March 18, 2026

AI, innovation and the changing nature of work: Key takeaways from a fireside chat with Kate Smaje

A recent discussion with senior leaders explored how AI is reshaping organisations, not by replacing roles, but by enabling better, higher-impact work.
From rapid adoption to shifting skill priorities, the conversation highlighted a broader shift toward more collaborative, creative and human-centred ways of working.

Last week, industry leaders, founders and operators gathered at Techspace in London for an evening discussion exploring one of the most pressing questions facing organisations today: how artificial intelligence is reshaping the way we work.

The conversation brought together senior technology and AI leaders from global professional services firms alongside a community of senior executives, founders, operators and investors.

What emerged was a nuanced picture of how AI is already transforming organisations, not through wholesale replacement of jobs, but through new ways of working, learning and creating value.

From productivity gains to better work

One of the most consistent themes was that AI’s greatest impact so far has not been simple efficiency gains, but enabling people to do better work.

Across organisations experimenting with generative AI, teams are increasingly using tools and internally built agents to accelerate research, synthesise information and structure thinking. While this can reduce time spent on certain tasks, the bigger opportunity lies in reinvesting those gains into deeper analysis, creativity and problem solving.

In practice, this means people are completing work faster while expanding the scope of what they can deliver. Rather than shrinking roles, the technology is allowing teams to raise the bar on quality and impact.

For many organisations, this shift is already visible in outcomes. Teams that are embracing AI tools most actively are often the same teams delivering stronger results.

Adoption is happening faster than expected

Another striking takeaway from the conversation was the speed at which AI adoption is spreading within organisations.

When many companies first rolled out internal AI capabilities, leaders assumed it would take months, or even years, for large portions of the workforce to incorporate them into daily workflows. In reality, adoption has often been far quicker.

Once tools demonstrably improve how people work, uptake becomes organic. Employees experiment, share what they have built and quickly introduce new approaches to colleagues. This “viral” pattern of learning has proven far more effective than traditional top-down change programmes.

Instead of lengthy training programmes, organisations are finding that peer-to-peer learning, colleagues sharing practical examples of what works, drives far faster adoption.

The “thirds” of organisational change

The discussion also touched on a familiar dynamic seen in many technology shifts: people respond differently to change.

In most organisations, employees broadly fall into three groups:

  • The pioneers - those eager to experiment and push boundaries with new tools
  • The observers - individuals interested but waiting to see proven examples
  • The sceptics - those slower to engage because it is not yet a priority for them

The key insight for leaders is that transformation does not require universal adoption from day one.

If organisations enable the first group effectively, giving them tools, guardrails and space to experiment, their successes naturally influence the second group. Over time, this momentum can shift the culture without forcing change across the entire workforce simultaneously.

Rethinking the skills that matter

Perhaps the most profound implication of AI is the changing nature of valuable skills.

Historically, many organisations placed heavy emphasis on analytical ability, quantitative skills and structured problem solving. While those capabilities remain important, AI systems are increasingly capable of performing many of these tasks rapidly and at scale.

As a result, human value is shifting toward areas where technology still struggles:

  • Conceptual thinking
  • Connecting disparate ideas
  • Judgement and interpretation
  • Creativity and synthesis

In other words, the ability to frame problems, challenge assumptions and generate original insight is becoming even more critical.

Rather than replacing human thinking, AI is amplifying the importance of uniquely human capabilities.

Learning is becoming collaborative

Another emerging shift is how organisations think about learning and development.

Traditional training models (formal courses, certifications and structured curricula) can struggle to keep pace with rapidly evolving AI tools. Instead, many organisations are seeing greater impact from collaborative learning cultures.

Employees who experiment with new tools share what they discover with others. Teams build libraries of prompts, workflows and internal agents that colleagues can reuse and improve.

This collective approach to learning not only accelerates adoption but also encourages curiosity and experimentation across the organisation.

The identity question

The audience discussion raised a deeper question about professional identity in an AI-enabled world.

If technology can now perform tasks once central to many roles, from coding to research to drafting complex documents, how should individuals think about their professional identity?

The consensus in the room was that identities built purely around tasks may become less stable. Instead, people may increasingly define themselves by broader capabilities: problem solving, creativity, leadership, or the ability to connect ideas across domains.

In that sense, AI may push professionals to rediscover the deeper value they bring beyond technical execution.

A moment of reinvention

The evening concluded with a sense that AI represents less a single technological shift and more a broader moment of organisational reinvention. Workflows are evolving. Skills are shifting. Learning is becoming more collaborative. And individuals are being pushed to rethink how they contribute.

While many questions remain, about roles, careers and the future of work, the message from the discussion was ultimately optimistic. Used thoughtfully, AI is not simply a tool for efficiency. It is a catalyst for expanding what people and organisations are capable of achieving.

At The Movemeon Group, we work with organisations and leaders navigating exactly these kinds of shifts, helping them access the talent and expertise needed to drive transformation.

If you’d like to continue the conversation or explore how The Movemeon Group can support your organisation, get in touch with our team.

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