The Leaders AI Is About to Make More Valuable Are Being Told They're Obsolete
11 August 2026 | 6 minute read
Organisations are quietly sidelining some of the leaders best equipped for the AI era. Hard-won judgement, experience of badly led change, people leadership and discernment about risk aren't outdated capabilities. They're becoming more valuable.
There's a particular kind of leader the AI shift is about to make very valuable, and right now she's being told she's obsolete.
Andrea Clarke wrote on her Substack about Gen X women being aged and AI'd out of the workforce; restructured, sidelined, filtered out by a recruitment bot before a human ever reads the CV; or jumping ship before someone takes the decision out of her hands. It's a real and offensive story, and Clarke tells it well. But there's a second story running through my head. The women being written off as too seasoned for this current era are, on the evidence, the best-equipped people in the building to lead through it.
Here's the argument, and it isn't sentiment.
Start with the scar tissue. This cohort has sat through twenty-five years of change done to them, and much of it was led badly; too fast, too top-down, with the human cost treated as an afterthought. A fair amount of it was led by men who either didn't see the damage or didn't much care. That experience usually gets filed under baggage. It's the opposite. It's the most useful training data a change leader can have, because they know, in their body, exactly what not to repeat. Ask someone who's survived three clumsy restructures how to run a good one, and you'll get a better answer than any framework will give you.
Then there's the part consistently being underrated. The AI shift is not really a technology problem. The technology is the easy bit. The hard bit is a frightened workforce, eroded trust, and hundreds of decisions about what to automate, what to humanise, and how fast to move without breaking the thing that makes the place work. That's a people problem and a judgement problem, not a tech one. And the leaders who read a nervous room accurately and hold people steady in spite of the ambiguity and the relentless pace; tend to be the ones who were paying attention to people all along.
Add one more capability that's suddenly worth a great deal. Discernment about risk. This era rewards the person who can tell the difference between a shortcut and a landmine. Caution is being reframed as slowness right now, which is a mistake. In a period where one bad automated decision can cost trust you simply can't buy back, the leader who sees the risk before it lands isn't the brake on progress. She's the reason there's still a business to progress.
So put those together; hard-won judgement about change, genuine capability in leading and caring for people, a sharp eye for risk; and you have a fairly precise description of what leading well through complex uncertainty requires. Not despite the twenty-five years. Because of them.
Now, the so-what, because a flattering description of a cohort is worth nothing without one. For the organisations easing these women out (or making them feel like they have no choice but to self select): you are misjudging your own talent, badly. The capability you're about to hire in at a premium, is sitting on your payroll right now. That's not a diversity point. It's a competence point, and a commercial one.
And for the woman reading this who's felt the ground shift, who's wondered whether the AI age is where her career runs out of road, the reframe matters even more. The instinct is to survive the shift, keep your head down, prove you can still keep up. That's the wrong game. The right one is to recognise that the market is about to pay a premium for precisely what you've spent a career building, and to position for that now, deliberately. Stop bracing. Start showing up like the most qualified person in the room, because on this particular problem, you likely are.
For the first time in years, the change everyone fears is on your side. The only real question is whether you'll claim the moment or keep waiting to be chosen.
Key Takeaways
The AI transformation isn't primarily a technology challenge. It's a leadership, judgement and trust challenge.
Experienced leaders carry valuable “scar tissue” from decades of organisational change; including first-hand knowledge of what happens when transformation is rushed or poorly led.
AI adoption requires judgement about what to automate, what to humanise and how quickly an organisation can move without damaging trust.
Reading a nervous workforce and leading through ambiguity are increasingly valuable capabilities, not outdated leadership traits.
Discernment about risk shouldn't be confused with resistance to change; sometimes the person applying the brakes is preventing an expensive mistake.
Organisations risk removing experienced talent only to later buy the same capabilities back at a premium.
For experienced women, the opportunity isn't simply to prove they can keep up with AI; it's to position their judgement and change leadership experience as an advantage in the AI era.
Frequently Asked Questions
What leadership capabilities are most important during AI transformation?
AI transformation requires more than technical capability. Leaders need judgement, change leadership experience, trust-building skills, risk discernment and the ability to help people navigate uncertainty. The challenge is not simply deciding what technology can do, but what an organisation should automate, what should remain human and how quickly change can be absorbed.
Why can experienced leaders be valuable during AI adoption?
Experienced leaders have often lived through multiple restructures, technology implementations and organisational transformations. That experience can help them recognise patterns, anticipate unintended consequences and distinguish between productive disruption and change that risks damaging trust, capability or performance.
Is caution about AI the same as resistance to change?
No. Healthy challenge and risk discernment are important leadership capabilities. The question isn't whether a leader is cautious, but whether that caution improves decision quality. During rapid AI adoption, identifying a potential consequence before implementation can prevent costly mistakes.
What role will human judgement play as organisations adopt more AI?
As AI takes on more analysis, administration and routine decision support, human judgement may become more, not less, important. Leaders still need to interpret context, weigh competing risks, understand human consequences and make decisions where there is no objectively correct answer.
Additional Resources
About Louise
Louise Zawada is an executive coach, change strategist and leadership mentor based in Perth, Western Australia.
She works with senior leaders and executive teams navigating complex organisational change, helping them close the gap between strategy and execution by strengthening executive judgement, reducing leadership friction and improving the quality of conversations that drive performance.
Her work spans mining and resources, government, infrastructure and corporate organisations, where she coaches leaders to make better decisions under pressure, build trust through uncertainty and lead change with greater confidence and clarity.
Louise is the creator of the Leadership Friction framework and writes regularly on executive judgement, organisational legibility and the behavioural evidence that determines whether strategy becomes action.
If you're leading significant change and need a trusted thinking partner, connect with Louise or book a conversation.