I started my career studying linguistics, the science of language. For years, I explored how words shape meaning, how context alters interpretation and communication influences human connection. Linguistics at its heart is the study of how humans construct and negotiate reality through words.
What I did not fully grasp until later in my career was how relevant this would become once I started working with agile principles and supporting organisations through change. It’s not only that organisations evolve like language does; it’s that leaders drive change primarily through the words they choose, often without realising it.
Linguistics taught me how language adapts. Agility taught me how organisations respond to uncertainty. When I put those two lenses together, something clicked. Both language and agility thrive on responsiveness, collaboration, and constant adjustment. Both rely on feedback, experimentation, and learning as you go. And both break down when we try to freeze them into rigid systems.
Language isn’t just how leaders communicate decisions. It’s how they shape culture, build trust, and keep people moving when things feel uncertain. And now, in a world where we speak daily not just to people but to intelligent systems powered by language, the stakes are even higher. The way leaders speak actively shapes how teams think, act, and adapt.
The Agility of English
Language is alive. Just like organisations, it changes to survive.
English, in particular, is remarkably agile. From Shakespeare who is believed to have coined more than 1,700 words, to today’s boardrooms where pivot, sprint, and iteration are everyday language, English has a long history of evolving to meet new demands.
It does this by borrowing. English absorbs words, structures, and meanings from wherever it needs them. That openness is what makes it flexible, resilient, and hard to break (Crystal, 2003). Halliday’s (1978) systemic functional linguistics argues that language evolves in response to new communicative demands. Organisations that succeed under pressure behave in much the same way. They experiment, borrow ideas, adapt practices, and let go of what no longer works.
Words survive because people find them useful. If a word doesn’t help us communicate, it fades away. That’s iterative testing in action. Agile teams work the same way: they try things out in the real world, keep what works, and change what doesn’t.
Here’s where this matters for leaders.
You can’t ask teams to be adaptive while using rigid, controlling, outdated language. That creates friction fast. Just as a language only stays alive when people actually use it, an agile culture only survives when leaders live it, especially in how they speak and listen.
Language Is a Leadership Skill
Leadership isn’t just about decisions. It’s about what your words do.
Research in organisational psychology shows that leaders’ choice of language directly shapes trust, alignment, and motivation (Fairhurst & Connaughton, 2014). When leaders promise, invite, challenge, or ask questions, they’re not just sharing information. They’re setting expectations, shaping relationships, and opening or closing possibilities for their teams (Austin, 1962).
Take pronouns. Something as small as saying “we” instead of “I” changes how responsibility feels. “We” signals shared ownership. “I” reinforces hierarchy (Holmes and Stubbe, 2003). These tiny choices affect trust, motivation, and how safe people feel stepping forward during change.
Framing matters just as much. Grice’s (1975) cooperative principle reminds us that how something is said shapes how it is interpreted. Compare “Do this.” And “What could we try?”.
One shuts conversation down. The other opens it up. In agile environments, that difference is huge. The second creates space for learning, experimentation, and honest dialogue, which is exactly what teams need when outcomes aren’t certain.
Metaphors, Clichés, and Why Language Gets Stuck
Metaphors shape how people think (Lakoff and Johnson, 1980). When leaders speak of “navigating a storm” or “building bridges,” they provide mental models that help teams make sense of complexity.
But metaphors wear out.
When the same phrases are used over and over, they stop helping people see anything new (Tannen, 1990; Coupland, 2007). They become verbal wallpaper. Comfortable, familiar, and limiting.
For leaders driving transformation, this matters more than it seems. Stale language leads to stale thinking. Agile leadership means knowing when familiar language helps, and when it’s time to refresh it so teams can imagine new possibilities.
Politeness, Silence, and Psychological Safety
How leaders speak (and when they don’t) directly affects whether people feel safe. Pragmatics, the study of language in context, highlights how meaning is shaped by social relationships. Brown and Levinson’s (1987) politeness theory shows how linguistic choices protect “face” and enable collaboration. In leadership contexts, these choices underpin psychological safety.
Stories matter (Gee, 2014). They’re how people make sense of why change is happening and where they belong in it. Leaders who connect strategy to real experiences help teams see meaning, not just milestones (Denning, 2011).
For example:
“We’re moving to a new operating model to improve efficiency and scalability. This will help us respond faster to market demands”.
This is clear, rational and emotionally flat. A story-based message would read something like:
“Last year, a customer waited three weeks for a fix because our teams had to hand work off five times. Everyone did their job, but the system slowed us down”.
This change is about removing those handoffs, so that next time a customer needs us, the team closest to the problem can act immediately.
Silence matters too. In high-pressure moments, leaders often feel the need to fill every gap with answers. But deliberate pauses and genuine listening can do more to build trust than another explanation (Heritage and Clayman, 2010). Silence, used well, tells people: you’re heard.
