The 93/7 problem: why AI maturity is a people story, not a technology story
93% of AI spend lands on infrastructure, 7% on people. Why the unphotogenic work of retraining people around AI is where the real value actually sits.
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93% of AI spend lands on infrastructure, 7% on people. Why the unphotogenic work of retraining people around AI is where the real value actually sits.
Nearly 80,000 tech jobs cut in Q1 2026, half blamed on AI. Even OpenAI's CEO calls it AI-washing. A simple test separates theatre from transformation.
Walmart's ChatGPT checkout converted three times worse than its own website. The Sparky pivot reveals a fundamental truth about who controls commerce.
Amazon cut 14,000 jobs citing AI, then Pinterest and HP. The real squeeze lands on middle management, not entry level — and on the trust trap beneath.
Bezos is raising $100 billion to buy manufacturers and rebuild them with AI. Why industrial AI, not chatbots, is the smart money bet in 2026.
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.
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.
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.