Radar Landscapes AI Landscape of the United States
AI industry in the United States — illustrated cover for the AI Landscape of the United States
Radar · Industry landscape · the United States

AI Landscape of the United States

10,808 AI companies in the United States, in one picture: who is hiring, who is raising money, who founded them, where they are based, what the news is about, which skills employers want and where the research is going. Updated August 2026.

10,808companies tracked
$601Bdisclosed funding
883hiring right now
10,155events · 24 months
930,038news articles · 12 months

Who leads AI in the United States

Shows the 10,808 tracked AI firms, highlighting the top hiring firms, best‑funded companies, and the number currently hiring (883) and funded (2,839).

open roles
Hiring now
ranked by live open roles
  1. 01CoreWeave12last posted Jul 2026
  2. 02smartlight analytics12last posted Jul 2026
  3. 03Code Metal11last posted Jul 2026
  4. 04Crusoe11last posted Jun 2026
  5. 05Nuro11last posted Jul 2026
  6. 06Field AI11last posted Jun 2026
  7. 07Enfra11last posted Jun 2026
  8. 08Anthropic11last posted Jun 2026
883 companies hiring · 93 posted in the last 30 days
disclosed funding
Most funded
disclosed totals, all rounds
  1. 01OpenAI$184.2BSeries G · Apr 2026
  2. 02Anthropic$74.8BSeries G · Apr 2026
  3. 03xAI$62.5BSeries E · Jan 2026
  4. 04Waymo$27.1BSeries D · Feb 2026
  5. 05Scale AI$15.9BSeries G · Jun 2025
  6. 06CoreWeave$13.8BPost IPO · Apr 2026
  7. 07Anduril$11.3BSeries H · May 2026
  8. 08Cruise$7.7BSeries E · Feb 2022
2,839 companies with disclosed rounds · $601B total
revenue
Revenue leaders
official filings first, else latest snapshot
  1. 01Neptune$56.3BFY2026 filing
  2. 02Nvidia$26.9BFY2022 filing
  3. 03Richpanel$5.8BFY2024 filing
  4. 04Palantir$4.5Bsnapshot Dec 2025
  5. 05CoreWeave$2.1BFY2026 filing
  6. 06UiPath$1.6BFY2022 filing
  7. 07Gitlab$955.2MFY2024 filing
  8. 08Ambarella$390.7MFY2025 filing
97 companies with a revenue figure
headcount
Largest teams
ranked by tracked headcount
  1. 01Nvidia29,600tracked employees
  2. 02Sama4,013tracked employees
  3. 03CloudFactory3,408tracked employees
  4. 04Incedo3,264tracked employees
  5. 05Securonix2,500tracked employees
  6. 06Waymo2,297tracked employees
  7. 07Anduril2,193tracked employees
  8. 08Cerence1,700tracked employees
815 companies with headcount data
share of events
Share of voice
share of all tracked sector news events, 24 months
  1. 01OpenAI19.6%3,979 tracked events
  2. 02Nvidia14.9%3,020 tracked events
  3. 03Anthropic6.7%1,363 tracked events
  4. 04xAI4.0%802 tracked events
  5. 05CoreWeave3.5%701 tracked events
  6. 06Palantir3.1%623 tracked events
  7. 07UiPath1.1%224 tracked events
  8. 08Perplexity1.0%197 tracked events
20,299 tracked events across 850 companies
articles
In the news
Prism news coverage, last 12 months
  1. 01OpenAI55,945articles in the window
  2. 02Nvidia51,698articles in the window
  3. 03getty images10,904articles in the window
  4. 04Ema10,529articles in the window
  5. 05Palantir7,946articles in the window
  6. 06xAI4,482articles in the window
  7. 07CoreWeave2,819articles in the window
  8. 08ElevenLabs2,568articles in the window
786 of these companies drew sector coverage in the window
Radar

See all 10,808 AI companies in the United States

Filter by funding, headcount, hiring and location, and export the list.

How the AI ecosystem in the United States grew, 2016–2025

Lists the yearly count of AI startups, noting the highest founding year of 1,394 companies in 2023 and 1,125 in 2025.

Companies founded / year
new AI companies in the United States
2016: 4122017: 5632018: 5572019: 6062020: 6452021: 6802022: 8062023: 1,3942024: 1,3272025: 1,125
20162025
peak 1,394 in 2023
Companies raising / year
with a disclosed round that year
20162025
peak 839 in 2025
Disclosed funding / year
sum of disclosed rounds (USD)
2016: 2,237,370,2562017: 3,793,765,4292018: 10,604,731,1252019: 12,409,568,3242020: 15,949,069,2272021: 33,584,912,0252022: 21,039,833,9202023: 31,713,259,6572024: 71,749,172,3342025: 156,848,941,814
20162025
peak $156.8B in 2025

Where AI companies in the United States are based

Ranks U.S. cities by AI company count, with San Francisco leading at 1,899 firms followed by New York City and Palo Alto.

San Francisco skyline — AI hub in the United States
Hub 01
San Francisco
1,899 AI companies
45% of the AI companies across these hubs
1,899companies
$329.4Bdisclosed funding
205hiring now
Photo Wikipedia · San Francisco · CC BY-SA 4.0
New York City skyline — AI hub in the United States
Hub 02
New York City
968 AI companies
23% of the AI companies across these hubs
968companies
$23.9Bdisclosed funding
75hiring now
Photo Wikipedia · New York City · CC BY-SA 4.0
Palo Alto, a AI hub in the United States
Hub 03
Palo Alto
293 AI companies
7% of the AI companies across these hubs
293companies
$77.7Bdisclosed funding
44hiring now
generated artwork
Austin, a AI hub in the United States
Hub 04
Austin
250 AI companies
6% of the AI companies across these hubs
250companies
$4.3Bdisclosed funding
20hiring now
generated artwork
Los Angeles skyline — AI hub in the United States
Hub 05
Los Angeles
243 AI companies
6% of the AI companies across these hubs
243companies
$754Mdisclosed funding
10hiring now
Photo Wikipedia · Los Angeles · CC BY-SA 4.0
Seattle skyline — AI hub in the United States
Hub 06
Seattle
220 AI companies
5% of the AI companies across these hubs
220companies
$2.4Bdisclosed funding
24hiring now
Photo Wikipedia · Seattle · CC BY-SA 4.0
Boston skyline — AI hub in the United States
Hub 07
Boston
206 AI companies
5% of the AI companies across these hubs
206companies
$6.9Bdisclosed funding
28hiring now
Photo Wikipedia · Boston · CC BY-SA 4.0
San Jose, a AI hub in the United States
Hub 08
San Jose
180 AI companies
4% of the AI companies across these hubs
180companies
$12.5Bdisclosed funding
22hiring now
generated artwork

