AI, adaptability, and the future of CCM
It’s the fourth year that WorldCC has reported on the role and impact of AI within the commercial and contract management process. During that time, we have monitored changing attitudes, a shift from optimism to skepticism, and now, a growing sense of practicality and realism.
These sentiments are mirrored across boardrooms, as AI moves from experimentation to expectation. CEO studies by EY and PwC show senior leaders increasingly viewing AI as central to productivity, resilience, and competitive advantage in an environment of continuing uncertainty - a world defined by volatility, geopolitical disruption, regulatory change, and supply chain fragility.
Yet these same studies reveal an unresolved tension, as this latest WorldCC study directly confirms. While executives are pushing for faster, better decisions, many organizations lack the operating models, data foundations, and governance structures required to deliver them. Indeed, the 2025 WorldCC Benchmark Report found that almost 80% of the organizations surveyed are struggling to develop the adaptability needed to operate effectively in today’s market conditions. Transformation is constrained by execution capability.
Contract and commercial management (CCM) sits at the heart of this challenge and represents a critical insight into the dilemma facing business executives. For many, contract management is seen as a standardized activity, a prime candidate for full automation. On one level, they are right -but this is a story of transformation, not elimination. Contracts govern how organizations commit resources, manage risk, respond to change, and realize value. If AI is to improve decision-making at scale, it must work through a contracting system designed to enable, rather than a compliance model that operates as a bottleneck. Simply moving today’s contract management tasks into AI systems will add to inflexibility and expose process inadequacies. AI represents an opportunity for fresh thinking and value uplift, an opportunity for broad organizational efficiencies. Indeed, if we summarize the findings of this study, we find:
“When respondents are forced to prioritize value, they consistently rank capability, innovation, and productivity above cost reduction or compliance. This suggests organisations see modern contract management as an efficiency tool, but as an enabler of better commercial decisions and strategic capacity.”
This report brings together three perspectives:
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CEO expectations from global studies,
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Practitioner experience from WorldCC’s 2026 AI survey across buy-side and sell-side CCM professionals,
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Operational reality and future aspiration from the WorldCC2025 Global CCM Benchmark and other related studies.
Together, they provide a holistic view of where commercial and contract management capabilities stand today, and how they must change to meet business needs and executive priorities.
The evolving story of AI
As the figure ' Practitioners expectations of the benefits of AI'shows, back in 2024, ‘increased productivity ' was the top realized benefit, cited by 44%. The data suggests practitioners now value accuracy and strategic time allocation more highly than pure productivity gains. The latest ranking of user benefits represents a positive endorsement of AI.
Practitioners expectations of the benefits of AI

Impact of AI on daily tasks in contracting

Where Generative AI (GenAI) is being used

Looking to the future
To support this shift, the aspirations for implementation priorities represent a significant change from current implementation patterns. The data reveals that practitioners are looking beyond the basic AI capabilities they’re currently using (such as metadata extraction and clause extraction) toward more strategic, value-driven applications, see the 'Top 5 AI implementation priorities' figure.

The emphasis on Contract benchmark and Supplier evaluation / selection further reinforces practitioners’ aspirations to use AI for more strategic and better informed decision-making rather than just operational efficiency. These capabilities would enable organizations to make more informed contracting decisions based on comparative data and supplier performance analytics.
While current AI use cases tend to focus on ‘safe space’activities like contract summarization and metadata extraction, practitioners’ aspirations show they’re ready to embrace AI for more complex, strategic functions that require greater confidence in AI outputs.
Conclusion

Taken together, these findings suggest that AI in contract and commercial management has moved beyond experimentation but has not yet reached institutional maturity. Individuals are already finding value in AI-enabled tools, yet organisations are struggling to translate that experience into scalable, governed capability.
Written by
An international, cross-industry career that has moved from corporate management to extensive research, advisory and capability development services to public, private and third sector organisations. Tim has lived and worked in the UK, France (3 years), and the United States (20 years), building an impressive research and entrepreneurial record with a demonstrated commitment to delivering social benefit. As Founder and President of World Commerce & Contracting (formerly International Association for Contract & Commercial Management), Tim has built a 72,000-member worldwide non-profit association which increasingly influences commercial policies and contracting practices in major corporations and governments. In September 2019, he was presented with the Financial Times ‘Market Shaper of the Year Award. Tim was, until recently, Professor and Chair of International Commercial & Contract Management at the University of Leeds, School of Law, where he taught and led the development of inter-disciplinary commercial programs. Prior to founding World Commerce & Contracting, Tim was on the Chairman’s staff at IBM Corporation and led the development of worldwide commercial processes and skills. His early career included management roles in the banking, automotive and aerospace industries, where he led negotiations up to $1.5 billion in value. He has served in advisory roles for government departments in various countries, including the US, UK, Australia, Canada, and Japan.
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