Every leader I speak to right now is somewhere on the same spectrum: either cautiously optimistic about AI, quietly overwhelmed by it, or both simultaneously. And that tension – that contradictory experience of feeling more capable and more exhausted at the same time – turns out to be exactly what the research is uncovering.
We’ve been told the story of AI as relief. Less admin. Faster decisions. More time for the strategic, human work that matters. It’s a compelling narrative. But a growing body of evidence suggests it’s an incomplete one – and for leaders in particular, the gap between the promise and the reality deserves serious attention.
A landmark study published in Harvard Business Review by Aruna Ranganathan and Xingqi Maggie Ye found something striking: when a 200-person tech company gave employees access to generative AI tools, they didn’t work less. They worked more – at a faster pace, across a broader range of tasks, and deeper into their evenings. Nobody asked them to. They just did, because AI made doing more feel possible.
“You had thought that maybe, because you could be more productive with AI, you save some time, you can work less. But then really, you don’t work less. You just work the same amount or even more.”
— Engineer, quoted in HBR study on AI and work intensification
The study identified three distinct patterns: task expansion (people absorbing work that would previously have gone to others), blurred work-life boundaries (AI made starting a task so frictionless that workers slipped prompts into lunch breaks and late evenings), and constant multitasking (managing multiple AI threads simultaneously, creating cognitive load even as it felt productive). The result was a self-reinforcing cycle: AI accelerated tasks, which raised expectations for speed, which created greater reliance on AI, which widened scope further.
This lands on leaders who were already struggling. Research by Oracle cited in a second HBR study found that 85% of business leaders have experienced decision stress, with three-quarters reporting a tenfold increase in daily decisions over the previous three years. Poor decision-making is estimated to cost firms at least 3% of profits annually – and that’s before we factor in the reputational costs of a single poorly handled crisis.
There’s a deeper paradox at work here. AI gives leaders access to more data, more analysis, and more options than ever before. But more isn’t always better. In practice, the cognitive load of processing vast amounts of information – much of it beyond what you actually need to make a sound decision – is itself a significant source of pressure. Research consistently shows that decision quality degrades as the volume of information increases past a certain threshold.
AI can surface fifty data points where five would suffice, and the effort required to evaluate, filter, and contextualise all of it quietly drains the very capacity leaders need for clear-headed judgment. The result is what researchers call decision fatigue: the more choices and information you process, the poorer your subsequent decisions become. AI, paradoxically, can intensify exactly the problem it promises to solve.
DDI’s Global Leadership Forecast 2025 found that 71% of nearly 11,000 leaders reported rising stress levels since taking on their current role – up from 63% in 2022. Successfully leveraging AI was cited as a top stressor by 29% of respondents. In other words, the very tool meant to relieve pressure is now a source of it.
“AI doesn’t just give you more information – it gives you more than you can act on. And more data without better judgement doesn’t improve decisions; it just makes poor ones feel more justified. The leaders who get the most from AI aren’t the ones who use it most. They’re the ones who know what question they’re trying to answer before they ask it – and who bring the human judgement to know what the answer actually means.”
— James Brook, TalentPredix™
What makes this particularly tricky for leaders is that the overload is largely invisible – to themselves and to their organizations. Because employees are expanding their workloads voluntarily, and framing it as energising experimentation, it rarely registers as a problem until it becomes one. A 2026 ActivTrak analysis confirmed the pattern: after AI adoption, task volume and multitasking rose while focused work fell. Burnout isn’t just driven by hours worked – it’s driven by fragmentation, decision fatigue, and lack of recovery time.
Meanwhile, the DHR Global Workforce Trends Report 2026 found 83% of workers reporting at least some degree of burnout, with burnout’s influence on engagement growing sharply – 52% of workers now say burnout drags down engagement, up from 34% in 2025. At the same time, ManpowerGroup’s Global Talent Barometer 2026 found AI adoption jumped 13% while confidence in using AI fell 18%. The tools are spreading faster than the support structures around them.
The HBR research on decision-making under pressure makes clear that AI genuinely can help – as a sounding board, a co-pilot for synthesising complex risk data, a tool for stress-testing decisions before you commit. The question is whether it’s being deployed intentionally, or just absorbed into the existing pressure. Here’s what the research, and hard-won experience, suggests good leadership looks like in practice.
Not slow-downs, but structured moments to check alignment and absorb information before pressing forward. AI removes friction, which is mostly good, but friction sometimes served a purpose. A quick decision pause before a major commitment – one counterargument, one explicit link to your strategic goals – can prevent the kind of drift that only becomes visible in hindsight.
