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Stanford Digital Economy Lab

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uuid0006za8

Namestring
Stanford Digital Economy Lab
Legal namestring
Stanford Digital Economy Lab
Company typeenum
Private
Founded yearint
2020
Descriptiontext

Stanford Digital Economy Lab is an interdisciplinary academic research organization founded in 2020 within Stanford University, operating as the primary economic research hub of the Stanford Institute for Human-Centered AI (HAI) and co-sponsored by the Stanford Institute for Economic Policy Research (SIEPR). The Lab studies how digital technologies and artificial intelligence are transforming work, organizations, and economic value creation, with the stated mission of advancing shared prosperity in an AI-driven economy. Its core outputs include the AI Economic Indicators platform (with the Canaries Dashboard tracking AI's employment effects on entry-level workers using ADP payroll data covering ~4.6 million workers across 730+ occupations, the Takeoff Tracker measuring AI-driven economic growth, and the Adoption Monitor tracking AI diffusion), proprietary metrics such as GDP-B (a well-being measure accounting for free digital goods), the Centaur Evaluations framework for measuring human-AI team performance, and the DELIBERATION.IO open-source deliberation platform.

The Lab's technical work spans natural language processing (DeliberationJudge fine-tuned DeBERTa, LLM-generated deliberation summaries), structured economic analysis (real-time labor market analytics on ADP payroll data covering 26+ million employees), and multimodal AI for civic deliberation. Recent research publications include findings that workers aged 22–25 in AI-exposed occupations have experienced a 3.8% annual employment decline since ChatGPT's release while least-exposed jobs grew 2% annually, and that consumer surplus from generative AI tools grew from $116B to $172B with the user base expanding from 98 million to 115 million US adults between July 2025 and March 2026.

The Lab is funded through Stanford institutional resources, sponsored research grants (notably from Schmidt Sciences for the AI at Work initiative), and a Corporate Affiliate Program priced at $50,000 per year with five publicly named members (ADP, Autodesk, Capgemini, Denso International America, and Nasdaq). Its go-to-market is community-led, relying on academic publications, free public platforms, media coverage, conferences (including Davos), and a podcast series. The Lab serves policymakers, business executives, workers, and academic researchers as primary audiences.

Short descriptiontext

Stanford Digital Economy Lab is an academic research organization within Stanford HAI that studies AI's economic impact through tools like the AI Economic Indicators platform, novel metrics (GDP-B, Centaur Evaluations), and partnerships including ADP for payroll data, serving policymakers, business executives, and workers.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersStanford, United States
HQ citystring
Stanford
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
digital economy research, AI labor analytics, economic policy research, workforce analytics platform, AI economic measurement
Industry2 codes
1AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryYes
2AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety)
CodeHDAEANAFPrimaryNo
NAICS code3 codes
  • Scientific Research and Development Services5417
  • Research and Development in the Social Sciences and Humanities54172
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Computer Programming Services7371
  • Services-Computer Integrated Systems Design7373
Product category
Economic Research
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model2 records
1Corporate Affiliate Program
TypeSubscription Recurring
Description

Annual membership fee of $50,000 providing industry partners access to Lab research, events, and networking with academics. Members may provide additional funding for specific research projects.

digitaleconomy.stanford.edu
2Research Grants and Sponsored Research
TypeProfessional Services
Description

Funding from organizations like Schmidt Sciences for specific research initiatives such as the AI at Work program

digitaleconomy.stanford.edu
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Operations, Marketing or Sales
Pricing details2 tiers
1Corporate Affiliate Program
ModelSubscriptionBilling cadenceAnnual
Notes

$50,000 per year. Benefits include invitations to virtual and in-person events, engagement with Lab faculty and students, recognition on Lab website and at events, and option to engage in Lab sponsored research projects.

digitaleconomy.stanford.edu
2AI Economic Indicators Platform
ModelFreemiumBilling cadencePay-as-you-go
Notes

Free publicly accessible platform with dashboards, data, and research-based methods for policymakers, researchers, employers, and workers.

prnewswire.com
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

Stanford Digital Economy Lab is an interdisciplinary academic research lab at Stanford University that studies how artificial intelligence and digital technologies transform labor markets, productivity, and economic value creation. Its core deliverables include the AI Economic Indicators platform (with Canaries Dashboard, Takeoff Tracker, and Adoption Monitor), the National Employment Report partnership with ADP, the DELIBERATION.IO open-source deliberation platform, novel metrics such as GDP-B, and frameworks like Centaur Evaluations. The Lab is funded through Stanford University, research grants, and a Corporate Affiliate Program charging $50,000 per year for industry engagement.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • 3.8% annual decline in employment for workers 22-25 in AI-exposed occupations since ChatGPT
+2 more records
Product overview1 text field

