Language and speech leads the latest AI doctorate cohort
Data as of
- Doctorate holders in the cohorts compared
- 1,584
- 2020–2026 cohort
- 66
- Language and speech, latest cohort
- 29%
How has the center of AI moved across doctorate cohorts? We estimate that Language and speech has the largest share among doctorates from 2020–2026: 29%. Language and speech gained the most share from the 1960s to 2020–2026.
Key findings
- Language and speech: 29% of the 2020–2026 cohort: 19 of 66 people.
- Language and speech gained the most share: 16.5 percentage points. Knowledge, logic and reasoning had the largest fall: 12.4 percentage points.
- Recorded early company starts rose from 8% for the 2000s to 21% for the 2010s.
Which areas gained share?
We compare 1,584 people shaping AI that we track. Cohorts use the recorded year of the earliest completed doctorate. Each decade needs at least 50 people with a dated doctorate and an area. Smaller cohorts contain another 24 people.
Current tags describe whole careers, so an area's share can reflect work done after the doctorate. Coverage of well-known people can vary across cohorts.
Language and speech rose from 12.3% in the 1960s to 28.8% in 2020–2026.
What leads the latest cohort?
The 2020–2026 cohort has 66 people. This incomplete decade's shares can change as more people graduate. Computer vision has the next largest share: 15%, or 10 people.
Language and speech: 29% of the 2020–2026 cohort. Bars show all 12 areas represented among 66 people.
Source: People of Superintelligence cited biographies and career records, as of 18 October 2026; OpenAlex (CC0). Areas from current profile tags.
Data table
| Area | People | Share | Share in the 1960s | Change (percentage points) |
|---|---|---|---|---|
| Language and speech | 19 | 28.8% | 12.3% | +16.5 |
| Computer vision | 10 | 15.2% | 23.1% | -7.9 |
| Safety, alignment and evaluation | 9 | 13.6% | 0% | +13.6 |
| Policy, ethics and society | 5 | 7.6% | 0% | +7.6 |
| Robotics and autonomous systems | 4 | 6.1% | 4.6% | +1.4 |
| Systems, hardware and security | 4 | 6.1% | 9.2% | -3.2 |
| Theory, statistics and optimization | 4 | 6.1% | 15.4% | -9.3 |
| Knowledge, logic and reasoning | 3 | 4.5% | 16.9% | -12.4 |
| Science, health and biology | 3 | 4.5% | 0% | +4.5 |
| Reinforcement learning, agents and planning | 2 | 3% | 0% | +3 |
| Human-computer interaction | 2 | 3% | 1.5% | +1.5 |
| Business, products and public voice | 1 | 1.5% | 0% | +1.5 |
| Cognitive science and neuroscience | 0 | 0% | 10.8% | -10.8 |
| General machine learning | 0 | 0% | 3.1% | -3.1 |
| Quantum computing | 0 | 0% | 3.1% | -3.1 |
Do later cohorts enter companies sooner?
We find a company role within 5 years after the doctorate year for 58 of 278 people from the 2010s cohort (21%).
Recorded early company starts rose from 8% for the 2000s to 21% for the 2010s. Bars give the share and count for each of 6 complete doctorate decades. Area counts and shares are in the table.
Source: People of Superintelligence cited biographies and career records, as of 18 October 2026; OpenAlex (CC0). Areas from current profile tags. Company roles come from cited biographies. Corporate labs count with their parent company.
Data table
| Doctorate cohort | Area | People | Company start within 5 years | Share |
|---|---|---|---|---|
| 1960s | All areas | 65 | 0 | 0% |
| 1970s | All areas | 140 | 7 | 5% |
| 1970s | Computer vision | 22 | 1 | 4.5% |
| 1970s | Language and speech | 21 | 1 | 4.8% |
| 1970s | Theory, statistics and optimization | 20 | 0 | 0% |
| 1980s | All areas | 242 | 13 | 5% |
| 1980s | Computer vision | 52 | 2 | 3.8% |
| 1980s | Language and speech | 36 | 1 | 2.8% |
| 1980s | Theory, statistics and optimization | 31 | 0 | 0% |
| 1980s | Knowledge, logic and reasoning | 26 | 4 | 15.4% |
| 1980s | Systems, hardware and security | 22 | 2 | 9.1% |
| 1990s | All areas | 386 | 29 | 8% |
| 1990s | Computer vision | 90 | 8 | 8.9% |
| 1990s | Language and speech | 63 | 10 | 15.9% |
| 1990s | Robotics and autonomous systems | 28 | 1 | 3.6% |
| 1990s | Reinforcement learning, agents and planning | 20 | 1 | 5% |
| 1990s | Theory, statistics and optimization | 55 | 2 | 3.6% |
| 1990s | Knowledge, logic and reasoning | 30 | 1 | 3.3% |
| 1990s | Systems, hardware and security | 24 | 3 | 12.5% |
| 2000s | All areas | 407 | 34 | 8% |
| 2000s | Computer vision | 123 | 17 | 13.8% |
| 2000s | Language and speech | 48 | 7 | 14.6% |
| 2000s | Robotics and autonomous systems | 22 | 0 | 0% |
| 2000s | Reinforcement learning, agents and planning | 25 | 0 | 0% |
| 2000s | Theory, statistics and optimization | 51 | 1 | 2% |
| 2000s | Science, health and biology | 24 | 0 | 0% |
| 2000s | Systems, hardware and security | 33 | 1 | 3% |
| 2010s | All areas | 278 | 58 | 21% |
| 2010s | Computer vision | 70 | 11 | 15.7% |
| 2010s | Language and speech | 61 | 24 | 39.3% |
| 2010s | Robotics and autonomous systems | 21 | 3 | 14.3% |
| 2010s | Reinforcement learning, agents and planning | 23 | 6 | 26.1% |
| 2010s | Theory, statistics and optimization | 23 | 6 | 26.1% |
| 2010s | Science, health and biology | 26 | 3 | 11.5% |
Areas with at least 20 people in both cohorts; cells show shares and people:
| Area | 2000s | 2010s |
|---|---|---|
| Computer vision | 14% (17/123) | 16% (11/70) |
| Language and speech | 15% (7/48) | 39% (24/61) |
| Robotics and autonomous systems | 0% (0/22) | 14% (3/21) |
| Reinforcement learning, agents and planning | 0% (0/25) | 26% (6/23) |
| Theory, statistics and optimization | 2% (1/51) | 26% (6/23) |
| Science, health and biology | 0% (0/24) | 12% (3/26) |
We count the first company role starting after the doctorate year. Roles include founding, visits, internships and jobs held alongside academic work.
Year-only dates limit the count to roles starting in a later year. Missing job histories can lower these shares. Coverage and the mix of career areas can affect comparisons.
Examples: Arindam Mitra: doctorate 2019, Microsoft Research role 2024. Hyung Won Chung: doctorate 2019, OpenAI role 2023.
Career data comes from the biographies on this site and from OpenAlex author records, as of 18 October 2026. People whose OpenAlex record may be incomplete or mixed are left out of citation figures.