Topics

  • Access to top AI models

    Who gets to use the most capable AI models: government reviews before release, export rules and bans, safety laws, and labs that hold back their top models.

  • AI agent security

    Harm that comes in through AI agents and AI tools, like prompt injection, poisoned plugins, fake AI tools and agents that go beyond what they were allowed, and the fixes for it.

  • AI and jobs

    How AI affects jobs and hiring: layoffs and hiring slowdowns that firms link to AI, fewer entry-level jobs, worker pushback, retraining, and the job data that tests these claims.

  • AI and software flaws

    AI used to find or exploit weak spots in ordinary software and systems, AI used by defenders, and the patching work that follows.

  • AI power and chips

    The physical limits on the AI build-out: electricity, grid connections, water, land, chips and memory, pushback from local communities, and costs passed on to others.

  • AI prices and spending

    What organizations and people pay to use AI: model and plan prices, usage limits, usage-based billing, spend caps and company AI budgets.

  • AI results at work

    The results of AI at work inside organizations, such as time saved, output, quality and cost per result, from company reports and wider studies.

  • Robots and autonomous vehicles

    AI that acts in the physical world, like robots, robotaxis and delivery drones, with their rollouts, safety records and the rules that allow or block them.

  • Trust in AI-made work

    AI-made content that is wrong, fake or passed off as human work, the checks that catch it or wrongly flag human work, and the labels and watermarks meant to mark it.