It's easy to get lost in the flood of AI articles right now. Every day there's a new tool, prediction, or warning. A recent piece in Harvard Business Review made a point worth sitting with: for leaders, the real challenge is not the technology, it's how we lead our teams through the change.
As a founder building an AI-powered hiring platform, I've spent the last two years wrestling with these exact questions. The HBR article identified five critical skills for modern leaders. Here's my take on what each one looks like in the real world, from someone who loves tech and spent 17 years in recruiting before this.
1. Span organizational boundaries
The HBR article talks about the need for leaders to build diverse networks and expose their teams to new ideas. I couldn't agree more. Expertise used to sit in silos. Today the most valuable insights come from connecting dots across different industries and functions.
For me, this is the entire philosophy behind our Product Advisory Board. We are intentionally bringing together HR leaders, tech influencers, and hands-on recruiters, so that feedback on the product arrives alongside a space where these different worlds collide and spark new ideas. Real innovation happens at the boundaries.
2. Redesign organizations
The article correctly points out that bolting AI onto old workflows is a recipe for failure. This is a point I'm passionate about. You can't get the value of AI without being willing to change how you work.
I think that starts with redesigning our definition of a job, not just our processes. For decades, we've hired people for static job titles. Today roles are fluid collections of skills. The real work of a leader is to become an architect of talent, constantly asking: what are the core skills we need to succeed, and how do we combine them to solve the next big problem? That question is what led us to build Ratio.
3. Orchestrate team collaboration
Treating AI as a flexible teammate is a powerful idea, and I've seen it firsthand. I'm not a developer, but I've vibe coded entire applications by working alongside an AI. It's a real partnership. The AI brings the technical execution. I bring the strategic direction, the context, and the ability to spot a problem when the logic doesn't feel right.
This is the future of teamwork. A leader's job now extends past managing people into orchestrating a complex collaboration between human expertise and machine intelligence. The goal is a system where each side does what it does best and gets to a result neither could reach alone.
4. Coach and develop talent
The shift to AI means many of the grunt-work tasks are disappearing. That frees teams up for higher-value work: strategy, creativity, complex problem-solving.
That transition doesn't happen on its own. As leaders, our role has to shift from inspecting work to coaching skills. We need to get specific about the skill gaps on our teams and provide the resources and support for people to learn and adapt. The most valuable leaders in the next decade will be the best teachers.
5. Lead by example
The HBR piece notes that many senior leaders are excited about AI and don't actually use it much themselves. That's a huge mistake. You cannot lead a transformation from the sidelines.
My own work with AI started with simple daily experiments. I used it to draft content, brainstorm marketing ideas, and write code. I created a custom assistant to help onboard my recruiters, trained on the knowledge I'd collected in my head over many years. I tested prompting strategies and eventually built a large repository of the ones that worked. I made mistakes. I created a lot of workslop. I slowly learned what held up.
That hands-on experience has been worth more than any briefing. It gave me the fluency to lead my team, the ability to spot real value, and the credibility to talk about this technology with our partners and customers.
If you want your team to embrace AI, you have to show them how.
From theory to practice
AI will not deliver value because we bought the tools. It delivers value when leaders develop the skills to change how their teams work. It's a human challenge, not a technical one.
That's why we're building Ratio. Better tools to identify, assess, and develop skills give leaders a real shot at building the adaptable teams the next decade requires.
References
- Ibarra, H., & Jacobides, M. G. "5 Critical Skills Leaders Need in the Age of AI." Harvard Business Review, 2025. link
Frequently asked questions
What are the five skills leaders need in the age of AI?
Drawing on a recent Harvard Business Review piece, the five skills are: spanning organizational boundaries to connect ideas across silos, redesigning organizations rather than bolting AI onto old workflows, orchestrating collaboration between human expertise and machine intelligence, coaching and developing talent as grunt work disappears, and leading by example through hands-on use of the tools. The common thread is that AI adoption is a leadership challenge rather than a technology rollout.
Why should leaders use AI tools themselves instead of delegating adoption?
You cannot lead a transformation from the sidelines. Hands-on experimentation, drafting content, brainstorming, writing code, and testing prompting strategies, is what builds the fluency to lead a team, the ability to spot real value, and the credibility to talk about the technology with partners and customers. If you want your team to embrace AI, you have to show them how.
How does AI change a leader's role in developing people?
As AI absorbs routine tasks, the leader's role shifts from inspecting work to coaching skills. That means getting specific about the skill gaps on your team and providing the resources and support for people to learn and adapt. The most valuable leaders in the next decade will be the best teachers.
Isn't "redesigning the organization" too big a first step?
For most teams, yes. The smaller version is to redesign one role: take a job you hire for often, break it into the skills it actually needs, and mark which of those AI now handles. That is a week of work rather than a reorganization, and it tends to make the larger case on its own.
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