AI model usage patterns reveal rapid enterprise adoption trends

As AI transitions to operational use, organizations face challenges in monitoring performance, costs, and reliability. Without observability, AI becomes an unreliable black box, undermining confidence and slowing innovation.

New Relic's 2024 Observability Forecast shares insights from 85,000 customers on managing AI performance and costs:

• ChatGPT processes 86% of large language model tokens, with developers shifting versions
• AI monitoring adoption grew 30% quarterly as risks of unmonitored AI rise
• Python leads AI development with 45% growth, while Java rises 34% as AI integrates with systems

Read the full research to see why AI monitoring is key to agility and resilience.