While much of the conversation around AI focuses on the jobs it could eliminate, emerging data points to another story worth telling.
AI is giving main-character energy in conversations about the future of work, and increasingly cast as the villain in the employment story. Companies are automating tasks once handled by people, reconsidering staffing needs, and investing in technology that promises to accomplish more with fewer resources. Human resources, included.
The concerns are legitimate. Yet emerging research points to a less-discussed trend: AI is also generating jobs, increasing demand for new skills, and creating opportunities across industries. The numbers tell a compelling story.
AI Is Already Creating Jobs
According to LinkedIn’s October 2026 research, AI has helped create approximately 2 million jobs. AI Engineer ranked among the ten fastest-growing occupations across seven major economies, with U.S. entry-level hiring for these positions increasing 68% year over year.
Demand extends beyond engineering. LinkedIn found that the share of job postings requiring AI literacy increased approximately 65% over the previous 12 months, with opportunities emerging across marketing, design, project management, administration, and other professional functions.
The Jobs Behind AI Adoption
Bringing AI from concept to implementation requires a range of talent. Companies need engineers to develop models and integrate systems, cybersecurity specialists to manage risks, and technical leaders to oversee implementation. Forward Deployed Engineers, who help customers deploy complex technologies in real-world environments, represent another growing area of demand.
AI adoption also creates needs beyond technical teams, from evaluating technologies and redesigning workflows, to project management, to training employees and measuring results. Some of these capabilities are emerging faster than traditional job descriptions can keep up.
Could Greater Productivity Lead to More Hiring?
PwC’s 2026 Global AI Jobs Barometer, which analyzed more than one billion job advertisements across 27 countries and territories, found that companies in the most AI-exposed sectors experienced 52% headcount growth between 2018 and 2025, compared with 36% among the least AI-exposed companies.
The findings don’t establish that AI caused the additional hiring, although they challenge the assumption that automation inevitably leads to smaller teams. Productivity gains can free up resources for expansion, new products, and investment. Whether those gains translate into hiring depends on how businesses choose to use them.
The Human Skills Behind an AI-Enabled Workforce
Demand for AI capabilities is influencing hiring outcomes. LinkedIn reports that professionals who list AI literacy skills are 78% more likely to get hired and 11% more likely to receive a promotion than those who do not. These figures reflect associations, rather than evidence that AI skills alone produce those outcomes, yet they’re still noteworthy.
PwC found that workers with AI skills command an average 62% wage premium. Its research also found that highly AI-exposed entry-level positions in the United States were seven times more likely than the least-exposed positions to require traditionally senior-level capabilities, including leadership and strategic decision-making.
There’s a fitting term in machine learning: human in the loop (HITL). It describes systems that incorporate human input, feedback, or oversight to improve outcomes. The principle resonates beyond technology. As AI becomes more capable, knowing when to apply human judgment, experience, and critical thinking, ie: put a real human in the loop of a workflow, is going to remain incredibly important. We believe this beyond all else, and especially the value of humans in the loop of recruiting and hiring decisions.
A Changing Employment Landscape
The job-creation story doesn’t erase legitimate concerns about displacement. The World Economic Forum’s Future of Jobs Report 2025 projects that AI and information-processing technologies could create 11 million jobs globally by 2030 while displacing 9 million.
The transition won’t be evenly distributed, and new opportunities won’t necessarly replace every position affected by automation. Still, the emerging data gives employers reason to look beyond what AI may eliminate and consider what it makes possible. We’re recruiting for AI specialists in various industries, and seeing general AI fluency emerge on job descriptions, and using it ourselves now each day. The world was very different 12 months ago!
The next wave of hiring may tell us as much about what AI makes possible as what it makes obsolete… and we’ll be riding it.