This is part 6 of a six-part series exploring AI, professional identity and the changing value of human expertise.
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What becomes possible when AI meets human expertise?
What could you do with AI that someone without your experience couldn’t? It is a question I have been returning to as AI becomes part of everyday professional life.
Much of the public conversation focuses on what AI can do. How quickly can it produce a report? How effectively can it summarise information? Which tasks can it automate?
These are useful questions. But they tell us only part of the story.
The more interesting question may be what becomes possible when we combine technological capabilities with the experience, curiosity and judgement that people bring.
Because access to the same technology does not automatically lead to the same outcomes.
The value of what we bring
AI tools have become widely accessible. This means that professionals across industries can use similar systems to develop ideas, organise information and explore solutions. Yet the results can differ considerably.
Imagine two people using AI to prepare a communication strategy. Both receive a structured proposal. One uses it as a starting point and refines the wording. The other draws on experience to identify missing stakeholders, question assumptions about organisational trust and explore how different groups might interpret the proposed messages. They consult colleagues, reconsider the timing and adapt the approach to the organisation’s circumstances.
Both have benefited from AI. But the second professional has used experience to deepen the quality of the work. The value comes from the combination.
Better questions create better possibilities
Experienced professionals often approach problems differently because they have learned to recognise complexity.
Someone may ask AI: “Write a change communication plan.”
An experienced communication practitioner may begin by considering:
Which groups will experience this change differently?
What does the organisation already know about employee concerns?
Where is trust strongest or weakest?
Which decisions can employees still influence?
What conversations need to happen before formal communication begins?
These questions help define the problem more accurately.
AI can then support the professional in exploring different approaches, identifying potential gaps and developing ideas.
This is an important distinction. Effective AI use involves more than knowing how to write a good prompt but understanding which questions are worth asking.
Knowing where AI adds value
Human expertise also helps us recognise where technology is most useful. Some tasks benefit from automation. Others benefit from AI-assisted exploration or analysis. And some require direct human interaction, careful judgment or decisions grounded in values and relationships.
The opportunity is to make these choices deliberately.
For example, AI might help a communication team analyse recurring themes in employee feedback, provided privacy and data protection requirements are met. That could give the team more time to speak directly with employees, explore the underlying concerns and develop a more responsive communication approach.
In this example, technology supports rather than replaces the relational work.
The value comes from designing the process thoughtfully.
From individual capability to organisational learning
There is also an organisational dimension. AI adoption becomes more valuable when organisations look beyond individual productivity and consider how work itself can improve.
McKinsey & Company’s (2025) research on AI adoption highlights the importance of redesigning workflows, developing capabilities and establishing governance to capture value from AI.
That invites leaders to ask broader questions.
How can AI help teams share knowledge? Where could it create more space for collaboration? How might it support better decision-making? What new capabilities should we develop? How will we recognise contributions that improve quality, trust and outcomes?
These questions move the conversation from using AI tools towards developing organisational capability. They also encourage organisations to consider what makes their people distinctive.
A future built on complementary strengths
Across this series, I have explored how AI is changing professional identity, expertise, judgment, experience and belonging.
A common thread connects these themes. As technology evolves, we have an opportunity to reconsider what we value in people and how we recognise their contributions. AI can help us explore possibilities, process information and develop ideas. People contribute context, relationships, ethical reasoning, lived experience and accountability. Together, these capabilities can help organisations approach complex challenges with greater insight.
That does not mean every application of AI will be beneficial. Responsible choices, appropriate safeguards and meaningful human oversight remain essential. But it does suggest a constructive way forward.
Rather than defining professional value solely through the tasks people perform, we can recognise the knowledge, judgment and relationships they bring to those tasks. And rather than asking only how AI can make existing work faster, we can ask how it might help us do more meaningful work.
That brings me back to the question that inspired this series:
What could you do with AI that someone without your experience couldn’t?
Perhaps the most promising future of work begins when we take that question seriously.#
Sources
- McKinsey & Company. (2025). The state of AI: How organisations are rewiring to capture value.
- Microsoft & LinkedIn. (2024). AI at work is here. Now comes the hard part: 2024 Work Trend Index Annual Report.