Stanford Digital Economy Lab is a research organization (not a commercial product company) that develops tools, metrics, and platforms for understanding AI's economic impact. The core offering is the AI Economic Indicators platform, which includes three dashboards: the Canaries Dashboard (tracking employment effects of AI on entry-level workers using ADP payroll data), the Takeoff Tracker (measuring AI-driven economic growth), and the Adoption Monitor (tracking AI adoption patterns). Related offerings include the National Employment Report partnership with ADP, the Centaur Evaluations framework for human-AI collaboration assessment, the Loyal Agents initiative for trustworthy AI agents, and DELIBERATION.IO for democratic engagement. Additional research outputs include GDP-B (well-being metric), the Suitability for Machine Learning Rubric, The Digitalist Papers publication series, and the Machine Learning podcast. The Lab also publishes working papers, journal articles, and books on AI economics, future of work, and digital economy measurement.

Product and service6 records
1AI Economic Indicators Platform
CategoryEconomic Indicators Platform
Description

A publicly accessible platform tracking how artificial intelligence influences labor markets, productivity, technology adoption, and economic value creation, featuring three dashboards and research-based methods for policymakers, researchers, employers, and workers.

2DELIBERATION.IO
CategoryOpen-Source Deliberation Platform
Description

Open-source digital platform facilitating structured deliberation and democratic engagement at scale, featuring evidence-based design, full transparency, modular architecture, and AI augmentation of human judgment.

3National Employment Report (ADP)
CategoryEmployment Data Report
Description

Collaborative project with ADP providing an independent measure of private-sector employment with monthly and weekly job growth estimates based on anonymized ADP payroll data covering 26+ million private-sector employees.

4Corporate Affiliate Program
CategoryIndustry Membership Program
Description

Annual membership program at $50,000 per year providing industry partners with event invitations, faculty and student engagement, website recognition, and options to co-fund Lab sponsored research projects.

5The Digitalist Papers
CategoryResearch Publication
Description

Publication series of essays exploring implications of transformative AI on global economy, work, and institutions, with Volume 2 focused on the Economics of Transformative AI.

6Machine Learning: How Did We Get Here? Podcast
CategoryEducational Podcast
Description

Podcast series hosted by Lab Digital Fellow Tom Mitchell featuring interviews with pioneers of machine learning, telling the history of the field through personal stories of the people who built it.

Scale indicator6 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-11-21
Description

Collaboration on the Loyal Agents initiative to develop trustworthy AI agents that act transparently and in consumers' best interests, addressing risks associated with autonomous AI agents.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Primary data partner providing anonymized payroll data covering 26+ million employees. Collaboration includes the ADP National Employment Report and AI Economic Indicators platform with the Canaries Dashboard tracking AI's impact on employment.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

MIT's flagship research group studying the digital economy and AI's economic impact. Most directly comparable given Executive Director Christie Ko's prior tenure as Associate Director and overlapping research agendas on AI and labor.

TypeDirect peer
Description

Sister Stanford HAI initiative tracking AI progress and societal impact annually. Comparable as a Stanford-anchored AI measurement/research effort with overlapping AI economic indicators mandate.

TypeDirect peer
Description

Think tank producing policy research on AI, digital economy, and labor markets. Comparable as a non-academic research organization publishing AI economic evidence for policymakers and executives.

TypeBroad incumbent
Description

Larger commercial research arm publishing AI economic impact studies for enterprise and policy audiences. Comparable in scope of AI-and-labor research but operates as part of a global consultancy.

TypeBroad incumbent
Description

Multilateral initiative providing data, analysis, and policy guidance on AI's economic and societal effects. Comparable as a producer of authoritative AI economic indicators for policymakers.

TypeDirect peer
Description

NYU-based research institute examining AI's social and economic implications. Comparable as a small, mission-driven research organization producing AI policy and economic analysis.

TypeEmerging player
Description

Nonprofit focused on steering transformative AI toward beneficial outcomes. Overlaps on AI economic-policy research, particularly with the Digitalist Papers framing of transformative AI.