The AI market map of the United States: what these companies actually do

Breaks down AI firms by product sub‑category and revenue model, showing the largest groups and that most earn via subscriptions (9,552 firms).

  • Enterprise Tech7,235 companies · $558.9B raised · 734 hiring
  • Enterprise Software5,494 companies · $481.2B raised · 574 hiring
  • SaaS4,753 companies · $386.3B raised · 435 hiring
  • Deep Tech4,120 companies · $528.4B raised · 440 hiring
  • Consumer Digital1,760 companies · $43.8B raised · 86 hiring
  • Native AI in Software Development875 companies · $59B raised · 127 hiring
  • Native AI in Healthcare708 companies · $20.5B raised · 90 hiring
  • Healthtech696 companies · $20.3B raised · 88 hiring
  • Native AI in Marketing626 companies · $7.5B raised · 45 hiring
  • Fintech569 companies · $12.7B raised · 67 hiring
  • No Code AI Platforms546 companies · $2.3B raised · 20 hiring
  • Native AI in Financial Services522 companies · $12.1B raised · 62 hiring

Monetization

How AI companies make money

How many companies earn revenue each way. Plenty use more than one model, so the counts add up to more than the sector.

Subscription9,552
Fee-For-Service561
Advertising558
E-Commerce - Service448
Commission on Transaction401
E-Commerce - Product236
Physical Commerce124
Licensing87

Funding, M&A and the deals moving AI in the United States

Counts 10,155 corporate events over the past two years, detailing the most common types such as funding rounds and key‑person announcements.

Funding 2,168Leadership 1,339Announcement 1,107Earnings 1,101Contracts 1,007Product 936M&A 752Lawsuit 456Regulatory 365Capital 339
  • M&ARWS, a global AI solutions company, has acquired Obviously Group Limited (“Obviously”), a next generation integrated platform that enables enterprise clients to seamlessly manage, protect and enforce their Intellectual Property (“IP”) and brand integrity.2026-05-05
  • M&Atoday announced the acquisition of Moove Connected Mobility2026-05-05
  • Fundinghis early 2020 investment in Groq, an inference chip startup, paid off handsomely as the company hit a $6.9 billion valuation in 2025.2026-05-04
  • FundingApplied Digital has completed a $300 million senior secured bridge loan, led by Goldman Sachs, to help fund construction of a new AI data center campus.2026-05-04
  • IPONvidia’s rival Cerebras is seeking a valuation of as much as $26.62bn in its US initial public offering, as heavy spending on AI infrastructure lifts demand for advanced chips and fuels investor appetite for the sector. Sunnyvale, California-based Cerebras is aiming to sell 28-million shares in the offering, priced between $115 and $125 apiece, to raise $3.50bn in the company’s second attempt to go public after withdrawing a previous IPO filing last October.2026-05-04
  • IPOthe Sunnyvale, California-based company plans to sell 28 million shares of Class A common stock at an initial price range of $115 to $125 per share on the Nasdaq Global Select Market under the ticker “CBRS.”2026-05-04
  • M&APictet Asset Management Holding SA acquired a new stake in CoreWeave Inc. (NASDAQ:CRWV – Free Report) in the 4th quarter, Holdings Channel reports.2026-05-04
  • IPOAll told, about $1.5 billion is expected to be committed, the people said.2026-05-04
  • FundingNetomi has now raised a total of $217M in total equity funding and is backed by Accenture Ventures, Adobe Ventures, Demis Hassabis, Fin Capital, Gokul Rajaram, Greg Brockman, Henry Kravis, Justin Wexler, Metis Strategy, Mustafa Suleyman, Naver Ventures, Nikesh Arora, Silver Lake Waterman, SLW, and WndrCo.2026-05-04
  • FundingTechcyte has now raised a total of $50.4M in total equity funding and is backed by Mayo Clinic, Van Tuyl Companies, and Zoetis.2026-05-04

Mergers and acquisitions

Deals from the last 24 months where a AI company in the United States was the buyer or the one bought, newest first. “Undisclosed” means the price was never published — not that the deal was worth nothing.

AcquirerTargetDeal valueStatusDate
Pristine CareliberateundisclosedAnnounced2026-06-07
googlevodafone ideaundisclosedAnnounced2026-05-28
netradynemoove connected mobilityundisclosedAnnounced2026-05-05
augmentmerlinundisclosedCompleted2026-05-05
rwsobviouslyundisclosedAnnounced2026-05-05
reliance retailanomalyundisclosedCompleted2026-05-05

Who is listing, hiring leaders, launching and winning work

Details specific event types like IPO filings, leadership changes, product launches, and contract wins for the sector.

