AI Leads the 2025 LinkedIn Jobs on the Rise Report
As we approach 2025, the professional landscape is undergoing a transformative shift. Recently, LinkedIn published a “Jobs on the Rise 2025” report highlighting the fastest-growing roles in the U.S.. Within the LinkedIn Jobs on the Rise report, there was a strong focus on a few notable AI and data-related positions that are not only leading the charge but opening doors to creating new opportunities.
These jobs are not only redefining industries but also creating opportunities for professionals with specialized skills in AI, machine learning, and data analytics. For data scientists and related professionals, these insights provide a roadmap to navigate the evolving job market. So let’s take a closer look at how AI and data roles are moving things.
AI and Data Roles Leading the Charge
According to the LinkedIn Jobs on the Rise report, AI and data-related roles dominate the top 25 fastest-growing positions. The demand for these professionals stems from the rapid integration of AI into diverse sectors such as healthcare, finance, retail, and manufacturing. The adoption of generative AI tools, predictive analytics, and advanced algorithms has propelled organizations to seek talent capable of leveraging these technologies for competitive advantage.
AI Jobs Mentioned in the LinkedIn Jobs on the Rise Report
AI Engineer
AI engineers design, develop, and implement AI models and algorithms to optimize processes and solve complex problems. Typically, this role would see an Engineer doing everything from working on solving issues with domain-specific models, to even building them from the ground up within an ecosystem.
Common skills include Large Language Models, Natural Language Processing, JIRA/Project Management, and PyTorch.
This career is common in the Technology and Internet, IT Services and IT Consulting, and Computers and Electronics Manufacturing industries, with concentrations in San Francisco, London, New York City, and Boston — although there is growth in hubs such as Austin, Tokyo, and Seoul.
AI Consultant
AI consultants help organizations adopt and integrate AI to achieve business goals and improve operations. Typically, consultants act as support for either existing teams or are on the ground helping organizations to build out teams, software, etc.
Some common skills include large language models, prompt engineering, SAAS, Sales, Business Management, and Python.
They are most often found in the technology and internet, IT services and consulting, and business consulting industries. Most jobs are located in San Francisco, New York City, and Washington, D.C.
AI Researcher
Artificial intelligence researchers advance or develop AI technologies and solutions through advanced research, experimentation, and the development of algorithms or techniques.
Common skills include Deep Learning, PyTorch, and Large Language Models (LLMs).
The most common industries employing these researchers are Technology and Internet, Higher Education, and Research Services. The locations with the most job opportunities are San Francisco, Boston, and Seattle.
Why the Demand for AI and Data Professionals is Soaring
The demand for AI and data roles is driven by two primary factors: technological advancements and business transformation.
Advancements in AI Technologies
The growing use of generative AI and autonomous systems has created a high demand for skilled professionals who can implement and manage these technologies. Businesses need individuals to develop, refine, and oversee AI systems tailored to specific needs. This demand includes various roles like AI engineers, machine learning specialists, data scientists, and AI ethicists. While some jobs may be automated, new opportunities are emerging that require individuals to work with AI systems, using human skills like creativity and critical thinking. As AI evolves, the demand for professionals who can adapt and use AI for innovation and growth will increase.
Data-Driven Decision Making
Businesses rely on skilled professionals who can transform raw data into actionable insights to make informed decisions. These insights enhance efficiency, innovation, and competitiveness. The ability to analyze vast data is crucial for businesses to identify trends, anticipate customer needs, and improve outcomes. Therefore, there’s a growing demand for professionals who can navigate data and unlock its potential.
Regulatory and Ethical Considerations
As AI becomes more prevalent, ethical considerations regarding fairness, transparency, and potential biases must be addressed. This creates a need for professionals specializing in AI ethics and responsible AI development. These experts work to mitigate biases, ensure transparency in AI decision-making, and advocate for fairness and accountability. They contribute to ethical frameworks, conduct system audits, and educate the public about AI ethics.
By addressing ethical concerns and promoting responsible development, AI’s potential benefits can be maximized while minimizing its potential harms. The expertise of AI ethicists and responsible AI specialists is essential for ensuring AI respects human values, promotes fairness, and fosters trust.
How Professionals Can Stay Competitive
With AI and data roles evolving rapidly, professionals need to adapt to remain relevant in this competitive landscape. Here are key strategies to consider:
Upskill Continuously
Staying updated on the latest AI tools and technologies is essential. Services like ODSC’s Ai+ Training platform offer the latest in courses on machine learning, data analytics, and AI ethics — all taught by experts who are leading the field of AI. With Ai+ Training, you just don’t get bragging rights, you get hands-on training that will take you further than a simple certification could. All this is to say, upskilling through Ai+ Training is an ideal way of boosting your employability.
Gain Hands-On Experience
As just mentioned, employers value practical experience over theoretical knowledge. Anyone who has worked in tech knows that certifications can get you looked abt, but portfolios and other projects are what hiring managers are looking for. That’s why participating in open-source projects, contributing to Kaggle competitions, or working on end-to-end AI applications can enhance your portfolio and overall employability.
Discover the Skills That Employers are Looking for
A few weeks ago, we posted our own analysis of over 30,000 data science & AI job descriptions, and we discovered what many employers are looking for. We discovered a mix of must-have core skills in machine learning, up to advanced generative AI skills, and everything in betwee. Read the full report for more.
Attending Conferences
Regardless of your data science expertise, attending conferences is a great way to learn trending skills, discover ones you haven’t thought of before, and connect with other AI pros to learn how they’re tackling an ever-changing industry.
ODSC East 2025 coming up this May 13th-15th in Boston, MA, in addition to virtually, is the best AI conference for AI builders and data scientists there is. Come learn from experts representing the biggest names in AI like Google, Microsoft, Amazon, and others, network with hundreds of other like-minded individuals, and get hands-on with everything you need to excel in the field.
The Future of AI and Data Careers
LinkedIn’s “Jobs on the Rise” report serves as a wake-up call for professionals across industries. The growth of AI and data-related jobs signals a broader trend: these roles are no longer confined to tech companies. Instead, they have become essential in healthcare, education, government, and beyond.
For instance, in healthcare, AI specialists are advancing precision medicine by analyzing genomic data. In retail, machine learning engineers optimize pricing strategies and inventory management. Even in the public sector, data scientists are helping policymakers craft data-driven legislation.
As these industries continue to embrace AI and data technologies, professionals must align their skills and career paths with these demands. This includes not only technical mastery but also an understanding of the ethical and regulatory frameworks shaping the future of AI.
Conclusion on the LinkedIn Jobs on the Rise Report
The insights from the LinkedIn Jobs on the Rise highlight the immense potential for AI and data-related professionals. As businesses across industries continue to prioritize innovation and efficiency, the demand for skilled talent in AI, machine learning, and data analytics will only grow. By staying informed, upskilling regularly, and networking strategically, professionals can position themselves at the forefront of this dynamic field.
The future of work is here, and AI and data professionals are leading the charge. It’s an exciting time to be part of this transformative journey.
