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AI: Leaders want results, but are stuck in proof of concept

June 9, 2026
in Human Resources
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AI: Leaders want results, but are stuck in proof of concept
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Organizations are eager to see quick returns from their AI investments, but many initiatives never make it past the proof-of-concept (PoC) stage. This tension highlights a critical challenge for HR leaders and professionals: preparing their workforce to fully realize AI’s transformative potential.

According to one of our studies at Avanade, 57% of U.S. business and government leaders expect up to 4x return on investment (ROI) from AI copilots and agents, with most anticipating returns in under 12 months. However, more than half of respondents are still developing their AI business case, and 41% remain stuck at PoC. This impatience for ROI without a clear strategic direction underscores a critical gap: only 30% of organizations are developing a visionary AI strategy.

See also: Most organizations still stuck in ‘firefighting mode’: KPMG

Why a visionary AI strategy matters

A visionary AI strategy serves as a north star, ensuring initiatives align with long-term organizational goals. Without it, AI adoption risks becoming fragmented—a concern highlighted by the 75% of organizations implementing AI in isolated functions, rather than as part of a cohesive framework. For HR leaders, this disjointed approach can lead to uneven workforce readiness, skills gaps and missed opportunities for transformation.

A cohesive strategy starts with understanding the organization’s “why.” This clarity guides innovation, integrates AI into business processes and maximizes the value of existing investments in cloud, data and security. HR professionals play a pivotal role in this journey by fostering organizational alignment and ensuring the workforce is prepared for AI-driven change.

Key questions for HR leaders

To help HR professionals guide their organizations, here are essential questions to consider:

  • Are people-focused processes and roles affected by generative AI clearly understood within your organization?
  • How much support will be required to onboard and train employees in leveraging generative AI tools, such as Microsoft 365 Copilot?
  • What strategies are in place to address potential divisions between AI-enabled and non-enabled employees?

Building readiness for long-term AI value

The research reveals encouraging signs of progress. U.S. organizations are taking foundational steps to prepare for AI’s integration:

  • 98% have accelerated legacy modernization plans.
  • 97% are expediting cloud adoption.
  • 96% recognize the critical importance of securing sensitive data for organizational reputation.

These efforts are crucial for achieving the primary objective of many organizations: integrating AI into processes to create new revenue streams. For HR leaders, these initiatives signal the need to ensure workforce readiness aligns with technological advancements.

Workforce readiness: Prioritizing people over technology

Successful AI adoption hinges on prioritizing people. AI fluency must be woven into the organization’s strategy to address the socio-emotional aspects of technology adoption. Encouragingly, U.S. organizations are stepping up:

  • 98% are prioritizing workforce upskilling and creating new roles to offset potential AI-related job displacement.
  • 84% are emphasizing change management to support evolving workflows.
  • 81% are increasing investments in training and fluency for emerging tech tools.

For HR professionals, this focus on upskilling and change management represents an opportunity to drive meaningful cultural shifts, ensuring employees are not just equipped but also empowered to thrive in an AI-enhanced environment.

Overcoming the stalemate: From PoC to ROI

Organizations stuck at the PoC stage can benefit from starting small, experimenting with pilots to evaluate impact and building a business case for scaling. An experienced partner can provide critical guidance in selecting and implementing the right tools while supporting workforce readiness initiatives. For HR leaders, this means collaborating with partners who can help bridge the gap between technological capability and employee enablement.

The risk of delay

Despite these efforts, 81% of survey respondents fear losing their competitive edge by not implementing AI quickly enough. This urgency underscores the importance of a balanced approach: bold action tempered by thoughtful strategy. HR leaders are uniquely positioned to champion this balance, ensuring their organizations not only adopt AI but also harness its full potential to drive sustainable growth.

Conclusion

In today’s rapidly evolving AI landscape, the difference between success and stagnation lies in an organization’s ability to move beyond proof of concept and toward tangible value. While the pressure to realize swift AI-driven ROI is mounting, a well-defined strategy—rooted in workforce readiness, upskilling and organizational alignment—can help businesses navigate this transformation effectively. HR leaders play a crucial role in bridging the gap between AI’s technological promise and its real-world impact by ensuring employees are empowered, prepared and engaged. By embracing a visionary approach, organizations can turn AI aspirations into lasting competitive advantage, fostering innovation that benefits both business and workforce alike.


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