Morgan Stanley: Nvidia, the Big Winner of AI's Future

Morgan Stanley and the Futures of AI: A Strategic Analysis

Morgan Stanley, the renowned investment bank, has recently undertaken an in-depth study on the possible trajectories of artificial intelligence in the coming years. The goal was to determine which types of AI models might dominate the market and which companies would emerge as winners. Three distinct scenarios were considered: the predominance of closed models, the rise of open models, and a hybrid future combining both approaches. In each of these cases, one company appears to be in a strong position to capitalize on the evolution of the sector.

Future Scenarios for AI

• Closed Wins: In this first scenario, closed and proprietary AI models continue to dominate the market. Companies choose to pay leading AI labs to benefit from optimal performance, enhanced security, and ease of use. This scenario also favors cloud giants such as Amazon and Google, as well as companies that provide essential components like chips and network equipment. Companies like Nvidia and Bloom Energy would be particularly advantaged, as they supply the necessary infrastructure to operate these massive AI systems.

• Hybrid World: The second scenario, considered the most realistic by Morgan Stanley, is that of a hybrid world. Here, companies would use closed AI models for complex tasks while turning to open and customizable models for more routine tasks. This would allow for broader adoption of AI across public clouds, private data centers, and company-owned hardware. Opportunities would multiply for cloud providers, infrastructure software, and cybersecurity firms. Among the potential beneficiaries are hyperscale cloud providers like Amazon, Google, and Microsoft, as well as software companies such as Datadog, Palantir, Crowdstrike, Okta, and ServiceNow.

• Open Wins: The third scenario envisions a future where open models become as performant and accessible as their proprietary counterparts. Reduced costs would encourage companies to adopt AI more widely, with an increase in workloads executed in their own data centers or on local devices rather than on centralized cloud services. This would benefit enterprise hardware manufacturers, security software, and edge computing equipment. Microsoft would remain a major player in this context, but new leaders would emerge among Chinese AI labs and tech giants from China, such as MiniMax, Z.ai, Alibaba, and Tencent. Dell, HP, and Apple would also be well-positioned to thrive, thanks to their expertise in manufacturing devices capable of handling AI models and services close to end users.

Consistent Winners

Despite the diversity of scenarios considered, Morgan Stanley identified consistent winners. Nvidia stands out as the primary beneficiary in each of the three scenarios, due to the ongoing demand for AI servers and networks, regardless of the type of software that predominates.

Cloud giants, although their importance varies by scenario, remain key players. Microsoft particularly shines in the open models scenario, while Amazon and Google are better positioned if proprietary models dominate or if the market stabilizes in a hybrid approach.

Morgan Stanley's overall conclusion is that the debate over which type of AI model will ultimately prevail may be less crucial than many investors imagine. Indeed, as long as AI adoption continues to grow, companies providing the necessary infrastructure for its deployment could thrive, regardless of which future materializes.