The rise of artificial intelligence-powered agents working together in a “multi-agent AI” system is projected to become a reality by 2025, according to Capgemini. This innovative system will involve a network of agents collaborating to solve tasks in a distributed and cooperative manner. Pascal Brier, the Chief Innovation Officer at Capgemini, emphasized that companies are already engaging in discussions surrounding the implementation of such agent technologies. It is anticipated that applications utilizing multiple autonomous agents will become commonplace in the near future.
Capgemini defines AI agents as technological entities capable of operating independently, strategizing, reflecting, pursuing higher-level objectives, and executing intricate workflows with minimal human supervision. These agents function surreptitiously to accomplish tasks on behalf of users. There are two categories of AI agents according to Brier: individual agents performing tasks autonomously and multi-agent technology where agents communicate with one another to achieve collective objectives.
The initial wave of AI technology in 2022, referred to as “V1” by Brier, was primarily focused on comprehending prompts and large language models (LLMs). Currently, there is a progression towards closer integration between AI and generative AI. This entails establishing knowledge engines, utilizing generative AI to interact with these engines, and incorporating agents as substitutes or co-pilots to carry out tasks. Capgemini reports that numerous organizations anticipate AI agents enhancing automation processes and relieving human workers of repetitive duties, enabling them to concentrate on value-added functions like enhancing customer experience.
Although the adoption of generative AI is on the rise, varying levels of implementation are observed across different industries and company sizes. Larger corporations have exhibited a higher propensity for adopting generative AI compared to smaller firms. Research by Capgemini indicates that 10% of companies with annual revenues of $1 billion to $5 billion are currently implementing generative AI. In contrast, nearly half of enterprises with annual revenues exceeding $20 billion have embraced generative AI. Industry-specific variations are also evident in the adoption rates of generative AI, with aerospace and defense leading at 88% and retail lagging behind at 66%.
According to Capgemini’s report on “Harnessing the Value of Generative AI,” a significant majority of companies surveyed (82%) are planning to integrate AI agents within the next one to three years. As the field of AI continues to evolve, the collaboration between multiple agents in a multi-agent AI system is poised to revolutionize the way tasks are accomplished. The advanced capabilities of AI agents to comprehend, interpret, adapt, and operate independently signify a major technological advancement that has the potential to replace human labor for certain functions. With the expanding adoption of generative AI across various sectors, the future holds great promise for the efficiency and innovation that can be achieved through multi-agent AI systems.
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