HP executive argues for a hybrid approach to business AI

Businesses scaling AI should track what it costs, what value it creates and where each task should run, argues HP executive Neil Sawyer. His case for combining cloud and local AI offers a practical alternative to sending every task to the cloud by default.

Watch Desk analysis

What happened

In a Forbes Councils article published on 12 October, Sawyer, HP’s senior vice-president and managing director for Europe, the Middle East and Africa, says costs that look manageable in small AI pilots can grow as use spreads across teams. He recommends that businesses track spending by team and tool, look for overlapping subscriptions, and judge AI by outcomes such as time saved or higher sales conversion, rather than adoption or token use alone.

Sawyer argues that routine productivity work and some sensitive tasks may suit local processing, while complex reasoning and large-scale analysis can benefit from cloud-based models. He also calls for policies covering approved tools, budgets and which workloads can use external models.

Why it matters

The choice of where to run AI affects more than the infrastructure bill. It can also shape performance and how much sensitive company data passes through external services. Sawyer’s advice is to match the workload to its needs, rather than treat cloud access as the default for everything.

That is a useful management framework, though the article is an argument from an HP executive, not independent evidence that local processing will be cheaper or safer for every business. The sensible starting point is an inventory: what is being used, what it costs and whether it is producing a measurable result.

Our read

“Use AI more” is not a budget strategy. Sawyer’s three questions give finance and IT teams a better way to turn scattered pilots into decisions about cost, value and deployment. The catch is that workload-by-workload decisions need clear ownership and rules, or hybrid AI becomes one more phrase on a slide.

What to watch

• Whether businesses start measuring outcomes alongside AI usage and spend.
• Which tasks organisations choose to run locally rather than through cloud models.
• Whether finance, IT, security and legal teams agree on practical rules for sensitive workloads.

Discussion spark: Should businesses default to local AI for routine or sensitive work, or is the simplicity of cloud services worth the extra cost and data exposure?

Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.