Going beyond pilots with composable and sovereign AI – MIT Technology Review

Sponsored
AI scaling is hindered by fragmented enterprise infrastructure in a constantly shifting technology ecosystem. A new architectural paradigm of composable, sovereign AI can help enterprises move past pilot purgatory.
In partnership withUniphore
Today marks an inflection point for enterprise AI adoption. Despite billions invested in generative AI, only 5% of integrated pilots deliver measurable business value and nearly one in two companies abandons AI initiatives before reaching production.
The bottleneck is not the models themselves. What’s holding enterprises back is the surrounding infrastructure: Limited data accessibility, rigid integration, and fragile deployment pathways prevent AI initiatives from scaling beyond early LLM and RAG experiments. In response, enterprises are moving toward composable and sovereign AI architectures that lower costs, preserve data ownership, and adapt to the rapid, unpredictable evolution of AI—a shift IDC expects 75% of global businesses to make by 2027.
AI pilots almost always work, and that’s the problem. Proofs of concept (PoCs) are meant to validate feasibility, surface use cases, and build confidence for larger investments. But they thrive in conditions that rarely resemble the realities of production.
“PoCs live inside a safe bubble” observes Cristopher Kuehl, chief data officer at Continent 8 Technologies. Data is carefully curated, integrations are few, and the work is often handled by the most senior and motivated teams.
The result, according to Gerry Murray, research director at IDC, is not so much pilot failure as structural mis-design: Many AI initiatives are effectively “set up for failure from the start.”
Download the article.

Four ways to think about this year's reckoning.
Our AI writers make their big bets for the coming year—here are five hot trends to watch.
By studying large language models as if they were living things instead of computer programs, scientists are discovering some of their secrets for the first time.
The model is built to detect when crimes are being “contemplated.”
Discover special offers, top stories, upcoming events, and more.
Thank you for submitting your email!
It looks like something went wrong.
We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.

© 2026 MIT Technology Review

source
This is a newsfeed from leading technology publications. No additional editorial review has been performed before posting.