The Pace of Change

The speed of AI development is genuinely unprecedented in technology. Capabilities that seemed years away arrive in months. Models that were state-of-the-art become outdated in weeks. Products that launched to great fanfare get overtaken by competitors before they've finished onboarding their first customers. This pace creates real challenges for organisations trying to adopt AI strategically. Committing to a specific tool or approach carries the risk of it becoming obsolete before you've finished implementing it. Waiting for things to stabilise means falling behind competitors who are already experimenting. The practical approach is to invest in flexibility: build systems that can swap underlying AI models, develop internal expertise that transcends any single tool and run structured experiments rather than making big bets on specific technologies. Accept that some investments won't pay off, and that's the cost of staying current. The pace will likely slow at some point - it always does - but there's no sign of that happening yet, and planning as if things will stay this fast for at least the next few years is the safer bet.