IPO pipeline
37 companies listed or filing · last 24 months
Leadership moves
184 tracked people moves · last 12 months
  • OpenAIKevin Weil · Departure — was VP of ScienceMay 2026
  • OpenAIBrad Lightcap · Promotion → special projectsMay 2026
  • OpenAIFidji Simo · Resignation — was Product and Business ChiefMay 2026
  • AudioEyeKelly Georgevich · Appointment → Chief Executive OfficerMay 2026
  • AudioEyeDavid Moradi · Appointment → Executive Chairman of the Board and Chief Product OfficerMay 2026
  • KinoTekDr. Darin Padua · Appointment → Scientific AdvisorMay 2026
  • KinoTekDr. Mark Sakr · Appointment → Scientific AdvisorMay 2026
  • Recursion PharmaceuticalsChris Gibson, Ph.D. · Departure → Strategic AdvisorApr 2026
Product launches
tracked launches · last 12 months
  • AnthropicFinancial Services AI Agents (AI Agents)May 2026
  • OpenAIAI Finance Agents Partnership with PwC (AI Partnership)May 2026
  • AnthropicClaude Integration with Microsoft Office (AI Integration)May 2026
  • FourKitesBooking Connect for Ocean (Ocean freight booking platform)May 2026
  • OpenAIOpenAI Models and Codex on AWS (AI Models)Apr 2026
  • OnemetaIntegration into NVIDIA Holoscan for Media (Integration)Apr 2026
  • Pony.aiFourth-generation L4 autonomous heavy truck (Heavy truck)Apr 2026
  • Pony.aiUnmanned cargo operations in autonomous truck platoons (Cargo operations)Apr 2026
Contract wins
181 customer wins · last 24 months
Workforce actions
26 companies cutting roles · last 24 months
  • Sama~1,108 roles reported · contract terminationMay 2026
  • OpenAI~10 roles reported · business consolidationApr 2026
  • xAI~10 roles reported · reorganizationApr 2026
  • Artisan~46 roles reported · cost reductionMar 2026
  • C3 AI~26% of workforce reported · cost reductionFeb 2026
  • Motional~40% of workforce reported · cost reductionJan 2026
Regulatory & litigation
84 regulatory events · 27 tracked suits · 24 months
  • Pony.aiapproved for by-invite rides in Singapore — Singapore’s Land Transport AuthorityApr 2026
  • Nvidiaapproved to ship only a small number of H200 accelerators to China — US regulatorMar 2026
  • Nvidiaapproved to sell its second most powerful chip in ChinaMar 2026
  • NvidiaInvestigation — U.S. Senators Elizabeth Warren and Richard BlumenthalMar 2026
  • Elon Musk v openai, Sam Altmanmisuse of nonprofit mission · OngoingMay 2026
  • Elon Musk v openaiAlleged deviation from nonprofit mission by OpenAI · OngoingMay 2026
Earnings pulse
companies reporting results · last 24 months
81 companies reporting1,137 company-quarters trackedbeat 413miss 50in line 19

Half of these companies grew revenue faster than +59.9%, half slower.

Who is building AI in the United States

Founders and chief executives12 of 7,497, from the best-funded companies on this page
Sam Mccandlish
Co-Founder
Sam Mccandlish

Ex-OpenAI. Brandeis University BS, MS 2012, Stanford University PhD 2017

Yuhuai Wu
Co-Founder
Yuhuai Wu

Ex-Google. University of New Brunswick Bsc 2015, University of Toronto PhD 2021

Tekedra Mawakana
Co-CEO
Tekedra Mawakana

Boom Supersonic, ex-Lyte, ex-Consumer Technology Association, Columbia Law School

Alexandr Wang
Founder & CEO
Alexandr Wang

Ex-Hudson River Trading, Quora, Addepar. MIT BS

Michael Intrator
Co-Founder & Co-CEO
Michael Intrator

Ex-Hudson Ridge Asset Management, Natsource Asset Managment · Binghamton University MA 1991, Columbia · SIPA MPA 1995

Trae Stephens
Co-Founder
Trae Stephens
repeat founder

Co-Founder Pursuit, Sol, ex-Palantir Technologies. Georgetown University BS 2005

Cully Cavness
Co-Founder, President and COO
Cully Cavness

Ex-Sword & Plough. Middlebury College BA 2010, Said Business School, University of Oxford MBA 2015

Ryan Tseng
Co-Founder & Chief Strategy Officer & President
Ryan Tseng

Shield Ai, ex-Qualcomm, ex-Wipower, Massachusetts Institute of Technology

Michael James
Co-Founder
Michael James

Ex- AMD, SeaMicro, Kno, Sophisticated Design, MultiLing Corporation, F5 Networks, ReachLocal. University of California, Berkeley BA 2003

Michael Truell
Co-Founder & CEO
Michael Truell

Massachusetts Institute of Technology BSc 2021

Ilya Sutskever
Co-Founder & CEO
Ilya Sutskever

Ex-Co-Founder OpenAI, Google. University of Toronto BS 2005, PhD 2012

Joe Lonsdale
Founder
Joe Lonsdale

8vc, ex-Strive For College, ex-Formation 8, Stanford University, 2003

Where the founders studied
alma mater on record for 2,400 of 7,497 founders
Stanford University402
Massachusetts Institute of Technology228
University of California (Berkeley)211
Harvard University191
Carnegie Mellon University131
Cornell University108
University of Pennsylvania87
Columbia University78
Where they worked before
a previous employer on record for 883 of 7,497 founders
Google284
Microsoft192
Amazon101
Facebook99
McKinsey51
Apple49
Uber38
Intel38
Founders flagged as repeat founders
of 6,621 founders with a profile on this page
99
carry a repeat-founder flag
  • flagged as repeat founders99
  • no repeat-founder flag6,522
Women and men among the founders
first names matched for 6,497 of 7,497 founders
10%
of matched founders are women
  • women672
  • men5,825
Inferred from first names, using 119 million people who state their own gender: a first name counts only where at least 20 of them share it and at least 90% of those share the same gender. The other 1,000 founders go in neither column.
Radar

Look up the people behind AI companies in the United States

Search founders, executives and operators by company, role and location.

Who funds AI in the United States

Summarizes 7,045 funding rounds since 2016 from 7,423 investors, with a typical round size of $6.3 million.

