Autonomous AI Workers that Talk to Each Other Will Arrive in 2025, Capgemini Predicts

Artificial intelligence-powered agents will be able to work together and solve tasks in a so-called “multi-agent AI” system by 2025, according to technology services giant Capgemini.

Such a system would entail a collection of agents that work together to solve tasks in a distributed and collaborative way, according to Capgemini.

Pascal Brier, the company’s chief innovation officer, told CNBC in an interview that the firm is already “seeing companies that are discussing those agent technologies.”

He added that applications using multiple autonomous agents “is really what we should expect next year.”

Capgemini defines AI agents as “technology designed to function independently, plan, reflect, pursue higher-level goals, and execute complex workflows with minimal or limited direct human oversight” — essentially, AI agents that work behind the scenes to complete tasks on your behalf.

Artificial intelligence-powered agents will be able to work together and solve tasks in a so-called “multi-agent AI” system by 2025, according to technology services giant Capgemini.

Such a system would entail a collection of agents that work together to solve tasks in a distributed and collaborative way, according to Capgemini.

Pascal Brier, the company’s chief innovation officer, told CNBC in an interview that the firm is already “seeing companies that are discussing those agent technologies.”

He added that applications using multiple autonomous agents “is really what we should expect next year.”

Capgemini defines AI agents as “technology designed to function independently, plan, reflect, pursue higher-level goals, and execute complex workflows with minimal or limited direct human oversight” — essentially, AI agents that work behind the scenes to complete tasks on your behalf.

Now, “AI and generative AI are getting closer together, and it’s much more about building those engines of knowledge, using generative AI to interact with those engines, and using this new notion of agents as being either a substitute or co-pilot to find and do things for us,” he said.

According to Capgemini, 71% of organizations are anticipating AI agents will facilitate automation, while 64% of firms expect they’ll relieve human workers of repetitive tasks and allow them to focus on value-added functions, like customer experience.

Adoption gap in genAI

Capgemini said in its report that it’s seen a fourfold increase in the number of organizations now integrating generative AI into some or most of their locations or functions. In 2023, the number of firms adopting generative AI was 6%, according to Capgemini, but this year, that number has risen to 24%.

However, while large companies are seeing heightened levels of adoption in their businesses, smaller firms are yet to experience the same phenomenon.

According to the report, 10% of firms with an annual revenue of $1 billion to $5 billion are implementing generative AI. For companies with an annual revenue of $20 billion or more, that number swells to 49%.

“The scale at which bigger companies are doing generative AI experiments is bigger, so they get more chances to measure results, and were able to get faster, and obviously they did invest more than then than the smaller ones,” Brier told CNBC.

Results also varies from industry to industry. In aerospace and defense, 88% of organizations have invested in generative AI, for retail, that number drops to 66%.