According to Cointelegraph, Marc Benioff, CEO of Salesforce, has expressed his belief that the future of artificial intelligence (AI) lies in autonomous agents rather than large language models (LLMs) like those used in AI chatbots. Speaking on The Wall Street Journal’s “Future of Everything” podcast on November 23, Benioff suggested that the capabilities of LLMs have reached their peak. He noted that the widespread fascination with tools like ChatGPT has led many to overestimate the power of AI, mistakenly viewing LLMs as the primary drivers of technological advancement.
Benioff argues that the real potential for AI advancement is in autonomous agents, which can operate independently to perform tasks such as sales communications and marketing campaigns. He envisions these agents as a means to replace bureaucratic processes with a more efficient system that serves individuals rather than political interests. Salesforce is already moving towards this vision by integrating prebuilt AI agents for customer service automation, aiming to enhance productivity, improve employee performance, and strengthen customer relationships.
Despite the enthusiasm surrounding AI, Benioff cautions against overhyping its current capabilities. He criticizes those he refers to as “AI priests and priestesses” for making exaggerated claims about AI’s potential to solve major global issues like curing cancer or addressing climate change. He believes such claims do a disservice to businesses that could benefit from realistic applications of AI to boost margins, revenues, and customer engagement.
In addition to Salesforce, other major players in the tech industry are also exploring the potential of autonomous agents. OpenAI is preparing to launch its own agent, codenamed “Operator,” in January 2025, which will be capable of independently performing tasks such as coding and travel booking. Nvidia, the world’s largest company by market capitalization, is also focusing on AI agents, with CEO Jensen Huang highlighting the growing enterprise adoption of this technology during the company’s Q3 earnings call on November 20. The shift towards agentic AI is gaining momentum, with companies eager to leverage its capabilities for enhanced operational efficiency.