The blurring of work and non-work is one of the most consistent findings across the research. Because AI makes it so easy to start a task, people stop stopping. Leaders need to model clear boundaries – no prompting during lunch, no ‘quick last query’ at 10pm – and build team norms that make it safe to switch off. Deloitte’s 2025 Workforce Intelligence Report identified cognitive strain and decision friction as the leading indicators of burnout, ahead of workload volume for the first time. Boundaries aren’t soft; they’re structural and vital for effective performance.
There’s a subtle but important shift that happens when AI moves from tool to authority – when its outputs stop being inputs to your thinking and start being the answer. Leaders need to actively resist this. AI works best when it serves the human agenda, not the other way around. That means using it to interrogate your assumptions, not validate them; to widen your options, not close them down. As one expert framed it in the HBR decision-making research: AI functions best as a teammate that challenges your thinking – not an oracle that ends it. The moment your team stops questioning AI outputs is the moment the risk quietly rises.
AI gives you one synthesised perspective. It draws on patterns in data; it doesn’t draw on lived experience, organizational context, or the kind of judgment that comes from genuinely knowing your people. The 2025 Wiley Workplace Intelligence research found that the traits most predictive of high-performing teams were emotional intelligence, psychological safety, and trust – none of which AI can replicate or replace. The leaders who are getting this right are those who use AI to free up time for human connection, not replace it. Short check-ins, shared reflection, real dialogue – these aren’t soft extras. They’re what makes the rest of it work.
Good leaders have always known when to stop gathering data and start deciding. AI makes that discipline harder to maintain, because the next analysis is always only a prompt away. Build the habit of asking: what information do I actually need to make this call? More often than not, you already have it. The rest is noise that costs you focus.
The question facing leaders isn’t whether AI will change how you work. It already has. The question is whether you’re actively shaping that change – or letting it quietly shape you. The data suggests most of us are closer to the latter than we’d like to admit. That’s not a criticism; it’s an invitation.
Feeling the pressure to make faster, better people decisions with less room for error?
The answer is not more data for the sake of it. It is better insight into what helps people perform, adapt, and thrive.
TalentPredix™ helps organizations understand the strengths, motivations, values, and human capabilities their people need to lead well through constant change.
If you want to build more human, future-ready leadership in the Age of AI, book a demo or get in touch with TalentPredix™.
AI Doesn’t Reduce Work – It Intensifies It – HBR, February 2026
How AI Can Help Leaders Make Better Decisions Under Pressure – HBR, October 2023
Why Leaders Need to Build Resilience to Avoid AI Burnout – IT Pro, March 2026
Is AI Helping Burnout or Quietly Making It Worse? – HRD Connect, March 2026
Workforce Trends 2026: Leaders Confront Burnout, Disengagement and AI-Driven Change – DHR Global / Hunt Scanlon, November 2025
Takeaways for 2026: About Stress, Change, People and Performance – Wiley Workplace Intelligence, 2025
The world of work has always demanded capable leaders. What has changed – dramatically, and permanently – is the nature of the water they are navigating.
It is no longer a steady river with the occasional rapid. It is white water: relentless, unpredictable, and flowing from multiple directions at once. AI transformation, multi-generational workforces, conflicting demands, hybrid working, geopolitical instability and stakeholder expectations that would have seemed extraordinary a decade ago are now the simultaneous daily reality of leadership.
And yet the global leadership development industry – valued at $370 billion – continues, in the main, to prepare leaders for calmer conditions. One-size-fits-all programmes. Deficit-based competency frameworks. Development that tells leaders what they are getting wrong but rarely builds the inner resources they need to keep performing when everything around them keeps shifting.
Here is what navigating white water actually demands – of leaders, and of the organizations that develop them.
Transformation is no longer a project with a start and an end date. It is a permanent condition. The leaders who will thrive in it are not those who manage change most efficiently – they are those who adapt most effectively, and who draw the best from the people around them as conditions shift.
That requires a different kind of leadership development. Not one that identifies what is broken and tries to fix it. One that uncovers what is distinctive in each leader – their specific combination of strengths, motivators and values – and builds from that foundation.
Positive, adaptive leadership is not a style. It is a set of capabilities: the ability to inspire purpose under uncertainty, to model learning agility, to empower others with genuine autonomy, and to align diverse strengths toward shared goals. These cannot be downloaded from a generic competency framework. They emerge when development is built around who each leader actually is.
Leaders who know and operate from their strengths maintain composure, make better decisions and recover faster when things go wrong. In the age of AI, where the pace of change will only accelerate, that inner resourcefulness is not a development aspiration. It is a survival capability.
