We’ve Started Using AI. Now Leadership Needs to Prepare for What Comes Next
We’ve Started Using AI. Now Leadership Needs to Prepare for What Comes Next
AI adoption is accelerating across organisations, but learning to use the technology may be the easier part. The bigger challenge is what comes next: how do we lead when the future evolves faster than we can predict? For leaders accustomed to building alignment through dialogue and consensus, this raises an intriguing tension. The AI era may require us to act more boldly while becoming more humble about what we know.
Key takeaways
Shifting from simply adopting AI to actually changing how organisations work will be much harder than just bringing in new AI tools.
Since waiting for certainty could become risky, future leaders will need to be brave enough to make decisions even when they do not have all the information.
Being ready for AI should also mean preparing leaders, not just focusing on technology skills.
This summer, I joined several talks about AI and leadership. What stood out to me wasn't only the topics, but where the conversations began. Most of the focus was on how leaders and employees are using AI right now: writing better prompts, automating routine work, boosting productivity, and saving time. This makes sense, and Sweden is moving fast, already leading in business AI adoption in Europe. According to Eurostat, 25% of Swedish companies with at least ten employees were using AI in 2024, putting Sweden among the top performers in the EU. Sweden also saw the biggest year-over-year jump in AI adoption, according to recent research by ec.europa.eu and ebs.publicnow.com.
In the organisations I work with, I notice the same pattern. Leaders and employees are trying things out, learning, and finding useful ways to use AI in their daily work. This is important, but it is also the easier step. Getting started with AI is pretty straightforward, and the benefits show up right away. Reports can be written in minutes, meetings can be summarised automatically, and analyses that used to take hours now take seconds. This corresponds with what I see everywhere: people are learning and experimenting with AI in practical ways. It matters, but it is still the easy part.
“If AI changes work, organisations and business models, how will it need to change leadership itself? Not how leaders use AI, but how they lead in a world increasingly shaped by it.”
Beyond productivity
The tougher discussion begins when we look beyond just getting more done. As we move away from using AI only for single tasks, things become less clear.
What will happen when AI starts to change whole jobs instead of just single tasks? What skills will organisations need in five years? Which services will customers still want? How could competitive advantage shift? And what should the organisation look like? We do not have the answers yet, and maybe that is exactly where leaders need to start talking.
When I talk with CEOs, HR leaders, and colleagues in leadership assessment and organisational psychology, I keep coming back to one question: “If AI changes work, organisations and business models, how will it need to change leadership itself? Not how leaders use AI, but how they lead in a world increasingly shaped by it.”
Leadership itself
What skills will leaders need when organisations are always adapting instead of changing every so often? How can leaders build trust when smart systems are making more decisions? What does leadership look like when teams mix human skills with AI? And how do leaders make good choices when there is more information and faster change than ever before?
These are not questions for some far-off future. Leadership teams should be thinking about them now, not because we can predict everything, but because we can already see big changes happening.
We have been here before but never at this speed
Past changes have taught us something important. The organisations that did well with digitalisation, globalisation, and new ways of working were not the ones that waited for everything to be clear. They got ready while the future was still uncertain. They built new skills early, questioned old ideas, and understood that leadership would decide if the change worked.
I think the same will happen with AI. Many organisations are putting a lot of effort into building AI skills right now. But are we also taking enough time to ask if our leadership skills and even our leadership structures are ready for what is coming?
It does not take long to teach people how to use AI tools. But rethinking leadership for an organisation formed by AI is much harder. Maybe that is the real challenge: getting ready means making decisions before we have all the answers.
A leadership both bold and humble
AI brings a tough question: how do we get everyone on board with a future that none of us can fully see yet?
It is hard to agree on structures that do not exist yet, or to invest in skills that might be important tomorrow but seem unnecessary today. So, it is tempting to wait - wait for the technology to develop, wait for competitors to act, wait until we know which roles and business models will last. But that kind of certainty probably will not come. When technology is changing so quickly, choosing to wait for certainty is a decision in itself.
After several conversations this summer, one idea stuck with me: the next generation of leaders might need to be both braver and more humble. They will need to be bolder because they will have to make decisions without knowing everything. Sometimes, they will need to act before everyone agrees and invest in new skills before it is clear they are valuable. But they will also need to be more humble, because no CEO, consultant, researcher, or technology provider can say for sure what organisations will look like in 2030 with AI.
“The less certain the future is, the more important trust becomes. Trust built on honesty, openness, consistency, and a willingness to learn.”
So, leadership credibility may not come from being the person who claims to have all the answers. Instead, it might come from being able to say: “I don’t know exactly what the future looks like. Neither do you. But we know enough to start preparing for it together.”
This calls for a different kind of confidence, not confidence in being certain, but in being able to handle uncertainty. It means being open about what we assume, making space to try new things, changing course when new evidence appears, and including employees, boards, customers, and other stakeholders in conversations about a future that is still forming.
Strangely enough, the less certain the future is, the more important trust becomes. Trust does not come just from being sure; it comes from honesty, openness, consistency, and a willingness to learn.
From AI adoption to leadership readiness
Most organisations are putting a lot of effort into building AI skills right now. But just as important is the question of whether we are also preparing our leaders enough.
It takes much longer to develop leaders who can make big decisions in turbulent times, keep trust during constant change, and keep reshaping organisations than it does to teach people how to use new technology.
The goal is not to predict exactly what will happen next, because that is impossible. Instead, we need to build organisations and leaders who can succeed in many different futures. I believe the key leadership skill in the AI era will be having both the courage to act without certainty and the humility to admit we do not have all the answers. How can we make sure we have the right leaders for a future which is changing so quickly? I would love to hear your thoughts!
Questions I believe leadership teams should be asking
Are we preparing our leaders for AI adoption, or for the organisational change that will follow?
Where might our desire for certainty or consensus be slowing necessary experimentation?
Which leadership capabilities will matter if persistent adaptation becomes the norm?
How do we preserve trust while openly acknowledging that we do not yet have all the answers?
Alumni Global has deep experience supporting technology-driven organisations in identifying and assessing senior leaders who can connect technical expertise with business impact. Across executive search, leadership advisory and board services, we help clients find leaders who understand the fast-changing demands of AI, data, cybersecurity, digital transformation and scalable growth.
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Ylva has 25 years’ experience from commercial roles in different industries and company structures, in the Nordic region and more than 15 years experience from leadership roles. Today her focus lies within Alumni Global’s strategic business development, being a part of the management team heading strategy and innovation, including branding, marketing and IT.
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