Investor · most active investors since 2016RoundsLedLatest
Y Combinator638187May 2026
Andreessen Horowitz204101May 2026
Sequoia Capital14152May 2026
Accel12662May 2026
Lightspeed Venture Partners12463May 2026
General Catalyst12049May 2026
Google Ventures10736May 2026
Techstars10455May 2026
New Enterprise Associates9848Apr 2026
Khosla Ventures8942Apr 2026
Stage mix · rounds since 2016
Seed & Angel3,060
Series A–B2,531
Series C+ / PE803
Grants, debt & other651

The typical round is $6.3M — half were bigger, half smaller.

The biggest AI funding rounds in the United States

Highlights the biggest disclosed round—OpenAI’s $122 billion Series G—and lists ten other large recent rounds.

CompanyRoundSizeWhenBackers
OpenAISeries Gmega-round$122BFeb 2026Amazon, SoftBank Group, Nvidia
OpenAISeries Fmega-round$40BMar 2025SoftBank Group, Microsoft, Coatue +13 more
AnthropicSeries Gmega-round$30BFeb 2026GIC, Coatue, The D. E. Shaw Group +8 more
xAISeries Emega-round$20BJan 2026Valor Equity Partners, StepStone Group, Fidelity Investments +7 more
WaymoSeries Dmega-round$16BFeb 2026Dragoneer Investment Group, DST Global, Sequoia Capital +13 more
Scale AISeries Gmega-round$14.3BJun 2025Meta
AnthropicSeries Fmega-round$13BSep 2025Iconiq Capital, Fidelity Investments, Lightspeed Venture Partners +18 more
OpenAISeries Emega-round$10BJan 2023Microsoft
AnthropicSeries Fmega-round$10BJan 2026GIC, Coatue, Sequoia Capital
xAISeries Cmega-round$7.5BOct 2025Nvidia
Venture round sizes · 2023–2025
<$1M443
$1–10M859
$10–50M675
$50–250M259
>$250M91

2,327 venture rounds with a disclosed amount in the window.

Fresh cheques · last 6 months

What the news says about AI in the United States

Counts 930,038 news articles in the last year, indicating the most covered topics such as product launches and strategic partnerships.

News volume
AI coverage across United States · articles per quarter
2021Q2: 111,1472021Q3: 115,8852021Q4: 107,2472022Q1: 123,6572022Q2: 114,0952022Q3: 110,0962022Q4: 118,9112023Q1: 137,8462023Q2: 168,2222023Q3: 156,5392023Q4: 157,3932024Q1: 182,8182024Q2: 180,6102024Q3: 193,2952024Q4: 205,4032025Q1: 324,3112025Q2: 208,3582025Q3: 242,6592025Q4: 204,8012026Q1: 257,914
2021Q22026Q1
peak 324,311 in 2025Q1 · 930,038 articles in the last 12 tracked months
Tone of coverage
share of articles by dominant sentiment (positive / neutral / negative)
202120232025
Positive-tone share moved 69% → 71%, negative 29% → 28% across 2021–2025.

What the coverage is about

The subjects that dominate AI news in United States. The arrow shows whether each one is being written about more or less than a year ago.

  • Cryptocurrency impact on forex markets54,305▲+87%
  • New product launches and innovations45,975▲+33%
  • Technology adoption and digital transformation41,410▲+28%
  • Strategic partnerships and collaborations37,461▲+45%
  • College athletics news33,026▼-59%
  • Artificial intelligence advancements32,181▲+40%
  • Executive leadership changes and appointments27,800▲+36%
  • Sports history and legacy stories24,526▲+1065%
  • International political relations22,380▲+53%
  • Security and defense policies21,442▲+44%
Most-covered companies · last 12 months

786 AI companies here were named in the news over this period.

Prism

Watch AI coverage in United States as it happens

Prism follows these subjects story by story — which companies are named, what is said about them and how the tone moves.

Momentum

The words getting louder — and quieter

Which terms are showing up in more stories than a year ago, and which are fading. The percentage is the change in how many articles mention them.

responsible ai+55%ai regulation compliance+52%stablecoin fx impact+248%artemis program+1104%startup news+279%quarterly results+53%quarterly financials+53%decentralized forex+191%ceo change+71%financial report+48%
college playoffs-84%college football finals-81%ncaa championship game-84%national championship game-81%mlb team standings-69%

The pressures the press keeps returning to

Three recurring angles in United States AI coverage, and whether each is getting more attention year on year (through 2025).

Regulatory Risk ▲ rising
748,659 articles touch this dimension · 52.5% critical tone
20212025
signals: ai regulation compliance, responsible ai, stock performance
Funding Momentum ▲ rising
212,572 articles touch this dimension · 45.0% critical tone
20212025
signals: neural network ventures, ai infrastructure financing, ai chip investments
Growth ▲ rising
305,305 articles touch this dimension · 43.6% critical tone
20212025
signals: earnings report, quarterly results, quarterly financials

AI jobs in the United States: who is hiring and what they ask for

Reports 140,941 job postings from 1,419 AI employers in 12 months, noting top skills and a median advertised salary of $125 k.

140,941postings · last 12 months
160,117postings tracked overall
1,419employers advertising
$125kmedian advertised salary/yr (n=66703)

Demand

The Skills Employers Ask For

What AI employers in the United States put in their job ads. The bar is how many postings ask for it; the arrow shows whether demand grew or shrank against the year before.

  • python5,840
  • data analysis3,506
  • ai3,133
  • sql2,949
  • kubernetes2,543
  • analytics2,422
  • mechanical engineering2,189
  • excel2,105
  • question creation1,905
  • data annotation1,799
What level are these roles?
Entry867
Intern605
Senior9,094
Lead3,626
Manager11,211
What they pay, by level
  • Manager$166k/yr (n=2710)
  • Senior$166k/yr (n=1092)
  • Lead$83k/yr (n=1583)
  • Intern$166k/yr (n=123)
Most advertised titles
  • Remote Data Scientist1,541
  • Remote Mechanical Engineer1,518
  • Remote Management Consultant1,478
  • Remote Building Code Compliance Expert1,225
  • Remote Financial Analyst1,198
  • Remote Phd Engineer (Electrical, Mechanical, Chemical)1,062

11 internships were advertised in the last 12 months, across 7 of these companies.

