- Autonomous AI agents capable of intercommunication are expected to debut by 2025, according to Pascal Brier, Capgemini’s chief innovation officer, as reported by CNBC.
- This “multi-agent AI” system involves a network of agents collaborating to tackle tasks in a distributed manner.
- For instance, a marketing AI agent might collaborate with a legal AI agent to ensure the compliance of an ad campaign concept in United Kingdom.
Capgemini predicts that artificial intelligence-powered agents will collaborate in a “multi-agent AI” system by 2025. This system involves a network of agents working together to solve tasks collaboratively.
Pascal Brier, Capgemini’s chief innovation officer, told CNBC that companies are already discussing these agent technologies.
He added that applications using multiple autonomous agents are expected next year.
Capgemini describes AI agents as technology designed to function independently, plan, reflect, pursue higher-level goals, and execute complex workflows with minimal human oversight.
Essentially, these AI agents work behind the scenes to complete tasks on behalf of users.
Brier noted that the U.S. is ahead in realizing this technology, while Europe is lagging. In a new report titled “Harnessing the Value of Generative AI,” Capgemini found that 82% of surveyed companies plan to integrate AI agents within one to three years, with only 7% having no plans. The research surveyed over 1,100 companies with revenues of $1 billion or more.
Brier explained that AI agents fall into two types: individual agents that perform tasks on your behalf and multi-agent technology where agents communicate with each other. For example, a marketing AI agent creating an ad campaign in Germany could collaborate with a legal AI agent to ensure compliance.
Unlike conventional AI systems that merely follow instructions, these agents can understand, interpret, adapt, and act independently, potentially replacing human workers for certain tasks. Brier referred to the first major wave of AI in 2022 as “V1,” focusing on understanding prompts and large language models (LLMs).
Adoption Gap in GenAI
Capgemini reported a fourfold increase in organizations integrating generative AI across various locations or functions. In 2023, only 6% of firms adopted generative AI, but this year, that number has risen to 24%.
Large companies are seeing higher adoption levels, while smaller firms lag behind. For instance, 10% of firms with annual revenues between $1 billion and $5 billion are using generative AI. In contrast, 49% of companies with annual revenues of $20 billion or more have adopted the technology.
“The larger scale of generative AI experiments in big companies allows them to measure results faster and invest more,” Brier told CNBC. Adoption rates also vary by industry. In aerospace and defense, 88% of organizations have invested in generative AI, while in retail, the number is 66%.
