According to technology services giant Capgemini, by 2025, artificial intelligence agents will give you the option to collaborate and solve tasks in a so-called multi-agent AI system.
According to Capgemini, such a system would involve a group of agents working together to resolve tasks in a distributed and collaborative manner.
Pascal Brier, the corporate's chief innovation officer, said in an interview with CNBC that there are already “companies discussing these agent technologies” throughout the company.
He added that applications that use multiple autonomous agents “are what we can really expect in the 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 supervision” – essentially AI agents that work behind the scenes to finish tasks in your behalf.
According to Brier, the US is further along the trail to realising this technology, while Europe is lagging behind.
In a brand new research report released on Monday titled “Harnessing the Value of Generative AI,” Capgemini found that the overwhelming majority of corporations surveyed (82%) plan to integrate AI agents inside one to a few years, while only 7% don’t have any plans to integrate these agents.
The study was based on a survey of greater than 1,100 corporations with sales of $1 billion or more.
Brier said there are two forms of so-called AI agents: single agents that perform tasks in your behalf and multi-agent technology, or “agents talking to agents.”
For example, an AI agent specializing in marketing creating an promoting campaign for a corporation in Germany could independently work with one other agent within the legal department of the identical company to be certain that the campaign is legally compliant.
Unlike traditional AI systems that simply follow instructions, these agents can “understand, interpret, adapt and act autonomously and are capable of replacing human workers in certain tasks,” Capgemini said.
The first big AI wave in 2022, which Brier calls “V1,” was about “understanding what a prompt is and understanding what an LLM [large language model] was,” Brier told CNBC.
Now, “AI and generative AI are getting closer and closer together. It's more about constructing these knowledge machines, using generative AI to interact with those machines, and using the brand new concept of agents as replacements or co-pilots that find and do things for us,” he said.
According to Capgemini, 71 percent of organizations expect AI agents to facilitate automation, while 64 percent of companies expect them to relieve human workers of repetitive tasks and enable them to focus on value-added functions such as the customer experience.
Acceptance gap in GenAI
Capgemini said in its report that the number of companies integrating generative AI into some or most of their sites or functions has increased fourfold. In 2023, the number of companies adopting generative AI was 6%, according to Capgemini, but this year that number has increased to 24%.
While large companies are seeing increasing acceptance in their business processes, this phenomenon has not yet been observed in smaller companies.
According to the report, 10% of companies with annual revenue between $1 billion and $5 billion are implementing generative AI. For companies with annual revenue of $20 billion or more, that number rises to 49%.
“The scale at which larger corporations are running generative AI experiments is larger. So they’ve more ability to measure results and have been capable of move faster. And obviously additionally they invested more on the time than the smaller ones,” Brier told CNBC.
The results also vary across industries. In aerospace and defense, 88% of companies have invested in generative AI, while in retail, that number drops to 66%.
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