Getting AI right requires more than a technology shift - it requires a mindset shift
THE SO WHAT
The governance point is right but abstract—what matters is who owns AI risk and change management in your org chart. If AI is still parked under 'innovation' instead of tied to specific P&L and control owners, you’re not set up for durable adoption.
READ THE SOURCE
MORE FROM THE WIRE
Applied AILaunching a business in 2026? Use these 7 AI tools
The default playbook for new businesses now bakes in a stack of AI tools from day one—founders are designing operations around automation, not adding it later. If you’re an incumbent, assume your next wave of competitors will have structurally lower overhead and faster experimentation cycles.
Applied AIThe AI cloud math is broken, and it’s creating a power shift within Big Tech
When buying AI hardware outright beats renting cloud AI, the balance of power shifts toward whoever controls capex, power, and datacenter buildout—not just API endpoints. If you’re a heavy AI user, you should be running TCO models on reserved cloud, managed neocloud, and owned clusters rather than assuming hyperscaler on-demand is default.
Applied AIMatt Clifford's move to Anthropic draws criticism: 'Not cool'
When a high-profile public AI advisor joins a frontier lab, the line between 'independent governance' and 'industry-aligned governance' gets blurrier. If your risk posture leans on external councils or public bodies, track who’s actually sitting in the room and how their incentives are shifting.
Applied AI‘I find it very uncomfortable’: Sam Altman explains why he doesn’t like talking to people wearing camera-equipped smart glasses — and it could be a big clue about Jony Ive’s AI device
If even the people building AI are uneasy around camera-first wearables, the next hardware wave will likely bias toward low-friction, low-creepiness form factors. For teams betting on ambient AI, design for social acceptability and clear capture cues, not just capability.