What AI research in the United States is working on

Shows 5,214 papers from India‑affiliated institutions, with most focusing on opportunities and few covering safety, bias, or environmental impacts.

How this field talks about itself
United States-affiliated AI papers (gold) against all published research (grey)
Breakthrough48.1% · 26.3%1.8×
Descriptive18.1% · 17.6%≈ par
Promising16.2% · 37.4%0.4×
Problem-identifying8.1% · 9.6%0.8×
Cautionary3.5% · 4.2%0.8×
Comparative3.2% · 4.0%0.8×

United States-affiliated AI literature runs 1.8× more “breakthrough” than science at large (48.1% vs 26.3% baseline).

How the work is done
Methods-led55.1%
Empirical24.0%
Reviews10.7%
Theoretical6.3%
Position pieces4.0%
How the research reads

89% positive · 8% neutral · 3% negative, across 5,214 papers.

The institutions doing the work · United States
  • Google825k
  • University of California, Berkeley417k
  • Stanford University333k
  • Microsoft266k
  • University of Washington189k
  • Massachusetts Institute of Technology184k

ranked by how often their work is cited

Leading researchers · United States-affiliated work

Ross Girshick · Kaiming He · Christian Szegedy · Ilya Sutskever · Koichiro Tamura · Glen Stecher · Richard Socher · Jian Sun

