ISG Study Reveals Current Limitations and Future Potential of Agentic AI in Various Industries

Reuters

06-03

ISG Study Reveals Current Limitations and Future Potential of Agentic AI in Various Industries

STAMFORD, Conn.--(BUSINESS WIRE)-- A new research report by Information Services Group (ISG) reveals that while expectations for agentic AI to autonomously perform complex tasks are high, nearly half of current agentic production systems are limited to triggering predefined actions. The ISG State of Agentic AI Market report, presented at the 2025 ISG AI Impact Summit in Boston, highlights the current capabilities, future prospects, and challenges of agentic AI. The report suggests that companies will initially adopt agentic AI for IT infrastructure and back-office tasks, with a shift towards automating complex front-office and service delivery tasks expected in the next two to three years. Despite challenges with legacy data and organizational readiness, industries such as banking, retail, and manufacturing are leading in the adoption of agentic AI. Service providers are employing pre-built solutions for quick results while investing in more complex systems, with enterprises looking beyond profitability to reinvent products and business models.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. ISG - Information Services Group Inc. published the original content used to generate this news brief via Business Wire (Ref. ID: 20250603537860) on June 03, 2025, and is solely responsible for the information contained therein.

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ID: 20250603537860) on June 03, 2025, and is solely responsible for the information contained therein.</span></em>\n</div></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"III","symbol_name":"信息服务","start_time":0,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20250603:nNDL1s0gVT:1","article_id":"2540703510","we_media_id":"1032215980","thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2540703510","pubTimestamp":1748964615,"columns":[],"sourceInfo":null,"weMediaInfo":{"media_name":"Reuters","introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"id":"1032215980","head_image":"https://community-static.tradeup.com/news/4567337cbdf294b657b1fa87c5488b48"},"summary":"STAMFORD, Conn.---- A new research report by Information Services Group  reveals that while expectations for agentic AI to autonomously perform complex tasks are high, nearly half of current agentic production systems are limited to triggering predefined actions. 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