Key Takeaways
- Acceleration vs. Results: AI adoption is speeding up, with 31% of prioritized use cases now in production—double the rate of 2024. However, only about one in four initiatives is meeting its revenue impact goals.
- A Pivot to Growth: Investment is shifting from pure efficiency plays toward revenue-related functions. In 2025, top use cases are CRM automation, sales enablement, and forecasting, a marked change from 2024’s focus on chatbots and IT testing.
- The Performance Paradox: AI is over-performing against expectations in risk management (+7.8%) and compliance (+5.1%). Conversely, it’s significantly under-performing in revenue growth (-10.6%) and direct cost savings (-8.3%).
This report underscores a critical maturity gap in the enterprise AI journey. The hype of experimentation is fading, and organizations are now confronting the harder reality of execution and value creation.
The paradox is clear: enterprises are getting better at using AI to strengthen existing processes (compliance, risk, quality control), yet still struggling to reconfigure for growth and efficiency. This isn’t a failure of the technology—it’s a failure to apply innovation with discipline and intent.
The bottom line? Ambition alone won’t scale AI. Without contextualized data, integrated workflows, and adaptive governance, even the most promising pilots will stall.
Looking ahead to 2026, the leaders will go further—treating AI as a strategic capability, redesigning operating models, and orchestrating value through ecosystems rather than isolated efforts.
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🔎 Do enterprise agentic AI initiatives deliver actual, tangible results?