The most-cited breakthroughs
  • ImageNet classification with deep convolutional neural networks · 76k cites
  • Scikit-learn: Machine Learning in Python · 63k cites
  • ImageNet: A large-scale hierarchical image database · 61k cites
  • Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks · 53k cites
  • MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0 · 48k cites
Common problems researchers identify1,460 papers · 7 recurring themes
Fundamental AI Theory Gaps — Common problems researchers identify
Problems · theme 01
Fundamental AI Theory Gaps
405 papers · 27.7% of this block
2022: 124 of every 10,000 papers on this subject2023: 136 of every 10,000 papers on this subject2024: 150 of every 10,000 papers on this subject2025: 217 of every 10,000 papers on this subject2022: 124 of every 10,000 papers on this subject2023: 136 of every 10,000 papers on this subject2024: 150 of every 10,000 papers on this subject2025: 217 of every 10,000 papers on this subject▲ +76% share2022→2025 share of research on this subject
Researchers highlight unresolved issues in cognition, grammar, pattern recognition, and deep neural network foundations.
Cognition · Generative grammar · Pattern recognition · Deep neural networks
“Matching Methods for Causal Inference: A Review and a Look Forward”
405 of these papers raise it as a problem
Cloud Scalability Challenges — Common problems researchers identify
Problems · theme 02
Cloud Scalability Challenges
311 papers · 21.3% of this block
2022: 380 of every 10,000 papers on this subject2023: 361 of every 10,000 papers on this subject2024: 362 of every 10,000 papers on this subject2025: 368 of every 10,000 papers on this subject2022: 380 of every 10,000 papers on this subject2023: 361 of every 10,000 papers on this subject2024: 362 of every 10,000 papers on this subject2025: 368 of every 10,000 papers on this subject▼ -3% share2022→2025 share of research on this subject
Papers point to difficulties in scaling cloud infrastructures and managing operating‑system provisioning.
Cloud computing · Scalability · Operating system · Provisioning
“Cloud Computing: Distributed Internet Computing for IT and Scientific Research”
311 of these papers raise it as a problem
AI Integration with Big Data — Common problems researchers identify
Problems · theme 03
AI Integration with Big Data
212 papers · 14.5% of this block
2022: 161 of every 10,000 papers on this subject2023: 164 of every 10,000 papers on this subject2024: 179 of every 10,000 papers on this subject2025: 336 of every 10,000 papers on this subject2022: 161 of every 10,000 papers on this subject2023: 164 of every 10,000 papers on this subject2024: 179 of every 10,000 papers on this subject2025: 336 of every 10,000 papers on this subject▲ +109% share2022→2025 share of research on this subject
Works discuss obstacles when embedding AI into large‑scale data pipelines and automated software deployment.
Applications of artificial intelligence · Big data · Automation · Software deployment
“Real-Time AI-Powered Predictive Analytics in Cloud-Based Healthcare Platforms: From Concept to Implementation”
212 of these papers raise it as a problem
Integrated Circuit Reliability — Common problems researchers identify
Problems · theme 04
Integrated Circuit Reliability
196 papers · 13.4% of this block
2022: 47 of every 10,000 papers on this subject2023: 46 of every 10,000 papers on this subject2024: 36 of every 10,000 papers on this subject2025: 37 of every 10,000 papers on this subject2022: 47 of every 10,000 papers on this subject2023: 46 of every 10,000 papers on this subject2024: 36 of every 10,000 papers on this subject2025: 37 of every 10,000 papers on this subject▼ -20% share2022→2025 share of research on this subject
Studies expose reliability and process‑variation problems across mixed‑signal and transistor‑level designs.
Integrated circuit · Transistor · Electronic circuit · Mixed-signal integrated circuit
“Reliability- and Process-variation aware design of integrated circuits &amp;#x2014; A broader perspective”
196 of these papers raise it as a problem
Cloud Security and Privacy — Common problems researchers identify
Problems · theme 05
Cloud Security and Privacy
188 papers · 12.9% of this block
2022: 579 of every 10,000 papers on this subject2023: 573 of every 10,000 papers on this subject2024: 604 of every 10,000 papers on this subject2025: 446 of every 10,000 papers on this subject2022: 579 of every 10,000 papers on this subject2023: 573 of every 10,000 papers on this subject2024: 604 of every 10,000 papers on this subject2025: 446 of every 10,000 papers on this subject▼ -23% share2022→2025 share of research on this subject
Authors flag security vulnerabilities and privacy concerns inherent to cloud computing environments.
Computer security · Cloud computing security · Cloud computing · Internet privacy
“Security and Privacy Challenges in Cloud Computing Environments”
188 of these papers raise it as a problem
Aerosol‑Cloud Interaction Uncertainty — Common problems researchers identify
Problems · theme 06
Aerosol‑Cloud Interaction Uncertainty
90 papers · 6.2% of this block
2022: 39 of every 10,000 papers on this subject2023: 40 of every 10,000 papers on this subject2024: 38 of every 10,000 papers on this subject2025: 37 of every 10,000 papers on this subject2022: 39 of every 10,000 papers on this subject2023: 40 of every 10,000 papers on this subject2024: 38 of every 10,000 papers on this subject2025: 37 of every 10,000 papers on this subject▼ -6% share2022→2025 share of research on this subject
Research identifies gaps in understanding aerosol effects on cloud formation and climate modeling.
Aerosol · Atmospheric sciences · Climatology · Cloud computing
“Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system”
90 of these papers raise it as a problem
Edge‑Centric Computing Limits — Common problems researchers identify
Problems · theme 07
Edge‑Centric Computing Limits
58 papers · 4.0% of this block
2022: 63 of every 10,000 papers on this subject2023: 62 of every 10,000 papers on this subject2024: 64 of every 10,000 papers on this subject2025: 86 of every 10,000 papers on this subject2022: 63 of every 10,000 papers on this subject2023: 62 of every 10,000 papers on this subject2024: 64 of every 10,000 papers on this subject2025: 86 of every 10,000 papers on this subject▲ +37% share2022→2025 share of research on this subject
Papers note constraints in data rates, device capabilities, and integration with cloud services at the edge.
Enhanced Data Rates for GSM Evolution · Edge computing · Edge device · Cloud computing
“Edge Computing: Vision and Challenges”
58 of these papers raise it as a problem
Cautions509 papers · 7 recurring themes
Evaluation and Overfitting Risks — Cautions
Cautions · theme 01
Evaluation and Overfitting Risks
119 papers · 23.4% of this block
2022: 61 of every 10,000 papers on this subject2023: 66 of every 10,000 papers on this subject2024: 51 of every 10,000 papers on this subject2025: 94 of every 10,000 papers on this subject2022: 61 of every 10,000 papers on this subject2023: 66 of every 10,000 papers on this subject2024: 51 of every 10,000 papers on this subject2025: 94 of every 10,000 papers on this subject▲ +54% share2022→2025 share of research on this subject
Works caution against benchmark misuse, overfitting, and statistical pitfalls in pattern‑recognition models.
Pattern recognition · Benchmark · Random forest · Statistical analysis
“Double/debiased machine learning for treatment and structural parameters”
119 of these papers raise it as a problem
Cloud Deployment Threats — Cautions
Cautions · theme 02
Cloud Deployment Threats
107 papers · 21.0% of this block
2022: 380 of every 10,000 papers on this subject2023: 360 of every 10,000 papers on this subject2024: 362 of every 10,000 papers on this subject2025: 368 of every 10,000 papers on this subject2022: 380 of every 10,000 papers on this subject2023: 360 of every 10,000 papers on this subject2024: 362 of every 10,000 papers on this subject2025: 368 of every 10,000 papers on this subject▼ -3% share2022→2025 share of research on this subject
Authors warn of security, virtualization, and scalability threats when adopting cloud platforms for scientific workflows.
Cloud computing · Operating system · Virtualization · Scalability
“On the Use of Cloud Computing for Scientific Workflows”
107 of these papers raise it as a problem
Atmospheric Modeling Biases — Cautions
Cautions · theme 03
Atmospheric Modeling Biases
83 papers · 16.3% of this block
2022: 135 of every 10,000 papers on this subject2023: 132 of every 10,000 papers on this subject2024: 123 of every 10,000 papers on this subject2025: 96 of every 10,000 papers on this subject2022: 135 of every 10,000 papers on this subject2023: 132 of every 10,000 papers on this subject2024: 123 of every 10,000 papers on this subject2025: 96 of every 10,000 papers on this subject▼ -29% share2022→2025 share of research on this subject
Studies caution about model biases and observational uncertainties in aerosol and cloud simulations.
Atmospheric sciences · Aerosol · Meteorology · Climatology
“Intercomparison of model simulations of mixed‐phase clouds observed during the ARM Mixed‐Phase Arctic Cloud Experiment. I: single‐layer clou”
83 of these papers raise it as a problem
3D IC Design Complexity — Cautions
Cautions · theme 04
3D IC Design Complexity
59 papers · 11.6% of this block
