Adoption of AI agents: Conflicting forecasts
Global analytics firm Gartner has released a forecast that indicates significant growth in the adoption of artificial intelligence (AI) agents within enterprise applications. According to the forecast, less than 5% of applications will use these specialized agents in 2025, while the percentage is expected to rise to 40% by 2026. In the long term, proxy AI could contribute up to 30% of enterprise software revenue by 2035, suggesting that companies that are late adopters may face stiff competition from companies that are quick to innovate.
Warnings against early adoption
Despite the optimism, Gartner warns of the risks associated with hasty adoption of AI agents. To date, 95% of AI implementations in business have failed. Experts emphasize that agents can boost productivity and value, but they are still at a fragile stage and require rigorous testing before any large-scale deployment. The report does not fully explain the reasons for these failures, and whether they are related to the technology itself or the way it is integrated into the work environment.
The Critical Decision Period for Businesses
Gartner identified a critical time period of three to six months for companies to strategize on proxy AI. It emphasized the need for a balance between capitalizing on innovation and avoiding hasty decisions that may come under the pressure of media hype and exaggerated expectations. Analysts warned that haste could backfire and lead to potential losses for companies that adopt the technology without a thorough study.
Analytical conclusion
Proxy AI represents a major strategic opportunity for businesses, but it is still fraught with risk. Companies that make calculated and thoughtful decisions will be able to capitalize on the innovation, while hasty adopters may incur financial and operational losses. Gaps in the report also point to the need for more details on why most implementations fail and how to test proxies before any mass deployment.