AIBRIEF
For agentic AI — AI that acts on goals rather than only answering prompts — McKinsey's State of Organizations 2026 says budgets should split 1:3:5 across tech, process, and people, and most companies are doing the opposite.
For every $1 a company spends on agentic AI technology, the kind of AI that acts on goals rather than only answering prompts, McKinsey's math says it should spend $3 on process redesign and $5 on capability building. Most companies are spending that ratio upside down, and the model is not the part that is failing.
The 1:3:5 ratio comes from McKinsey's 2026 State of Organizations research, summarized in the firm's How to close the agentic adoption gap article. Leaders ranked change management and siloed ways of working as the top obstacles to scaling AI, ahead of inadequate technology infrastructure. The 1:3:5 framing is McKinsey's diagnostic for that gap: most companies pour money into the model and treat adoption as an implementation detail.
That diagnostic is also a sales artifact. McKinsey sells the transformation services its article recommends, so the 1:3:5 ratio is a useful lens rather than an independent benchmark. It survives a non-vendor read for orgs that genuinely lack change infrastructure; orgs with mature change functions may need a different mix.
Budgets lock in for FY27 over the next two quarters. The prompt for any leader scoring their own org: count what it actually spent on tech, process, and people in the last AI cycle. If the ratio is closer to 9:1:0, the model was never the bottleneck.