Alexis Ohanian tells CNBC the tech industry has been tone deaf on AI
THE SO WHAT
When founders like Ohanian say AI risks are “more banal” but communication has been tone deaf, they’re flagging a trust gap, not dismissing risk. If AI is core to your product, you need a public narrative that addresses everyday harms—jobs, data, reliability—rather than only existential debates.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIHuang Says AI Firms Should Be 'More Rigorous in Testing'
When the leading AI chip supplier calls for contained test labs and stricter pre-release gates, it’s a nudge toward pharma-style validation norms. Expect investors and regulators to start asking what your AI “testing lab” looks like, not just your model card.
Applied AIWho Made the Guest List for King Charles III’s AI Summit
A monarch convening 30 AI executives, policymakers, and ethicists is less about symbolism and more about who gets informal agenda-setting power. Track who’s in the room—those networks will quietly shape the next wave of AI norms and soft law.
Applied AIMicrosoft AI CEO says AI threats are real, and Anthropic is making it worse
When Microsoft’s AI chief publicly frames another lab as escalating risk, AI safety has clearly moved into competitive positioning as well as governance. Expect sharper divergence in how vendors talk about—and productize—safety, and bake those differences into your vendor due diligence.
Applied AIAI is feared globally as the destroyer of jobs
A Pew survey of 42,151 people across 37 countries finding majority fear of AI’s job impact means social license is now a real constraint, not a theoretical one. If your AI roadmap touches frontline roles, plan for comms and retraining as core workstreams, not afterthoughts.