- AI Adoption Accelerates Rapidly While Governance Frameworks Remain Widely Incomplete
- Productivity growth increases as supervisory structures fail to keep pace
- Companies invest heavily in artificial intelligence tools without matching risk controls
New research warns that the use of artificial intelligence tools within large organizations is expanding at a pace that governance structures are struggling to match.
While many companies now integrate these systems into their daily workflows, a large proportion still lack formal frameworks to manage the associated risks.
Gallagher figures found that 43% of organizations have not introduced structured AI risk management processes, raising concerns about how these systems are implemented and monitored.
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Supervision lags behind adoption
This gap becomes more evident when compared to broader communication efforts, as 56% of organizations have already shared their AI strategies internally.
Despite this, only 44% have carried out impact assessments related to the use of AI, suggesting that communication may be advancing faster than actual oversight mechanisms.
The push toward adoption is largely influenced by reported efficiency improvements related to AI-powered productivity tools.
86% of companies say these technologies have improved employee productivity, reinforcing their increasing role in operational decision-making.
This reported benefit has encouraged companies to invest in skills development, with 47% now offering training designed to help employees use AI tools effectively.
At the same time, 40% of organizations have introduced roles where AI forms a core part of job responsibilities.
Broader figures suggest that almost two-thirds of companies have provided some form of AI training over the past year, reflecting a sustained push in workforce adaptation.
Despite increasing reliance on automation, organizations continue to emphasize the importance of human input in areas where AI remains limited.
Various surveys reveal that creativity remains a key reason for preserving human roles.
Humans remain necessary due to the continued need for direct customer interaction and the ability to handle complex problems that automated systems cannot solve independently.
“For many global businesses, AI is no longer in the testing phase. It’s in the workplace, shaping strategy and driving productivity… It can handle manual and repetitive tasks, freeing employees to spend less on menial jobs and more on what really matters: creative ideas and customer meetings,” said Ben Warren, General Manager of People Data, AI and Innovation at Gallagher.
“As organizations expand their use of AI, risk oversight 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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