Two-thirds of employers tie promotions to AI skill before defining what good use looks like

The 36 percent figure is leaders grading their own managers. HiBob asked the people who set AI policy whether the layer that has to apply it is ready, and among those counting on managers to build team capability, just over a third called them highly prepared ^[9]. A survey of decision-makers does not establish whether managers can judge AI-assisted work. It captures the confidence of the people who wrote the policy.

Sixty-seven percent of these decision-makers already link AI skill to promotion ^[4], and 36 percent of those relying on managers call them highly prepared to develop it ^[9], leaving 31 points between the criterion and the confidence ^[15]. A manager asked to close that distance has thin material. No training topic in the study passed 27 percent adoption, so for any single subject at least 73 percent of these employers do not cover it ^[7][16].

HiBob's write-up is blunt about the sequencing. "Responsibility does not equal readiness," it said, and organizations are "asking managers to lead a major workforce transformation without providing the structure, language, or tools to do so effectively" ^[10][11]. Its own illustration of the failure mode is three managers: one rewards experimentation, one focuses mainly on risk avoidance, one does not know how to evaluate AI-assisted work at all ^[18].

Seventy-five percent expect moderate AI proficiency to become standard across most non-technical roles within the next 24 months ^[3]. Twenty-four months is two annual review cycles.

Review systems have always scored things nobody defined precisely, collaboration and judgement among them, and managers calibrate by comparing cases across a team. The comparison set here is new: AI skill reached promotion criteria at two-thirds of these employers ^[4] before training gave managers a common reference, and HiBob's own reading of where companies stand is that the intent is there and what is missing is consistency ^[7][14].

The research recommends a behavioral framework of observable behaviors that managers, employees and recruiters can use, instead of broad phrases like "AI literacy" ^[13]. The recommendation comes from the firm that ran the survey. On pay, the study reports promotion criteria and performance ratings as percentages; compensation standards appears only as one of the decision types respondents had engaged with in the past year, with no share attached ^[1][17].