- AI adoption is rapidly accelerating, while governance frameworks remain largely incomplete
- Productivity gains increase as oversight structures fail to keep pace
- Companies are investing heavily in AI tools without matching risk controls
The use of AI tools in large organizations is expanding at a pace that governance structures are struggling to match, new research has warned.
While many companies are now integrating these systems into daily workflows, a large proportion still lack formal frameworks to manage associated risks.
Figures from Gallagher found that 43% of organizations do not have structured AI risk management processes in place, raising concerns about how these systems are implemented and monitored.
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Oversight lags behind adoption
This gap becomes more apparent 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 linked to the use of artificial intelligence, suggesting that communication can evolve faster than actual oversight mechanisms.
The push toward adoption is heavily influenced by reported efficiency improvements associated with productivity tools powered by AI.
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 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 nearly two-thirds of companies have provided some form of AI training in the past year, reflecting continued 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 studies reveal that creativity remains a key reason for maintaining human roles.
Humans remain necessary because of the continued need for direct client interaction and the ability to handle complex problems that automated systems cannot independently solve.
“For many global companies, artificial intelligence is no longer in the testing phase. It’s in the workplace that shapes strategy and boosts productivity… It can handle repetitive and manual tasks, freeing up employees to spend less on menial work and more on what really matters: creative ideas and meeting customers,” said Ben Warren, managing director of People Data, AI and Innovation at Gallagher.
“As organizations scale 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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