Eighty-three percent of HR leaders say AI is reshaping what the business expects of them, as demand grows for more data-driven insights, faster service delivery and a larger role in workforce strategy. While nearly every HR function now uses AI in some form, new research from the Institute for Corporate Productivity (i4cp) finds that AI significantly boosts the strategic impact of some HR functions while doing little for others, even when they use comparable tools.
The difference has little to do with which AI platform HR purchased or how many licenses IT rolled out. In fact, i4cp’s global survey of 1,338 business and HR leaders, conducted in early 2026, found the real fault line is often tied to an organizational decision: Whether HR has a formal seat at the table when the enterprise decides how to implement AI.
See also: AI in HR strategy: An expert’s 5 pillars for successful implementation
The real fault line in the AI divide
When HR co-leads enterprise AI implementation with a cross-functional team, 58% of respondents say AI has meaningfully increased HR’s strategic impact. But when IT leads the effort alone, that figure drops to 39%, and when a cross-functional group leads the initiative without HR, it drops to just 20%.
The pattern also appears in workforce readiness. Organizations where HR leads enterprise AI implementation are roughly four times more likely to describe their workforce as mostly or fully AI-ready than organizations where a cross-functional team manages AI without HR representation (56% vs. 14%). They are also roughly three times more likely to report AI readiness than organizations where IT leads alone (56% versus 18%).
The connection makes practical sense. AI readiness is not just a technology deployment challenge; it is also a workforce transformation challenge. Employees need clear expectations for AI use, confidence that AI-driven decisions are governed responsibly, the skills to apply AI to their work and enough trust to experiment without fearing that automation has already claimed their jobs.
HR is uniquely positioned to address those challenges. When HR leads or co-leads enterprise AI implementation, organizations are more likely to consider workforce implications early. They are also more likely to support adoption through communication, learning and development, rewards and incentives and practical guidance that helps employees use AI responsibly in their day-to-day work.
This is not an easy fix. Among organizations with more than 1,000 employees, the most common AI implementation model remains IT or another digital function leading in isolation (34%)—the same model i4cp’s data associates with lower workforce AI readiness and a less change-ready culture.
What formal involvement looks like
Moderna provides an advanced example of an AI-enabled HR function. As the company scaled rapidly after its COVID-19 vaccine breakthrough, it combined HR and IT under a single executive role: chief people and digital technology officer. The move helped align workforce strategy, digital platforms and AI deployment within one operating model. It also shifted the conversation from who should do the work to how work should be designed across people, AI agents and software systems.
Allianz Life offers another example. The insurer established a formal AI Transformation Office with representatives from across the business, including HR. That structure gives HR a formal role in shaping decisions about workforce impact, upskilling and governance before those decisions are finalized, rather than after the fact.
Paths to the table
HR does not need to own enterprise AI implementation to influence outcomes. i4cp’s data points to several viable approaches: HR can lead the effort, co-lead with IT, or serve as a formal partner in a cross-functional implementation team.
The common thread is whether HR has defined accountability early enough to influence how AI affects work, skills, governance, adoption and employee trust.
As AI technology evolves and costs continue to change, HR’s partnerships with other functions will become increasingly important. For example, strong collaboration between finance and HR can help organizations align workflows with the most effective and cost-efficient AI model, maximizing business value while managing costs.
This gives CHROs more than one path to influence. In some organizations, the right move may be to establish a shared AI governance role with IT. In others, it may be to formalize HR’s responsibility for workforce enablement, skills strategy, job redesign, change management, or responsible use.
The approach to avoid is a passive one in which AI decisions are made elsewhere and HR is brought in later to communicate changes, deliver training, or address workforce issues after key decisions have already been made.
What CHROs should do now
For HR leaders whose organizations still rely on IT-led AI implementation in isolation, the message is clear: Don’t wait for an invitation. Use this research to build a business case for shared accountability with IT, particularly in governance, enablement, adoption and workforce impact—four areas where HR’s expertise is difficult to replace. Organizations need a workforce that can use AI safely and effectively if they hope to realize a return on AI investments.
At the same time, HR must strengthen its own AI capabilities and demonstrate leadership through action. How effectively is the HR team using AI today, and can it show measurable impact?
On that front, i4cp research suggests most HR functions still have work to do. More than half (57%) have not moved beyond pilots and isolated use cases. Only 9% are operationalizing AI across multiple HR processes, and just 1% say AI is core to how the HR function operates.
The organizations that solve this challenge first are likely to pull further ahead—not because their AI tools are better, but because HR was in the room when the most important decisions were made.
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