The reskilling myth: why retraining won't save us from AI displacement
Corporate reskilling programmes have never worked at scale. The evidence is clear, the timelines impossible, and the honest conversation long overdue.
Corporate reskilling programmes have never worked at scale. The evidence is clear, the timelines impossible, and the honest conversation long overdue.
AI agents have rewritten the compute equation permanently. Ben Thompson argues this isn't a bubble — and your business strategy needs to catch up now.
By 2028, Gartner predicts 90% of B2B buying flows through AI agents. Your brand now needs a schema as much as a soul. Most marketers aren't ready yet.
Each nine of AI reliability costs as much work as the one before it. Most businesses are at 90%. The march to production-grade agents is brutal maths.
One in five companies have stopped hiring graduates because of AI. The real cost is a missing generation of leaders who never learnt the fundamentals.
Most businesses think their agentic AI is at level three. Most are at one. A five-level framework for honest self-assessment and practical next steps.
AI coding crossed a threshold in late 2025. This isn't a productivity tool — it's the most transformative shift since the compiler. Sceptics are late.
Forget workflows — AI agents run decision loops. Map where autonomous cycles belong inside your business, and you will outpace everyone else doing it.
85% of enterprises want agentic AI but 76% lack the operational foundation. Why process visibility matters more than model capability.
Most people use AI like a Ferrari in first gear. The literacy gap isn't about access — it's about understanding what these tools can do.