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Boston AI Startup Lazarus Raises $43 Million for On-Prem Enterprise AI
Boston's Lazarus AI raised $43 million to expand enterprise AI that runs on customer hardware without per-token charges, backed by QBE, State Farm Ventures and others.
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The AI race in numbers
A plain-English scoreboard of the artificial intelligence race: money raised, revenue, chips, data-center spending, power demand and model rankings. Every figure links to its source and carries an as-of date. Figures marked “reported” come from people familiar with private talks and have not been disclosed by the companies.
1. Frontier labs compared: funding, valuation, revenue
The “frontier labs” are the handful of companies building the most capable general-purpose AI models. Private labs raise money from investors and report revenue selectively, so the table separates company disclosures from figures reported by news organizations citing unnamed sources.
| Lab | Latest funding | Valuation | Revenue signal |
|---|---|---|---|
| OpenAI | $122B round, March 2026; seeking ~$30B more (reported) Bloomberg via Yahoo Finance, Oct. 8, 2026 | $852B post-money (March); talks at $1.25T pre-money TechCrunch, Oct. 22, 2026 | About $50B annualized at end of September; expects $70B+ by year-end (reported) Bloomberg via Yahoo Finance, Oct. 8, 2026 |
| Anthropic | $65B Series H, May 2026 Anthropic, May 28, 2026 | $965B post-money; IPO investors reportedly discussing ~$1.5T Reuters, Oct. 15, 2026 | Run rate topped $65B by end of July (reported) Reuters, Aug. 17, 2026; Q3 revenue $16.8B, told investors it was adjusted-profitable (reported) Reuters, Oct. 14, 2026 |
| xAI (SpaceX) | $20B Series E, Jan. 2026 xAI, Jan. 6, 2026 | $250B in SpaceX all-stock deal, Feb. 2026 Reuters, Feb. 2, 2026 | Not credibly reported; omitted |
| Google DeepMind | Funded by Alphabet (see capex) | Part of Alphabet; no separate value | Not broken out |
| Meta (Muse models) | Funded by Meta (see capex) | Part of Meta; no separate value | Meta sells no cloud capacity |
| Mistral AI | €3B Series D led by Samsung, Sept. 2026 CNBC, Sept. 8, 2026 | ~$24B (€21B+) post-money | Not credibly reported; omitted |
| DeepSeek | First outside round, ~$7B, Tencent and CATL among backers (reported) Reuters, June 3, 2026 | Reported ~$52–59B | Not credibly reported; omitted |
2. Compute and chips: who sells the picks and shovels
Training and running AI models takes enormous numbers of specialized chips, mostly Nvidia graphics processing units (GPUs). Nvidia’s data center sales are the clearest public measure of how fast the industry is buying compute.
- Share of sales: Data center was $89.0B of Nvidia’s $96.2B total revenue in the quarter ended July 26, 2026. Nvidia, Aug. 26, 2026
- Market value: Nvidia’s market capitalization was about $5.08 trillion at the Oct. 23, 2026 close. Stock values change daily. CompaniesMarketCap, close Oct. 23, 2026
- Biggest reported cluster: xAI’s Colossus 2 near Memphis had 110,000 Nvidia GB200 and 440,000 GB300 chips, Elon Musk said, with more batches planned through December. Bloomberg via Yahoo Finance, Sept. 24, 2026
- China sales: Shipments of Hopper data center chips to China were under 1% of Nvidia’s data center revenue in the July quarter. Nvidia CFO commentary (SEC), Aug. 26, 2026
3. Big Tech capex: the $700 billion build-out
Capital expenditure, or capex, is money spent on long-lived assets such as servers, data centers and networking. The four largest U.S. cloud and platform companies gave these calendar-2026 forecasts on their July 2026 earnings calls.
