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Future of Work

We Invested in AI. Engagement Still Dropped.

June 10, 20268 min read
AI and leadershipemployee engagementfuture of workGalluptrustexecutive coachingAsia
We Invested in AI. Engagement Still Dropped.

The numbers should not be possible.

Organisations have spent billions on AI transformation. The tools are genuinely powerful. Adoption rates are rising. And yet: Gallup's most recent State of the Global Workplace report found that global employee engagement has dropped to 20%. The lowest level since 2020. Manager engagement, the single biggest lever on team performance, fell from 31% to 22%.

And in a separate survey, 89% of business leaders said AI had not yet moved the productivity needle.

Think about that combination for a moment. More AI. Less engagement. Flat productivity. This is not a technology problem. This is a leadership problem wearing a technology story.

The Contrarian Conclusion Nobody Wants to Say Out Loud

Here is what the data is telling us, if we're willing to read it honestly:

We have been investing in the wrong thing.

Not instead of AI. AI matters, and the organisations that use it well will build real advantage. But we have been investing in AI instead of investing in the human conditions that make AI useful. Instead of investing in the trust, clarity, and psychological safety that determine whether any tool actually gets used well.

A team that doesn't trust its leadership will use AI tools to comply, not to innovate. A manager who feels disengaged will roll out a new platform without conviction, and their team will sense it. A workforce that is anxious about what AI means for their future will underperform. Regardless of what's in their tech stack.

The tools are not the problem. The ecosystem around the tools is.

Why Engagement Drops When AI Rolls Out

In my coaching work with senior leaders across Asia, I've observed a consistent pattern when AI is introduced without genuine cultural preparation:

Anxiety replaces curiosity. When leaders don't address the "what does this mean for me?" question directly, people fill the silence with fear. Fear triggers defensive behaviour. Compliance over creativity. Self-protection over collaboration. Engagement collapses not because people don't want to do good work, but because they are expending cognitive energy on survival rather than performance.

Workload expands without relief. As I wrote in an earlier piece, 77% of employees say AI has added to their workload rather than reduced it. New tools inside unchanged systems create more work, not less. The efficiency gains disappear into higher output expectations, and the people running the operation feel it acutely.

Managers stop managing people and start managing metrics. As AI generates more data faster, there is a gravitational pull toward measurement. Dashboards multiply. KPIs proliferate. And in the middle of all of this, the fundamentally human work of being a manager gets quietly deprioritised. Knowing your people. Supporting their growth. Having honest conversations. Manager engagement falls. Team engagement follows.

The 89% Problem

Eighty-nine per cent of leaders saying AI hasn't moved the productivity needle is not a statement about AI. It is a statement about implementation.

The organisations seeing genuine productivity gains from AI have something in common: they approached AI as a work redesign project, not a technology rollout. They asked not just "which tools should we deploy?" but "how does work need to change for these tools to create real value?" And critically, they invested in the human side of the change — communicating clearly, addressing anxiety directly, and redesigning workflows rather than simply adding new capabilities to old structures.

The organisations still waiting for AI to pay off are almost uniformly the ones that handed people access to tools and waited for the numbers to move. They never asked what needed to stop. They never addressed what people were feeling. They never redesigned the system.

What the Data Is Actually Asking Leaders to Do

The Gallup numbers are not a reason to slow down on AI. They are a reason to change what you're investing alongside it.

Specifically, they are asking leaders to invest in three things that no AI platform can provide:

Trust. The psychological safety that allows people to be honest about what's working and what isn't — including what's working and what isn't about your AI implementation. Without trust, you are flying blind. Your engagement scores will tell you something is wrong long after the conditions that created the problem were fixable.

Clarity. About what AI means for roles, for career paths, for the things that will still matter and the things that won't. Ambiguity fuels anxiety. The leaders who are protecting engagement through this period are the ones who are having the direct, human conversations that most organisations are avoiding.

Meaning. The connection between work and purpose that determines whether someone comes in wanting to contribute or just wanting to comply. AI cannot manufacture this. But it can erode it — if it's introduced in ways that make people feel replaceable rather than elevated.

A Different Metric to Track

If you are a leader reading this, here is the question I'd invite you to ask before your next leadership meeting:

Do my people feel more or less valued than they did twelve months ago?

Not more or less productive. Not more or less capable. More or less valued.

Because the data suggests that for the majority of the workforce right now, the honest answer is: less. And that gap between the capabilities being unlocked by AI and the human experience of the people being asked to use it is the real leadership challenge of our time.

The organisations that close that gap first will not just see their AI investments pay off. They will see their people flourish in ways that no dashboard can fully capture — but every leader can feel.


If your team is delivering but not thriving and engagement is flat or falling despite genuine investment in transformation, I'd love to have a conversation about what's actually going on. Book a complimentary strategy call here.


Adeline Tiah is an ICF PCC Certified Executive Coach based in Asia, with 28 years of corporate leadership experience across global MNCs. She specialises in leadership transformation, high-performing teams, and culture change. She is the author of Reinvent 4.0, a guide to leading with purpose in an age of disruption.

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Adeline Tiah

Adeline Tiah

Leadership & Team Coach | ICF PCC | Author of Reinvent 4.0

Adeline Tiah

ICF Professional Certified Executive Coach & Author. Helping leaders navigate disruption and create lasting impact.

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