2027 AI capex bets are already taking shape
4 AI spend leaders to watch in 2027: OpenAI, Anthropic, xAI, and CoreWeave, with multigigawatt plans and massive capex ahead.
Which AI companies are set to dominate 2027 spending?
Four AI companies are shaping 2027 spending with multigigawatt compute plans and huge capex targets.
| Item | 2027 signal | Compute / capex detail |
|---|---|---|
| OpenAI | Stargate plan | 6GW GPU deployment agreement with AMD |
| Anthropic | AMD deployment deal | Up to 2GW of compute systems, first 1GW in H1 2027 |
| xAI | Capex forecast | 2027 AI business capex expected to reach $73.9B |
| CoreWeave | Infrastructure role | Expected to remain a key compute supplier |
1. OpenAI
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OpenAI is the clearest example of how compute demand can reshape AI strategy. The Stargate plan, paired with a 6GW GPU deployment agreement with AMD, points to a company building for scale rather than incremental growth.
That matters because GPU supply is becoming a strategic constraint, not just a procurement line item. If OpenAI keeps expanding infrastructure at this pace, its product roadmap and partner network could both be pulled forward by years.
- Stargate plan
- 6GW GPU deployment agreement with AMD
- Focused on large-scale compute expansion
2. Anthropic
Anthropic is taking a more measured but still very large route. Its agreement with AMD covers up to 2GW of compute systems, with the first 1GW scheduled to begin in the first half of 2027.
This gives Anthropic a clear runway for model training and deployment without matching the absolute scale of OpenAI. For readers tracking the next AI spending cycle, Anthropic looks like a company aiming for disciplined expansion with enough capacity to stay in the race.
- Up to 2GW compute systems
- First 1GW starts in H1 2027
- AMD partnership for infrastructure growth
3. xAI
xAI is the most aggressive on the spending side in this set. The reported 2027 capex figure for its AI business is $73.9 billion, which signals a very high tolerance for infrastructure cost in exchange for speed and scale.
That kind of number changes how investors and rivals read the company. It suggests xAI is not trying to optimize around scarcity, but around rapid expansion, with compute and capital deployed as a competitive weapon.
- 2027 AI business capex: $73.9B
- Built for rapid infrastructure expansion
- High-spend strategy versus efficiency-first rivals
4. CoreWeave
CoreWeave may not be the headline model builder, but it is part of the story because every major AI plan needs infrastructure behind it. As demand for GPU clusters rises, companies like CoreWeave become central to how quickly AI firms can actually ship products.
For readers looking beyond model names, CoreWeave is the kind of company that can benefit when the market shifts from training hype to real deployment budgets. Its role is less about brand recognition and more about being where the compute gets delivered.
- Compute infrastructure provider
- Benefits from rising GPU demand
- Important to AI deployment capacity
How to decide
If you want the most direct signal of where AI spending is going, start with OpenAI and xAI. OpenAI shows the scale of infrastructure ambition, while xAI shows how far capex can be pushed when growth is the main priority.
If you want a more balanced view, Anthropic and CoreWeave matter just as much. Anthropic shows disciplined capacity planning, and CoreWeave shows who may profit when the rest of the market needs more chips, racks, and cloud capacity.
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