TypeBroad incumbent
Description

Premier economics research network where Brynjolfsson serves as Research Associate. Comparable as the publishing and convening venue for the Lab's working papers and economic research output.

TypeRegional player
Description

ADP's in-house research arm that co-produces the National Employment Report. Most directly comparable as the data-partner organization producing labor-market analytics from the same underlying dataset.

TypeEmerging player
Description

Anthropic's team publishing studies on AI's economic and labor effects. Comparable as a newer entrant producing primary AI-economic research with proprietary data advantages.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

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Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

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Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers2 records

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Name, Industry, Type, Use case, Source, UUID

Segment4 records

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Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

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Title, Differentiator, Description, Source

Core technology
Revenue estimate
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Number of profiles
Profiles3 records

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Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Stanford Digital Economy Lab

Stanford Digital Economy Lab is an academic research organization within Stanford HAI that studies AI's economic impact through tools like the AI Economic Indicators platform, novel metrics (GDP-B, Centaur Evaluations), and partnerships including ADP for payroll data, serving policymakers, business executives, and workers.

What Stanford Digital Economy Lab does

Stanford Digital Economy Lab is an interdisciplinary academic research organization founded in 2020 within Stanford University, operating as the primary economic research hub of the Stanford Institute for Human-Centered AI (HAI) and co-sponsored by the Stanford Institute for Economic Policy Research (SIEPR). The Lab studies how digital technologies and artificial intelligence are transforming work, organizations, and economic value creation, with the stated mission of advancing shared prosperity in an AI-driven economy. Its core outputs include the AI Economic Indicators platform (with the Canaries Dashboard tracking AI's employment effects on entry-level workers using ADP payroll data covering ~4.6 million workers across 730+ occupations, the Takeoff Tracker measuring AI-driven economic growth, and the Adoption Monitor tracking AI diffusion), proprietary metrics such as GDP-B (a well-being measure accounting for free digital goods), the Centaur Evaluations framework for measuring human-AI team performance, and the DELIBERATION.IO open-source deliberation platform.

The Lab's technical work spans natural language processing (DeliberationJudge fine-tuned DeBERTa, LLM-generated deliberation summaries), structured economic analysis (real-time labor market analytics on ADP payroll data covering 26+ million employees), and multimodal AI for civic deliberation. Recent research publications include findings that workers aged 22–25 in AI-exposed occupations have experienced a 3.8% annual employment decline since ChatGPT's release while least-exposed jobs grew 2% annually, and that consumer surplus from generative AI tools grew from $116B to $172B with the user base expanding from 98 million to 115 million US adults between July 2025 and March 2026.

The Lab is funded through Stanford institutional resources, sponsored research grants (notably from Schmidt Sciences for the AI at Work initiative), and a Corporate Affiliate Program priced at $50,000 per year with five publicly named members (ADP, Autodesk, Capgemini, Denso International America, and Nasdaq). Its go-to-market is community-led, relying on academic publications, free public platforms, media coverage, conferences (including Davos), and a podcast series. The Lab serves policymakers, business executives, workers, and academic researchers as primary audiences.

Stanford Digital Economy Lab firmographics

Firmographics
Name
Stanford Digital Economy Lab
Legal name
Stanford Digital Economy Lab
Website
https://digitaleconomy.stanford.edu
Company type
Private
Founded year
2020
Operating status
Operating
Headcount range
11–50 employees
Short description
Stanford Digital Economy Lab is an academic research organization within Stanford HAI that studies AI's economic impact through tools like the AI Economic Indicators platform, novel metrics (GDP-B, Centaur Evaluations), and partnerships including ADP for payroll data, serving policymakers, business executives, and workers.
Ownership category
akta.pro rank

Stanford Digital Economy Lab industry classification

Industry
Product category
Economic Research
NAICS
Scientific Research and Development Services (5417), Research and Development in the Social Sciences and Humanities (54172), Computer Systems Design and Related Services (54151)
SIC
Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
AI/ML Engineering & Model Development Services (BPAEAHAF)
akta.pro secondary industry
AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

Keywords

  • Digital economy research
  • AI labor analytics
  • Economic policy research
  • Workforce analytics platform
  • AI economic measurement

Where Stanford Digital Economy Lab is headquartered

Location

Headquarters

HQ city
Stanford
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Stanford Digital Economy Lab business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Technology or R&D, Operations, Marketing or Sales

