# Gartner Warns AI and Its Promoters Are Not Enterprise-Ready AI adoption outpacing control and ROI, says Gartner. - **Source:** [www.theregister.com - Articles](https://brifing.si/source/2c34ea50-d341-4a10-925d-12c012a9ad10) - **Published:** 2026-09-14 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/a83ea510-e4ba-4563-9029-ff80bdaa6be9 ## AI Adoption Challenges Gartner’s annual IT Symposium highlighted the challenges of AI adoption in enterprises. Analysts Daryl Plummer and Kristin Moyer emphasized that AI and its leading proponents remain immature. Plummer noted that AI vendors lack understanding of enterprise terms, liability, and consistency. Frequent model updates disrupt applications relying on AI outputs, creating instability. Enterprises face a dilemma: they cannot afford to ignore AI, yet its rapid pace of innovation is hard to manage. ## Trust Issues with AI Vendors Plummer criticized AI vendors for lacking enterprise-grade reliability. He argued that trust in these vendors is unwarranted, as they fail to address enterprise needs. Vendors frequently alter models without considering the impact on dependent applications. This creates a cycle of instability, forcing enterprises to constantly adapt. Plummer described this as an 'out-of-control pace of innovation,' where enterprises are left scrambling to keep up. ## Risks Outweigh Benefits Gartner research revealed that 86% of CIOs believe AI risks are growing faster than its value. Early AI successes create unsustainable demand, overwhelming IT departments. Moyer highlighted 'careless consumption,' where workers use AI frivolously or inappropriately. This leads to inefficiencies, such as employees spending hours deciphering AI-generated errors. Moyer warned that AI is invading enterprises through existing products, making it hard to track and control. ## Cost of Careless AI Use Moyer cited alarming statistics on the cost of careless AI use. In a 1,000-person organization, deciphering AI-generated errors can cost $9 million annually. She compared this to past cloud computing inefficiencies, where developers used costly instances unnecessarily. Enterprises must learn from these mistakes to manage AI consumption effectively. Moyer stressed the importance of establishing controls to prevent frivolous AI use. ## Alternative Automation Solutions Plummer advised enterprises to consider alternative automation technologies. He argued that building AI agents for simple tasks, like database interactions, is unnecessary. Traditional function calls can often achieve the same results more reliably. Plummer blamed vendors for pushing AI solutions to monetize the technology, rather than offering the best solutions. He warned that vendors’ motivations often prioritize sales over effectiveness. ## Governance and Accountability Gartner recommended establishing an 'AI central bank' to oversee AI use across organizations. This body would ensure accountability and manage systemic risks. Moyer emphasized the need for digital evidence systems to track AI actions. Without such systems, enterprises risk being held accountable for AI failures. Plummer added that CIOs must take responsibility for AI governance, as failures could have severe consequences. ## Guardian Agents and Recovery Teams To manage rogue AI, Gartner suggested deploying 'guardian agents' to monitor AI behavior. These agents would have the authority to disable problematic AI systems. Additionally, enterprises should establish disaster recovery teams to address AI-related issues. Plummer warned that blaming AI for failures is not a viable defense. Enterprises must proactively manage AI risks to avoid accountability pitfalls. ## The Fragmented AI Market Plummer described the AI governance tools market as highly fragmented. Vendors are creating tools to sell products rather than offering effective solutions. This mirrors the sales cycle of new technologies, where marketing often precedes functionality. Enterprises must navigate this fragmented market carefully, ensuring they adopt tools that genuinely address AI risks. Gartner’s recommendations aim to help enterprises achieve this balance. ## Sources covering this story - https://www.theregister.com/ai-and-ml/2026/09/14/ai-and-its-main-promoters-are-not-enterprise-ready-says-gartner/5296074 — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._