If you look at where global skills demand is climbing fastest right now, two areas are pretty hard to ignore: artificial intelligence and cybersecurity.
According to the World Economic Forum’s Future of Jobs Report 2025, AI and big data sit at the top of the fastest-growing skills ranking, with networks and cybersecurity directly behind.
These skills are increasingly being asked of the same person.
Chief Legal Counsel, Senior Vice President of Security and Human Resources, Ivanti.
For most of the last decade, these were distinct careers.
Cybersecurity professionals attended cybersecurity conferences, earned cybersecurity certifications and worked in cybersecurity teams.
AI and machine learning sat elsewhere in data science org charts, research labs, product groups.
The two communities knew about each other. They rarely shared a calendar.
Security teams are now expected to manage AI systems
That separation has collapsed in the last 18 months or so, mostly because security teams are now expected to deploy, oversee and defend AI systems as a routine part of their work.
Research finds that 87% of security teams are prioritizing agentic AI adoption, with 77% of cybersecurity professionals comfortable letting these systems take action without human review. Adoption is happening fast. Demand for people capable of managing that adoption is growing accordingly. And the talent pool, predictably, has not caught up.
“Hybrid skills” is the operative phrase right now. Research finds that 59% of security professionals expect demand for hybrid skills to climb over the next three to five years. What hybrid means here is pretty specific. You need someone who understands attack surfaces and can also interrogate why a model behaved the way it did.
That same person has to have compliance literacy and be able to evaluate whether a deployed system is drifting from its intended behavior. And also be able to talk to engineers about adversarial inputs in the morning and to a general counsel about regulatory exposure in the afternoon.
That’s a lot of capability for one job description. But it’s what’s happening.
Active demand and under-supplied
This profile barely existed as a hiring category two years ago. Today it’s in active demand and naturally under-supplied. According to the World Economic Forum, only 14% of organization’s have the skilled talent they need to meet their cybersecurity objectives.
And that figure becomes more uncomfortable when you remember that the bar keeps moving. AI literacy is now part of meeting cybersecurity objectives. A team that was adequate 18 months ago may not be adequate now, through no fault of their own.
External recruiting is not going to be a panacea for most companies. The supply of candidates who already combine deep security expertise with AI fluency and regulatory awareness is thin enough that aggressive hiring against this profile produces long, expensive vacancies and a lot of bruised hiring managers.
Which means most companies will have to grow these professionals internally. That looks like routing existing security staff through AI literacy training, embedding compliance professionals with model engineering teams, or rotating talent across both functions deliberately enough that the hybrid skill set develops as a byproduct.
This is a longer game than most CISOs and HR leaders want to play.
A real opportunity for cybersecurity professionals
Understandably, at least on the surface. It produces dividends in 12 to 24 months, in a discipline where the threat surface changes every month.
But the alternative is worse. Continuing to hire based on the old talent profile means continuing to deploy AI systems that nobody on the security team is fully equipped to govern, which means continuing to accumulate organizational risk that compounds quietly until it surfaces all at once. And it always surfaces.
There is a real opportunity buried in this for cybersecurity professionals reading the same data. It used to be that a career path like this one would plateau around senior analyst or security architect. Now it extends into AI risk leadership, AI governance, model security and adjacent roles that essentially didn’t exist as career destinations three years ago.
If you’re a practitioner who adds AI literacy to existing security depth, you are positioning yourself for roles that are scarce, valuable and likely to remain so for at least the rest of the decade.
For employers, the takeaway probably feels less shiny, but it’s no less urgent.
The cybersecurity workforce of 2030
The cybersecurity workforce of 2030 is being trained right now, mostly by companies willing to invest in development before the market makes it cheap to hire ready-made talent.
There may not be an explosion of market talent, because they’re already in house. That means you really can’t wait around for these unicorn skill sets to hit the talent market. Instead, you have to cultivate them.
Look at your existing security and compliance teams. Find the people with curiosity about how AI systems work. Invest in them now.
The organizations that move first will be the ones best prepared to secure what comes next.
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This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.
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