Revenue model

  1. Corporate Affiliate Program: Annual membership fee of $50,000 providing industry partners access to Lab research, events, and networking with academics. Members may provide additional funding for specific research projects.
  2. Research Grants and Sponsored Research: Funding from organizations like Schmidt Sciences for specific research initiatives such as the AI at Work program

Pricing tiers

ModelBillingPrice
SubscriptionAnnualCorporate Affiliate Program
FreemiumPay-as-you-goAI Economic Indicators Platform

Go-to-market motion1 record

Distribution channels3 records

Marketing channels7 records

Stanford Digital Economy Lab product offering

Product offering

Core offering

Stanford Digital Economy Lab is an interdisciplinary academic research lab at Stanford University that studies how artificial intelligence and digital technologies transform labor markets, productivity, and economic value creation. Its core deliverables include the AI Economic Indicators platform (with Canaries Dashboard, Takeoff Tracker, and Adoption Monitor), the National Employment Report partnership with ADP, the DELIBERATION.IO open-source deliberation platform, novel metrics such as GDP-B, and frameworks like Centaur Evaluations. The Lab is funded through Stanford University, research grants, and a Corporate Affiliate Program charging $50,000 per year for industry engagement.

Product overview

Stanford Digital Economy Lab is a research organization (not a commercial product company) that develops tools, metrics, and platforms for understanding AI's economic impact. The core offering is the AI Economic Indicators platform, which includes three dashboards: the Canaries Dashboard (tracking employment effects of AI on entry-level workers using ADP payroll data), the Takeoff Tracker (measuring AI-driven economic growth), and the Adoption Monitor (tracking AI adoption patterns). Related offerings include the National Employment Report partnership with ADP, the Centaur Evaluations framework for human-AI collaboration assessment, the Loyal Agents initiative for trustworthy AI agents, and DELIBERATION.IO for democratic engagement. Additional research outputs include GDP-B (well-being metric), the Suitability for Machine Learning Rubric, The Digitalist Papers publication series, and the Machine Learning podcast. The Lab also publishes working papers, journal articles, and books on AI economics, future of work, and digital economy measurement.

Differentiator

Problem solved

Functional benefit

Products and services

  • AI Economic Indicators Platform A publicly accessible platform tracking how artificial intelligence influences labor markets, productivity, technology adoption, and economic value creation, featuring three dashboards and research-based methods for policymakers, researchers, employers, and workers.
  • DELIBERATION.IO Open-source digital platform facilitating structured deliberation and democratic engagement at scale, featuring evidence-based design, full transparency, modular architecture, and AI augmentation of human judgment.
  • National Employment Report (ADP) Collaborative project with ADP providing an independent measure of private-sector employment with monthly and weekly job growth estimates based on anonymized ADP payroll data covering 26+ million private-sector employees.
  • Corporate Affiliate Program Annual membership program at $50,000 per year providing industry partners with event invitations, faculty and student engagement, website recognition, and options to co-fund Lab sponsored research projects.
  • The Digitalist Papers Publication series of essays exploring implications of transformative AI on global economy, work, and institutions, with Volume 2 focused on the Economics of Transformative AI.
  • Machine Learning: How Did We Get Here? Podcast Podcast series hosted by Lab Digital Fellow Tom Mitchell featuring interviews with pioneers of machine learning, telling the history of the field through personal stories of the people who built it.

Quantifiable outcome

  • 3.8% annual decline in employment for workers 22-25 in AI-exposed occupations since ChatGPT
  • +2 more outcomes

Companies that use Stanford Digital Economy Lab

Customer profile

Named customers2 records

Segments4 records

Ideal customer profiles2 records

Stanford Digital Economy Lab technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature5 records

Stanford Digital Economy Lab partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered core.

  • Consumer Reports Innovation LabcoreStrategic or Co-development Partner · 21 November 2025Collaboration on the Loyal Agents initiative to develop trustworthy AI agents that act transparently and in consumers' best interests, addressing risks associated with autonomous AI agents.
  • ADP, Inc.coreStrategic or Co-development PartnerPrimary data partner providing anonymized payroll data covering 26+ million employees. Collaboration includes the ADP National Employment Report and AI Economic Indicators platform with the Canaries Dashboard tracking AI's impact on employment.

