There was a time, not so long ago, when being brilliant with numbers was all you needed. Back in 1980, if you were strong on the technical side but not exactly a people person, the job market rewarded you handsomely. You could sit quietly at your desk, crunch data, and earn a very good living without ever having to charm a room (and to be honest, they were probably actuaries when no-one knew what an actuary was!)
But that is no longer the case. A study by Harvard economist David Deming showed that jobs requiring strong social skills had been growing faster in both employment and pay since the 1980s, while roles that relied purely on mathematical ability had stagnated or declined.
The rules of career success have changed, and social skills are now a major part of the equation.
For decades, being able to write code or build a financial model was a scarce and well-paid ability. But generative AI tools have made those once-rare skills far more accessible. Today, someone with a basic understanding of a problem can use AI to produce working code, run data analysis, or draft a technical report in minutes.
When everyone has access to the same toolkit, the market price of purely technical output drops. It’s a bit like the shift from handwriting to typing. Once typing became universal, nobody paid a premium for it anymore.
So, what can’t AI do well? Communication, for a start. The ability to read a room, persuade a sceptical client, or coach a struggling team member remains firmly in human territory. Collaboration, leadership, and judgement, the kind of thinking that involves weighing incomplete information and making a call, are all areas where machines fall short.
Creativity matters too, particularly the messy, real-world kind. Solving problems that don’t have a clean answer, working across teams with competing priorities, and adapting on the fly are things that AI simply isn’t built for.
It’s worth noting that employers are already changing their language around these abilities. As the CFA Institute reports, HSBC’s Head of Talent for Asia Pacific, Lara Partridge, has pushed to drop the term “soft skills” entirely, calling them “human skills” instead. Others have started using “power skills” or “essential skills.”
Where the real strength of tech workers has always been is something that often gets lost in the conversation about AI replacing jobs: the best tech professionals were never just writing code. They were generating ideas, building teams, and solving problems creatively. The code was a means to an end, not the end itself.
Occupations that combine technical chops with strong interpersonal skills have always been the highest performers. A software developer who can translate a client’s vague brief into a working product, or a data analyst who can present findings in a way that changes how a business operates, those are the people who get promoted.
As AI automates the “writing formulas” part of the job, professionals would do well to reframe their identity. You’re not a coder. You’re a problem-solver who happens to use code. That distinction is becoming more relevant by the day.
So how do you future-proof your career? Here are some practical steps.
First, invest in communication and relationship-building alongside any technical learning. Red Hat’s guide to human skills for the AI era highlights critical thinking, emotional intelligence, and teamwork as the areas most worth developing right now. These aren’t skills you pick up from a weekend course. They take practice and intentional effort.
Second, seek out roles and projects that involve cross-team collaboration and decision-making. The more experience you have working with different people, managing competing interests, and presenting ideas clearly, the harder you are to replace.
The key thing to remember, especially from a recruiter’s perspective is that people skills are your competitive edge and the shift to this realisation is already happening. Roles that involve working with people, making decisions, and generating ideas are becoming more sought after, not less. The professionals who thrive in the coming years will be those who can interpret technology, tell a story, and inspire action.
Building social skills isn’t just a bit of career advice. It’s a long-term strategy for staying relevant in a world where the technical playing field is being levelled by the month. And if there’s one thing AI can’t do, it’s being genuinely, authentically human.
At Orange Malone, we cover topics like this regularly, helping you stay ahead of the trends that are shaping the way we work (and we’d love to help you with that).
