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Tech and Democracy

Technology for the good

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Five Reasons AI Regulation Is Coming To The US, How And When

AI Regulation shifts from debate to enforcement as cyber incidents and U.S. politics push frontier labs toward trust-building oversight amid rising 2026 pressure.

You Outsourced the AI—but You Still Own the Risk

Enterprises increasingly deploy AI systems they did not build, yet courts and regulators are holding them responsible.

Connect Education To Jobs And Create An AI Workforce Transition Plan

An AI workforce transition needs more than retraining. P-TECH shows how education, employers and credentials can connect workers to jobs reshaped by AI.

How Anthropic, OpenAI, The Vatican And Congress Want To Govern AI

Anthropic, OpenAI, the Vatican and Congress all agree AI needs guardrails—but they disagree on what should be protected first, from catastrophic risk to human dignity and U.S. competitiveness.

Making Sense Of The AI IPO Tsunami Heading For Wall Street

The AI IPO wave will test whether OpenAI, Anthropic and SpaceX can turn private-market valuations into public-market trust and durable investor demand.

Trump's AI Evaluations Order: Right Policy, Unfinished Governance

Trump’s AI evaluation order advances national security testing but raises concerns over secrecy, industry access and public accountability.

OpenAI And Anthropic Are Testing Two Very Different AI Business Models

AI profitability favors enterprise over consumer scale. Anthropic reaches profit as OpenAI plans IPO. Which model wins with public market investors and why it matters.

Build Modern Tech Policy By Hiring The Students Who Already Understand It

Hire the next generation of modern tech policy talent now. Students already understand AI, law, governance and the skills institutions urgently need.

AI, Democracy And The Politics Of The Kitchen Table

AI is becoming a kitchen table issue as data centers, electricity bills, jobs, privacy, children and democracy collide before the 2026 midterms.

Pre-Deployment AI Evaluation Moves From China’s Model To Washington

Washington’s new pre-deployment AI evaluation push echoes China’s model and exposes why Congress needs stable, bipartisan AI policy.

When Federal Agencies Pick AI Vendors, They Are Buying Different Policy Interpretations

Harvard Kennedy School research shows how AI can analyze AI policy and why different models may interpret the same policy in different ways.

Five Reasons Anthropic Kept Its Cybersecurity Breakthrough Invite-Only

Anthropic’s invite-only rollout of Project Glasswing shows how frontier AI is becoming a premium enterprise product, shaped by scarcity, safety and market strategy.

National Policy Framework Turns AI Preemption Into A 2026 Political Test

Trump’s AI framework pushes federal preemption to the center of U.S. AI policy, setting up a 2026 fight over state power, accountability and national standards.

AI Leadership Faces Its Defining Test As Anthropic Takes The Pentagon To Court

Anthropic sues the Pentagon while OpenAI signs a deal. What two CEOs' contrasting choices reveal about AI leadership, market value, and ethical risk.

The Conscience Clause

The Anthropic-Pentagon standoff exposed a dangerous vacuum: AI is reshaping national security, but no law governs how. Who decides, and who should?

Mass-surveillance is a reality in the U.S.

What five different Chatbots, three American and two Chinese, tell us?

Should AI Go To War? Anthropic And The Pentagon Fight It Out

Explore the clash between Anthropic and the Pentagon over military AI. Learn how debates on ethical guardrails and autonomous weapons shape the future of global warfare.

The Problem With Tech's Latest “Something Big Is Happening” Manifesto

A critical take on Matt Shumer’s viral AI manifesto, examining labor market disruption, hype cycles and the real path to responsible AI adoption.

Should The U.S. Risk Its AI Edge By Letting Nvidia Sell Chips To China?

A clear-eyed look at export controls, national security, innovation and America’s long-term AI leadership.

AI In 2026: The Year AI Meets Enterprise And Politics

AI in 2026 faces limits to scaling, new innovation beyond large models, rising enterprise adoption and mounting pressure on Congress to regulate.