๐˜๐จ๐ฎ ๐›๐จ๐ฎ๐ ๐ก๐ญ ๐ญ๐ก๐ž ๐€๐ˆ. ๐˜๐จ๐ฎ ๐๐ข๐๐งโ€™๐ญ ๐›๐ฎ๐ฒ ๐ญ๐ก๐ž ๐œ๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ฒ.

9/29/20261 min read

Your AI plan did not fail.

It failed to win over the person who could have made it work.

I see the same scene in retail training rooms.

An AI-generated plan arrives. The training manager reads it.

โ€œThatโ€™s not how we do things here.โ€
โ€œThatโ€™s not my experience.โ€

The plan gets tested. Half-heartedly.

The verdict comes back: โ€œAI doesnโ€™t work for us.โ€

Everyone returns to safety.

Itโ€™s tempting to blame the manager.

Donโ€™t.

Theyโ€™re not the problem. Theyโ€™re the missing piece.

We asked them to execute somebody elseโ€™s AI plan instead of helping build it.

Thatโ€™s the mistake.

Your competitors can access increasingly similar models.

๐’๐จ ๐ญ๐ก๐ž ๐œ๐จ๐ฆ๐ฉ๐ž๐ญ๐ข๐ญ๐ข๐ฏ๐ž ๐š๐๐ฏ๐š๐ง๐ญ๐š๐ ๐ž ๐ข๐ฌ๐งโ€™๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐ญ๐ก๐ž ๐ข๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž ๐ฒ๐จ๐ฎ ๐ซ๐ž๐ง๐ญ.

๐ˆ๐ญโ€™๐ฌ ๐ฐ๐ก๐š๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐จ๐ซ๐ ๐š๐ง๐ข๐ฌ๐š๐ญ๐ข๐จ๐ง ๐š๐๐๐ฌ ๐ญ๐จ ๐ข๐ญ.

China even calls its national push โ€œ๐€๐ˆ+โ€

I like the metaphor.

The AI is increasingly available to everyone.

๐“๐ก๐ž โ€œ+โ€ ๐ข๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐ฉ๐ž๐จ๐ฉ๐ฅ๐ž.

Twenty years of street smarts.

Customer instinct.

Knowing what actually sells on a slow Tuesday.

Knowing which process looks perfect on a PowerPoint slide but falls apart at 5 p.m. on a Saturday.

McKinseyโ€™s latest research found that nearly three-quarters of AI high performers fundamentally redesign workflows.

Among everyone else, itโ€™s about one-quarter.

That redesign cannot come from the model alone.

It needs the people who understand the work.

Toyota demonstrated this four decades ago at NUMMI, its joint venture with GM in California.

A workforce associated with a deeply troubled GM plant went on to produce dramatically better results under a different production system.

The lesson wasnโ€™t that the people had suddenly become better.

The system around them had changed.

Thatโ€™s the opportunity with AI.

๐ƒ๐จ๐งโ€™๐ญ ๐š๐ฌ๐ค ๐ฒ๐จ๐ฎ๐ซ ๐ฏ๐ž๐ญ๐ž๐ซ๐š๐ง๐ฌ ๐ญ๐จ ๐ฏ๐š๐ฅ๐ข๐๐š๐ญ๐ž ๐š๐ง ๐€๐ˆ ๐ฉ๐ฅ๐š๐ง.

๐€๐ฌ๐ค ๐ญ๐ก๐ž๐ฆ ๐ญ๐จ ๐›๐ซ๐ž๐š๐ค ๐ข๐ญ.

What did the model miss?
What wonโ€™t work in the real world?
What will the customer actually do?

๐“๐ก๐ž๐ง ๐ซ๐ž๐›๐ฎ๐ข๐ฅ๐ ๐ญ๐ก๐ž ๐ฐ๐จ๐ซ๐ค๐Ÿ๐ฅ๐จ๐ฐ ๐ฐ๐ข๐ญ๐ก ๐ญ๐ก๐ž๐ฆ.

AI drafts. Experience challenges.
Together, they redesign the work.

And when itโ€™s ready, let the people who helped build it show the rest of the team.

Put their name on it. Give them ownership.

Because the competitive advantage isnโ€™t the intelligence you rent.

Itโ€™s the organisational capability you build around it.

๐˜๐จ๐ฎ ๐ซ๐ž๐ง๐ญ ๐ญ๐ก๐ž ๐ฆ๐จ๐๐ž๐ฅ. ๐˜๐จ๐ฎ ๐จ๐ฐ๐ง ๐ญ๐ก๐ž ๐œ๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ฒ.

Who wrote your AI plan?

And who is expected to make it work?

#ChinaAI+ #AITransformation #FutureOfWork #ChangeManagement #RetailLeadership

Contact

bruno.gentil@sherpaconsultingasia.com

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