 2026 where employers cited AI
Throughout 2026, leading tech companies have announced large-scale layoffs citing AI-driven restructuring, raising questions about AI’s role in employment shifts.
The labor share. Is value really moving from labor to capital? The data isn’t on anyone’s side yet.
Assessing whether value is shifting from labor to capital amid AI advances remains unresolved, with data showing stable overall share but signs of displacement at the margins.
The bridge. Why the AI buildout runs on a nuclear story and a gas reality.
Analysis of the gap between AI data center power needs, nuclear procurement, and the current reliance on natural gas infrastructure.
Review response quality coach for local service businesses
A new review response quality coach for local service businesses is being tested to improve reply consistency, professionalism, and compliance.
The stake. Why the answer to automation is broad-based ownership, not a bigger transfer.
Experts argue that expanding ownership of capital, not increasing transfers, is key to addressing automation’s impact on labor and income distribution.
The prospectus. Where the AI labs’ singular governance history meets the auditor.
OpenAI plans to file confidentially with the SEC, exposing its complex governance structure and risks ahead of the largest tech IPO in history.
Understanding Anthropic’s $965B Series H: The Compute Revolution
Anthropic’s latest funding round signals a major shift toward infrastructure investment, with $965 billion focused on hardware capacity to scale AI models like Claude.
The policy menu. There’s no single answer. There’s a menu — and choosing is a values choice in disguise.
Analyzing the diverse policy options for addressing AI-driven labor changes, emphasizing values and uncertainty over single solutions.