Without a shared path, you won’t get an AI strategy. You’ll get a hundred different ways to take a gamble

Every year, the audit giant PwC goes through nearly a billion job ads from six continents and counts what employers are actually asking for. This year’s edition says three things that are hard to ignore.

The hiring of AI specialists grew eight times faster than the job market as a whole. In Sweden, around 17,000 new job ads appeared where AI knowledge is a requirement, and ads about using AI in regular jobs, not building it, increased by 71 percent in a year. And people with AI skills in their role earn, on average, 62 percent more than the same role without them.

Sixty-two percent. That’s not a salary negotiation, it’s a whole different pay grade.

The number that isn’t in the report

But the most important number isn’t in PwC’s data. It’s in your own office, and it’s probably higher than you think: the share of employees already using AI at work, on their own, in tools you didn’t choose, with accounts you don’t know about.

They’re not waiting for management to finish its AI strategy. They paste customer emails into a free service to get help with tone. They summarise meeting notes in an app they found themselves. They do it because it works, and they don’t tell anyone, because no one’s asked.

Each of them makes reasonable decisions. Together, it becomes something else. When AI is introduced without shared knowledge and without a shared place, the organisation doesn’t get an AI strategy. It gets a hundred different ways to take a gamble.

Two paths, and a choice that won’t wait

PwC sees two paths for jobs ahead. In one, the role becomes more professional: routines are automated, and people focus on what requires judgment, which shows up in their paycheck. In the other, the role gets hollowed out, because the employer never built anything shared with the technology.

The difference between the paths isn’t the technology, it’s the same for everyone. The difference is whether the organisation did something together with it or let everyone keep taking their own chances.

And time isn’t on your side here. Junior employees already face demands for judgment that used to come after ten years in the job, because AI handles those ten years of routine tasks. Managers need to be able to answer what applies. AI won’t replace leadership, judgment, and experience. But managers who understand AI will replace managers who don’t.

What you actually do about a hundred gambles

Two things, and they go together.

The first is knowledge. People who understand what the technology does well and what it does poorly take fewer chances. That’s why training, like our courses, is the right place to start for many.

The second is a shared place to use that knowledge, and that’s where we at EuroWork have spent our years. Because knowledge without a place flows back into a hundred private accounts. On a shared place, this happens instead, and you can check it in the service today: every AI answer is labelled as an AI answer, as the EU’s AI Act requires since August. The cost appears next to the answer while you work, in kronor and öre, not afterwards. And when an AI agent is about to do something, it shows its plan and waits for approval, so what’s sent always has a person’s name and responsibility behind it.

That turns a hundred gambles into something management can stand behind. Not by banning what employees are already doing, but by giving it a home with the lights on.

The question to start with

Your employees are already using AI. Do you know what they’re sharing with it?

If you can answer that, you have an AI strategy. If you can’t, you have a hundred different ways to take a gamble, and a competitor who read the same report.

Source

The numbers come from PwC AI Jobs Barometer, which is based on nearly a billion job ads from six continents.