Update August 5, 2026: Accounting for strict garden leaves, the friction of verifying specific 'senior' job titles, and aggressive retention efforts by established labs led to a slight downward revision in the median and upper bounds for the projected headcount.
As of mid-2026, Safe Superintelligence (SSI) operates with an intentionally lean headcount of roughly 50 employees and maintains extreme corporate secrecy finance.yahoo.com. Currently, only two publicly verifiable individuals clearly mee
Accounting for strict garden leaves, the friction of verifying specific 'senior' job titles, and aggressive retention efforts by established labs led to a slight downward revision in the median and upper bounds for the projected headcount.
Update August 5, 2026: Evaluated against the strict job title definitions and garden-leave onboarding delays that broadly suppress verifiable talent mobility across the sector, the estimate and its upper bounds were slightly reduced.
Founding Cohort and Early Momentum Thinking Machines Lab (TML) launched in February 2025 with an unusually large founding cohort of approximately 30 researchers and engineers, roughly two-thirds of whom came from OpenAI 2 sources. This initial group was
Evaluated against the strict job title definitions and garden-leave onboarding delays that broadly suppress verifiable talent mobility across the sector, the estimate and its upper bounds were slightly reduced.
Update August 5, 2026: Accounting for strict 6-to-12-month garden leave policies that frequently delay the start dates of senior talent moving between frontier labs , the estimated distribution for qualifying early hires was revised moderately downward.
Discovery Loop was announced on August 5, 2026, by a founding team of Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le, structured as a public benefit corporation focused on automating machine learn
Accounting for strict 6-to-12-month garden leave policies that frequently delay the start dates of senior talent moving between frontier labs , the estimated distribution for qualifying early hires was revised moderately downward.
Update August 5, 2026: Factoring in stringent seniority title requirements, lengthy garden leaves, and intense competition among new AI labs for a finite pool of elite researchers led to a slight downward revision of the estimated hires.
Reflection AI is uniquely positioned as the "cleanest DeepMind fork" with enormous capital and compute backing. Founded in March 2024 by qualifying ex-Google DeepMind senior researchers Misha Laskin and Ioannis Antonoglou 2 sources, the lab has scaled ag
Factoring in stringent seniority title requirements, lengthy garden leaves, and intense competition among new AI labs for a finite pool of elite researchers led to a slight downward revision of the estimated hires.
Update August 5, 2026: Accounting for strict garden-leave delays and intense competition from other massively funded labs targeting the same local talent pool led to slightly lower projections across the median and upper bounds.
Ineffable Intelligence operates from a formidable starting position. Founded in late 2025 by David Silver—formerly Google DeepMind’s reinforcement-learning lead 3 sources—the London-based lab emerged from stealth
Accounting for strict garden-leave delays and intense competition from other massively funded labs targeting the same local talent pool led to slightly lower projections across the median and upper bounds.
Update August 5, 2026: Accounting for intense competition among emerging labs for the same pool of European senior technical talent and the delaying effects of strict garden leaves prompted a slight downward revision across the distribution.
Current Baseline and Qualifying Roster
AMI Labs, despite its substantial $1.03B capitalization and rapid scaling, currently employs a very limited number of researchers who meet the strict "senior" criteria from the target big-three labs. A rigorous re
Accounting for intense competition among emerging labs for the same pool of European senior technical talent and the delaying effects of strict garden leaves prompted a slight downward revision across the distribution.