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The next AI bottleneck is not the model. It’s the infrastructure behind it
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How I use AI to boost productivity and revenue | CIO
AI access should be treated like any other privileged enterprise capability: limited, logged, reviewed and easy to revoke.
The NIST AI Risk Management Framework is a useful reference point here because it frames AI risk as something organizations must govern, map, measure and manage continuously rather than something handled only at the end of deployment.
This work may not be as exciting as a model demo, but it is what separates sustainable AI from short-term experimentation.
A capable model on strong infrastructure can deliver real value because it can be trusted, secured, scaled and improved.
The next AI bottleneck is not the model.