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The AI race has already begun. Are you keeping pace?

As AI moves deeper into work, organizations need the capabilities to continually reshape operations, roles, and their culture alongside it.

Eagle Hill Consulting surveyed senior business leaders to understand how organizational capabilities are evolving alongside AI adoption. We found that while AI is increasingly embedded in core operations, management practices, workforce strategies and organizational cultures are not evolving at the same pace.

Realizing AI momentum

The senior business leaders we interviewed have already realized measurable results with their AI investment:

Productivity
Efficiency
Quality
Customer Experience
66%
reported improved productivity
59%
have seen improvement in operational efficiency
55%
report quality improvement
53%
have noted improved customer experience
Productivity
66%
reported improved productivity
Efficiency
59%
have seen improvement in operational efficiency
Quality
55%
report quality improvement
Customer Experience
53%
have noted improved customer experience

AI adoption is outpacing organizational adaptation

The real race isn't about the technology. It's about changing how work gets done and the degree to which organizations have to adapt and change. The proof? 84% of senior executives report current cultural factors are limiting AI success.

Q: What factors most influence AI success?

Data quality and availability
52%
Technology platforms and infrastructure
47%
Work redesign
18%
Culture
9%

Adaptation is critical

AI adoption is accelerating faster than organizational adaptation. The biggest challenge today is redesigning work and building the management practices that allow organizations to realized AI's full potential.

The leaders in our study identified three areas where organization are lagging:

Outdated work design
Limited planning
Insufficient development
Only 45%
continuously review and improve work
Only 47%
systematically identify AI opportunities
Only 31%
include AI development in workforce planning
Outdated work design
Only 45%
continuously review and improve work
Limited planning
Only 47%
systematically identify AI opportunities
Insufficient development
Only 31%
include AI development in workforce planning

What does winning look like?

The good news is: we are in the early stages of what AI is capable of and we're seeing the benefits. Organizational leaders in our study identified these top areas where they are seeing positive change.

Expertise
High-value work
Creativity
Well-being
89%
more opportunities to build expertise
88%
more opportunities to focus on high-value work
78%
more opportunities for creative or intellectually engaging work
58%
decreased burnout
Expertise
89%
more opportunities to build expertise
High-value work
88%
more opportunities to focus on high-value work
Creativity
78%
more opportunities for creative or intellectually engaging work
Well-being
58%
decreased burnout

Methodology

The Eagle Hill Consulting AI Capabilities Survey was conducted by Ipsos from August 3-6 2026. For this survey, 306 people employed in a position of director or above at U.S. companies with annual revenue of at least $100 million, where AI adoption is established were interviewed online in English. The respondent composition include 102 C-suite executives (33%), 96 senior vice presidents or vice presidents (31%) and 108 directors (35%).

Ready to help your organization keep pace with AI?

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