2022: 15 of every 10,000 papers on this subject2023: 14 of every 10,000 papers on this subject2024: 11 of every 10,000 papers on this subject2025: 16 of every 10,000 papers on this subject2022: 15 of every 10,000 papers on this subject2023: 14 of every 10,000 papers on this subject2024: 11 of every 10,000 papers on this subject2025: 16 of every 10,000 papers on this subject▲ +10% share2022→2025 share of research on this subject
Papers highlight manufacturing, testing, and interconnection challenges in three‑dimensional integrated circuits.
Three-dimensional integrated circuit · Integrated circuit · Interconnection · Electronic circuit
“Design automation and testing of monolithic 3D ICs: Opportunities, challenges, and solutions: (Invited paper)”
59 of these papers raise it as a problem
Generative AI Transparency — Cautions
Cautions · theme 05
Generative AI Transparency
58 papers · 11.4% of this block
2022: 70 of every 10,000 papers on this subject2023: 87 of every 10,000 papers on this subject2024: 109 of every 10,000 papers on this subject2025: 168 of every 10,000 papers on this subject2022: 70 of every 10,000 papers on this subject2023: 87 of every 10,000 papers on this subject2024: 109 of every 10,000 papers on this subject2025: 168 of every 10,000 papers on this subject▲ +142% share2022→2025 share of research on this subject
Works raise ethical and transparency concerns surrounding generative grammar models and AI applications in education.
MEDLINE · Generative grammar · Transparency · Applications of artificial intelligence
“Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative con”
58 of these papers raise it as a problem
Radiative Transfer Modeling Limits — Cautions
Cautions · theme 06
Radiative Transfer Modeling Limits
53 papers · 10.4% of this block
2022: 49 of every 10,000 papers on this subject2023: 50 of every 10,000 papers on this subject2024: 46 of every 10,000 papers on this subject2025: 45 of every 10,000 papers on this subject2022: 49 of every 10,000 papers on this subject2023: 50 of every 10,000 papers on this subject2024: 46 of every 10,000 papers on this subject2025: 45 of every 10,000 papers on this subject▼ -8% share2022→2025 share of research on this subject
Research points to difficulties in accurately modeling cloud radiative effects and satellite‑based measurements.
Radiative transfer · Cloud computing · Satellite · Radiative forcing
“Effects of cloud horizontal inhomogeneity and drizzle on remote sensing of cloud droplet effective radius: Case studies based on large‐eddy ”
53 of these papers raise it as a problem
Adversarial Exploits in AI Systems — Cautions
Cautions · theme 07
Adversarial Exploits in AI Systems
30 papers · 5.9% of this block
2022: 88 of every 10,000 papers on this subject2023: 83 of every 10,000 papers on this subject2024: 60 of every 10,000 papers on this subject2025: 99 of every 10,000 papers on this subject2022: 88 of every 10,000 papers on this subject2023: 83 of every 10,000 papers on this subject2024: 60 of every 10,000 papers on this subject2025: 99 of every 10,000 papers on this subject▲ +13% share2022→2025 share of research on this subject
Authors discuss covert channels, training‑set attacks, and defenses against adversarial manipulation.
Adversarial system · Exploit · Training set · Covert
“Ensemble Adversarial Training: Attacks and Defenses”
30 of these papers raise it as a problem
Opportunities9,438 papers · 7 recurring themes
Scalable Edge‑Cloud AI Platforms — Opportunities
Opportunities · theme 01
Scalable Edge‑Cloud AI Platforms
1,434 papers · 23.9% of this block
2022: 227 of every 10,000 papers on this subject2023: 226 of every 10,000 papers on this subject2024: 186 of every 10,000 papers on this subject2025: 261 of every 10,000 papers on this subject2022: 227 of every 10,000 papers on this subject2023: 226 of every 10,000 papers on this subject2024: 186 of every 10,000 papers on this subject2025: 261 of every 10,000 papers on this subject▲ +15% share2022→2025 share of research on this subject
Opportunities focus on distributed, scalable architectures that blend edge computing with cloud resources for AI workloads.
Cloud computing · Scalability · Distributed computing · Edge computing
“AI-Driven Automation and Reliability Engineering: Optimizing Cloud Infrastructure for Zero Downtime and Scalable Performance”
Advanced Language Understanding — Opportunities
Opportunities · theme 02
Advanced Language Understanding
1,184 papers · 19.7% of this block
2022: 142 of every 10,000 papers on this subject2023: 161 of every 10,000 papers on this subject2024: 167 of every 10,000 papers on this subject2025: 241 of every 10,000 papers on this subject2022: 142 of every 10,000 papers on this subject2023: 161 of every 10,000 papers on this subject2024: 167 of every 10,000 papers on this subject2025: 241 of every 10,000 papers on this subject▲ +70% share2022→2025 share of research on this subject
Papers explore breakthroughs in cognition, generative grammar, and large‑scale language models for natural language processing.
Cognition · Generative grammar · Language model · Natural language processing
“A unified architecture for natural language processing”
Next‑Generation 3D Chip Design — Opportunities
Opportunities · theme 03
Next‑Generation 3D Chip Design
981 papers · 16.4% of this block
2022: 44 of every 10,000 papers on this subject2023: 42 of every 10,000 papers on this subject2024: 35 of every 10,000 papers on this subject2025: 34 of every 10,000 papers on this subject2022: 44 of every 10,000 papers on this subject2023: 42 of every 10,000 papers on this subject2024: 35 of every 10,000 papers on this subject2025: 34 of every 10,000 papers on this subject▼ -23% share2022→2025 share of research on this subject
Research highlights innovative methods for testing, optimizing, and fabricating three‑dimensional integrated circuits.
Integrated circuit · Electronic circuit · Chip · Three-dimensional integrated circuit
“A Test Integration Methodology for 3D Integrated Circuits”
Deep Vision and Segmentation — Opportunities
Opportunities · theme 04
Deep Vision and Segmentation
829 papers · 13.8% of this block
2022: 248 of every 10,000 papers on this subject2023: 247 of every 10,000 papers on this subject2024: 194 of every 10,000 papers on this subject2025: 273 of every 10,000 papers on this subject2022: 248 of every 10,000 papers on this subject2023: 247 of every 10,000 papers on this subject2024: 194 of every 10,000 papers on this subject2025: 273 of every 10,000 papers on this subject▲ +10% share2022→2025 share of research on this subject
Works present cutting‑edge convolutional networks for object detection, image segmentation, and visual pattern recognition.
Convolutional neural network · Pattern recognition · Segmentation · Image
“Faster R-CNN: Towards Real-Time Object Detection with Region Proposal\n Networks”
Secure Cloud Computing Solutions — Opportunities
Opportunities · theme 05
Secure Cloud Computing Solutions
760 papers · 12.7% of this block
2022: 506 of every 10,000 papers on this subject2023: 509 of every 10,000 papers on this subject2024: 542 of every 10,000 papers on this subject2025: 414 of every 10,000 papers on this subject2022: 506 of every 10,000 papers on this subject2023: 509 of every 10,000 papers on this subject2024: 542 of every 10,000 papers on this subject2025: 414 of every 10,000 papers on this subject▼ -18% share2022→2025 share of research on this subject
Studies propose encryption, access control, and privacy‑preserving AI techniques to strengthen cloud security.
Cloud computing · Encryption · Computer security · Access control
“Optimizing Cloud Security with Machine Learning: Predicting and Preventing Vulnerabilities in Distributed Systems”
Real‑Time Cloud Observation — Opportunities
Opportunities · theme 06
Real‑Time Cloud Observation
481 papers · 8.0% of this block
2022: 159 of every 10,000 papers on this subject2023: 158 of every 10,000 papers on this subject2024: 142 of every 10,000 papers on this subject2025: 114 of every 10,000 papers on this subject2022: 159 of every 10,000 papers on this subject2023: 158 of every 10,000 papers on this subject2024: 142 of every 10,000 papers on this subject2025: 114 of every 10,000 papers on this subject▼ -28% share2022→2025 share of research on this subject
Papers demonstrate rapid cloud and aerosol retrievals from satellite data, enabling near‑real‑time atmospheric monitoring.
Point cloud · Cloud computing · Meteorology · Aerosol
“Near-real time cloud retrievals from operational and research meteorological satellites”
Smart Energy Grid Management — Opportunities
Opportunities · theme 07
Smart Energy Grid Management
331 papers · 5.5% of this block
2022: 30 of every 10,000 papers on this subject2023: 31 of every 10,000 papers on this subject2024: 30 of every 10,000 papers on this subject2025: 29 of every 10,000 papers on this subject2022: 30 of every 10,000 papers on this subject2023: 31 of every 10,000 papers on this subject2024: 30 of every 10,000 papers on this subject2025: 29 of every 10,000 papers on this subject▼ -4% share2022→2025 share of research on this subject
Research offers AI‑driven strategies for microgrid coordination, energy optimization, and resilient smart‑grid operation.
Energy management · Energy management system · Microgrid · Smart grid
“Energy Management of Multiple Microgrids Based on a System of Systems Architecture”

