Across Vietnam, two statistics are quietly reshaping how companies think about leadership. Nearly 65% of employees plan to change jobs within six months, while over three-quarters of employers say they cannot find the talent they need.

The Real Leadership Problem

These numbers aren't about shortage of people. They're about failure of leadership. Specifically, failure to design systems that attract, develop, and retain talent in an era where competition for people is fiercer than it's ever been. And where artificial intelligence is changing the requirements for leadership faster than most organizations can adapt.

Inside the Leadership in the AI Era program, we don't teach talent management. We teach founders how to redesign their talent systems. That's different. One is incremental. The other is structural.

A talent system is the entire ecosystem around how you hire, onboard, develop, and retain people. Most companies treat pieces of it separately: recruiting does recruiting, HR does retention, managers do development. None of them own the whole system. So the system breaks.

The Four Phases

A scalable talent system has four distinct phases. Each phase requires different thinking, different processes, and different leadership approaches.

Finding talent is the first phase. This isn't just job postings and LinkedIn. It's having a compelling story about who you are and why someone should care. It's knowing exactly what you're looking for, beyond the title. It's having people in your network who actively want to work with you.

Hiring is the second phase. And here's where most companies fail. Hiring isn't about selecting the best candidate from a pile of resumes. It's about assessing whether someone can do the job in your specific context, with your specific team, at your specific stage. Most interviews don't assess for that. They assess for resume fit.

Development is the third phase. The best companies don't develop people in isolation. They develop people in teams, toward specific outcomes. The person who thrives at a 50-person startup will struggle at a 500-person company without a deliberate transition. The person who excels in a feature team might struggle in a platform team. Most companies don't account for that transition.

Retention is the fourth phase. And it's not about money. Money is table stakes. Retention happens when people feel like they're getting better, being seen, and contributing to something that matters. The 65% of employees planning to leave? They're not leaving because of salary. They're leaving because they don't see growth.

Finding Talent

This starts with having clarity on what you're actually looking for. Not the job description. The person. What's their background? What's their mindset? What do they care about? What are they running toward, not away from?

The best talent doesn't come from posting jobs. It comes from having a strong network of people who want to work with you. That network is built over years. You meet someone, you impress them, you stay in touch. When you have an opportunity, they think of you.

But most founders don't build those networks deliberately. They network reactively, for fundraising or partnership. They don't network for talent. That's why they scramble when they need to hire.

The shift: treat talent networks like product distribution. You wouldn't launch a product and hope people find it. You'd have a distribution strategy. Have the same strategy for talent.

Hiring Must Shift

AI is changing hiring in fundamental ways. Not because AI tools can read resumes better. Because the people you're trying to hire are using AI to be better at their jobs. So you need to hire for their ability to use AI, not just their ability to do the work.

That changes what you assess for. You need to assess for curiosity. Can they learn new tools? Can they experiment? Do they see AI as a way to multiply their output, or as a threat? The best hires are the ones who are excited about AI. Not afraid of it.

You also need to assess for speed. In an AI-native world, the ability to iterate and learn from feedback matters more than expertise. The person who's built one thing deeply but can't adapt will struggle. The person who's built ten things, tried different approaches, and learned from failure will thrive.

Three Factors That Drive Retention

After running hundreds of interviews, I see three factors that determine whether someone stays:

Growth. Can they see themselves growing in the role? Are there clear skills to develop? Are there examples of people in the company who've grown? The companies with the lowest churn are the ones that promote from within, visibly, regularly.

Belonging. Do they have people in the company they trust? Do they feel seen? Do they feel like they're contributing to something that matters? This isn't about ping pong tables. This is about whether the work is meaningful and whether the team cares.

Autonomy. Do they have space to make decisions? Or is every decision made by someone above them? The best people leave when they feel micromanaged. They stay when they trust that their decisions will be supported, even if they turn out to be wrong.

Where AI Creates the Biggest Leadership Advantage

Most companies use AI for recruiting tools. That's fine. But the real advantage is in the system design. Use AI to automate the routine parts of talent management: scheduling, documentation, follow-up. That frees your leadership to focus on the part that matters: the human side.

AI can help with development too. It can spot when someone is struggling, by looking at patterns in their work. It can recommend learning paths. It can flag retention risks before they become exits. But the leader still needs to have the conversation.

The companies winning at talent are the ones treating it as a strategic system, not a HR function. They're designing the flow from finding to retention. They're using AI to make that system smarter. And they're holding leaders accountable for results.

Strategic Role of Leadership Development

Here's what most companies miss: you can't scale without developing leaders. And you can't develop leaders without a system to do it.

Most leadership development happens accidentally. Someone talented becomes a manager and figures it out. Some of them thrive. Most of them struggle. And many of them leave because they hated it.

The shift: leadership development is a deliberate, ongoing practice. You identify high-potential people early. You give them small leadership experiences. You coach them. You measure what matters. And you celebrate the wins.

In the AI era, leadership development also means teaching leaders how to lead AI teams. How to think about AI as a leverage point. How to hold teams accountable for outcomes, not activity. Most leaders were trained in the industrial era. They need to be retrained for the AI era.

The Bottom Line

The talent crisis isn't about supply. It's about system design. The companies that are winning the talent war aren't the ones with the biggest budgets. They're the ones with the clearest systems.

They know how to find people. They know how to assess for the right things. They create environments where people grow. They use AI to make the system smarter. And they hold their leaders accountable for the results.

If you're struggling to attract and retain talent, the answer isn't better recruiting tools. It's better talent systems. And that starts with leadership willing to redesign how they think about people.