AI Strategy Gap Threatens Talent

By 2027, half of all enterprises that lack a comprehensive, people-centric AI strategy will lose their top AI talent to competitors that prioritize workforce enablement over basic AI adoption, according to Gartner, Inc., a business and technology insights company.

The Gartner Global Labor Market Survey, conducted in Q1 2026, surveyed 12,004 employees and managers across 40 countries, offering benchmarks on AI’s impact on work, worker sentiment, and workforce enablement.

“The survey revealed that, in the shift to an AI-powered workforce, most leaders are mistaking basic access and adoption metrics for true transformation,” said Swagatam Basu, Senior Director Analyst in Gartner’s HR practice. “This ‘enablement illusion’ is masking risks and eroding ROI.”

Many leaders also remain strategically unprepared. A December 2025 Gartner survey of 197 CxOs and senior business leaders found that only 27% have a comprehensive AI strategy, while just 20% believe their workforce is truly AI-ready.

Measuring AI impact by time saved misses the real value

Many executives track AI success through hours saved, yet 19% of employees surveyed in Q1 2026 reported no time savings from AI use.

Instead, organizations should focus on effective and diverse AI usage. Employees who are proficient across multiple AI use cases are:

• 2x more likely to be highly productive
• 2.3x more likely to deliver high-quality work
• 3.2x more likely to drive effective process improvements

Rather than relying on basic adoption metrics, leaders should implement a “True ROI Index” that measures the depth and diversity of AI usage. A centralized repository of AI use cases can help organizations capture learnings, reduce duplication, and accelerate enterprise-wide productivity gains.

Many employees prefer personal AI over enterprise tools

“Eighty-eight percent of employees with enterprise AI access also use personal AI tools for work-related tasks, often to save time,” said Diana Sanchez, Senior Director Analyst in Gartner’s HR practice.

“While hybrid AI users are 1.7 times more likely to report significant time savings than those using only enterprise tools, this behavior increases data security risks and raises attrition risks among critical talent.”

CIOs and CHROs must collaborate to audit and improve the user experience of enterprise AI tools in order to reduce shadow AI, protect data, and retain talent.

At the same time, CHROs should strengthen AI governance frameworks and clarify decision rights, ensuring HR representation in governance bodies to proactively manage workforce and organizational risks.

Major AI promises are not reaching most employees

Although most employees are given access to enterprise AI tools, 73% of highly productive users are managers or executives. Individual contributors—who perform the majority of automatable tasks—are often underserved in terms of training, support, and guidance.

Without targeted enablement, AI benefits remain concentrated at the top of organizations, limiting enterprise-wide productivity gains.

To close this gap, CHROs should provide tailored tools and training to strengthen managerial capability and confidence. Managers are best positioned to embed AI into daily workflows, guide employees on human–AI collaboration, and encourage experimentation and innovation.

Lack of psychological safety is slowing AI adoption

Widespread anxiety about AI-related job displacement is undermining productivity and slowing adoption across the workforce. AI adoption is therefore a cultural challenge as much as a training one; standard software training alone is insufficient to build trust or improve sentiment.

“Employees with a positive outlook toward AI are 3.4 times more likely to be highly productive,” said Basu. “The strongest drivers of positive adoption are confidence in current and future roles, and transparent, ongoing communication about how AI will affect jobs.”

Leaders must communicate clearly how roles and skills will evolve alongside AI and establish explicit human–AI collaboration norms to reduce uncertainty. Regular trust pulse surveys should be used to monitor workforce sentiment, and concerns should be addressed early and proactively.

Source: Gartner