Key Takeaway
Enterprise adoption of AI is projected to triple, reducing reliance on hyperscalers and driving revenue growth. CoreWeave’s CEO, Michael Intrator, highlighted the launch of their AI Object Storage service, designed to enhance performance and accessibility for AI workloads. However, a report warns that by 2026, many CIOs may need to address AI failures due to accuracy issues and inadequate governance frameworks. Only 15% of AI decision-makers reported EBITDA increases, prompting finance teams to limit spending. This slowdown could lead to a market correction, but may also lower AI service costs, benefiting strategic buyers.
As their capabilities expand, enterprise adoption is projected to triple, leading to revenue growth that will reduce dependence on hyperscalers.
“Every layer of CoreWeave’s platform is designed to help builders accelerate their progress,” says Michael Intrator, CEO at CoreWeave, as the company introduced its new AI Object Storage service.
“Today, we’re making a significant advancement with CoreWeave AI Object Storage, an industry-leading fully managed object storage service tailored specifically for AI workloads.
“The future of AI relies on performance and accessibility, and we’re making both limitless.”
2026: A Year of AI Failures?
According to the report, a quarter of CIOs will need to intervene to address business-led AI failures within their organizations.
This is linked to accuracy challenges posed by AI and a delay in adopting agentic AIs with the necessary governance frameworks.
The report also highlights that only 15% of AI decision-makers have experienced an EBITDA increase over the past year.
Consequently, finance teams are expected to restrict spending due to the absence of proven returns, hindering AI adoption and prompting a market correction.
However, Forrester suggests that this will lower AI service costs, creating opportunities for more strategic buyers.
