# The Permission Gap: Half of Teams Are Not Allowed to Experiment > Korn Ferry's 2026 report: only about half of workers say their managers encourage experimentation, while 55% of remaining managers are exhausted. Why AI. - Source: https://bodhih.com/experimentation-gap-managers-permission-to-try-korn-ferry-2026-india-training/ - Publisher: Bodhih Training (Bengaluru, India; since 2008) - Last updated: 2026-10-22 - Contact: solutions@bodhih.com · +91 99000 11601 --- Picture two teams in the same company, handed the same AI tool on the same day. Korn Ferry's 2026 report: only about half of workers say their managers encourage experimentation, while 55% of remaining managers are exhausted. Why AI. Key takeaways - Korn Ferry's Workforce 2026 report, covering more than 16,000 professionals across 11 markets, found that only about half of workers (52%) say their managers encourage experimentation (Korn Ferry). - The people who would have to grant that permission are stretched thin: the report says 42% of organisations cut management roles in the past year, and 55% of the managers who remain say they are exhausted (same source). - In India, Gallup finds manager engagement fell from 39% to 30% between 2024 and 2025, and 59% of all employees are not engaged (Gallup). - Our reading: training can build skill, but only a manager can make using it safe. An exhausted manager will rarely volunteer their team for anything uncertain. - The fix is cheap compared with most L&D spend: teach managers to create small, protected spaces to try things, and to respond well when they fail. Last updated 22 Oct 2026 · Bodhih Insights team · reviewed by [Siddharthan VGJ](https://bodhih.com/siddharthan-vgj/), Founder On the first team, the manager says: "Try it on something small this week. Tell us what broke." Someone uses it to restructure a client report. It goes badly. They share it anyway, and the team learns where the tool fails. On the second team, nobody says anything. The tool is there. The deadline is also there. Everyone quietly decides that a failed experiment costs more than a slow, familiar process, so the tool stays mostly closed. Six months later, the first team has a playbook. The second team has a licence fee and a training certificate. ### The difference was never skill. It was permission. *A note on sources: the figures above come from Korn Ferry's published press release and Gallup's India report. They are global or multi-market numbers unless stated, and are not an India-only measure of experimentation. We have not reviewed the full reports; check them before quoting externally. The causal link between exhausted managers and fewer experiments is our interpretation, not a finding of either report.* ## Skill Is Not the Bottleneck Anymore For the last few years, the standard response to new technology has been a course. Roll out the tool, train everyone, tick the box. India has done well at this. In our post on [the AI productivity paradox](https://bodhih.com/ai-productivity-paradox-more-work-india-teams-korn-ferry-2026-training/), Korn Ferry's India data showed a workforce that is positive about AI and largely feels trained to use it. Training reached people. So why do so many AI programs still feel stuck? Because knowing how to use a tool and **feeling safe enough to use it on real work** are two different things. The first comes from a course. The second comes from the person you report to. ## What "Encouraging Experimentation" Actually Looks Like It is easy to say you encourage experimentation. Employees can tell, within a week, whether it is true. They are watching for a few small signals: - **What happens to the last person who tried something and failed?** If the answer is a quiet note in their review, the lesson spreads faster than any email. - **Is there time for it?** An experiment that must happen "on top of" a full workload is not encouraged. It is tolerated, at best. (We wrote about why [no time to learn](https://bodhih.com/no-time-to-learn-workload-blocks-training-india-teams/) is the quiet killer of training.) - **Is it clear what is allowed?** Where employees are unsure of the rules on AI, they either avoid it or [use it in the shadows](https://bodhih.com/shadow-ai-employees-using-unapproved-ai-tools-india-training/). Neither teaches the organisation anything. - **Does the manager ever show their own attempts?** Managers who share what they tried, including what failed, make it normal for everyone else. ## The Squeeze Behind the Silence It would be unfair to blame managers. Look at their position. Many have more reports than before, because layers have been removed. (We looked at this in [the great flattening](https://bodhih.com/great-flattening-shrinking-management-layers-indian-managers/).) Many are also leading teams that now include AI tools they did not choose and do not fully understand, which we called [AI limbo](https://bodhih.com/ai-limbo-managers-leading-ai-agents-india-teams-training/). And their own engagement is falling, as covered in [the disengaged manager](https://bodhih.com/manager-engagement-decline-gallup-2026-india-training/). A manager in that position is judged on this quarter's output. An experiment is a bet that may lower it. Saying "no" or saying nothing is the rational move. **The gap between what companies say they want (innovation) and what managers are rewarded for (predictable delivery) is the real source of the problem.