Seven key take-outs from the Future Talent Summit 2026 for CHROs and HRDs
By Alison Ettridge, Founder of AmpliTask and Global Advisory Impact Member, Future Talent Council
The strongest message I took from the Future Talent Summit 2026 was not that AI will determine the future of work, it was that leaders still have agency. The organisations that create value will be those that redesign work deliberately, keep people connected through change and use human and artificial intelligence together to achieve more than efficiency alone.
Seven take-outs in brief
- Human advantage: As access to knowledge becomes easier, curiosity, judgement, empathy, learning agility and intellectual humility become more valuable.
- Connection through change: Transformation works when people can connect to its purpose, their role, their team and their leaders. Work that Thomas and Luke McKeever talk about with purpose.
- Work before technology: AI applied to an unchanged process may accelerate activity without improving the work or its outcome, in fact, it could worsen work.
- Planning for possibilities: Static forecasts and workforce planning need to give way to scenarios, decision triggers and the capacity to redeploy skills quickly, so you need to get your baseline understanding right.
- Leadership as navigation: CHROs must combine external signals with internal skills, task and organisational data—then act without waiting for perfect certainty.
- Value beyond savings: The AI business case should balance efficiency with growth, innovation, quality, capacity and better decisions.
- Human-led frontier firms: Human–agent teams increase the importance of human judgement and make work design an ongoing organisational capability.
1. Human advantage starts with curiosity
Vivienne Ming ’s session posed a fundamental question: what should we teach when information is instantly available on a phone? The answer is not to compete with machines on recall. It is to strengthen the qualities that make human intelligence distinctive.
Curiosity, empathy, fluid thinking, intellectual humility and the confidence to challenge assumptions are becoming commercial capabilities. So is learning how to learn. When tools and technical skills change quickly, an organisation’s advantage rests less on what its workforce knows today and more on how quickly people can question, experiment, unlearn and adapt.
For HR leaders, this changes the capability agenda. Development cannot focus only on current skills gaps or tool training. It must create the conditions for safe experimentation, reflection and continuous learning. The smartest capability will not be human or artificial intelligence in isolation; it will be hybrid intelligence—curious people using AI to improve ideas, decisions and outcomes.
2. Connection is infrastructure for change
A memorable observation from Pilar C. of NATO was that culture is how employees feel on Sunday night and Monday morning. That captures why transformation cannot be managed through programme plans and communications alone.
People need to connect to the reason for change, the purpose behind it, their team and their leaders, as discussed during he 'follow the money' session led by Luke McKeever. Without those connections, transformation becomes something done to people rather than built with them. Adoption may look acceptable on a dashboard while trust, commitment and discretionary effort quietly weaken.
This is a defining opportunity for HR: not simply to support transformation, but to shape how it is experienced. Please let's also retire the phrase ‘human in the loop’. It raises more questions than it answers: which loop, where is the human positioned, and what influence do they have? ‘Human in the lead’ is clearer. People should direct, challenge and combine the contributions of colleagues, AI agents and autonomous systems.
3. Skills talk is easy. Work redesign is harder.
Randstad Enterprise’s session on the productivity reckoning reinforced a lesson many organisations are beginning to confront: AI layered onto an old process gives you a faster old process. It does not necessarily create better work.
Enterprise value will come from redesigning the workflows through which outcomes are produced. That means starting with the result, breaking the workflow into tasks, identifying where technology can automate or amplify, and deciding where human judgement, creativity, trust and connection create value.
The difficulty is that work contains unwritten rules, hidden dependencies and informal workarounds. They rarely appear in a process map, but they determine whether the work succeeds. This is why redesign cannot be a job-by-job exercise conducted from a distance. It must examine the real flow of work across teams, systems and organisational networks. It also creates the foundation for more flexible careers, because people can move across projects and functions based on durable skills rather than a fixed job title.
4. Workforce planning must prepare for possibilities
Nicklas Lundblad challenged the audience to treat the future as something we practise rather than something we predict. That has direct implications for strategic workforce planning.
Many organisations still seek confidence through one headcount number, one skills plan and one expected future. Yet geopolitics, regulation, technology and market demand can change the assumptions beneath those plans almost overnight. The answer is not to stop planning. It is to plan differently.
