Fastest-Growing Jobs 2026: LinkedIn's AI-Led List Explained

AI engineer tops LinkedIn's list of fastest-growing jobs for 2026, but hiring is 23% below pre-pandemic levels. See what the data means.

By Cosby Khosa · Published 22 October 2026

Fastest-Growing Jobs 2026: LinkedIn's AI-Led List Explained

Key takeaways

LinkedIn’s US fastest-growing jobs for 2026 are led by AI engineer, followed by AI consultant and data annotator.
A November survey found 56% of workers planned to look for a job in 2026 while about 75% felt unprepared.
Applicants per role have more than doubled since spring 2022, and hiring is 23% below pre-pandemic levels.
An India report found 72% looking and 84% worried about skills.

The fastest-growing jobs in 2026, according to LinkedIn’s Jobs on the Rise list, are led by AI engineer, followed by AI consultant and data annotator. A news summary from Let’s Data Science reports the US list, and adds some striking survey figures. A November LinkedIn survey found that 56% of workers planned to look for a job in 2026, while about 75% felt unprepared.

The same summary says that applicants per role have more than doubled since spring 2022, and that hiring is 23% below pre-pandemic levels. A separate report on India, covered by Patrika on 10 January 2026, found 72% looking and 84% worried about skills.

This article explains the list, the survey numbers and what they mean for job seekers. It is based on a search extract of a secondary news summary of LinkedIn’s research, and the exact date is not shown, so we recommend checking LinkedIn’s own report for precise wording. The figures are paraphrased and summarised here.

What LinkedIn’s fastest-growing jobs list shows

LinkedIn’s Jobs on the Rise is an annual list of the fastest-growing jobs, meaning the roles with the fastest growth in hiring. It is built from LinkedIn’s data on hiring and job moves, and it aims to show where opportunities are expanding.

The US list for 2026 is led by AI engineer. In second place is AI consultant, and in third is data annotator. These three roles tell a clear story. AI is creating demand, both for the people who build systems, the engineers, for those who advise organisations on using them, the consultants, and for those who label and prepare the data that models learn from, the annotators.

The summary does not give the full list of fastest-growing jobs, so we cannot say what else appears on it. The full list would show whether growth is also strong in fields such as healthcare, energy, construction or education.

Lists like this are useful, but they have limits. Fast growth from a small base can look dramatic. A role that doubles from a few thousand jobs to a few thousand more is growing fast but is still small. A role that grows 10% from a huge base may add far more jobs. Always ask about the size of the roles, not just their growth rates.

Treat the list as a guide to direction, not as a recommendation for any one person.

Why AI engineer, AI consultant and data annotator lead

The top three roles reflect the wave of AI adoption. Companies across many sectors are building or buying AI tools, and they need people at several levels.

AI engineers design, train, deploy and maintain AI systems. The role needs strong programming, mathematics and systems skills. Pay is high, as shown by Robert Half’s data on OneCareer, which puts starting salaries for AI and machine learning engineers at $134,000 to $193,250 (see Technology Job Market 2026: Robert Half’s In-Demand Roles).

AI consultants help organisations decide where and how to use AI. They combine technical knowledge with business understanding and communication. They may come from backgrounds in strategy, data science or industry.

Data annotators label data, such as images, text and audio, so that models can learn. The work is often more accessible than engineering, since it may not need a degree, though it requires care and consistency. It can also be lower paid and sometimes insecure, so it is worth examining the conditions of any such role.

The mix shows that AI creates a range of jobs, from highly skilled to entry-level. Other items on OneCareer add that more than 600,000 jobs are tied to AI-enabled data centres. The picture is of specialist demand rising even while hiring overall stays slow. Our guide to in-demand technical skills in 2026 shows which skills sit behind these roles.

56% planned to look for a job, and about 75% felt unprepared

The survey numbers are the most human part of the story. A November LinkedIn survey found that 56% of workers planned to look for a job in 2026. About 75% felt unprepared.

The first figure says that many people are restless. More than half of respondents expected to search. This fits with a low-churn market, in which people may stay in jobs for lack of options but would move if they could.

The second figure says that most people do not feel ready. Unprepared could mean many things: out-of-date CVs, weak interview skills, gaps in skills, limited networks or lack of knowledge about the market. The summary does not say.

Together, the numbers suggest a large gap between intention and readiness. Many people want to move but doubt their ability to do so. That may lead to delay, anxiety or poor decisions.

The solution is preparation, which is within your control. Update your CV, practise interviews, build a skill, widen your network and learn the market. Other items on OneCareer offer guidance on each of these steps, including our guide on how to apply for jobs and get your application noticed.

Remember that these are survey results from a particular time and group. They show a mood, not a measurement of actual job moves.

Applicants per role have more than doubled

The summary says that applicants per role have more than doubled since spring 2022. That is one of the clearest signs of how competitive the market has become.

More applicants per role can come from two directions. Fewer jobs are being posted, so the same number of people chase fewer openings. And it has become easier to apply, since online tools let people submit many applications quickly, sometimes with help from AI. Both factors push up the numbers.

For job seekers, the consequence is that each application faces stiffer competition. A generic application may be lost in a pile. A targeted application, with a tailored CV and clear evidence of fit, stands a better chance.

For employers, more applicants mean more screening work, and more risk of missing good candidates in the noise. Robert Half’s data on OneCareer says that 70% of tech hiring managers are more likely to use a staffing firm because of AI-generated applications and AI skill needs. That shows how flooding of applications changes hiring practice.

