AI Bubble Burst
THE SO WHAT
Claims that the “AI bubble has burst” off a few earnings prints mostly reflect public-market repricing of expectations, not a collapse in deployment. Operators should treat this as a chance to secure better terms on infra and tools — and to prioritize projects with clear unit economics over narrative-driven bets.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIThe accountability gap behind one of AI's biggest risks
When AI turns stale or wrong web content into live customer output, the liability chain is murky by design. Enterprises deploying generative interfaces need explicit ownership for content freshness and redress, not just model governance, or they’re baking in a slow reputational leak.
Applied AIPope Leo calls for the disarmament of AI: ‘Machines are tools, not persons’
A sitting Pope urging UN member states to ban lethal autonomous weapons elevates AI arms control from think-tank debate to mainstream moral agenda. Defense and dual-use AI builders should assume more scrutiny, potential treaty constraints, and reputational risk around autonomy in targeting and engagement.
Applied AICounting agents is the wrong scoreboard: Better questions for enterprise leaders
The organizations getting value from AI are optimizing for solved workflows, not agent counts. If your internal dashboards brag about "number of agents" rather than cycle time, error rates, or revenue impact, you’re measuring the theater, not the performance.
Applied AIAstraZeneca CFO on AI, Earnings, Restructuring Plan
AstraZeneca’s CFO saying they use AI in “almost every aspect” of their work signals that, in pharma, AI is moving from pilot to fabric — across R&D, operations, and dealmaking. Healthcare and life sciences vendors that can’t plug into that AI-heavy workflow will find procurement doors closing faster.