Which of these themes are growing fastest

Tracks how the share of different research themes has changed worldwide between 2022 and 2025.

Problems
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
AI Integration with Big Data▲+109%
Fundamental AI Theory Gaps▲+76%
Edge‑Centric Computing Limits▲+37%
Cloud Scalability Challenges▼-3%
Aerosol‑Cloud Interaction Uncertainty▼-6%
Integrated Circuit Reliability▼-20%
Cloud Security and Privacy▼-23%
Cautions
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
Generative AI Transparency▲+142%
Evaluation and Overfitting Risks▲+54%
Adversarial Exploits in AI Systems▲+13%
3D IC Design Complexity▲+10%
Cloud Deployment Threats▼-3%
Radiative Transfer Modeling Limits▼-8%
Atmospheric Modeling Biases▼-29%
Opportunities
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
Advanced Language Understanding▲+70%
Scalable Edge‑Cloud AI Platforms▲+15%
Deep Vision and Segmentation▲+10%
Smart Energy Grid Management▼-4%
Secure Cloud Computing Solutions▼-18%
Next‑Generation 3D Chip Design▼-23%
Real‑Time Cloud Observation▼-28%

Blind spots

What AI research barely talks about

This field writes about itself optimistically: 70.5% of United States-affiliated research here reads as a breakthrough or a promise, against 14.7% that raises a problem or a warning — 4.8 optimistic papers for every critical one. So the concerns below have to be counted directly — reading the most common topics would bury them.

concernpapers · United Statesshareraised as a problemworldwide
Privacy & surveillancee.g. “Fake News Detection on Social Media”4012.99%87 (21.7%)1,931 · 2.59%
Energy & datacenter footprinte.g. “Energy aware consolidation for cloud computing”1431.07%19 (13.3%)809 · 1.09%
Safety & misusee.g. “Why do humans reason? Arguments for an argumentative theory”390.29%13 (33.3%)218 · 0.29%
Water usee.g. “AI-Optimized Cooling in Cloud Data Centers: A Feasibility Analysis; Environmental Strategies of the Cloud Computing Indu”340.25%4 (11.8%)122 · 0.16%
Carbon & emissions of computee.g. “Measuring the Carbon Intensity of AI in Cloud Instances”130.1%2 (15.4%)59 · 0.08%
Bias & fairnesse.g. “Double/debiased machine learning for treatment and structural parameters”120.09%5 (41.7%)69 · 0.09%
Concentration of compute powere.g. “Geopolitical ecologies of cloud capitalism: Territorial restructuring and the making of national computing power in the ”90.07%4 (44.4%)27 · 0.04%
Hardware, e-waste & supply chaine.g. “Too many bits: tackling the waste epidemic in digital medicine”80.06%2 (25.0%)23 · 0.03%
Labour & data worke.g. “Robots and Jobs: Evidence from US Labor Markets”40.03%1 (25.0%)22 · 0.03%

Who files AI patents in the United States

Records 228,639 patent filings from 2016‑2025 by about 8,000 organisations, with IBM, Google and Microsoft as the top filers.

228,639 filings 2016–20258,000 assigneespeak 35,558 in 2023
Filing momentum
patents published / year
2016: 5,2242017: 7,0912018: 10,0422019: 16,8002020: 24,6272021: 30,6922022: 34,7602023: 35,5582024: 32,8852025: 30,960
20162025
Who files the most
  • IBM23,444
  • Google13,807
  • Microsoft13,068
  • Intel6,213
  • Qualcomm5,449
  • Capital ONE Services3,809
  • Nvidia3,261
  • Adobe2,835
Prism

Go deeper on AI research and innovation

Research themes, patent activity and the companies commercialising them, in one place.

Keep going

Track AI in the United States beyond this page

Radar finds and filters the companies. Prism watches what is being said about them.

About this data: built from Fliar's company, founder, funding, hiring, jobs, news, research and patent trackers, covering the United States. Counts are of companies we track, not of every company that exists. Updated August 2026.
Coming soon