McKinsey says the AI tools are a commodity. Salesforce showed the same week what one costs.

The Rewired manifesto argues the advantage is execution speed, not the tools. Benioff priced one of those tools at $300 million.

McKinsey published its AI Transformation Manifesto this spring, a companion to the second edition of its book Rewired, signed by senior partners including Alex Singla, Alexander Sukharevsky, Eric Lamarre, Kate Smaje, and Robert Levin. The central line is blunt: the advantage of leading companies does not come from the technology they use, because those tools are broadly available. The advantage comes from how well and how fast a company applies them to real problems at scale. As a description of the competitive dynamic, it is correct.

It also arrived in the same week that Salesforce disclosed it would spend around $300 million with a single AI vendor for coding alone. Hold the two together and the point sharpens. The commodity that is broadly available costs $300 million at one company and produces a productivity gain large enough to justify freezing engineering hiring. McKinsey is describing the dynamic. Salesforce is living it.

That is the pressure on the advisory model, not the validation of it. If the tool is a commodity and execution speed is the prize, the premium on advice has to match the specificity of the decision it informs. Benioff decided with productivity numbers and vendor bills. A firm charging for the same cost-structure judgment needs a product to point to rather than a slide: a named productivity benchmark, a named threshold at which the AI unit beats the human one, and a named method for governing whatever replaces the role. The manifesto has the thesis. The mechanism is still described, not shipped.

The firms that can only narrate the shift are, in effect, renting the client the same commodity everyone else can buy, then billing for the explanation.