aibl Research: The Human Conditions for AI-Driven Efficiency

After digesting too many charts, my takeaway was that successful mid-markets focused on efficiency have built the conditions for measurement: top-down ownership, strategic alignment, formal governance, and deliberate people enablement.

1. Successful firms have AI ownership concentrated at the top — CEO/C-Suite leads at 33% — while their peers are more likely to have ownership sitting in a dedicated data/AI team or distributed across functions. This suggests to me that measurement success follows when accountability lives with those who have P&L responsibility, not just technical or operational oversight. 
2. Over 70% of the success group passed the ‘5 managers test’ and believe at least 4 of 5 managers would name the same AI priorities, versus the group still pursuing ROI, where nearly half say only 3 of 5 would agree. Strategic coherence is a clear differentiator for efficiency returns (and revenue, but we’ll get to that next week). The firms that can measure ROI are also the ones where leadership is pulling in the same direction. 
3. The success group is overwhelmingly concentrated in mature, embedded governance (40%) and formal org-wide frameworks (34%), while the lagging group is spread across informal and inconsistently applied approaches. This is one of the sharpest splits in the deck — you can’t measure what you haven’t formalised. 
4. Nearly 80% of the success group say their people are very well equipped with clear guidance, training, and ongoing support — versus only 28% in the unsuccessful group, where 60% describe their people as only somewhat equipped. This is perhaps the most actionable finding: the investment in enabling people, not just deploying tools, separates the groups more starkly than almost any other variable. 
5. Finally, I was interested to see that PE-backed firms dominate the success group, while the rest skew heavily toward privately held firms with no institutional backing. The pressure and performance culture of PE ownership appears to be a meaningful accelerant for actually measuring and proving efficiency gains.

For those in that second group, there are ways to borrow from PE culture without adopting it. Make the choice to impose a small number of non-negotiable metrics and review them relentlessly, with accountability on the line. Define success before you deploy. Set a countdown clock to create urgency and don’t let things drift. The trick is to use shared success as the driving force, rather than the fear of failure that often powers PE backed companies.