AI Replacing All Jobs? LinkedIn Exec Says the Data Differ

Is AI replacing all jobs? LinkedIn's Sue Duke told Fortune that live hiring data show demand rising, not collapsing, and AI skills matter.

By Cosby Khosa · Published 22 October 2026

Key takeaways

LinkedIn’s Sue Duke told Fortune in December 2025 that live hiring data show demand rising rather than collapsing.
She says AI skills remain central to what employers want, and that the data counter the narrative that entry-level jobs are being swallowed by AI.
Other data on OneCareer shows mixed signals on entry-level postings, so evidence is not one-sided.
LinkedIn has an interest in a positive message, so compare with independent research.

The idea of AI replacing all jobs has become a staple of public debate, but a senior LinkedIn executive says the evidence does not support it. In a Fortune interview published on 5 December 2025, Sue Duke, LinkedIn’s managing director for Europe, the Middle East and Africa, argues that live hiring data show demand rising rather than collapsing.

She also says that AI skills remain central to what employers want, and that the data counter the story that entry-level jobs are being swallowed by AI. Fortune’s headline names Elon Musk and Bill Gates as being wrong on this point, which is the publication’s framing.

This article explains her arguments, tests them against other reports on OneCareer and offers a balanced way to think about the question. It is based on a search extract of an interview, so it keeps to what the extract stated. The interview dates from late 2025, so later data may add to or change the picture.

What Sue Duke argues about AI replacing all jobs

The core claim is straightforward. Looking at live hiring data from LinkedIn, Duke sees demand for workers rising, not collapsing. In her view, the picture does not match the claim that AI will imminently replace all jobs.

Live data matters because it shows what employers are doing now. Predictions about the future depend on assumptions about technology and behaviour. Data about current hiring and job postings shows what is happening on the ground.

Duke is also making a point about the narrative of AI replacing all jobs. The public conversation about AI is often dominated by dramatic forecasts. These can create fear and affect decisions, such as which careers young people choose. If the data tell a calmer story, it is worth saying so.

It is important to note who is speaking. Duke works for LinkedIn, which has a business interest in a healthy job market and in AI skills training. That does not mean that she is wrong. It means that her views should be weighed alongside independent research.

The interview also touches on career advice and Gen Z, so it aims to give practical reassurance to young people as well as to analyse data.

Why live hiring data matters more than headlines

Headlines about AI replacing all jobs tend to rely on forecasts, and the claim of AI replacing all jobs is hard to test. Some forecasters examine tasks that AI could in principle do, then conclude that jobs will vanish. Others rely on trends in technology. Such forecasts can be useful, but they often overstate how fast change will occur.

Live hiring data shows actual behaviour. It counts job postings, applications, hires and moves between jobs. It tells us what employers do with real money and real decisions.

This distinction matters. A task being automatable does not mean that it will be automated quickly. Companies face costs, risks, regulation and the need to retrain staff. Jobs are bundles of tasks, and when some tasks are automated, the rest may change but not vanish.

The current data on OneCareer lends some support to Duke’s view. LinkedIn’s analysis finds that hiring is below pre-pandemic levels but that AI is not the main cause, and that outside clinical healthcare, hiring patterns are similar for high and low AI-exposure jobs. Indeed’s June snapshot said the link between AI exposure and postings appeared to be flipping from destruction to creation.

Still, data has limits. It looks backward, and it may miss slow-building effects.

AI skills remain central to what employers want

Duke says that AI skills remain central to what employers want. That is consistent with many other reports.

LinkedIn’s Jobs on the Rise list, summarised on OneCareer, is led by AI engineer, AI consultant and data annotator. Robert Half finds that AI and machine learning postings reached 49,200 in 2025, up 163% (see Technology Job Market 2026: Robert Half’s In-Demand Roles). CNBC reports that titles mentioning AI account for 37% of the recent rise in software developer postings.

What counts as AI skills? They range widely. At one end are deep technical skills, such as building and training models. In the middle are applied skills, such as using AI tools to analyse data, write drafts or automate tasks. At the other end are literacy skills, such as understanding what AI can and cannot do, and judging its results.

