Foundation Models AI Stocks
Foundation model AI stocks are the companies that train their own large general-purpose models, the systems other software is built on. Training frontier models takes billions in compute, data, and talent, so this layer is small, capital-intensive, and strategically central: everyone else in the stack either supplies it or builds on it.
Market Cap
$27.00T
AI-Exposed Cap
$16.95T
24h Change
-1.49%
7d Change
+2.20%
Stocks
19
Market data as of the close on . Prices are end of day, not live.
# | Name | Price | 24h | 7d | Market Cap | Volume (24h) | 7d Chart |
|---|---|---|---|---|---|---|---|
| 1 | N NVDA | $225.51 | -1.47% | +5.43% | $5.45T | $19.6B | |
| 2 | A AAPL | $337.02 | -0.80% | +1.39% | $4.92T | $10.6B | |
| 3 | G GOOGL | $337.83 | -3.80% | -1.47% | $4.13T | $11.9B | |
| 4 | M MSFT | $500.59 | +0.52% | +2.10% | $3.72T | $9.7B | |
| 5 | A AMZN | $249.27 | -2.24% | +1.35% | $2.69T | $10.9B | |
| 6 | S SPCX | $148.36 | -4.11% | -1.67% | $1.96T | $8.9B | |
| 7 | M META | $744.10 | +1.02% | +10.60% | $1.90T | $22.5B | |
| 8 | L LLY | $1,150.99 | -1.19% | +1.31% | $1.03T | $2.5B | |
| 9 | T TCEHY | $55.91 | +0.11% | +0.22% | $530.00B | $54.8M | |
| 10 | B BABA | $110.80 | -4.74% | +3.29% | $275.41B | $1.3B | |
| 11 | I IBM | $232.76 | +0.36% | -6.28% | $219.29B | $1.1B | |
| 12 | A ADBE | $240.69 | +1.02% | -3.92% | $95.67B | $927.2M | |
| 13 | R RBLX | $48.99 | -1.76% | +3.29% | $35.00B | $829.3M | |
| 14 | B BIDU | $89.78 | -2.64% | -0.67% | $30.60B | $219.5M | |
| 15 | K KSHTY | $0.75 | +0.01% | +1.66% | $16.14B | $16.7K | |
| 16 | T TEM | $76.59 | -0.78% | +9.46% | $9.40B | $410.1M | |
| 17 | S SOUN | $6.01 | -1.80% | +1.35% | $2.67B | $67.0M | |
| 18 | R RXRX | $3.70 | -8.64% | +15.99% | $1.98B | $87.2M | |
| 19 | A ABSI | $9.74 | -0.76% | +22.73% | $1.67B | $45.9M |
Frequently asked questions
Why does training your own model matter for classification?
Because it separates owning the technology from renting it. Thousands of companies use AI through someone else's model; only a handful carry the cost and capability of training frontier systems themselves. This category tracks the public companies in that second group, where AI is the product rather than a feature.
Can public market investors get exposure to frontier AI labs?
Only partially. Several leading labs remain private, so public exposure comes through the listed companies that train their own models, hold stakes in labs, or supply them. Each stock page notes where the exposure actually comes from, which is often less direct than headlines suggest.
New to the framework? The Start Here guide walks the whole buildout layer by layer, including where Foundation Models fits.