1.99
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Asian graduates' share of AI hardware-related master's degrees relative to their share of all US master's degrees, 2024
What the chart shows
In AI hardware-related fields such as electrical engineering, Asian students’ share of master’s degrees at US institutions is 1.99 times their share of all master’s degrees, and 1.48 times at bachelor’s level. At associate’s level they are underrepresented (0.88), while white (1.25) and Native American or Alaska Native students (1.16) are overrepresented.
Black and Native Hawaiian or Pacific Islander students are underrepresented at every level, falling to 0.51 and 0.33 at master’s level. Native American representation drops from 1.16 at associate’s level to 0.46 at master’s level; Hispanic students rise from 0.71 to 0.93.
Key numbers
| Measure | Value |
|---|---|
| Asian, master's | 1.99 |
| Asian, bachelor's | 1.48 |
| White, associate's | 1.25 |
| Native American or Alaska Native, associate's | 1.16 |
| Black, master's | 0.51 |
| Native Hawaiian or Pacific Islander, master's | 0.33 |
How to read it
- Each value is a group’s share of 2024 graduates in AI hardware-related majors divided by its share of all graduates at the same degree level; 1 means proportional representation.
- The data covers associate’s, bachelor’s and master’s degrees; the report’s chart legend also lists PhD, but the file has no PhD values.
- US institutions only (IPEDS).
Source: National Center for Education Statistics, Integrated Postsecondary Education Data System, 2024, via the AI Index Report 2026 (Stanford HAI), figure 7.2.4: AI hardware–related vs. all postsecondary graduates in the United States by race/ethnicity, 2024. Chart and text by AI Adoption.
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
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