Break large uncertainties into smaller questions. Identify the driving forces. Test competing assumptions. Build credible scenarios and agree the signals that would trigger a change of course. From a workforce perspective, this means understanding people at the level of skills and potential, understanding work at the level of tasks, and developing the ability to redeploy people and human–AI teams as conditions change. The organisations that learn and move fastest will outperform those waiting to predict one future correctly.
5. Leaders must become navigators, not fortune-tellers
David Bach described a global environment shifting from efficiency and scale towards security and resilience. Talent strategy cannot sit outside that reality. Labour shortages, geopolitical fractures, regulation, location risk and AI adoption all affect whether an organisation can access the capability it needs.
I think of the challenge in sailing terms. The destination may remain clear, but the wind, weather and tide will change. Progress depends on reading the conditions and tacking—sometimes repeatedly—without losing sight of where the organisation needs to go.
For CHROs, navigation means combining external labour-market, location and competitor intelligence with an honest internal view of skills, tasks, culture and capacity. It also demands intellectual humility and calibrated decisiveness: being transparent about uncertainty while acting before every unknown has disappeared. Optimism matters here—not as wishful thinking, but as confidence that better outcomes can still be shaped through evidence and adaptation.
6. The AI business case cannot stop at cost reduction
The ‘Follow the Money to the Future of Work’ panel surfaced an important tension. Cost reduction is visible in the next quarter’s numbers. Growth is harder to predict. Yet history suggests the larger prize comes from creating new value, not simply delivering the same output with fewer people.
Efficiency matters, but it should not become the whole strategy. A stronger AI business case asks two questions: what can we save, and what can we now create? That second question opens possibilities around innovation, decision quality, service, capacity and growth.
Begin with the work. Map the workflow and its tasks. Identify which activities create economic or human value, which can be automated, and which should be amplified. Then determine the skills, judgement and relationships the redesigned work requires. AI is not a workforce strategy; it is a powerful utility colleague within a wider team. Its value should be measured by whether it expands human contribution as well as reducing cost.
7. The frontier firm needs more human skill, not less
Rachel Russell’s account of Microsoft’s frontier firm offered a practical way to examine work. Separate activities into three categories: AI can do it now; AI will be able to do it soon; and it is innately human. Then redesign the workflow around the result.
As employees become the people who delegate to, direct and judge AI agents, curiosity, judgement, empathy, creativity, learning agility and connection become more important. The technology does not remove the need for human skill; it makes the valuable human contribution more visible.
Individual capability, however, is only part of the answer. Frontier firms also need leadership behaviours, governance, culture, systems and incentives that enable responsible adoption. The aim is quality and speed—not speed at the expense of judgement, trust or value. Work design therefore cannot be a one-off transformation project. It must become a continuing organisational discipline.
A practical CHRO action agenda
The summit’s ideas become useful only when they change what leaders do next. Six practical starting points are:
Choose one high-value workflow: Start with an outcome that matters to the business and understand how work actually moves across tasks, systems and teams. If you don't know where to start use the AmpliTask diagnostic to show you where you might win.
Apply the three-column test: Separate what AI can do now, what it may do soon and what is innately human—then redesign rather than automate around the edges.
Broaden the value case: Measure growth, quality, capacity, experience and decision improvement alongside time and cost.
Design for connection: Build purpose, leadership visibility, team relationships and employee influence into the transformation architecture.
Move from forecast to scenarios: Agree plausible futures, the workforce implications of each and the signals that should trigger action.
Develop the human premium: Prioritise curiosity, judgement, empathy, creativity, learning agility and the ability to lead AI-enabled work.
From insight to action
The Future Talent Summit’s 2026 theme was ‘From Insight to Action’. For me, the action is clear. HR must move from responding to technological change to becoming an architect of better work. That means redesigning workflows, building adaptive workforce capability and ensuring that people remain connected as organisations transform.
This is the agenda we are pursuing at AmpliTask: helping leaders understand the work, the skills and the human context well enough to make deliberate choices about where AI should automate, where it should amplify and where people must remain firmly in the lead.
The future of work will not simply happen to us. We still have the opportunity—and the responsibility—to design it.