AI Articles
Can AI really transform global healthcare systems?By The #sharp Team • June 13, 2026
AI promises to rescue healthcare — hand clinicians their time back, catch disease earlier, widen access. Separating what AI is already doing from what is still a forecast, and the data, bias and governance risks that decide whether a healthcare AI project lasts.
Your phone's two biggest rivals just teamed up — and transformation teams should be paying attentionBy The #sharp Team • June 9, 2026
On 8 June Apple unveiled the next Apple Intelligence — built in collaboration with Google and its Gemini models. Three strategic decisions every transformation leader is about to face: buy the engine, own the experience, and design privacy in from the start.
AI Strategy Implementation GuideBy Loreen • May 26, 2026
AI capability is massively increasing, yet implementation lags behind. Read our phased, outcome-led guide to moving from board-level ambition to embedded operational change, across discovery, data readiness, pilot design, scale, and measurement.
Capability Is Outpacing Reliability: Reading the Latest Stanford AI IndexBy Loreen • May 23, 2026
The latest Stanford AI Index shows AI capability accelerating far faster than reliability, governance, or human readiness — and what that means for businesses moving from experimentation to dependable, governed deployment.
Three rules for shipping AI features without losing trustBy Loreen • May 20, 2026
A field note on the smallest set of guardrails that keep AI-assisted features useful, honest, and accountable.
The OpenClaw Paradox: Hype in China, Caution in Policy and What It Means for AI GovernanceBy #sharp Security Expert • May 15, 2026
China is not rejecting AI agents, but its OpenClaw guidance treats them as high-risk operational systems. What the policy signal means for agentic AI governance.