If you are job hunting, aim for quality over quantity. A smaller number of excellent applications usually beats a large number of weak ones.

Hiring is 23% below pre-pandemic levels

The summary states that hiring is 23% below pre-pandemic levels. That puts the fastest-growing jobs in context.

Even with a list of fastest-growing jobs, the overall hiring rate is far below where it was before 2020. It means that the average job seeker faces fewer chances than before, even if some fields are booming.

The related LinkedIn analysis on OneCareer gives a global picture: hiring nearly 20% below pre-pandemic levels, and 20% to 35% below in advanced economies. The 23% figure sits within that range.

Why is hiring so low? Possible reasons include economic uncertainty, high interest rates, cautious employers and policy changes. The LinkedIn analysis says that AI is not the main cause, since hiring patterns are similar for high and low AI exposure jobs outside clinical healthcare.

For individuals, a low hiring rate means that the job search takes longer. Plan for months, not weeks. Keep your finances in order, and use your time well.

It also means that staying in a job may be sensible if you have one. Moving is possible, but you may have to be patient.

The India findings: 72% looking and 84% worried about skills

The summary mentions a separate report on India, covered by Patrika on 10 January 2026. It found that 72% of respondents were looking for new jobs and 84% were worried about skills.

These numbers are higher than the US figures. In India, a larger share planned to move, and a larger share worried about their skills. This may reflect a more dynamic job market, with a young workforce and fast-growing sectors, as well as pressure from technology change.

The concern over skills is especially striking. Whether it is about AI, digital tools or changing job demands, many workers fear that their skills are not enough.

For South African readers, the Indian findings offer a useful comparison. South Africa also has a young workforce, high unemployment and a need for skills development. While we do not have equivalent figures in this summary, the themes are likely to resonate: many people want to move, and many worry about being ready.

We caution that these are survey results, covered by a news outlet, and the exact sample and method are not given in the extract. Use them as indications of mood, not as exact measures.

The common thread is that skills confidence is a challenge across countries.

What the fastest-growing jobs mean for your career

How should you use the list of fastest-growing jobs? Start by being clear on what it can and cannot tell you.

It tells you where demand is growing. If you have or can build skills in AI, data and related fields, the list suggests opportunity.

It does not tell you that you must change careers. Many roles outside the list are stable and valuable. Healthcare, education, trades, logistics and public service are examples where demand is steady, even if growth rates are lower.

Use the list to ask questions. Which skills link to growing roles? Could you add some to your current job? For example, an administrator might learn data analysis. A marketer might learn to use AI tools for research. A teacher might learn to use AI to prepare materials.

Think about adjacent moves. If you work in customer support, a move toward data annotation or AI quality review might be possible. If you work in analysis, a move toward machine learning might be.

Invest in learning. Courses, projects and certificates in AI-related skills can help, but choose carefully, and check that they are reputable. Our AI reskilling guide explains how to plan your learning step by step.

Above all, base your decisions on your interests and strengths, not only on a list.

What employers and HR leaders should take from the fastest-growing jobs list

For employers, the list is a cue to think about skills. If AI roles are growing fast, competition for talent in those areas will be intense. Pay will be high, and good candidates will have options.

Consider building skills from within. Other items on OneCareer show that 57% of tech hiring managers hire for potential and train when exact skills are unavailable. Reskilling and upskilling programmes, as described in guides from Paylocity and Workhuman, can fill gaps more cheaply than hiring.

Review job descriptions. Make sure that they ask for skills that you truly need. Overly long lists can discourage good candidates.

Think about the candidate experience. With applicants per role more than doubled, your process must handle volume while staying fair and human. Use technology wisely, and keep humans involved in decisions.

Also be honest about conditions. If you hire data annotators or similar workers, ensure fair pay and decent working conditions.

Finally, plan for uncertainty. Hiring overall is low, and growth in specific roles may not last. Build flexible plans, including contractors and partnerships.

How to read the fastest-growing jobs news summary with care

Several cautions apply.

First, this is a secondary source. Let’s Data Science summarises LinkedIn’s research. Errors can creep in, and some details may be lost. Check LinkedIn’s original report.

Second, the date is not shown, though it appears to be early 2026. The November survey is the most precise timing given.

Third, the fastest-growing jobs are not always the largest. Check the size of roles and the number of openings.

Fourth, LinkedIn is a company with an interest in showing the value of its data and platform. Its research is useful, but it reflects LinkedIn’s users, who are not a perfect sample of all workers.

Fifth, survey numbers such as 56% and 75% are from a particular survey and may not apply to other groups.

Sixth, the India report was covered by Patrika, and we do not have details of its sample.

Finally, this article summarises a summary. Where decisions matter, go to the primary sources.

Final thoughts

The fastest-growing jobs for 2026 on LinkedIn’s US list are led by AI engineer, then AI consultant and data annotator. Behind the list lies a tough market: hiring is 23% below pre-pandemic levels, applicants per role have more than doubled since spring 2022, 56% of workers planned to look for a job in 2026 and about 75% felt unprepared. In India, 72% were looking and 84% were worried about skills.

The lesson is to prepare. Build skills that link to growing demand, make quality applications and be patient.

Check LinkedIn’s original report for the full list of fastest-growing jobs and exact figures.

Sources and further reading

Let’s Data Science, LinkedIn Names Fastest-Growing Jobs for 2026