The four spent almost $172 billion combined in the second quarter of 2026 alone, up 77% from a year earlier, according to a tally of company filings by Platformonomics, July 2026. Alphabet said it expects capex to increase significantly again in 2027. DataCentres.com summary of July 2026 earnings calls
4. Data centers and power demand
AI chips draw large amounts of electricity, and power supply has become one of the main limits on how fast data centers can be built.
- Where the data centers are: The U.S. hosts 5,427 data centers, more than 10 times any other country, per Stanford’s 2026 AI Index. Stanford HAI, 2026 AI Index
- Jobs in the plumbing: U.S. employment in computing infrastructure, data processing and web hosting was 453,800 in September 2026, down from 465,700 in May, seasonally adjusted. BLS via FRED (CES5051800001), Sept. 2026, updated Oct. 2, 2026
5. Model performance: who is on top
LMArena ranks chatbots by having people vote between two anonymous answers. Scores are Elo-style ratings with error margins; models within a few points are statistically tied.
- Coding: On SWE-bench Verified, a widely used coding test, top performance rose from 60% to near 100% in one year, according to Stanford’s 2026 AI Index. Stanford HAI, 2026 AI Index
- Agents: AI agents went from about 12% to about 66% task success on OSWorld, which tests real computer tasks. Stanford HAI, 2026 AI Index
- Uneven skills: The same report notes a top model reads analog clocks correctly only 50.1% of the time. Stanford HAI, 2026 AI Index
6. U.S. vs. China
- Performance gap: U.S. and Chinese models have traded the lead since early 2025; as of March 2026, the top U.S. model led by 2.7%, Stanford found. Stanford HAI, 2026 AI Index
- New companies: The U.S. had 1,953 newly funded AI companies in 2025, more than 10 times the next country. Stanford HAI, 2026 AI Index
- Talent: The number of AI researchers and developers moving to the U.S. has dropped 89% since 2017. Stanford HAI, 2026 AI Index
- Chips and export controls: In January 2026 the Commerce Department moved to case-by-case license reviews for Nvidia H200, AMD MI325X and similar chips to China, with conditions including U.S. third-party testing. U.S. Commerce Dept. (BIS), Jan. 13, 2026 Nvidia’s latest outlook assumes no data center compute revenue from China. Nvidia, Aug. 26, 2026
- Home-grown hardware: DeepSeek’s V4 models, released in preview in April 2026, were adapted to run on Huawei Ascend chips, Reuters reported. Reuters, Apr. 24, 2026
7. Boston and Massachusetts in the AI race
Massachusetts competes less on giant data centers and more on research, talent and applied AI in health care, life sciences and robotics.
- State money: The state capital plan budgets $68.6 million for the Applied AI Hub from fiscal 2026 through 2030, including $10 million in FY2026 and $33.3 million in FY2027. Mass. FY26 Capital Budget, line D050
- Accelerators: The Massachusetts AI Hub, IBM and Red Hat launched an accelerator for early-stage AI startups during Boston Tech Week. Massachusetts AI Hub In Kendall Square, LabCentral’s AI BioHub supports AI-first biotech startups with a $1.9 million MassTech grant. LabCentral AI BioHub
- Research: MIT’s CSAIL is one of the largest university computing labs in the world. See our report on MIT’s AI model for crystal materials.
- Startups and funding: Recent local raises include Ledgebrook’s $200 million and Graylark’s $10.7 million seed. Browse our guide to AI companies in Massachusetts and the Boston robotics guide.
State-level AI job counts are not published as a single official series by the Census Bureau or BLS, so we do not estimate one here.
What the numbers mean
- Spending is running ahead of revenue. Big Tech’s 2026 capex guidance of $720–745 billion is many times the reported annualized revenue of the leading labs, so the build-out is a bet on future demand.
- Nvidia is the toll booth. Most of that spending flows to chips; Nvidia’s data center revenue more than doubled in a year.
- The lead is narrow and rotating. The top of LMArena is a near-tie among Google, Anthropic and Meta, and Stanford measures the U.S.–China gap at under 3%.
