- AI Adoption Rapidly Accelerates While Governance Frameworks Remain Largely Incomplete
- Productivity gains increase as control structures fail to keep pace
- Companies are investing heavily in AI tools without controlling the risks
The use of AI tools within large organizations is growing at a pace that governance structures are struggling to keep up, new research warns.
Although many companies now integrate these systems into their daily workflows, a large portion still lack formal frameworks to manage the associated risks.
Gallagher’s figures reveal that 43% of organizations do not have structured AI risk management processes in place, raising concerns about how these systems are deployed and monitored.
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Surveillance lags behind adoption
This gap becomes more evident in relation to broader communications efforts, as 56% of organizations have already shared their AI strategies internally.
Despite this, only 44% have completed impact assessments related to the use of AI, suggesting that communication may be progressing faster than actual monitoring mechanisms.
The push toward adoption is largely driven by reported efficiency improvements related to AI-powered productivity tools.
86% of companies say these technologies have improved employee productivity, reinforcing their growing role in operational decision-making.
This reported benefit has encouraged companies to invest in skills development, with 47% now offering training designed to help their employees use AI tools effectively.
At the same time, 40% of organizations have introduced roles where AI is a core part of job responsibilities.
Broader figures suggest that almost two-thirds of companies have provided some form of AI training in the past year, reflecting sustained momentum in workforce adaptation.
Despite increasing reliance on automation, organizations continue to emphasize the importance of human input in areas where AI remains limited.
Several surveys reveal that creativity remains an essential reason for preserving human roles.
Humans remain necessary because of the continued need for direct interaction with customers and their ability to handle complex issues that automated systems cannot resolve independently.
“For many global companies, AI is no longer in testing. It is in the workplace, shaping strategy and driving productivity… It can handle repetitive and manual tasks, allowing employees to spend less time on menial work and more on what really matters: creative ideation and meeting customers,” said Ben Warren, managing director of people, AI and innovation at Gallagher.
“As organizations increase their use of AI, risk monitoring and clear policies will become increasingly important. Overall, the long-term value of AI will depend on combining technological efficiency with human creativity, judgment and trust.”
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