The hard part is converting intelligence into returns
Slok says AI may work well as a calculator, but business intelligence is largely the ability to make decisions. Those decisions depend on factors that models do not understand, including:

Source: techcrunch.com
These considerations can shape reputational risk, which ultimately affects revenue growth and profit margins. Lower-cost AI, in other words, does not automatically translate into better business results.
Recent research also suggests AI has not yet produced a significant increase in productivity.
The missing link
I think the more important question is not whether AI can perform useful tasks, but whether companies can change how they make decisions around it. Slok’s argument points to a gap between cheaper cognitive tools and the human, organizational judgments that influence financial outcomes.
That leaves a difficult test for AI adoption: if productivity gains remain limited and responsibility-sensitive decisions still depend on context, falling costs alone may not be enough to lift profits.
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