AI works best when it’s used like a knife, not a miracle.

AI is starting to look a lot like digital transformation all over again.
Big promises, huge investment, hundreds of pilots. Very little impact.

And I think the problem is surprisingly simple:
Most companies misunderstand what AI actually is.

They treat it like magic when it behaves more like a tool.

I see three mindsets:
🪄 The magic wand
“AI will solve it.”

This is the hope driven approach.
Buy the platform, hire consultants, announce the transformation.

Expect productivity to appear.

According to BCG’s Widening AI Value Gap report, this is still how 60% of laggards think about AI.
Their EBIT impact? Close to zero.

🔧 The swiss army knife
“AI can help everywhere.”

This sounds smarter, but often fails the same way.
Teams launch chatbot pilots, document summarisation, forecasting, copilots, knowledge search, automate existing workflows.

Everything at once.

BCG found non leaders pursue an average of 6.1 use cases simultaneously and generate around 50% lower ROI than focused leaders.
Because scattered effort creates scattered outcomes.

🔪 The targeted knife
This is where value finally appears.

Leaders narrow the focus.
They choose 2 or 3 important problems and they choose the right AI capability for each one.

Then they redesign workflows around it and measure outcomes relentlessly.

BCG says these organisations average 3.5 use cases and achieve 2.1x ROI.

That is a focus story.
AI can do a lot, but choosing to solve a few things extremely well will get the value flowing.

♻️ Repost to help someone focus their AI ambitions.
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