The AI share of enterprise tech budgets is set to rise sharply worldwide | Oxford Economics

Big companies are pouring billions into AI right now. And somehow that's supposed to make you feel better about what to do Monday morning.

It doesn't.

You've probably already tried something. Maybe a tool your team quietly stopped using. Maybe a consultant who handed you a roadmap and vanished. That's not a failure of judgment — that's what happens when the industry sells solutions before understanding your actual problem.

Here's what the Oxford Economics data actually tells us: AI spending is concentrated in finance, professional services, and knowledge-intensive work. Not because those industries are smarter. Because they started with one specific, repetitive task and proved it worked before spending more.

That's the part nobody mentions. The winners didn't buy a platform. They picked one bottleneck — proposals, follow-ups, scheduling, reporting — and fixed it first.

You don't need a strategy overhaul. You need to name the single task in your business that eats the most time and produces the least joy. That's your starting point. One problem, one tool, thirty days to prove it.

What's the one repetitive task your team would happily never do again?

#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation

Original Source

Spending is highly skewed toward knowledge-intensive sectors, with finance, professional services, and IT & programming each exceeding $40 billion in ...