“In the age of AI, inner resourcefulness is not a development aspiration. It is a survival capability. The leaders who will thrive are those who know what they uniquely bring – and have built the self-insight and standout strengths to deploy it, whatever the conditions.”
– James Brook, Founder & CEO, TalentPredix™
High performance in turbulent conditions is not a solo endeavour. It is built in teams – and the quality of those teams depends almost entirely on the culture the leader creates around them.
Google’s Project Aristotle research identified psychological safety as the single biggest factor in team performance: more predictive than the intelligence, experience or technical capability of the individuals within it. When people feel safe to speak up, to challenge, to be honest about what is not working, the team shares perspectives, thinks better and adapts faster.
But psychological safety does not emerge by accident. It is built – through how leaders respond to mistakes, how they handle disagreement, and whether they create genuine space for diverse perspectives and ideas. Leaders who build trust and belonging in their teams are not being soft. They are building the conditions for their teams to perform at their best precisely when the pressure is highest.
Belonging matters beyond safety. When people feel valued for who they are – not just what they produce – they bring more of their genuine capabilities to their work. In a world where the most valuable contributions are creative, adaptive and relational, that is a significant competitive advantage.
The shift from compliance culture to one of genuine collaboration and inclusion is one of the most strategically important leadership transitions of our time. It cannot be mandated from the top.
It must be modelled.
This is especially urgent given that 75% of Gen Z prioritise values-aligned work over pay and are actively turning down management roles that lack genuine purpose. The next generation of leaders will follow those who model it – or they won’t follow at all.
The evidence on what happens when leaders genuinely invest in the strengths and potential of their people is not ambiguous. Gallup’s research on strengths-based organizations consistently finds substantial performance gains across every metric that matters commercially.
10–19%
increase in sales
26–72%
lower staff turnover in high-attrition organizations
22–59%
fewer safety incidents
These are not wellbeing outcomes. They are business outcomes – and they result from one thing: leaders who create conditions where people can perform at their best.
But performance alone is not enough. The organizations that will sustain growth through the disruption ahead are those whose leaders connect what people do to why it matters. Purpose is not a values statement on a wall. It is the lived experience of understanding how individual contributions connect to something meaningful – to customers, to communities, or to a mission worth pursuing.
Leaders who set a clear, compelling direction and then invest in developing the distinctive strengths of everyone around them do not just improve short-term performance. They build the creative energy and intrinsic motivation that generate lasting innovation and durable competitive advantage.
In 2004, psychologist Fred Luthans and colleagues published what remains one of the most important insights in organizational psychology: that alongside human capital (“what you know”) and social capital (“who you know”), there is a third and critically underinvested form of capital that determines how effectively leaders show up and perform under pressure.
He called it psychological capital. And he defined it as the positive inner resources that enable people to sustain high performance through adversity, uncertainty and constant change.
“Who I am is every bit as important as what I know and who I know.”
– Fred Luthans, Business Horizons, 2004
Psychological capital comprises four specific, developable resources – what Luthans called the HERO within each of us.
Hope: the ability to set goals and find multiple pathways to reach them.
Efficacy: genuine confidence in one’s capacity to take on challenge.
Resilience: the ability to recover from adversity with learning rather than depletion.
Optimism: not naïve positivity, but realistic, constructive expectation about the future.
The critical insight is this: these resources are not fixed. They are state-like. They can be developed – and they can be depleted. Research is clear that sustained pressure without adequate support and development erodes them. Leaders who are high in PsyCap sustain performance where others deplete. They navigate ambiguity with composure. They model the resilience and agility their teams need to see.
Leaders who operate from their genuine strengths, and help team members do the same, access their HERO resources more readily – and strengths-based development is one of the most reliable ways to build all four.
This is not a case for ignoring weaknesses or avoiding tough conversations. It is a case for investing in the psychological infrastructure that makes every other leadership capability more sustainable. In white water conditions, leaders need more than knowledge and networks. They need the inner resources to keep leading effectively when the ground keeps shifting.
The question for every organization is no longer whether leadership development matters. It is whether you are building the right kind for this new era we are entering.
“Leaders have invested heavily in what people know and how they work with others. The next frontier is helping people become psychologically and emotionally stronger, individually and collectively – so they can perform, adapt and thrive under pressure.”
– James Brook, Founder & CEO, TalentPredix™
Explore how TalentPredix™ can help your organization develop leaders equipped for constant change. Request a free trial or book a discovery call to find out more.