Engineering’s AI Reality Check
Published:Dec 19, 2025 12:49
•1 min read
•The Next Web
Analysis
The article highlights a critical issue: engineering leaders often lack the data to justify their AI spending to CFOs. They struggle to demonstrate how AI initiatives are impacting outcomes, relying instead on intuition and incomplete data. This lack of visibility into how work flows, how AI affects delivery, and where resources are allocated poses a significant challenge. The article suggests that this lack of accountability, while perhaps manageable in the past, is becoming increasingly unsustainable as AI investments grow. The core problem is the inability to connect AI spending with tangible results.
Key Takeaways
Reference
““Can you prove this AI spend is changing outcomes, not just activity?””