Brainstorming AI workers could take over workplaces in 2025: Capgemini

Capgemini, a global leader in technology services, announced to CNBC that large-scale businesses are expected to implement “multiple-agent AI systems” as early as next year.

In a research report just released, “Harnessing the Value of Generative AI,” Capgemini quantified that 96% of organizations worldwide have Generative AI currently on their boardroom agendas.

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 .

On the brink: Companies worldwide are already implementing Generative AI

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.

The report found that 83% believe the chatbots are the most relevant generative AI application. About 70% think it will lead to greater efficiency at work enabling them to concentrate on strategy rather than routine tasks.

Additionally, 69% of executives foresee that AI will create new roles such as AI auditors and ethicists. Furthermore, 74% agree that its benefits outweigh the potential risks.

However, 51% of relevant consumers note that the lack of clarity on underlying data used to train these sophisticated AI programs is a challenge that industries will face. Thus, the report seeks to support organizations build the necessary strategic and operational architecture to drive its adoption and suggests taking a human-centric approach to build user and consumer trust.

However, Capgemini’s report reveals that many business are on route to massively adopt multi-agent AI systems though IT seems to be positioned to become the global leader.

The future of AI

Originally developed in the 1980s, the Multi-Agent Systems (MAS) grew out of the Distributed Artificial Intelligence (DAI) as a novel, more-developed, promising technology, as per an academic paper.

In this complex system, agents exhibit social ability, reactivity, autonomy, and proactivity. They perceive their environment and react accordingly in tandem with other agents. Pascal Brier told CNBC that these systems could replace human workers.

A marketing AI can communicate with a legal AI , independently, for example, to assess if a marketing campaign can be diffused in a specific country as per CNBC. All the same, as the research reveals, new roles are anticipated to become relevant whereas other tasks are expected to be automated.

As the Alan Turing Institute outlines , “a vast array of applications can be addressed using MAS methodologies, including autonomous driving, multi-robot factories, automated trading, commercial games, automated tutoring, etc.”

The future of AI is at our doorstep.