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↑ ↓ to choose · enter to openUpdated 5 November 2026 · by Leap Company

Leap Trends · Leadership · Adoption

Condition

Leadership

Also touches on the condition Technology · How we choose the condition

Briefing

AI use and AI strategy as seen by leaders and by staff

Topics
  • AI use
  • Gap between top and front line
  • Leading by example

Managers use AI almost twice as often as their staff and think the direction is clear. The workforce does not experience it that way. The difference lies in what a manager visibly does: leading by example, setting a quality standard and saying what happens to the time saved.

Oldest publication Updated

Compiled with AI from public sources, with the source for every figure. Key figures labelled Checked have been compared with the source by a person. How that works

Key figures

  • 44%of US leaders use AI a few times a week or more; among employees without a management role, 23%.GallupNot yet checked
  • 26%of AI users say their leadership is clearly and consistently aligned on AI.Microsoft WorkLabNot yet checked
  • 66%of regular users who save time get little or no guidance on what to do with that time.Boston Consulting GroupChecked
  • 67%of the reported effect of AI is explained by the organisation: culture, manager support, talent policy.Microsoft WorkLabNot yet checked

What the sources say

Gallup finds that 44 per cent of US leaders use AI a few times a week or more, against 23 per cent of employees without a management role, and that half of all workers never use it. Leaders are more likely than their people to call the effect strongly positive. At BCG, across fourteen countries, a third of front-line staff find leadership’s communication about AI clear. Microsoft hears from one in four AI users that their leadership is aligned.

The problem is rarely the tool. BCG counts 42 per cent of regular users saving about eight hours a week, and two thirds of them getting no guidance on what to do with that time. Microsoft calculates that the organisation (culture, manager support, talent policy) explains two thirds of the reported effect of AI, and individual attitude one third. Employees who see their manager openly using AI and setting quality standards demonstrably get more out of it.

Capgemini Research Institute shows how this plays out in property and casualty insurance. The institute surveyed 344 executives and 809 employees at insurers. Of AI spending, 72 per cent goes to technology and 28 per cent to support and training; 42 per cent of insurers measure no AI outcomes at all; and 14 per cent of employees know exactly how AI fits into their work. Almost half of employees with access to AI tools say their working day is unchanged after eighteen months.

That makes this a question for the board, not for IT. See also the briefing The manager’s role in how employees use AI; this briefing is about the two things that come on top of that. What happens to the hours saved, and what makes AI-assisted work good enough? Without an answer to the first, the time evaporates; without an answer to the second, you get polished texts that nobody has checked.

Employees in the Dutch financial sector describe the same gap. In February 2026 the trade union CNV asked members at banks, insurers and pension administrators about AI and the reorganisations, and 388 members responded. Of these, 86 per cent already notice the influence of AI in their daily work and 63 per cent see its rapid development as a threat to their own job. Members say management presents AI as a tool to work better and faster, while they see cost cutting and job losses as the real aim. The survey is not representative: these are union members who chose to respond.

How solid is this? Gallup has been measuring the same gap since 2023, and in 2026 four large datasets point the same way. This is no longer hype; this is where things stand.

For the leadership team

The boardroom is further ahead than the rest of the building and is the last to notice. Two questions belong on the agenda: what happens to the hours AI frees up, and what makes AI-assisted work good enough to send on? As long as those go unanswered, the gains evaporate in the margins.

Sources

  1. GallupAI and Workplace Productivity: What Leaders Need to Know · survey
  2. Boston Consulting Group · Vinciane Beauchene, Sylvain Duranton, David Martin, Vanessa Lyon and Jeff WaltersAI at Work: Why Strategy Matters More Than Tools · survey
  3. Microsoft WorkLab2026 Work Trend Index Annual Report: Agents, human agency, and the opportunity for every organization · surveyOnly one in four AI users surveyed (26%) say their leadership is clearly and consistently aligned on AI.
  4. Capgemini Research InstituteWorld Property and Casualty Insurance Report 2026 · survey · Financial services72% of P&C insurers' AI spending is going to technology, and only 28% to change management.
  5. CNVNervositeit over grootschalige reorganisaties, 63% is onzeker over toekomst in financiële sector · survey · Financial services
  6. Gallup · Andy KempFrequent Use of AI in the Workplace Continued to Rise in Q4 · survey

We summarise in our own words and quote no more than one sentence per source. Read the original: there is more in it. How we use sources.

How this briefing has been updated

  1. Title now describes the topics; previously “The AI gap between leadership and the front line” (AI)

  2. First draft based on Gallup, BCG and Microsoft; Gallup has been measuring the gap since 2023. (AI)

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Publications per month for AI use and ownership in the financial sector, as supervisors see itDecember 2025: 0 publicationsJanuary 2026: 0 publicationsFebruary 2026: 2 publications2March 2026: 1 publicationApril 2026: 1 publicationMay 2026: 0 publicationsJune 2026: 0 publicationsJuly 2026: 1 publicationAugust 2026: 0 publicationsSeptember 2026: 1 publicationOctober 2026: 0 publicationsNovember 2026: 0 publications
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