Leaders who treat AI purely as a productivity tool are missing the point. Recent analysis from Anthropic shows that the decisive difference lies not in access to AI tools – but in understanding how to actually work with them. That has direct consequences for leadership, decision quality, and leadership development.
Anthropic – the company behind the AI assistant Claude – evaluated how people actually interact with AI systems as part of the Anthropic Economic Index (2026) and the AI Fluency Index (2025). The findings are both sobering and illuminating: most users formulate simple, targeted requests and tend to use AI for recurring standard tasks – rather than supporting broader, iteratively structured thinking and decision-making processes.
The analysis suggests that users associated with higher productivity and more complex tasks more frequently provide context, ask follow-up questions, and iterate – in other words, they engage in a conversation with the AI rather than submitting a single query. They use AI as a thinking partner rather than a search engine. That is precisely what is meant when people talk about AI fluency.
AI fluency is not a technical concept. It is not about training models, understanding algorithms, or mastering programming languages. AI fluency describes the ability to interact with AI systems competently, critically, and purposefully – much as one would engage with an experienced interlocutor: giving a clear brief, providing feedback, and being able to contextualise the responses.
For leaders, this means in concrete terms:
It would be convenient to file AI fluency away as an IT matter. That would be a mistake. Because Anthropic's analysis reveals something that affects leaders directly: the quality of interaction with AI reflects the quality of their thinking and their way of working. Those who cannot ask clear questions will not receive clear answers. Those who cannot structure context cannot convey it to an AI either.
That is not a criticism – it is a development task. And it connects directly to what professional leadership is actually about:
Leaders make decisions under uncertainty every day. AI can help by structuring options, thinking through scenarios, or surfacing blind spots – provided the input is good enough. AI fluency is therefore an extension of decision-making competence, not a replacement for it.
Learning to explain precisely to an AI what you need simultaneously trains the ability to express yourself clearly – to teams, stakeholders, and superiors. That is not a side effect; it is a genuine development gain.
AI can serve as a sparring partner – not because it thinks better, but because it raises questions the person has not asked themselves. Those who make use of this gain greater depth of reflection for themselves and for their team; those who ignore it leave a resource unused.
IfAI fluency is a leadership competence, it belongs in leadership development – not as a separate AI training module, but as an integrated component. That has consequences for how programmes are designed:
Showing leaders how to write a prompt is not enough. What matters is how AI use is embedded in concrete leadership situations: How do I prepare for a difficult conversation? How do I structure a decision paper? How do I reflect after a conflict? AI can be a meaningful companion in all of these situations – provided the leader knows how to deploy it.
AI fluency without critical judgement is dangerous. Leaders must be able to question AI outputs, contextualise them, and discard them when necessary. That presupposes that they themselves have a clear picture of what good leadership, good decisions, and good arguments look like. Leadership development that integrates AI fluency must therefore reinforce the substantive foundation – not replace it.
AI fluency develops through practice, reflection, and iteration – just like other leadership competencies. Small, clearly bounded routines can help: for instance, a daily ten-minute sparring session with AI on a current decision or conversation topic, followed by a brief reflection on what the AI actually contributed. It is important to set clear boundaries here: data security, the quality of information sources, and accountability for the final decision all rest with the human. Programmes that support leaders in building such routines have a more lasting effect than one-off workshops.
AI fluency does not stop at one's own competence. Leaders who have learned to interact competently with AI face a second task: enabling their people to do the same.
This happens on two levels.
Leading by example: Those who visibly practise AI fluency in their own day-to-day work – for instance, openly sharing in a team meeting how they used AI to prepare a decision, or where an AI output led them to a better question – lower the threshold for others. Even more effective is talking openly about one's own failures: the prompt that did not work. The answer that led in the wrong direction. This openness creates psychological safety – and it is psychological safety that makes genuine team learning possible. People do not need a perfect instruction manual to start working with AI. They need the signal that experimentation is permitted and that failure is part of the process.
Structural enablement: Beyond this, leaders can actively create space: scheduling time for experimentation, introducing shared reflection sessions in which teams discuss what worked with AI – and what did not. No elaborate programme is required, just a culture in which learning with AI is part of everyday work.
The decisive difference does not lie in whether people have access to AI tools. It lies in whether their leader shows them how to actually work with them.
Professional leadership is a learnable discipline with clear tasks, tools, principles, and accountability. AI fluency adds to that picture: not as a technical add-on qualification, but as a new dimension in working with a powerful tool.
AI does not replace a leadership personality. It does not replace relationships, accountability, or judgement. What it can do: help leaders structure their thinking more quickly, reflect more deeply, and enter difficult situations better prepared – and clear the same path for their teams.
If you would like to build AI fluency into your leadership development, I am happy to discuss which steps make sense for your organisation. Book an initial conversation.
Source note: The referenced study draws on Anthropic's analysis of usage patterns and productivity effects among Claude users – in particular the Anthropic Economic Index and the AI Fluency Index Report (2025/2026).