Canada implemented a near-universal basic income via CERB in 2020, proving it possible but ending the program. The pattern reveals cautious progress in social safety nets.
Canada: The Proof It Didn’t Keep
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Ethics & Society
148 posts
The United Kingdom: The Pragmatist’s Hedge
Analysis of the UK’s post-Brexit policy mix: moderate welfare, flexible labor, light AI regulation, and cautious economic strategies.
The Nordics: Protect the Worker, Not the Job
Exploring how Nordic countries prioritize worker security over job preservation, fostering innovation and social resilience amid automation.
Stenvrik: News as Geography
Stenvrik introduces a new news platform organizing stories by location on a 3D globe, aiming to reshape news consumption and trend detection.
Fable and Mythos: How Anthropic Shipped Its Most Powerful Model to Everyone
Anthropic launched Claude Fable 5, the most capable model, with Mythos 5 restricted for trusted partners, highlighting new safety and deployment strategies.
The European Union: Rules First, Cushion Always
The EU prioritizes regulation and social protections over ownership in its response to AI and labor shifts, shaping a unique model for economic transition.
Five Levers, Many Hands
An analysis of how different countries respond to AI-driven labor shifts using five key policy tools, amid ongoing uncertainty about the future of work.
The labor share. Is value really moving from labor to capital? The data isn’t on anyone’s side yet.
Examining whether AI is shifting value from labor to capital, with data showing stable aggregate labor share but rising marginal displacement signals.
Technology Is Never Neutral: Pope Leo XIV’s AI Encyclical, and the Empty Chairs in the Room
Pope Leo XIV’s first encyclical on AI emphasizes technology’s non-neutral nature and criticizes AI industry ethics, with Anthropic represented at the Vatican event.
The Frameworks Can’t See the Thing That Matters: A Year of AI-Enabled Cyber Threats
New analysis shows AI is making cyber attackers more dangerous and harder to identify, challenging existing threat assessment models in 2026.
