Executive Summary
Akber Datoo warns that asking ‘What’s the best AI?’ shows insufficient engagement. He explains there is no universally superior model; performance depends on the specific job, risk appetite and real‑world context. Organisations should evaluate AI like a senior colleague—assign real work, observe judgment over time and remain model‑agnostic as capabilities shift.
Key Takeaways
Akber Datoo warns that asking ‘What’s the best AI?
’ shows insufficient engagement.
He explains there is no universally superior model; performance depends on the specific job, risk appetite and real‑world context.
Key Quote
“There is no universally “best” model, only models that are better (or worse) for a specific job, in your specific organisation, with your specific risk appetite”
Excerpt
I’m often asked: “What’s the best AI? ” That question is usually a tell.
If you’re asking it, you’re probably not engaging deeply enough yet to turn AI into a durable advantage. There is no universally “best” model, only models that are better (or worse) for a specific job, in your specific organisation, with your specific risk appetite.
Real‑world evaluations show that frontier models aren’t “the best in general”. They win by task and can swap places depending on whether you’re doing analysis, drafting, planning, coding or judgment‑heavy advisory work.
A more useful lens is task endurance not trivia.
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