96,150
▼ 13% since the 2020 peak
bachelor's graduates in AI hardware-related fields at US institutions, 2024
20142024
What the chart shows
Bachelor’s degrees in AI hardware-related fields, which include electrical and electronics engineering and industrial engineering, peaked at 110,511 in 2020 and fell to 96,150 in 2024, a 13% drop. Associate’s degrees fell from 27,449 in 2014 to 18,748.
Graduate degrees are roughly flat: 43,373 master’s graduates in 2024, close to 2016’s 43,445, and 9,555 PhD graduates, below the 2022 high of 9,917. Across all four levels, 167,826 people graduated in 2024, 8% below the 2018 high of 182,252.
Key numbers
| Measure | Value |
|---|---|
| Bachelor's, 2020 (peak) | 110,511 |
| Bachelor's, 2024 | 96,150 |
| Master's, 2024 | 43,373 |
| Associate's, 2014 | 27,449 |
| Associate's, 2024 | 18,748 |
| PhD, 2024 | 9,555 |
How to read it
- AI hardware-related majors follow the January 2025 White House AI Talent Report and include Electrical and Electronics Engineering, Condensed Matter and Materials Physics, and Industrial Engineering.
- Degrees completed at US institutions (IPEDS), including by international students.
- The all-level total is the sum of the four degree levels in the data file.
Source: National Center for Education Statistics, Integrated Postsecondary Education Data System, 2024, via the AI Index Report 2026 (Stanford HAI), figure 7.2.1: New AI-related postsecondary graduates in the United States, 2014–24 (AI hardware–related). 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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