June 26 (Bloomberg) -- Analysts Gartner In a press release issued locally in Sydney yesterday, it was predicted that by the end of 2027 more than 40% will have been lost due to rising costs, unclear business value or inadequate risk controls. Agent / Agent AI (Agentic AI) The project will be canceled.
Gartner believes thatThe AI smart body concept boom that has intensified this year is largely the result of speculation, and the "smart bodyization" of many projects is merely rebranding., there will be a wave of retreat after the market calms down.
Anushree Verma, senior director analyst at Gartner, said:
- at present,Most AI intelligences projects are early-stage experiments or proof of concepts, most of these programs are driven by hype and are often misused.
- this willMaking the real cost and complexity of deploying AI intelligences at scale invisible to organizationsThey need to make careful strategic decisions about where and how to apply this emerging technology through the hype. They need to make careful strategic decisions about where and how to apply this emerging technology through hype.
- Most AI intelligence programs areLack of significant value or return on investment, because current models are not mature enough, nor do they have the ability to autonomously achieve complex business goals or follow nuanced instructions over time.
- To get real value from AI intelligences, theFirms must focus on enterprise productivity, not just individual task enhancement.
- For starters, organizations can use AI intelligences when decisions need to be made, automation for routine workflows, and assistants for simple retrieval. It's all about driving business value through cost, quality, speed and scale.
And on the data side, Gartner expectsOnly about 130 of the thousands of proxy AI providers are realBy 2028, at least 15% of day-to-day work decisions will be made autonomously by intelligences, and 33% of enterprise software applications will contain intelligences.
According to a Gartner survey of 3,412 participants, 19% said their organization invested heavily in AI intelligences, 42% said their organization invested conservatively, 8% said their organization did not invest, and the remaining 31% said their organization was on the sidelines or unsure.