| Quick Answer If you are tracking AI Jobs in 2026, AI engineer is the fastest-growing job title in the US, with postings up 143% year-over-year, according to LinkedIn’s 2026 Jobs on the Rise report. Machine learning engineers, AI governance leads, and AI trainers are close behind. Meanwhile, data entry and basic call-centre roles are shrinking fast. The safest jobs combine AI skills with judgement, creativity, or people skills AI still can’t do on its own. |
Which AI Jobs Are Growing the Fastest in the US Right Now?
Job growth in AI isn’t spread evenly. A handful of roles are pulling most of the demand, while dozens of smaller, more specific jobs are popping up around them. Here’s who’s hiring, and why.
AI Engineers Are Leading Every List
According to LinkedIn’s 2026 Jobs on the Rise report, AI engineer is the fastest-growing job title in the country. The demand for AI engineers in the United States rose 143 percent in 2025 year-over-year, said recruitment firm Onward Search. These are the people who develop, test and deliver AI tools inside products.
Machine Learning Engineers and AI Researchers Aren’t Far Behind
Of LinkedIn’s top 5 fastest growing jobs in the US, 4 are AI related and demand for AI research scientists is set to increase a further 20% by 2034. While these roles continue to require excellent mathematical and programming skills, there is a growing need for people who can communicate their work to non-technical colleagues as well as develop algorithms.
AI Governance and Ethics Jobs Are New but Growing Quickly
With the advent of rules such as the EU AI Act and the start of the process of AI legislation in various states in the U.S., it is necessary to ensure that AI systems are free from discriminatory biases and that their decision-making processes are audited and documented. Thus, the jobs of AI ethics officers and governance leads are in demand now more than ever as businesses try to stay compliant. Such positions were not widespread even five years ago, but today, they are in high demand at medium-sized and large companies.
Which Jobs Are Shrinking Because of AI?
Growth isn’t the whole story. Some roles are genuinely disappearing, especially ones built around repetitive, predictable tasks. Here’s a side-by-side look.
| Growing Fast | Shrinking Fast |
|---|---|
| AI engineer | Data entry clerk |
| Machine learning engineer | Basic customer service rep |
| AI governance / compliance lead | Junior financial analyst (routine reporting) |
| AI trainer / evaluator | Manual document processing |
One real example: Klarna cut its customer service headcount from 2,300 to 1,600 after rolling out AI that now handles roughly 70% of customer chats, according to company reporting. On the other side, outsourcing firms have trimmed data entry teams by 30 to 40% since 2024 as OCR and automated extraction tools took over routine paperwork.
How AI Is Changing Jobs Outside of Tech
With the advent of rules such as the EU AI Act and the start of the process of AI legislation in various states in the U.S., it is necessary to ensure that AI systems are free from discriminatory biases and that their decision-making processes are audited and documented. Thus, the jobs of AI ethics officers and governance leads are in demand now more than ever as businesses try to stay compliant. Such positions were not widespread even five years ago, but today, they are in high demand at medium-sized and large companies.
What Skills Do Employers Actually Want in 2026?
You don’t need a PhD to work with AI. Most job postings are asking for a mix of these:
- Basic prompt writing, and knowing how to check AI output for mistakes
- Comfort with at least one AI tool relevant to your field (not necessarily coding)
- Data literacy: reading a dashboard, spotting a weird number, asking the right question
- Judgement and communication — the parts AI still struggles to fake convincingly
- For technical roles: Python, cloud platforms, and model evaluation basics
How to Prepare for the AI Job Market
You don’t need to switch careers overnight. Start with what’s already changing around you.
- Pick one AI tool used in your industry and get genuinely good at it, not just familiar with it
- Ask your manager which parts of your role are already being automated, and lean into what’s left
- Take one short, practical AI course rather than a long, theoretical one
- Follow one credible source, like LinkedIn’s Jobs on the Rise report or the WEF’s Future of Jobs report, instead of chasing every headline
- If you’re job hunting, add specific AI tools to your resume, not just the word “AI”
Frequently Asked Questions
What is the fastest-growing AI job in the US in 2026?
AI engineer. LinkedIn’s 2026 Jobs on the Rise report places it at number one, with US postings up 143% year-over-year in 2025.
Are AI jobs only for people with a computer science degree?
No. Technical roles like AI engineer and machine learning engineer usually need coding skills, but AI governance, AI training and evaluation, and AI product roles hire people from law, business, writing, and other backgrounds too.
Which jobs are most at risk from AI in 2026?
Roles built around repetitive, predictable tasks are most exposed, including data entry, basic call-centre work, and routine financial reporting. Outsourcing firms have already cut data entry headcount by 30 to 40% since 2024.
Will AI create more jobs than it destroys?
Most major forecasts say yes, though the margin varies by source. The World Economic Forum projects 170 million new roles and 92 million displaced by 2030, a net gain of about 78 million jobs globally.
Do AI skills actually pay more?
Yes. PwC’s Global AI Jobs Barometer found that workers with AI skills earn wage premiums up to 56% higher than peers in similar roles without those skills.
What’s the easiest way to start learning AI skills without a tech background?
Start with the AI tools already used in your current job or industry. Get comfortable checking AI output for errors and writing clear prompts. That single skill applies to almost every entry-level AI-adjacent role in 2026.
The Bottom Line
AI isn’t replacing work in 2026 so much as it’s reshuffling it. The fastest-growing jobs are the ones that build, manage, or govern AI systems, but the bigger shift is happening quietly inside jobs that already exist. Learn the tools your industry is already using, and you’ll be ahead of most of the market.
