Headlines say MIT's new report that 95% of AI projects fail means AI is all hype

Headlines say MIT's new report that 95% of AI projects fail means AI is all hype. That misses the point.

AI isn't failing.

Their approach is.

Organizations treating AI like software fail.

Organizations treating AI like a service partner succeed.

Winners understand that AI needs to learn, remember, and evolve with their business.

Using AI isn't about buying or building tools, it's about ensuring you have capabilities that adapt.

Most employees (90%+) are already getting value from AI through personal ChatGPT/Claude/Gemini accounts.

Their internal tools?

Same adoption curve as that blockchain loyalty program no one remembers.

The divide isn't between companies using AI and those that aren't because _everybody_ is "using AI".

It's between companies with static tools where AI was bolted on vs. those investing in systems that learn from every interaction and adapt along the way.

We're not in the "trough of disillusionment", we're in the middle of a fundamental misunderstanding about what AI actually is.

It's not about software you install.

It's a capability that needs to grow with your organization.

The window to get this right is closing.

In 18 months, the winners will have locked in learning systems with compound advantages.

The losers will still be duct-taping workflows around tools that never learn.

It's no longer "Should we use AI?"

Start asking "Is our AI learning from us?"

The revolution isn't coming.

It's here.

You're just looking in the wrong place.