Debunking the ‘Jobspocalypse’ – the truth is in the data 

Until a few short weeks ago, AI was becoming the default scapegoat for any CEO making job cuts. Anxiety among workers was the natural result, and while some have come out to recant their overblown warnings of a ‘jobspocalypse’, what’s far more telling isn’t the narratives coming from those at the very top - it’s how people are talking about AI behind closed doors, day-to-day.

By looking at real call and email interactions where people are buying and selling AI, one thing becomes clear: rising appetite for AI isn’t being matched by an increasing willingness to cut headcount.

If anything, it’s the total opposite - the businesses that thrive with AI will be those that use the technology to support and enhance people’s capabilities rather than view it as a way to cut salaries.

The headlines say one thing. The data says another

Looking at Gong Labs data, which synthesises tens of millions of live B2B sales conversations, mentions of AI in deals have surged by 85% since early 2024. This is unsurprising given that AI is now central to how businesses think about growth and competitive edge.

That said, this finding tells the real story: mentions of hiring over the same period have barely moved. If AI were replacing people at the scale the headlines imply, those two lines should be moving in opposite directions – yet, they aren't. That gap might be the most underreported signal in business right now.

This is backed by what you hear from sales leaders, too. Among organisations with the most mature AI deployments (the ones with AI genuinely embedded across revenue functions rather than bolted on), they report having the most aggressive hiring plans, according to a survey Gong conducted last year. The businesses going deepest on AI aren't shrinking their teams; they're building them to be ready for the AI revolution.

Tasks are disappearing. Jobs aren't

That doesn't mean the disruption isn't real. Plenty of roles were built around admin-heavy work, and that work is genuinely being automated. However, a task disappearing isn't the same as a job disappearing.

A job isn't defined as administrative work. It's defined by judgment, relationships, and the ability to read a room, none of which a technical system can fully replicate. Strip out the admin, and what's usually left is the part of the job that mattered most in the first place - human input.

Radiology is a useful sanity check here. For years, conventional wisdom held that AI would replace radiologists. The work looked formulaic, pattern-based, automatable. Instead, as imaging became faster and cheaper, the demand for radiologists has increased. AI didn't replace humans; it raised the value of their expertise.

Plenty of recent layoffs get pinned on AI when the evidence points somewhere more mundane: years of over hiring finally catching up. Framing every restructure as ‘humans versus machines’ makes a tidier headline, but it’s not an accurate one.

What growth with AI actually looks like

The challenge facing business leaders isn’t whether AI will change jobs (it will, and already has), but what that transformation looks like in practice

It's not simply smaller teams doing the same work more efficiently. The most ambitious organisations will look at how to do even more with the people they've got, and in many cases, hire quickly once those foundations are in place. As teams become more capable of taking on newer and more diverse challenges when supported with AI, that raises the ceiling for the entire organisation – not just individual departments.

There's already real interest in building AI agents that can reason through and execute multi-step work. Most businesses are still experimenting rather than running these at scale, which is the sensible place to be for now. The ones who get the most out of this next wave of innovation will be those who keep the conversation open with staff about what's actually changing, and why. Again, it comes back to these agents being teammates, not substitutes. Workers should almost see them as fresh ‘hires’ in and of themselves.

Anxiety isn’t dispelled when it’s ignored; if anything, uncertainty only compounds it. It shrinks when leaders are transparent and honest, treating the rise of AI as something to work through together with their people, rather than something imposed upon them.