The demand for specialized technical talent continues to accelerate as companies increase their investments in artificial intelligence and digital transformation. This is clear according to global talent solutions and business consulting firm Robert Half.
The company’s latest proprietary job database reveals a significant increase in hiring for AI-focused roles from Q1 2025 to Q1 2026.
Demand for AI engineer roles and AI product managers increased by 81% and 80%, respectively, while demand for data governance managers increased by 79%.
While demand growth for machine learning engineers is modest at 24%, data shows growing adoption across the broader AI ecosystem, from technical delivery to strategic oversight.
This reflects a more mature approach to AI deployment, where companies build structured capabilities rather than individual use cases.
Beyond AI, organizations continue to prioritize data-driven performance and infrastructure modernization.
In the first quarter of 2026, there were more than 16,800 job openings in cloud and infrastructure, business intelligence, and data analytics roles. This trend highlights the importance of a strong data foundation and scalable systems to support ongoing digital transformation.
Sustained growth across both AI and core technology capabilities shows that companies are taking a long-term approach to building capabilities and investing in talent that can deliver both immediate impact and future innovation.
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“The demand for AI and transformation talent is accelerating as companies move from exploration to implementation,” commented Craig Freedberg, regional director at Robert Half.
“What we are seeing now is a shift towards more structured investments in talent, with companies hiring not just technical experts but leaders who can incorporate AI into broader business strategies.
“At the same time, the continued rise in the role of data and the cloud emphasizes that AI success depends on having the right foundation in place.
“Companies are recognizing that to unlock the full value of emerging technologies, they need the right mix of skills across data, infrastructure, and leadership.”
