Antipodes Partners flags potential $1 trillion AI buildout by 2027, citing NVIDIA as a core beneficiary

Antipodes Partners, a global investment manager, is drawing attention to the possibility of a large-scale buildout of AI infrastructure by 2027, according to a Q1 2026 investor letter it published this week. The letter describes an AI infrastructure demand path that it characterizes as reaching $1 trillion by 2027, and it highlights “key performance stocks” tied to the buildout theme, including NVIDIA.

The letter was shared alongside a market report that frames the thesis around how quickly data center spending for AI workloads could expand. NVIDIA is the marquee name in the report, reflecting how the company supplies GPUs and related computing platforms that are widely used in AI training and inference workloads.

NVIDIA’s business is closely linked to the so-called “AI infrastructure” stack. In plain terms, that refers to the hardware and systems that let companies run machine learning models, including graphics processing units (GPUs), servers, networking, and software tools that help move and optimize workloads at scale. When investors talk about AI infrastructure demand, they are generally referring to spending by cloud providers, enterprises, and other operators that need compute capacity for AI applications.

In its discussion of the market outlook, Antipodes positions the AI infrastructure ramp as a driver for its selected equities. The accompanying report notes that Antipodes also discussed portfolio changes and its forward-looking view in the same letter, though it does not provide those specifics in the information visible here.

For NVIDIA, the importance of such commentary is that it can influence market expectations around demand for data center accelerators and related platforms. Even when these are investor letters rather than company guidance, they often help shape the narrative around whether AI spending is accelerating or merely transitioning.

The report’s central claim, $1 trillion in AI infrastructure demand by 2027, is an estimate attributed to Antipodes, not to NVIDIA. Without additional detail from the letter itself in the available material, it is not possible to verify how Antipodes defines “AI infrastructure demand,” what portion of spending it includes, or the assumptions behind the forecast.

As of the publication of the market piece, the information provided does not specify whether Antipodes believes the forecast depends on particular regulation, capacity constraints, or any specific product transitions. It also does not disclose whether the firm ties the estimate to a particular geographic breakdown or customer segment, such as cloud service providers versus enterprises.

Investors will likely watch for confirmation or pushback on the broader theme in company disclosures and industry spending indicates, including NVIDIA’s data center revenue trends, commentary on customer capacity and order timing, and broader indicators of AI server deployments. For now, the $1 trillion figure stands as a forward-looking market thesis published by Antipodes, with NVIDIA positioned as a key stock aligned with that view.