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AI is rapidly reshaping economies and society—from massive memory fabrication and firms rebranding to changed workplaces, relationships, and politics. Simultaneously it creates risks: income and power imbalances, cognitive/semantic erosion, authoritarian misuse, and organizational fragility, demanding coordinated technical, legal, and cultural responses.

• WSJ: Micron Is Spending $200 Billion to Break the AI Memory Bottleneck (Feb. 16, 2026)
  Micron is spending billions to build giant DRAM and HBM fabs in Boise, New York, and overseas, aiming for first Boise wafers by mid-2027, full production by end-2028. AI-driven demand has sparked a memory shortage, and profits have surged.
• NY Times: Software? No Way. We’re an A.I. Company Now! (Feb. 14, 2026)
  Software companies are rushing to rebrand as AI firms, fearing disruption from powerful new models. Investors, startups, and public markets are reassessing valuations, business models, and what counts as AI-driven software.
• NY Times: How A.I. Salaries Are Causing Couples to Rethink Money in Relationships (Feb. 14, 2026)
  The A.I. boom is creating sudden fortunes, widening income gaps, and changing how couples split expenses and approach prenups. Many tech workers seek prenups to guard against volatile equity, potential IPO windfalls, and uncertain futures.
• The Register: Semantic ablation: Why AI writing is boring and dangerous (Feb. 16, 2026)
  Semantic ablation is AI-driven erosion of rare, precise language, where refinement and RLHF (Reinforcement Learning from Human Feedback) replace vivid metaphors, technical terms, and complex structure with bland, high-probability phrasing.
• NY Times Opinion: He Studied Cognitive Science at Stanford. Then He Wrote a Startling Play About A.I. Authoritarianism. (Feb. 16, 2026)
  Data, an Off-Broadway play about a programmer drawn into a secret A.I. project to win an immigration-surveillance contract, reveals tech’s slick reasons for tools that enable authoritarian control.
• Simon Willison: How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt (Feb. 15, 2026)
  Generative, agentic AI shifts problems from technical debt to cognitive debt, where teams lose shared knowledge, control, and confidence. When generated code isn’t reviewed, projects become hard to change, and decisions grow uncertain.
• NY Times Opinion: We’re All in a Throuple With A.I. (Feb. 13, 2026)
  AI companions are becoming widespread, with developers privately uneasy about creating simulated emotional intimacy that can hook users, extract money, and harm relationships, especially for teens. 
• NY Times: What C.E.O.s Are Worried About (Feb. 15, 2026)
  CEOs worry about fractured politics, trade shifts, and rebuilding trust, while weighing when to speak publicly. They balance A.I.’s opportunities and job risks.
• NY Times Opinion: How Fast Can A.I. Change the Workplace? (Feb. 14, 2026)
  A.I. can quickly replace many white‑collar jobs, but contractual, social, legal, and organizational frictions may slow mass layoffs. People’s love of human contact, and A.I.’s humanlike persona, will shape whether new roles emerge or simulated agents reshape work and agency.
• Transformer: The left is missing out on AI (Feb. 16, 2026)
  Many on the left have dismissed AI as mere “autocomplete,” treating it with scorn, mockery, or indifference, and seeing investment as a capitalist con. That view overlooks scale, new training methods, and growing real-world impacts, risking a costly political abdication.
• Alex Tabarrok: Natural and Artificial Ice – Marginal REVOLUTION (Feb. 15, 2026)
  The 19th-century ice trade, led by Frederic Tudor, created a global cold chain, reshaping shipping, diet, and cities by enabling long-distance transport of fresh food. Profits spurred artificial ice, provoking resistance framed as moral objection.
• Simon Willison: Launching Interop 2026 (Feb. 15, 2026)
  Interop 2026 unites Apple, Google, Igalia, Microsoft, and Mozilla to bring targeted web features to cross-browser parity this year. 

AI is rapidly automating cognitive work, threatening SaaS business models, white‑collar jobs, and software valuations.

• Noah Smith: The Fall of the Nerds – by Noah Smith (Feb. 5, 2026)
  Software stocks plunged on fears AI will obsolete SaaS business models. ‘Vibe coding’ tools let novices build software, threatening engineers’ roles, livelihoods, and industry structures.
• OpenAI: Introducing OpenAI Frontier | OpenAI (Feb. 3, 2026)
  OpenAI’s Frontier helps enterprises build, deploy, and manage AI coworkers by giving agents shared context, tools, feedback, and clear permissions. It integrates existing systems, supports governance, and speeds production use.
• WSJ: The AI Stock Market Rout (Feb. 3, 2026)
  Anthropic launched an AI tool that automates legal work, prompting a broad selloff in software stocks. Investors fear AI could replace legal, financial, and auditing services, disrupting many B2B firms.
• Ben Thompson: Microsoft and Software Survival (Feb. 3, 2026)
  Anthropic launched an AI tool that automates legal work, prompting a broad selloff in software stocks. Investors fear AI could replace legal, financial, and auditing services, disrupting many B2B firms.
• The Atlantic: How Soon Will AI Take Your Job? (Feb. 10, 2026)
  The BLS began counting to reveal conditions, wages, and hours, and its data helped stabilize society. Generative AI is already automating many cognitive tasks—drafting, analysis, coding, creative work—creating large productivity gains and raising the plausibility of significant white‑collar displacement. But the central danger is timing: if AI drives a rapid reorganization of work (compressing years of change into months), the economic and political fallout could be severe and harder to manage than gradual adjustment.
• TechCrunch: Intel will start making GPUs, a market dominated by Nvidia  (Feb. 3, 2026)
  Intel will start producing GPUs, hire experienced leaders, and expand beyond CPUs aiming to challenge Nvidia’s dominance.