Human resources leaders are caught in a paradox: they understand AI can transform workforce management, yet most lack the operational roadmap to make it happen. A new study from The Hackett Group reveals that while 81% of HR leaders recognize the value of intelligent technology, 59% lack a clear implementation plan, leaving them focused on maintaining existing systems rather than reimagining how work gets done. Why Is There Such a Wide Gap Between HR's AI Ambitions and Reality? The disconnect runs deeper than simple hesitation. HR workloads are expected to rise 9% in 2026, yet staffing levels remain flat and operating budgets will increase just 1%, according to The Hackett Group's 2026 Human Resources Key Issues Study of HR leaders across major organizations. Despite these constraints, 83% of organizations expect more from HR. This creates an impossible equation: do more with less, while simultaneously transforming how work gets done. The pattern is consistent across multiple strategic priorities. While 84% of HR leaders emphasize flexibility and skills fluidity, only 39% have actually implemented plans to redesign their work models. Similarly, 78% acknowledge resilience as critical to organizational success, but 49% lack a defined resilience strategy. This gap between aspiration and capability is what separates leaders from laggards. "Leaders are clear on the priorities,greater flexibility, stronger resilience and smarter use of technology. What's holding many back is the growing gap between aspiration and capability. The organizations that will lead are those willing to reimagine how work gets done, not just adding new tools to legacy processes," said Amanda Newfield, global HR Applied Intelligence program leader at The Hackett Group. Amanda Newfield, Global HR Applied Intelligence Program Leader at The Hackett Group What Are the Biggest Obstacles Preventing HR AI Adoption? Organizations face a specific set of barriers that consistently slow progress. The Hackett Group identified five primary obstacles that HR leaders cite as preventing value realization from AI investments: - Data Quality Concerns: 48% of HR leaders point to poor data quality as a major barrier, making it difficult to train AI systems effectively or trust their outputs - Workforce Change Management: 44% struggle with getting employees to adopt new AI-driven processes and workflows - Data Privacy and Regulatory Compliance: 42% face challenges navigating GDPR, CCPA, and other regulations when implementing AI in HR systems - Limited AI Talent: 42% cannot find or retain the specialized skills needed to build and maintain AI solutions internally - Insufficient Executive Sponsorship: 38% lack strong leadership commitment to fund and champion AI transformation initiatives Yet the research also makes clear these challenges are manageable. Organizations that take targeted, disciplined action rather than attempting sweeping, simultaneous overhauls are more likely to move from experimentation to measurable impact. Where Is AI Actually Gaining Traction in HR? AI adoption is accelerating in specific areas of human resources, particularly where the benefits are most immediate and measurable. By the close of 2026, AI adoption is projected to reach 47% in HR shared services (routine administrative tasks) and 42% in talent and performance management, according to The Hackett Group. Employee mobility is rising as a strategic priority, with AI adoption expected to nearly double from 28% to 47%. These gains signal growing recognition that AI can streamline transactional work, reduce unconscious bias in hiring and performance reviews, and better align individual performance with business goals. However, more strategic capabilities remain underdeveloped. Skills architecture and workforce planning lag behind, limiting HR's ability to unlock full enterprise value from AI investments. Real-world examples demonstrate what's possible when organizations move beyond incremental adoption. Johnson & Johnson's AI-powered employee engagement platform delivered a 200% return on investment (ROI), while Intermountain Health's generative AI-driven talent acquisition redesign reduced time-to-fill from 65 days to 35 days and generated cost savings exceeding 2,000 hours of recruiter time. How to Build a Successful HR AI Strategy The Hackett Group outlines three strategic mandates that HR leaders should follow to accelerate progress and move from pilot projects to measurable business impact: - Design Workplaces Without Borders: Enable talent mobility, skills fluidity, and seamless collaboration across job roles, organizational units, and geographic boundaries using AI to match skills to opportunities in real time - Build a Resilient, AI-Infused Workforce: Implement continuous reskilling and capability development programs that prepare employees for evolving roles and leverage AI to identify skill gaps before they become problems - Elevate HR as a Catalyst for Transformation: Reimagine the HR operating model while unifying HR data and embedding intelligent technologies that simplify work, orchestrate workflows, and strengthen enterprise decision-making These mandates require more than technology investment. They demand operational model redesign, data governance improvements, and a shift in how HR leaders think about their role within the organization. What Does This Mean for Other Industries Beyond HR? The HR AI execution gap reflects a broader pattern across enterprises. Alithya's 2026 industry research reveals similar challenges in financial services, manufacturing, and healthcare, where organizations are accelerating AI adoption but struggling with foundational capabilities. Across these sectors, executives emphasize that AI only delivers value when built on strong data foundations, cloud infrastructure, and clear governance frameworks. "Technology, especially AI, is now at the center of every long-term strategy. But leaders are clear: AI only delivers value when built on strong data foundations. Our role is to help them build these capabilities and translate them into measurable business outcomes," noted Paul Raymond, President and Chief Executive Officer of Alithya. Paul Raymond, President and Chief Executive Officer of Alithya The message is consistent: investment in AI tools alone is insufficient. Organizations must simultaneously strengthen their data architecture, governance practices, and organizational readiness to realize AI's full potential. For HR leaders specifically, this means moving beyond viewing AI as a technology problem and recognizing it as an operational transformation challenge that requires sustained commitment and disciplined execution.
