The future of AI is at the edge
If AI is to deliver for businesses over the long term, then CIOs need to look beyond running large-language models in the cloud and instead consider deploying fine-tuned models that run locally on endpoints. Running AI on user devices also helps solve the other challenges associated with cloud-centric AI: Data sovereignty Performance and responsiveness Optimised models User privacy By beginning the transition to Copilot+ PC today, organisations will be ready to take full advantage of future AI-e
If AI is to deliver for businesses over the long term, then CIOs need to look beyond running large-language models in the cloud and instead consider deploying fine-tuned models that run locally on endpoints.
Running AI on user devices also helps solve the other challenges associated with cloud-centric AI:
- Data sovereignty
- Performance and responsiveness
- Optimised models
- User privacy
By beginning the transition to Copilot+ PC today, organisations will be ready to take full advantage of future AI-enabled enterprise applications and deliver a faster, more efficient and sustainable user experience. Make Copilot+ PCs the cornerstone of your IT stack.
Download the whitepaper to learn more
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About this article
- Length
- 104 words · 1 min read
- Published
- October 20, 2026
- Source
- CIO.com Africa