In August, an Amazon executive told the Doing Digital conference that "the era of digital transformation is over — the era of AI agents is beginning." Gartner is briefing CEOs on the shift "from digital business to autonomous business." Telecoms have quietly scrubbed the phrase from their vocabulary.
I'll say the quiet part: this isn't a paradigm shift. It's a rebrand. And it's a dangerous one, because it lets leaders skip the work that has actually been failing for fifteen years.
The failure rate didn't move. The label did.
McKinsey's QuantumBlack "State of AI 2026," published this month, is the cleanest rebuttal. Adoption reached 89% of organizations, and 80% of employees say AI made them more productive. Yet only 37% of companies report a positive EBIT impact from AI — flat versus last year. The high-performer share, firms getting at least 5% of operating profit from AI, is stuck at 6%.
That gap isn't a model problem. It's the same process problem digital transformation has always exposed.
Agents amplify the process you point them at
The tell is one number: 74% of high performers have fully redesigned their workflows. Among everyone else? 25%. The winners didn't buy better tools. They did the unglamorous work — rethinking processes, cleaning data, changing how people operate — that the "transformation is dead" crowd now calls obsolete.
Point an agent at a broken process and you don't fix the process. You automate the dysfunction, faster. Even Amazon's own pitch concedes value arrives "not when companies simply add a new tool to old processes, but when they rebuild the operating model itself."
Don't rename the program. Finish it.
A rebrand to "AI transformation" is cheap. It flatters the board and postpones a hard conversation about why years of transformation left the core still unmigrated.
Before you deploy agents at scale, ask what changed besides the slide deck.
Call it digital, business, or autonomous — I don't care. Finish the redesign first. The 6% already did, and they're the only ones seeing the money.