100% of Business Leaders Use AI in Their Operations Today: Report
The Dynatrace report reveals that trust and reliability create a significant hurdle, preventing organizations from moving AI initiatives out of the experimental phase.
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[Image source: Chetan Jha/MITSMR Middle East]
Hundred percent of business leaders are using artificial intelligence (AI) as part of their operations today, with top use cases being data management (57%), AI governance (50%), and security operations (46%). This is according to AI-powered observability platform Dynatrace, which drew insights from 842 CIOs, CTOs, and other senior technology leaders globally.
The study’s sample was drawn from six countries, including 206 respondents from the US, and over 120 each from Germany (125), France (129), Spain (130), Italy (128), and Japan (124).
The report reveals that issues of trust and reliability create a significant hurdle, preventing organizations from moving AI initiatives out of the experimental phase and into full production, despite rising adoption rates.
“Enterprise IT software and applications must evolve from simply adding AI to existing systems toward building truly AI-native experiences,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace.
Notably, AI use cases such as sustainability (27%) and log management (29%) presented promising opportunities for organizations to expand adoption and unlock greater efficiency and ROI. Meanwhile, real-time detection of and response to security risks (37%) and anomaly detection (41%) have emerged as two major categories where business leaders expect AI-powered automation to deliver significant value.
Regarding governance and trust, 25% of business leaders name improving AI governance as their top priority, while 69% of AI decisions still require human verification to ensure accuracy. Data governance leaders deem data quality and predictability (50%) and data privacy (45%) as their top two areas of concern with AI reliability.
Observability and Beyond
Observability is the ability to understand the internal state or condition of a complex system based solely on knowledge of its external outputs. Over 50% of business leaders envision automated real-time observability solutions to enhance customer experience by 2026-end.
“This shift introduces new challenges for observability, as organizations must ensure their AI-driven systems are transparent, reliable, and scalable. Observability becomes the critical foundation, providing the shared intelligence needed to navigate these challenges, make smarter decisions, and drive safe, efficient automation at scale.”
Meanwhile, 46% of business leaders anticipate optimizing AI model configurations to be the greatest ROI of AI-powered observability. The observability budget has soared in the past year, as per over 50% respondents, with 75% expecting budgets to increase in the next fiscal year.
“Observability is shifting from reporting telemetry about application health to informing the decisions that run the business,” said Reitbauer. “As more of those decisions are supported by AI, observability becomes the key to unlocking the full potential of AI‑driven decision support, providing the trustworthy context, guardrails, and feedback loops leaders need to act with confidence at scale.”
