AI Workers Collaborating: A New Era of Multi-Agent Systems Expected by 2025

AI workers that can work together to arrive in 2025, says Capgemini - Times of India

Artificial intelligence (AI) has come a long way from the simple chatbots of the past. Now, AI is developing into autonomous agents capable of performing tasks independently, marking a significant leap forward, with implications for nearly every industry. On similar lines, French IT company Capgemini has predicted the emergence of multi-agent AI systems by 2025.These systems will consist of multiple AI agents working together to solve complex problems. It said that these AI agents will be independent entities capable of planning, learning, and executing tasks with minimal human oversight. They will collaborate to achieve common goals, much like human teams, thereby enabling more efficient problem-solving, increased productivity, and innovative solutions to complex challenges. What is an AI agent and a multi-agent system In a report titled, "Harnessing the value of generative AI" by the Capgemini Research Institute, the company talks about top use cases of AI across sectors. "We define an AI agent as a technology designed to function independently, plan, reflect, pursue higher-level goals, and execute complex workflows with minimal or limited direct human oversight," the company said in its report. Similarly, a multi-agent system is a collection of these agents working together to solve tasks in a distributed and collaborative way. "Such systems exhibit characteristics traditionally found exclusively in human operators, including decision-making, planning, collaboration, and adapting execution techniques based on inputs, predefined goals, and environmental considerations," the company explained. According to Pascal Brier, the company's chief innovation officer, Capgemini is already "seeing companies that are discussing those agent technologies." In an interview with CNBC, he added that applications using multiple autonomous agents "is really what we should expect next year." "As AI technology progresses, they will transition from the role of supportive tool to that of independent agent with full execution capability. Unlike conventional AI systems, as well as following instructions, these agents can understand, interpret, adapt, and act independently and, for certain tasks, are capable of replacing human workers," it said in the report. The TOI Tech Desk is a dedicated team of journalists committed to delivering the latest and most relevant news from the world of technology to readers of The Times of India. TOI Tech Desk's news coverage spans a wide spectrum across gadget launches, gadget reviews, trends, in-depth analysis, exclusive reports and breaking stories that impact technology and the digital universe. Be it how-tos or the latest happenings in AI, cybersecurity, personal gadgets, platforms like WhatsApp, Instagram, Facebook and more; TOI Tech Desk brings the news with accuracy and authenticity.

Solo to squad: AI workers will be able to talk to each other by 2025

Only 39% are taking a "wait-and-watch" approach, which demonstrates the reality of its potential to enhance productivity and innovation and disrupt industries. Multi-system AI, a key research area in artificial intelligence, involves "agents talking to agents," according to Capgemini and reported by CNBC. These agents, equipped with specialized skills and data assets, collaborate to make decisions autonomously. Their report suggests that applications with multiple agents "is really what we should expect to see next year," Pascal Brier, Capgemini's chief innovation officer revealed to CNBC. According to their report that surveyed over 1,100 companies, the speed at which generative AI has taken over industries around the world is phenomenal unprecedented as to the level of interest. The number of large-scale companies integrating multi-system AI leapt from 6-24% between 2023 and 2204 whereas smaller organizations continue to lag behind. "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," as reported by CNBC. Currently, the U.S. is in the lead.