I’m tired of having to pretend that “Artificial Intelligence” is anything close to intelligent. Every day, I watch the hype grow louder, the expectations rise higher, and leaders talk about AI like it’s some sort of digital oracle , a wise machine that understands the world and will magically fix all the problems they don’t want to deal with. It doesn’t take much insight to understand the obvious “AI doesn’t understand a thing”

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Somewhere along the way, the branding won. The word “intelligence” hypnotized an entire industry, and suddenly everyone started projecting human thinking onto a statistical engine. And now we’re left with a dangerous mismatch, machines that are fundamentally stupid, and leaders who treat them as if they’re brilliant.

AI, as we see it today, isn’t some digital mind. It’s a pattern‑recognition machine. A probability engine. A glorified auto‑complete that’s very good at producing text that looks like meaning.

The Moment the Machine Sounds Smart

Executives hear an impressive answer and assume the machine must know what it’s talking about. They forget that the model is basically guessing with style.

That’s what worries me most, is the human behaviour. The moment the machine sounds smart, then it is OK switch off their critical thinking. Suddenly hallucinations are treated as facts, and biased patterns become business logic.

is AI an Escape From Real Leadership

When a problem is too big, too political, or too uncomfortable, leaders seems to reach for AI like it’s some kind of shortcut “AI can fix this.” It won’t.

Lets be very clear here, we cannot automate our way out of human responsibility:

• AI won’t clean your data.
• AI won’t define your ownership model.
• AI won’t align your teams.
• AI won’t fix your org structure.
• AI won’t replace strategy.

When the Data Is Wrong…

We all know that we go a mess of data, where data contradicts itself, what then ? AI has absolutely no idea what to do. We as humans can look at two conflicting statements and instantly ask,
“Which one makes sense? Which one is true?” AI can’t do that. It just consumes patterns, even when those patterns are complete nonsense.

So when your systems say things like:

• Customer A is active in one system and inactive in another.
• Supplier B is approved in one workflow and blacklisted in another.
• Material C weighs 8 kg today, 7.6 kg tomorrow, and 7.95 kg in that old Excel file nobody wants to admit still drives the business.

Takes all those contradictions, blends them into a statistically convenient guess, wraps it in a confident tone, and serves you a beautifully worded answer built on garbage “Garbage in, Garbage out.”

Data Stewardship, and AI

There is no prompt clever enough and no model large enough to magically correct

• dysfunctional master data,
• unclear ownership,
• decade-old system entropy,
• shadow spreadsheets,
• manual overrides,
• tribal knowledge,
• political definitions of “truth.”

If you haven’t done the hard work of building coherent data foundations, AI simply amplifies the disorder. It will confidently merge contradictions into an elegant lie.