AI Isn't Destroying Jobs. AI Spending Is.
73,000 tech jobs were cut in Q1 2026 for AI that doesn't work. 55% of employers already regret it. The problem isn't AI. It's the spending.
73,000 tech jobs were cut in Q1 2026 for AI that doesn't work. 55% of employers already regret it. The problem isn't AI. It's the spending.
Anthropic is tightening the screws on the people who made Claude successful. That is the preview of what enterprises should expect. Here is what the alternatives look like.
77% of employees fear AI will take their jobs. 68% want their employer to adopt more AI. The gap isn't training — it's that nobody has told them what their new role actually is.
Employees are 3x more likely to use GenAI than their leaders expect. The tools have diffused faster than the operating model has adapted. Here's why people — not technology — are the biggest AI bottleneck.
40% of enterprise apps will have AI agents by end of 2026. Most organisations have no governance model for them. Here's the Agentic Constitution framework — five components every organisation needs before deploying autonomous AI.
AI tools were supposed to give us time back. Instead, expectations rose, work expanded, and employees became always-on. The fix is not better tools -- it is human system design.
Most enterprise agent programmes stall not because the models underperform, but because nobody trusts them enough to let them operate. Trust is a systems engineering problem, not a training problem.