Businesses That Benefit From AI vs. Businesses That Provide AI

In a recent CNBC interview from Davos, Ray Dalio laid out how he’s thinking about today’s shifting monetary and technological landscape. He highlighted two core exposures he wants in his portfolio: gold as a diversifier in a breaking monetary order, and businesses that use new technologies like AI to transform how they operate.​

Dalio frames gold as “the second-largest reserve currency,” not a metal to speculate on. He suggests that in a neutral strategic asset mix, gold might reasonably be 5–15% because it tends to do well when financial assets do not, and he argues that central banks are still structurally underweight it. The more interesting piece for equity investors, though, is his focus on the “wonderful technological revolution” we’re living through and the disruptions it is creating.​

Crucially, Dalio is not just talking about hyperscalers or model builders. He explicitly points to “the impact of those [AI technologies] on companies that are going to use that,” and says he wants part of his portfolio in those beneficiaries. In other words, the big opportunity may lie with firms that quietly embed AI into their processes, products, and decision-making, rather than only those selling AI infrastructure.​​

Evaluating whether a business can benefit from AI starts with a few practical lenses:

• Monetizable use cases: Does the company have clear, high-value processes where better prediction, automation, or personalization can move revenue, cost, or risk in a meaningful way?
• Data and distribution: Does it control proprietary data and own strong customer relationships or distribution channels where AI-enhanced offerings can be rolled out at scale?
• Execution capacity: Is leadership investing in AI talent, tooling, and change management so that experiments actually translate into deployed systems across the organization?
• Economic capture: Will AI-driven gains fall to the bottom line or accrual to customers and competitors via price pressure or faster commoditization?

Businesses that score well on these dimensions may never brand themselves as “AI companies,” yet they can be among the biggest winners of the AI era by using these tools to build more resilient, profitable, and adaptive models—exactly the kind of structural edge Dalio is trying to capture.