Your demand for immediate AI ROI is sabotaging your long-term transformation.
You want the speed of AI without the implementation tax.
In a recent HBR roundtable, Thomas Davenport and Kate Niederhofer discussed a fundamental gap between the promise of augmentation and the reality of rebuilding complex processes.
If you only measure individual productivity, you are failing.
You might give everyone a Copilot, but if you are not redesigning your end to end workflows, you are simply speeding up the status quo.
The objection is obvious.
In a high interest environment, you cannot afford a temporary dip in output to build capacity.
The objection is valid. But the alternative is token maxing.
This is the superficial, fragmented use of AI that yields no measurable enterprise value.
Your executive action plan
1. Shift metrics from individual task speed to end to end process redesign.
2. Budget for the inevitable productivity dip that occurs when you rebuild your talent infrastructure.
3. Prioritize enterprise wide use cases over fragmented, individual tools.
Are you prepared to accept a measurable drop in quarterly output to build a meaningful increase in annual capacity?
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