Analyst firm Gartner has warned that artificial intelligence and the major companies behind it are not yet ready for enterprise use, arguing that the faster organisations adopt AI, the harder it becomes to control or extract value from it. Speaking at Gartner's IT Symposium in Australia, distinguished VP analysts Daryl Plummer and Kristin Moyer said leading AI vendors lack understanding of enterprise terms, liability and continuity, frequently altering models without regard for the applications that depend on them, while businesses cannot afford to fall behind despite this instability.

The pair cited Gartner research showing 86 percent of CIOs believe AI-related risks are growing faster than the value the technology delivers, partly driven by "careless consumption" of AI by staff. They noted that 40 percent of workers have encountered so-called AI slop, with deciphering such content taking roughly two hours on average, equating to some $9 million in wasted work annually at a 1,000-person organisation. Plummer also accused vendors of pushing AI and agents purely to drive monetisation, including dishonest "AIOps" offerings, and both analysts recommended enterprises establish an "AI central bank" to oversee governance and accountability across their organisations.