For most workers, the middle and literacy levels are what matter. You do not need to become an engineer. But being able to use AI tools well, and to check their results, is becoming a standard expectation in many jobs. Our guide to in-demand technical skills in 2026 shows how data and software skills sit alongside these.

Gallup’s research adds that employees whose manager supports AI use are 7.4 times as likely to say AI helps them do what they do best, yet only 28% report such support. Skills grow best with encouragement.

The entry-level jobs narrative

One of the most emotional parts of the AI debate concerns young people. Many fear that entry-level jobs are being swallowed by AI, leaving graduates with no way in.

Duke says that the data counter this story. LinkedIn’s analysis on OneCareer similarly describes entry-level hiring as back in normal ranges.

Other sources are less clear. Indeed finds entry-level postings down 7.5% year on year in May 2026, while senior postings are up 14.7%. A consultancy blog cites entry-level postings down more than 35% since January 2023. These figures show real pressure on the first rung.

How can the views be reconciled? The sources measure different things, such as hiring versus postings, and use different periods and definitions. It may also be that pressure on entry-level work has several causes, such as cautious employers and high interest rates, and that AI is not the main one.

For young people, the practical lesson is to stay realistic and active. The market is tough, but not closed. Build skills, show real work and use networks. Our guide on how to apply for jobs and get your application noticed is a good place to start. Do not give up because of a headline.

The honest summary is that the evidence is mixed but does not support the claim that AI has already destroyed entry-level work.

Testing the claim of AI replacing all jobs against other evidence

It is good practice to test any claim against other evidence. Here is a summary of what other items on OneCareer say.

Evidence in support of Duke’s view: hiring weakness predates the AI boom and has multiple causes. Indeed describes a low-churn market with hiring near levels of 11 years ago. Marketplace points to policy uncertainty such as tariffs. LinkedIn’s analysis says AI exposure does not explain hiring patterns outside clinical healthcare. Software developer postings are up nearly 15% since late February 2025.

Evidence that adds caution: Gallup finds that fear of job loss is higher where AI is used, at 23% versus 18% in the US overall. Entry-level postings are down in several data sets. Some mid-level roles in tech are shrinking. Other reports show that some tasks, such as routine analysis, may be under pressure.

Evidence that is unclear: the net effect of AI on total jobs, since creation and destruction are hard to measure. The effect of AI on pay and the quality of jobs. Whether early patterns will continue as tools improve.

The balance of evidence suggests that AI replacing all jobs is not happening now. But it does not prove that AI will not change work significantly in the future. Both complacency and panic are mistakes.

Why predictions of AI replacing all jobs keep appearing

Predictions of AI replacing all jobs persist for several reasons.

Technology is advancing fast, and tools can now do things that seemed impossible a few years ago. It is natural to extrapolate.

Dramatic forecasts attract attention. Media and social platforms reward bold claims, and calm analysis gets less notice.

Some predictors have interests. Companies selling AI may emphasise its power. Others may exaggerate risks to promote regulation or products.

People worry about their own jobs. Fear makes the idea of mass replacement feel plausible, and it can reinforce itself.

History offers mixed lessons. Earlier waves of automation did destroy some jobs but created others. Many jobs we see today did not exist a generation ago. But the transition was often painful, and some groups lost out. So the fear is not unreasonable, even if the extreme version is not supported by data.

The way forward is to keep a balanced view. Watch the data, support people through change and avoid both hype and denial.

For individuals, it is more useful to ask how AI is changing your own field than to ask whether all jobs will vanish.

What job seekers and workers should do about AI replacing all jobs

Whatever the future holds, there are steps that make sense now.