Scale indicators6 records

Recent moves6 records

Expansion highlights6 records

Stanford Digital Economy Lab competitors and assessment

Company assessment

Direct peers

  • MIT Initiative on the Digital Economy: MIT's flagship research group studying the digital economy and AI's economic impact. Most directly comparable given Executive Director Christie Ko's prior tenure as Associate Director and overlapping research agendas on AI and labor.
  • Stanford AI Index (HAI): Sister Stanford HAI initiative tracking AI progress and societal impact annually. Comparable as a Stanford-anchored AI measurement/research effort with overlapping AI economic indicators mandate.
  • Brookings Institution - Center for Technology Innovation: Think tank producing policy research on AI, digital economy, and labor markets. Comparable as a non-academic research organization publishing AI economic evidence for policymakers and executives.
  • AI Now Institute: NYU-based research institute examining AI's social and economic implications. Comparable as a small, mission-driven research organization producing AI policy and economic analysis.

Broad incumbents

  • McKinsey Global Institute: Larger commercial research arm publishing AI economic impact studies for enterprise and policy audiences. Comparable in scope of AI-and-labor research but operates as part of a global consultancy.
  • OECD AI Policy Observatory: Multilateral initiative providing data, analysis, and policy guidance on AI's economic and societal effects. Comparable as a producer of authoritative AI economic indicators for policymakers.
  • NBER (National Bureau of Economic Research): Premier economics research network where Brynjolfsson serves as Research Associate. Comparable as the publishing and convening venue for the Lab's working papers and economic research output.

Emerging players

  • Future of Life Institute: Nonprofit focused on steering transformative AI toward beneficial outcomes. Overlaps on AI economic-policy research, particularly with the Digitalist Papers framing of transformative AI.
  • Anthropic Economic Research: Anthropic's team publishing studies on AI's economic and labor effects. Comparable as a newer entrant producing primary AI-economic research with proprietary data advantages.

Regional players

  • ADP Research Institute: ADP's in-house research arm that co-produces the National Employment Report. Most directly comparable as the data-partner organization producing labor-market analytics from the same underlying dataset.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Stanford Digital Economy Lab social profiles

Digital presence

Stanford Digital Economy Lab financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Stanford Digital Economy Lab leadership team

Management profile

Number of profiles

Profiles3 records

Stanford Digital Economy Lab funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Stanford Digital Economy Lab M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Stanford Digital Economy Lab

What does Stanford Digital Economy Lab do?

Stanford Digital Economy Lab is an interdisciplinary academic research lab at Stanford University that studies how artificial intelligence and digital technologies transform labor markets, productivity, and economic value creation. Its core deliverables include the AI Economic Indicators platform (with Canaries Dashboard, Takeoff Tracker, and Adoption Monitor), the National Employment Report partnership with ADP, the DELIBERATION.IO open-source deliberation platform, novel metrics such as GDP-B, and frameworks like Centaur Evaluations. The Lab is funded through Stanford University, research grants, and a Corporate Affiliate Program charging $50,000 per year for industry engagement.

Is Stanford Digital Economy Lab a public or private company?

Stanford Digital Economy Lab is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Stanford Digital Economy Lab founded?

Stanford Digital Economy Lab was founded in 2020. It employs 11 to 50 people.

Where is Stanford Digital Economy Lab based?

Stanford Digital Economy Lab is headquartered in Stanford, United States, in the North America region.

How does Stanford Digital Economy Lab make money?

Two revenue lines are on record. Corporate Affiliate Program is the primary driver. The others are research Grants and Sponsored Research.

Who are Stanford Digital Economy Lab's main competitors?

Direct peers on record are MIT Initiative on the Digital Economy, Stanford AI Index (HAI), Brookings Institution - Center for Technology Innovation and AI Now Institute. Broad incumbents are McKinsey Global Institute, OECD AI Policy Observatory and NBER (National Bureau of Economic Research). Emerging players are Future of Life Institute and Anthropic Economic Research. ADP Research Institute is listed as a regional player.

Does Stanford Digital Economy Lab have an API?

No public API is recorded for Stanford Digital Economy Lab.

What industry is Stanford Digital Economy Lab in?

Stanford Digital Economy Lab's product category is Economic Research. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety). Its NAICS code is 5417 and its SIC code is 7371.

