There’s no shortage of conversation about the race for AI talent. Employers want people who can confidently use AI, and workers understand that AI skills are becoming increasingly important for their careers.

Our latest Indeed and YouGov survey confirms that demand is growing. But more importantly, it suggests that while workers are willing to embrace AI, the challenge is that they are largely being asked to figure it out on their own.

The numbers illustrate just how quickly expectations are shifting. Nearly half (45%) of employers are actively looking for AI-native talent. Yet only 19% of workers see themselves as “AI native”. At first glance, that looks like a significant skills gap.

Workers are ready—but they’re self-teaching

The most encouraging finding in our survey is that workers aren’t pushing back against the technology. More than seven in 10 workers say they’re already experimenting with AI on the job and only 8% say they don’t have time to learn. This tells us that workers are eager to learn and understand that AI is becoming an important part of work, with many already taking the initiative to build those skills.

The survey also reveals a generational divide. Younger workers report much higher confidence using AI than older generations, suggesting AI fluency will continue to grow as new workers enter the labor market. But organizations can’t afford to wait for demographics to solve today’s challenges. AI is evolving much faster than the workforce itself.

AI fluency is shifting from a niche technical skill to a core career requirement, much like digital literacy became over the past two decades. But becoming AI-ready doesn’t require every worker to become an engineer or every employer to compete for a limited pool of AI-native talent.

What does this mean for employers? 

It may be time to rethink what “AI-ready” really looks like. Hiring AI-native talent will always be important for some roles, but most organizations won’t close the gap through recruiting alone. The bigger opportunity is helping existing employees build AI fluency in ways that are practical and relevant to the work they do every day. It means giving people opportunities to experiment, providing role-specific training, establishing clear guardrails, and helping employees understand not just how to use AI, but when to use it.

What does this mean for workers? 

You don’t need to be an AI native to stay competitive. In fact, our survey suggests many people are already on the right path. The next step isn’t mastering every new AI tool that comes along. It’s developing the judgment to use AI thoughtfully and evaluate its output. Curiosity, adaptability, and a willingness to keep learning may prove just as valuable as technical expertise.

The AI skills gap isn’t ultimately about technology. It’s about opportunity. Workers are ready to learn. Employers have an opportunity to meet them there.


Editor’s note:

  • AI native refers to individuals who are highly skilled and comfortable with AI technologies, and who fundamentally default to AI to design, execute and scale their workflows end-to-end. 
  • AI fluent refers to individuals who show mastery using AI technologies across various dimensions of their workflows, but who don’t always default to implementing AI over established legacy processes. 

1Indeed survey with YouGov, U.S., N=1,301, May 2026 (1,001 job seekers; 300 hiring decision-makers at 500+ employee organizations), fielded May 22–June 2, 2026.