Only 13 percent of companies see real returns from AI, Gartner survey finds
Gartner surveyed 2,002 CIOs and found only 13% of companies are seeing real business value from AI investments, while 51% expect AI to increase operating costs.
Key Takeaways
- Key Highlight：Gartner surveyed 2,002 CIOs and found only 13% of companies are seeing real business value from AI investments, while 51% expect AI to increase operating costs.
- Innovation & Tech：Highlights advancements in Only, AI, Gartner, demonstrating rapid progress in model capabilities.
- Industry Impact：Reported via The Decoder, offering actionable signals for developers and technology leaders.
Gartner released findings from a survey of 2,002 chief information officers, revealing that only 13 percent of companies report achieving genuine business returns from their AI investments. At the same time, 51 percent of respondents expect AI to push their operating costs higher, and 75 percent of CEOs plan to continue raising technology budgets despite the limited payoff.
The gap between AI spending and measurable outcomes has been a recurring theme in enterprise technology research. Many organizations have adopted generative AI tools and machine learning pipelines, but translating pilots into production systems that drive revenue or efficiency remains a significant challenge.
The survey highlights a tension between executive enthusiasm and operational reality. CEOs are doubling down on AI budgets, yet CIOs are seeing costs climb without proportional value. This disconnect could lead to budget scrutiny and a shift toward more targeted, use-case-driven AI deployments rather than broad platform investments.
For the AI industry, the data suggests that vendors will need to focus more on delivering measurable ROI and reducing implementation friction. Enterprises are likely to become more selective, favoring solutions with clear cost-benefit analyses and faster time-to-value over general-purpose AI platforms.
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Industry Insights & Analysis
As artificial intelligence rapidly evolves, breakthroughs surrounding Only, AI, Gartner, CIOs are shifting toward scalable, robust real-world implementations.
Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.