PEO
Adobe survey: only 6% of firms have cracked AI at scale
By Anthony Beck, . Insurance Wire.
Most companies running AI pilots are not getting further than that, according to a survey Adobe commissioned with research firm Incisiv, covered by HRO Today. The research drew on responses from 5,633 senior executives across 12 industries and 11 markets, plus more than 50 interviews.
Adobe places 58% of organizations in what it calls the "Frozen Middle", firms that are piloting or deploying AI but lack the internal coordination to push further. Another 13% are still in an exploration phase, 16% are expanding, and 8% are in active transformation. Only 6% have reached what Adobe defines as the leader tier: companies that have "both scaled AI and developed the operating model to sustain it," as HRO Today quoted the report.
The performance gap between that 6% and everyone else is measurable. Leaders showed between 1.4 and 1.6 times greater improvement across cost reduction, cycle time, and volume, according to the survey data.
The structural difference Adobe identifies is ownership. Among the leading companies, 92% have a formal AI owner, a designated person or function accountable for AI deployment. Across the broader survey population, that figure drops to 20%. Leaders are 4.7 times more likely to have that role in place, the survey found.
For PEOs and their client employers, the ownership question is not abstract. Workforce technology decisions in a co-employment arrangement often sit in an ambiguous space between the PEO's platform and the client's internal operations. When AI tools touch payroll processing, benefits administration, or HR workflows, all areas where PEOs carry shared liability, the absence of a clear internal owner on either side of that relationship is exactly the condition Adobe's data flags as the reason implementations stall.
Adobe's report identifies five practices that distinguish scaling organizations from those stuck in the pilot phase, though HRO Today's coverage did not detail all five.
What the survey does not establish is whether the ownership gap is a cause of stalled scaling or a symptom of broader organizational readiness. A company without the coordination to scale AI may also be the kind of company that has not yet assigned ownership, both could reflect the same underlying condition rather than one driving the other. The data shows a strong correlation; it does not settle the direction of causation.
The more practical question for employers is whether the AI tools already in use, in scheduling, onboarding, claims intake, or benefits enrollment, have anyone accountable for their performance and expansion. If the answer is no, the survey suggests that is where the ceiling is.
Source: https://www.hrotoday.com/news/ticker/few-companies-are-scaling-ai-successfully/
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