** ## Five Things That Make Experimentation Real 1. **Define a sandbox.** Name one or two task types where AI and new methods are explicitly welcome, with clear guardrails on client data and confidentiality. People experiment where the edges are visible. 2. **Set a failure ritual.** A short, regular slot, such as ten minutes in a weekly meeting, for "what we tried and what we learned." Reward the sharing, not only the success. 3. **Give the hour first.** Protect time before asking for results. Even one hour a fortnight changes how people feel about trying. 4. **Train managers to coach, not just approve.** Asking "what did you learn?" and "what would you try next?" is a skill. It can be taught, and it is the heart of [coaching for managers](https://bodhih.com/coaching-for-managers/). 5. **Measure the right thing.** Count experiments run and lessons shared alongside delivery metrics. What gets counted gets protected. ## A Quick Self-Check for Leaders Ask five people on different teams, separately and without warning: - When did you last try a new way of doing something at work? - What happened? - Would you tell your manager if it had gone wrong? If the third answer is "probably not", you have your diagnosis. The training budget is not the problem. The safety is. ## How Bodhih Helps Bodhih builds the skill and the conditions for using it. - [Coaching for Managers](https://bodhih.com/coaching-for-managers/) and [First-Time Manager Training](https://bodhih.com/first-time-manager-training/) help managers create room for learning, give feedback on attempts, and handle failures constructively. - [Change Management Training](https://bodhih.com/change-management-training/) prepares leaders to guide teams through new tools and ways of working without losing trust. - [Creative Thinking](https://bodhih.com/creative-thinking/) gives teams structured methods for generating and testing ideas. - [AI Literacy Training](https://bodhih.com/ai-literacy-training/) builds practical, role-based confidence, including clear rules on where AI is and is not appropriate. - [Micro-learning](https://bodhih.com/micro-learning-qstream/) keeps new habits alive between sessions, in small doses that fit a busy week. - [Assessments](https://bodhih.com/assessments/) show where managers and teams are ready, and where support is needed first. Corporate programs are private and tailored to your teams and roles. Open workshops are fixed-date public batches. You can explore [corporate training solutions](https://bodhih.com/corporate-training/) to see what fits. ## The Bigger Idea Every organisation wants a workforce that adapts. Few ask whether the people in the middle have been given permission, time and support to let their teams adapt. **A skill nobody is allowed to practise is just a certificate.** The companies that pull ahead on AI will not be the ones with the most courses. They will be the ones whose managers can say, and mean, "go ahead and try it." ## Frequently asked questions ### What does the Korn Ferry Workforce 2026 report say about experimentation? It found that only about half of workers (52%) say their managers encourage experimentation. The survey covered more than 16,000 professionals across 11 markets ([Korn Ferry](https://www.kornferry.com/about-us/press/korn-ferry-workforce-2026-report-unlocking-growth-requires-rethinking-how-work-gets-done)). ### Why does manager exhaustion matter for AI adoption? The same report says 42% of organisations cut management roles and 55% of remaining managers are exhausted. Managers decide how safe it feels to try new tools. Our interpretation is that overloaded managers are less likely to take on the risk of team experiments. ### Is this data specific to India? No. The experimentation and management figures are from a multi-market survey. Gallup's India data on manager engagement points in a similar direction, but the two sources measure different things. ### How can a company encourage experimentation without risking quality or data security? Define a sandbox with clear guardrails, such as which data can never be used with AI tools, and welcome experiments inside it. Pair this with a regular, blame-free slot to share results. ### Can training alone fix this? Training builds skill, but it cannot make a team feel safe to use it. Manager behaviour, time and clear rules matter as much. Training for managers on coaching and change leadership addresses that part. ### Where do the facts in this article come from? From [Korn Ferry's Workforce 2026 press release](https://www.kornferry.com/about-us/press/korn-ferry-workforce-2026-report-unlocking-growth-requires-rethinking-how-work-gets-done) and Gallup's [Rebuilding Indian Workplaces for the Future](https://www.gallup.com/workplace/713372/rebuilding-indian-workplaces-for-the-future-report.aspx) report. We have not reviewed the full reports.