Agentic AI Sparks New Wave of Jobs Across Industries

Concerns about artificial intelligence replacing workers continue to dominate discussions about the future of employment, but new data from major organizations suggests AI is also generating a rapidly expanding range of new career opportunities. Research from LinkedIn, McKinsey, the World Economic Forum and several technology companies indicates that the rise of agentic AI is reshaping workforce demands and creating entirely new job categories.

According to LinkedIn’s analysis published in January 2026, AI has already contributed to the creation of more than 1.3 million new positions, including roles such as AI Engineer, Forward-Deployed Engineer and Data Annotator. The platform also identified more than 600,000 AI-related data center jobs. LinkedIn describes this shift as the emergence of a “new-collar” workforce that combines technical expertise, knowledge work and human-centered skills. AI Engineer ranked as the fastest-growing job title in the United States for the second consecutive year.

The trend is increasingly visible within major technology companies. This week, Box CEO Aaron Levie highlighted several AI-focused positions that did not exist at the company two years ago. These include specialists who evaluate emerging AI models, internal automation engineers responsible for transforming company workflows, and professional services teams dedicated to helping customers deploy AI solutions more quickly. Levie argued that Box is not unique and that similar hiring patterns are appearing across its customer base.

Broader industry forecasts support that view. The World Economic Forum’s Future of Jobs Report estimates that 170 million new positions will be created globally by 2030, while 92 million jobs are expected to be displaced, resulting in a net gain of 78 million roles. AI and machine learning specialists are projected to be among the three fastest-growing occupations worldwide. McKinsey, meanwhile, describes the future workplace as an “agentic organization,” where employees increasingly coordinate, supervise and collaborate with AI systems.

Among the most sought-after technical positions are Forward-Deployed Engineers, who work directly with customers to build and optimize AI-driven workflows; AI Engineers, who develop and manage AI products and large language model applications; AI Evals Engineers, who test models for hallucinations, bias and performance issues; Context Engineers, who design information systems that improve AI decision-making; and AI Agent Architects, who create autonomous multi-agent systems. Organizations are also increasingly recruiting Chief AI Officers, AI Governance and Ethics Leads, AI Enablement Leads, AI Red Team Engineers and Decision Engineers to guide AI adoption and oversight.

The expansion extends well beyond engineering. Industry research suggests some of the largest growth areas will be in business-focused and operational roles. These include AI Consultants and Strategists, AI Product Managers, Agent Supervisors, AI Trainers and Data Annotators, Conversation Designers, Human-Agent Workforce Leads, AI Legal and Policy Counsel, AI-Augmented Sales Specialists, AI Customer Success Managers and AI Auditors. Many of these positions require expertise in strategy, operations, communications, compliance and workforce management rather than software development skills.

McKinsey has emphasized that AI-augmented frontline employees in sales, customer service, human resources and operations could become the largest category of new AI-related workers. KPMG has also argued that AI agents should be managed similarly to human employees, requiring dedicated leadership structures and new workforce management practices.

Analysts say the appearance of these roles reflects a deeper organizational transformation rather than simple AI experimentation. Companies typically create such positions only after integrating AI agents into core business processes. KPMG estimates that 70% of large organizations plan to restructure around AI-driven operating models within the next three years. As businesses continue adopting agentic AI, hiring trends suggest that many of the fastest-growing opportunities will emerge not only in technology departments but across strategy, product development, legal, human resources, sales and risk management functions.