LinkedIn has released its LinkedIn Jobs on the Rise 2025, with AI jobs taking the top two spots, with one other appearing in the top 15.

Artificial intelligence is revolutionizing multiple industries. Fears the tech would lead to widespread layoffs is gradually giving way to cautious optimism that AI will create as many or more jobs than it replaces. LinkedIn’s latest report shows that AI is indeed creating create jobs.

According to the professional networking site, Artificial Intelligence Engineer takes the top spot.

What they do: Artificial intelligence engineers design, develop and implement AI models and algorithms to optimize processes and solve complex problems. | Most common skills: Large Language Models (LLM), Natural Language Processing (NLP), PyTorch | Most common industries: Technology and Internet, IT Services and IT Consulting, Computers and Electronics Manufacturing | Where the most jobs are: San Francisco, New York City, Boston | Current gender distribution: 20% female, 80% male | Median years of prior experience: 3.6 | Top roles transitioned from: Full Stack Engineer, Research Assistant, Data Scientist | Flexible work availability: 35.5% remote, 27.3% hybrid

Coming in at second-place is Artificial Intelligence Consultant.

What they do: Artificial intelligence consultants assist organizations with the adoption and integration of AI technologies to meet business goals and improve operations. | Most common skills: Large Language Models (LLM), Prompt Engineering, Python | Most common industries: Technology and Internet, IT Services and IT Consulting, Business Consulting and Services | Where the most jobs are: San Francisco, New York City, Washington, D.C. | Current gender distribution: 30% female, 70% male | Median years of prior experience: 4.5 | Top roles transitioned from: Operations Associate, Machine Learning Engineer, Data Scientist | Flex work availability: 27.8% remote, 39.7% hybrid

Coming in at twelfth-place is Artificial Intelligence Researcher.

What they do: Artificial intelligence researchers advance AI technologies and solutions or develop new ones through advanced research, experimentation and the development of algorithms or techniques. | Most common skills: Deep Learning, PyTorch, Large Language Models (LLM) | Most common industries: Technology and Internet, Higher Education, Research Services | Where the most jobs are: San Francisco, Boston, Seattle | Current gender distribution: 26% female, 74% male | Median years of prior experience: 3.2 | Top roles transitioned from: Machine Learning Engineer, Data Scientist, Research Assistant | Flex work availability: 11% remote, 18.5% hybrid

From Data Scientist to AI Professional

It is interesting to note that, in the case of all three AI jobs, Data Scientist is one of the jobs that individuals are transitioning from. The commonality is noteworthy because data analysis is one of the areas where AI excels, and a prime example of the type of job in which AI could replace humans.

The fact that data scientists are moving into AI roles is evidence of the potential for individuals whose jobs are threatened by AI to upskill and take on new roles that AI is creating.