Build AI literacy. Learn what the main tools do, try them in your work and learn to check their results. Ask your employer about training. See our guide to AI reskilling for a step-by-step approach.
Strengthen human skills. Communication, judgement, creativity, empathy, leadership and teamwork are hard to automate, and they work well alongside AI. Paylocity pairs technical skills with critical thinking, creativity, adaptability and ethical reasoning.
Stay adaptable. Expect your job to change. Keep learning, and be ready to move into new tasks or roles.
Look at demand. Check whether jobs in your field are growing or shrinking. Use postings data and industry reports.
Keep a record of results. In a world of change, proof of what you can do is your best asset.
Build networks. Many opportunities come through people.
Protect your wellbeing. Fear and uncertainty are stressful. Focus on what you can control, and seek support.

If you are early in your career, be patient and persistent. Use internships, projects and volunteering to build experience.

What employers and policymakers should do about AI replacing all jobs

Employers have a large role in shaping how AI affects work. The aim should be to use AI to improve work and growth, not just to cut costs.

Be open with staff. Explain plans, listen to concerns and involve people in decisions. Gallup’s finding that fear of job loss is higher where AI is used suggests that communication matters.
Invest in skills. Offer training in AI literacy and in the human skills that complement it. Start with a skills audit, as Workhuman’s skills-gap audit guide explains. Support managers in leading change, since their support makes a large difference.
Keep entry-level pathways. If you stop hiring beginners, you may face a shortage of experienced staff later. Use AI to help new people learn faster, not to remove their roles.
Measure effects. Track how AI changes tasks, productivity and jobs in your organisation. Use evidence to guide decisions.

Policymakers can support training, data collection and safety nets. They can also encourage competition and protect workers from unfair practices.

The key is to see AI as a tool whose effects depend on choices. Good choices can lead to better jobs and more prosperity. Poor ones can leave many behind.

What South African readers should take from the debate

South Africa faces the AI question with its own context. Unemployment is high, especially among young people, and inequality is large. Concerns about AI replacing jobs are real, and they matter.

At the same time, many South African workers are in sectors where AI’s immediate effect may be limited, such as mining, retail, agriculture, construction and public services, though even these will change. Others, such as call centres and business process outsourcing, may be more exposed to automation. The BPO sector is a significant employer, so watch it closely.

The LinkedIn data on OneCareer is global and mostly about advanced economies, so it may not describe South Africa well. Look for local research from universities, think tanks and government.

Practical steps include building digital skills, using free or low-cost learning resources, joining local professional groups and asking employers about training. Young people should look for learnerships, internships and short courses that give practical experience.

Policy matters too. Investment in education, connectivity and skills development will shape who benefits from AI. Public debate should include workers, employers and educators.

The central message is to engage with AI thoughtfully, rather than fear it blindly.

How to read the AI replacing all jobs interview with care

Several cautions apply.

First, this is an interview, so the views are those of one executive. Duke speaks for LinkedIn’s view of its own data. LinkedIn is a company that sells recruiting, advertising and learning products, and it has an interest in a positive message about work.

Second, the extract is short. It gives the main points but not the figures behind them. For exact data, go to LinkedIn’s published research.

Third, the interview is from December 2025. Since then, much more data has been published, some of which appears on OneCareer. Compare her claims with more recent reports.

Fourth, the Fortune headline names Elon Musk and Bill Gates. That is Fortune’s framing of a debate. We have not seen what these individuals said in full, and this article does not assess their views.

Fifth, claims about data can be selective. Look at several sources and measures before drawing conclusions.

Finally, the question of AI and jobs is uncertain. Reasonable people disagree. Treat any firm prediction, in either direction, with caution.

Final thoughts

On the question of AI replacing all jobs, LinkedIn’s Sue Duke told Fortune that live hiring data show demand rising rather than collapsing, that AI skills remain central to what employers want, and that the data counter the story that entry-level jobs are being swallowed by AI.

Other reports on OneCareer broadly support the view that AI is not the main cause of weak hiring, though some show pressure on entry-level postings and rising fear of job loss. The sensible stance avoids both panic and complacency.

Build AI literacy and human skills, watch the data and engage with change. Read the original interview and the latest research for more.

Sources and further reading

Fortune, Elon Musk and Bill Gates are wrong about AI replacing all jobs, says LinkedIn exec