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A Decade Of Wage Stagnation Could Be AI’s Biggest Threat To Workers

Job losses may dominate the AI debate, but stagnant salaries could affect far more workers as automation weakens employees' bargaining power and employers' incentives to retain talent.

John MargerisonbyJohn Margerison
October 16, 2026
in Workforce
Reading Time: 5 mins read
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A Decade Of Wage Stagnation Could Be AI's Biggest Threat To Workers

Companies could face less pressure to offer raises and competitive salaries if AI can fill capacity gaps left by departing workers.

What if I told you the real threat from AI wasn’t job losses? I know that might sound ridiculous. Especially when one glance at the news suggests entire industries are set to be automated by companies using agentic AI rather than human employees.

But through all the noise, one of the biggest risks has slipped under the radar. The fact is, AI will cause a decade of salary stagnation.

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How AI Could Eliminate Two Major Drivers Of Wage Growth

Why will AI stall salaries? Because as AI has become more impressive, it’s begun to decimate two of the biggest drivers of wage growth: employee retention and attraction.

Employers no longer need to worry about the former because if employees leave for pastures new, AI’s able to fill the capacity gap the same day. Gone are the days when businesses were forced to scramble to find a suitable replacement, terrified that if they didn’t find someone fast, operations might begin to crumble. AI has not only eliminated that stress, but is starting to unlock efficiencies that can’t be matched by human employees, meaning sometimes, a resignation even comes as a relief.

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These agents don’t take vacations, they never get ill and, most importantly, they don’t take a salary. In fact, they will eventually end up paying for themselves. That means that annual raises, proactive promotions, or other key employee retention efforts like fast-track development programs and mentoring are no longer a necessity. AI means that, at some point in the future, managers will never come under the same sort of hiring pressure again.

The second driver, employee attraction, will, in turn, disappear. As AI reduces the need for human replacements, the hiring machine will grind to a halt. Opportunities will become oversubscribed and businesses will have to do far less to get the best talent in the door, axing the need to offer competitive salaries.

Why Graduate Salaries Could Be Hit Hardest By AI

The removal of these two wage-growth drivers will impact every worker, across all sectors, but the consequences will be most grave across graduate salaries. Because these roles are often focused on the information-processing tasks that AI is so good at, they’ll inevitably be the first to feel wage growth slow and then, eventually, stop.

A recent report from High Fliers indicates that this is already becoming a reality. Median graduate salaries have risen steadily over the past five years, but in its analysis, the organization predicts this trend will end in 2026.

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If this is coming down the track, and starting to play out right now, then why is no one noticing or doing anything about it? Put simply, it’s because everyone is terrified for their own job security. Who wouldn’t be? Every day there is further speculation on which industry is next, so it’s no wonder employees have accepted it as an inevitability. They are essentially having to choose between a better salary and no salary at all.

The least of their concerns is asking for a raise, so they sit back and watch their wages slowly crumble in real terms. When it comes to graduates, they’re often so desperate to get their foot in the door that they’ll take what they can get.

What Employers And Employees Should Do About AI-Driven Wage Stagnation

That doesn’t mean that all hope is lost, though. I would suggest a two-fold fix. One that requires action and accountability from both employer and employee.

First, we need to tie businesses into wage growth plans that they can’t wriggle out of. I would suggest companies publish three-year median salary statistics alongside job openings, so that prospective employees can access a more truthful portrayal of the role’s potential. That would stop individuals focusing solely on the initial number, presuming there will be room to boost it, and then being left bitterly disappointed when their paycheck doesn’t shift for five years.

Second, employees need to change their approach to negotiations. Because as AI shifts employers’ priorities, employees must adjust their own.

How Can Employees Negotiate Higher Salaries In An AI-Driven Workplace?

During salary talks, instead of highlighting work rate or number of late nights spent at the office, employees must now prove how effectively they can use AI, and be willing to tie their earnings to it. It might not prove a popular concept at first, but I truly believe that very soon, all competitive bonuses, pay raises and promotions will be linked to the technology.

I say this because AI is going to usher in a new class of employee: the AI manager that bridges the gap between high-level strategic ideas and the AI outputs that meet those goals. Those that see this change coming, and negotiate on the back of it, will not only have a far higher chance of bucking the incoming wage stagnation trend, but also reap financial rewards that may have been out of reach in their previous position.

Importantly, they will benefit from the AI upside: receiving fair compensation for being part of the AI shift, rather than businesses simply extracting more profits from AI-driven gains and sharing them only with the top of the pile.

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Taken together, the incoming wage stagnation wave poses a massive threat, even if it has managed to avoid grabbing headlines. It’s now on both employees and employers to tackle the issue head-on, shifting expectations around pay and promotions before it’s too late.

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Tags: AICareer GrowthExpert VoicesHuman Resources (HR)Productivity
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John Margerison

John Margerison

John Margerison is the founder and CEO of xFactorAi, an AI comms platform for Fortune 500s & government environments. He is currently writing a book, The AI Manager, which is due to be released soon

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