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Live signals
Fast CompanyYoung workers are turning toward AI-proof jobsA Stanford Digital Economy Lab analysis of ADP payroll data finds employment for workers aged 22-25 in AI-exposed professions is 19% lower than in other professions since 2022. The gap widened from 13% to 19%, driven by slower hiring rather than separations. The study found no economy-wide job displacement, but AI is transforming early-career knowledge work.AInvestThe 'Token Tax' Is a Price Tag on the AI Trade's Biggest RiskBill Gates published a roughly 6,000-word essay proposing a "token tax" on AI usage, arguing it would equalize the cost of replacing workers with machines and fund retraining and a safety net. The author cites Stanford's Digital Economy Lab data showing a 19 percent employment gap for 22-to-25-year-olds in AI-exposed jobs. He argues the tax would not close the federal deficit and could push development offshore.NeofeedARTIGO. “Precisamos agir agora”: o alerta urgente dos economistas de Stanford sobre a IAOver 200 economists signed a letter from the Stanford Digital Economy Lab warning that generative AI could cause economic transformation faster than the Industrial Revolution, citing a study showing a 16% drop in employment for young workers in AI-exposed roles. This shift threatens financial stability by disrupting traditional assumptions about predictable career progression and income growth used in credit risk models. Consequently, banks may need to revise their risk assessment algorithms to account for these new labor market dynamics.SlashdotStanford Economist Now Believes an AI Job Apocalypse Is UnlikelyStanford economist Erik Brynjolfsson, with colleagues at the Stanford Digital Economy Lab, updated their report "Canaries in the Coal Mine?" to say there is no sign of economy-wide job destruction from AI, though entry-level jobs face persistent, widening effects. He predicts demand for experienced workers like senior coders will remain high and cites productivity growth over 2 percent.AijournAI Didn’t Shrink Your Engineering Team. It Changed Which Engineers You Need.A 2025 METR study found that AI tools increased software engineering task completion time by 19%, contradicting developer perceptions of productivity gains. Concurrently, Stanford Digital Economy Lab data indicates a 19% drop in entry-level software hiring in the US, as AI substitutes routine tasks while experienced workers remain stable. This shift is compressing engineering teams into flatter, more senior structures, creating a scarcity of talent capable of verifying AI-generated code.Investing.comU.S. private sector adds 9,500 jobs weekly in early August By Investing.comU.S. private employers added an average of 9,500 jobs per week for the four weeks ending August 1, marking a hiring increase after seven consecutive weeks of decline according to ADP Research’s weekly employment update. This data comes from the NER Pulse, which tracks preliminary seasonally adjusted figures in collaboration with the Stanford Digital Economy Lab.Forbes2,000 Signed The AI Warning. Your Dashboard Still Isn’t MovingStanford Digital Economy Lab Director Erik Brynjolfsson warns that organizations are unprepared for the transformative impact of AI, urging a shift from measuring cost reductions to tracking human augmentation and capability creation. He argues that current corporate metrics fail to capture significant consumer surplus and operational improvements, leading to suboptimal investment decisions focused on automation rather than complementing workers.AInvestAI Hasn't Taken Your Job. It Has Already Taken Your Child's First Job—and the 19% Gap Is Getting WorseA Stanford Digital Economy Lab study reveals a 19% employment gap for workers aged 22 to 25 in AI-exposed occupations, indicating that reduced entry-level hiring is displacing young workers rather than causing mass layoffs. The analysis highlights that while AI automates codified tasks and boosts senior worker productivity, it threatens the return on investment for generic college degrees by eliminating traditional training pathways.FortuneStanford and ADP have new payroll data on Gen Z women's job struggles. AI isn't the main culpritStanford Digital Economy Lab and ADP Research released new data from their 'Canaries Dashboard' showing that young women ages 22-25 are experiencing weaker employment growth than young men in entry-level jobs, with the gap driven primarily by occupational segregation rather than AI exposure itself. The researchers found that 43.8% of women work in the most AI-exposed job category versus 32.4% of men, but the gender employment gap persists across all levels of AI exposure, appearing nearly as wide in low-exposure occupations as in high-exposure ones. The findings suggest that women's overrepresentation in AI-exposed roles is a byproduct of pre-existing occupational sorting patterns rather than evidence that AI treats women differently within given occupations.247wallst“We Must Act Now”: 16 Nobel Laureates Issue Stark Warning About AI Job ThreatsOn July 13, the Stanford Digital Economy Lab published an 88-word statement signed by 16 Nobel laureates and over 200 economists, executives, and researchers warning that AI may drive economic disruption larger than the Industrial Revolution on a compressed timeline, carrying risks including large-scale job displacement alongside potential gains in living standards.