Technology
Monday, July 22nd, 2024 2:30 pm EDT
Key Points
- Multi-Agent AI Systems by 2025: Capgemini anticipates that by 2025, AI-powered agents will collaborate within a “multi-agent AI” system to solve tasks in a distributed and collaborative manner. These AI agents are designed to function independently, plan, reflect, pursue higher-level goals, and execute complex workflows with minimal human oversight.
- Widespread Adoption Plans: A significant majority (82%) of companies surveyed by Capgemini plan to integrate AI agents within the next one to three years, with only 7% having no such plans. The research indicates a growing trend towards adopting these technologies, especially among larger companies with more resources for experimentation and implementation.
- Industry and Regional Disparities: The U.S. is leading in the development and adoption of AI agent technologies, while Europe is trailing. Adoption rates vary significantly across industries and company sizes, with larger firms and sectors like aerospace and defense (88% adoption) being more proactive compared to smaller firms and sectors like retail (66% adoption).
According to Capgemini, by 2025, artificial intelligence-powered agents will be able to collaborate and solve tasks within a “multi-agent AI” system, representing a significant technological advancement. Pascal Brier, Capgemini’s chief innovation officer, mentioned that companies are already discussing these agent technologies, and applications using multiple autonomous agents are expected to emerge next year. AI agents are designed to operate independently, plan, reflect, and execute complex tasks with minimal human oversight, essentially functioning behind the scenes to complete tasks on behalf of humans.
The U.S. leads in developing this technology, while Europe lags. A recent Capgemini report, “Harnessing the Value of Generative AI,” found that 82% of surveyed companies plan to integrate AI agents within the next one to three years, and only 7% have no such plans. The survey included over 1,100 companies with revenues exceeding $1 billion. AI agents are categorized into individual agents, which perform specific tasks, and multi-agent systems, where agents interact to complete tasks collaboratively. For instance, a marketing AI agent creating an ad campaign could work autonomously with a legal department AI agent to ensure compliance.
Unlike conventional AI systems, these agents can understand, interpret, adapt, and act independently, potentially replacing human workers for certain tasks. Brier explained that the first major wave of AI in 2022 focused on understanding prompts and large language models (LLMs). The current wave involves integrating generative AI with knowledge engines and using AI agents as substitutes or co-pilots to perform tasks.
Capgemini’s research indicates that 71% of organizations expect AI agents to facilitate automation, while 64% believe they will relieve human workers of repetitive tasks, allowing them to focus on value-added functions such as customer experience. The report also highlights a fourfold increase in the number of organizations integrating generative AI into their operations. In 2023, only 6% of firms were adopting generative AI, but this number rose to 24% this year. However, adoption varies significantly between large and small companies. Only 10% of firms with annual revenues between $1 billion and $5 billion are implementing generative AI, compared to 49% of companies with annual revenues of $20 billion or more.
This disparity is attributed to the larger scale and investment capacity of bigger companies, allowing them to conduct more extensive generative AI experiments and achieve faster results. Industry adoption also varies, with 88% of aerospace and defense organizations investing in generative AI, while only 66% of retail companies have done so.
For the full original article on CNBC, please click here: https://www.cnbc.com/2024/07/22/ai-that-can-talk-with-other-ai-will-launch-in-2025-capgemini-predicts.html
