Singapore – A significant adoption curve was observed to have increased with utilisation of use cases across the spectrum, with organisations noting nearly one-quarter integrating generative AI into some of their locations or functions, an increase from 6% in 2023. This is according to the latest report by the research institute Capgemini.
In the report, recent technological developments have also made public tools more accessible to non-experts. As a result, around 97% of organisations allowed employees to use generative AI in some capacity, with over half enforcing specific guidelines for employees to follow.
It was further noted that organisations still need clear guardrails to validate decisions made by multi-agent systems. These, according to the report, are essential to ensuring transparency and accountability in operations and to mitigating the future risks that public tools may pose to their organisation.
A significant 80% of organisations, on the other hand, have increased their year-on-year investment in generative AI, indicating a shift in operations and business models.
In addition, about 74% believe that generative AI is boosting their revenue and innovation. This implied an anticipated transition from the role of a supportive tool to that of an independent agent with increased execution capability, enabling organisations to rethink their business strategies and derive even greater value from their AI investments.
Interestingly, while the report shows a strong trust in artificial intelligence agents for specific tasks, it was also noted that leaders are aware of the need to maintain this trust and ensure ethical transparency in the development and deployment of AI.
Pascal Brier, chief innovation officer at Capgemini and member of the group executive committee, said, “Generative AI is starting to transform business, and organisations are already seeing concrete growth in revenue while also accelerating innovation. As a result, rather than solely focusing on cost optimisation, businesses are actively exploring new avenues to leverage its capabilities and drive value creation.”
He continued, “As investment increases, the rise of more complex, autonomous AI systems signals a new era of generative AI that could impact the way companies operate. To propel their AI journeys forward, organisations should establish strong data foundations with clear processes to manage siloed data and enable data integration across functions.”
“Trust, transparency, and accountability will continue to play a central role while embracing this next frontier of AI that has the potential to deliver significant value over time,” Pascal further explained.