Imagine, a transformation programme has just been announced in a team meeting, somebody asks:
“Are our roles safe once this change is fully implemented?”
Instinctively as a leader you may jump in immediately to provide reassurance with a response such as:
“There’s nothing to worry about right now. We’re still working through the details, but this will be good for everyone.”
The gap is filled, but the question isn’t really heard. Anxiety goes underground. A deliberate silence would build trust. If the leader in this situation takes a deliberate pause to allow the question to sit for a few seconds and then responds with something such as:
“That’s an important concern. Before I answer, I want to hear what’s behind the question. What are people most worried about?”
The pause signals the question matters, and the follow-up shows the willingness to listen, not to just manage the message.
Language isn’t background noise. It’s one of the main ways teams decide whether uncertainty feels manageable or threatening.
Language, Leadership, and AI
Today, language is also how leaders work with intelligent systems.
Large Language Models (LLMs) are built on principles familiar to linguists: they are trained on vast amounts of text to detect patterns, frequencies, and associations. The words used in prompts carry assumptions, values, and biases just like human communication does. That makes language a technical skill and an ethical one.
The same principles apply here as with people. Clarity matters. Context matters. Intent matters. Even tone can change outcomes.
Prompting AI isn’t separate from leadership. It’s an extension of it. Leaders who understand how language shapes human collaboration are better prepared to work responsibly and effectively with intelligent systems.
Language and Teamwork in Transformation
Teams don’t just align around goals. They align around language.
Shared words, shared meanings, and shared ways of speaking build trust. In agile teams, rituals like stand-ups and retrospectives are really about shaping a common language. When teams agree on what “done” means or choose “experiment” instead of “failure”, they change how risk and learning feel.
In global teams, this becomes even more important. English works as a shared language not because it’s fixed, but because it’s flexible. Leaders should recognise this can turn linguistic diversity into strength rather than friction (Jenkins, 2007; Seidlhofer, 2011).
What to Take Away and What to Do Next
This article makes one thing clear: language is not a soft skill in leadership; it is a core capability. The words leaders choose everyday shape trust, psychological safety, learning, and adaptability, especially during transformation and in an AI-enabled world.
Three things leaders can put into practice immediately:
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Notice your language under pressure. In moments of uncertainty, your words signal whether change feels safe or threatening. Small shifts in framing, pronouns, and tone make a big difference.
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Use language to invite learning, not compliance. Replace judgement and certainty with curiosity and experimentation. This is how teams stay engaged and adaptive.
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Treat language as part of your leadership toolkit. How you frame conversations, stories, and prompts directly affects outcomes. With people and with AI.
If this article resonated, the next step is not to read more but to practice. Agile leadership is learned through doing, reflecting, and learning with others.
Join our thriving communities and learn alongside peers navigating similar challenges or explore learning and leadership development at your own pace through our online learning courses.
Turn insight into action. Turn language into leadership.
References
Austin, J.L. (1962) How to Do Things with Words. Oxford: Clarendon Press.
Brown, P. and Levinson, S.C. (1987) Politeness: Some Universals in Language Usage. Cambridge: Cambridge University Press.
Coupland, N. (2007) Style: Language Variation and Identity. Cambridge: Cambridge University Press.
Crystal, D. (2003) The Cambridge Encyclopedia of the English Language, 2nd edn. Cambridge: Cambridge University Press.
Denning, S. (2011) The Leader’s Guide to Storytelling: Mastering the Art and Discipline of Business Narrative, 2nd edn. San Francisco: Jossey-Bass.
Fairhurst, G.T. and Connaughton, S.L. (2014) ‘Leadership: A communicative perspective’, Leadership, 10(1), pp. 7–35.
Gee, J.P. (2014) An Introduction to Discourse Analysis: Theory and Method, 4th edn. London: Routledge.
Grice, H.P. (1975) ‘Logic and conversation’, in Cole, P. and Morgan, J.L. (eds) Syntax and Semantics, Vol. 3: Speech Acts. New York: Academic Press, pp. 41–58.
Halliday, M.A.K. (1978) Language as Social Semiotic: The Social Interpretation of Language and Meaning. London: Edward Arnold.
Heritage, J. and Clayman, S. (2010) Talk in Action: Interactions, Identities, and Institutions. Chichester: Wiley-Blackwell.
Holmes, J. and Stubbe, M. (2003) Power and Politeness in the Workplace: A Sociolinguistic Analysis of Talk at Work. London: Longman.
Jenkins, J. (2007) English as a Lingua Franca: Attitude and Identity. Oxford: Oxford University Press.
Seidlhofer, B. (2011) Understanding English as a Lingua Franca. Oxford: Oxford University Press.
Tannen, D. (1990) You Just Don’t Understand: Women and Men in Conversation. New York: William Morrow.