A management survey finds AI enthusiasm running ahead of workplace infrastructure

monday.com’s study of 1,701 senior leaders reports widespread encouragement to use AI, alongside uneven central systems and mixed experiences of workload.

A survey presented by monday.com reports a gap between encouragement to use AI and the workplace systems intended to support it. The company’s 2026 research summary covers 1,701 directors and senior managers across seven countries and was reported in October 21 news coverage.

Of those surveyed, 72% said their companies mandate or strongly encourage AI use, while 29% reported fully optimised, centralised AI infrastructure. The figures describe respondents’ assessments, rather than an independent inspection of each organisation.

Satisfaction and extra work can coexist

The summary reports 82% satisfaction with using AI at work, but 29% say it has increased their working hours. Another 59% say identifying and testing opportunities for AI takes more effort than it saves.

Those results do not establish that AI caused a particular company’s productivity to rise or fall. They show that positive attitudes can sit alongside implementation effort and changes in workload.

The public page also reports uneven preparation: 85% believe management skills need to change, while 65% say their company has provided sufficient AI training.

Individual adoption is not an operating model

A person can become comfortable with an assistant before an organisation has settled access, shared tools and responsibilities. That can leave managers judging polished outputs without a clear account of how the work was done.

The useful question raised by the study is therefore organisational: how does individual use become a repeatable workflow whose results can be understood and checked?

monday.com sells work-management software, so its role in presenting the research is relevant context. The public summary is evidence of the reported survey responses, not proof that one product or architecture resolves the issues it identifies.

Sources

- [AI at work2026: Squinting in the Sun](https://monday.com/gp/ai-report-2026) — monday.com