- Power is the new bottleneck. Official projections have data-center electricity use roughly doubling or more by 2028–2030.
- Private valuations are not market prices. They are set in negotiated rounds and can move sharply, as OpenAI’s reported shift from $1.4 trillion to $1.25 trillion shows.
What to watch
- Late-October 2026 earnings from Alphabet, Microsoft, Meta and Amazon, with updated capex guidance.
- Anthropic’s expected IPO filing and the valuation investors settle on (Reuters, Oct. 15, 2026).
- Whether OpenAI closes its reported ~$30 billion round (Bloomberg, Oct. 22, 2026).
- Nvidia’s next quarterly report against its $108 billion revenue outlook (Nvidia, Aug. 26, 2026).
- How many H200 export licenses to China are actually granted under the January rule (U.S. Commerce Dept. (BIS), Jan. 13, 2026).
- Colossus 2’s planned additional chip batches through December (Bloomberg via Yahoo Finance, Sept. 24, 2026).
AI race glossary
- Frontier model
- One of the most capable general-purpose AI models available at a given time.
- GPU
- Graphics processing unit, the chip type most used to train and run AI models.
- Capex
- Capital expenditure: spending on long-lived assets like data centers and servers.
- Run rate / annualized revenue
- Recent revenue scaled up to a full year; an estimate, not audited annual sales.
- Post-money valuation
- A company’s value including the new money just raised; pre-money excludes it.
- Open-weight model
- A model whose trained parameters are published so others can run or modify it.
- Terawatt-hour (TWh)
- One billion kilowatt-hours of electricity.
- Export controls
- Government rules that require licenses to sell certain technologies abroad.
- Benchmark
- A standardized test used to compare AI systems on a task.
AI models and companies
New models, agents and products from OpenAI, Anthropic, Google, Meta, Nvidia, Mistral, DeepSeek and others.
- Turkey Opens Probe Into Google AI Overviews, Orders Interim Fixes for Publishers
- OpenAI Offers to Cut Up to 1,000 Megawatts at Georgia Campus When the Grid Strains
- Anthropic Revenue Soars 12-Fold to $17 Billion as Rush for Compute Erases Its Operating Profit
- Business Report: Meta’s AI Ads Outpace Google as Banks Block AI Agents, Nov. 1, 2026
AI in Boston and Massachusetts
MIT, Harvard, Kendall Square and the Boston-area companies building AI.
- Business Report: Oil Plunges 7% on Iran Talk Hopes as Tech Stocks Slide, Nov. 2, 2026
- Business Report: Meta’s AI Ads Outpace Google as Banks Block AI Agents, Nov. 1, 2026
- Amazon Drops Westborough Drone Delivery Plan After Months of Pushback
- Toast Sued by FTC and Seven States Over Hidden Restaurant Fees
AI policy and regulation
Regulators, Congress, courts, copyright fights and AI safety.
AI in defense and warfare
Drones, autonomous weapons, military AI contracts and AI-enabled warfare.
- South Korea Joins a U.S. Space Force War Game for the First Time as a Classified Launch Slips to Tuesday
- AI Chatbots Repeated Russian Propaganda Claims in 70% of Test Answers, Study Finds, as Hackers Hijack War Alert Apps
- Amazon Drops Westborough Drone Delivery Plan After Months of Pushback
- India Launches NVS-03 to Shore Up Its NavIC Navigation Network as Ukraine Arms Maker Cites Starlink Workarounds
Robotics
Humanoids, warehouse and surgical robots, and Boston-area robot makers.
AI business and funding
Funding rounds, acquisitions, data centers and the money behind AI.
- Business Report: Oil Plunges 7% on Iran Talk Hopes as Tech Stocks Slide, Nov. 2, 2026
- Turkey Opens Probe Into Google AI Overviews, Orders Interim Fixes for Publishers
- OpenAI Offers to Cut Up to 1,000 Megawatts at Georgia Campus When the Grid Strains
- Marvell Bets $115 Billion on Lumentum’s AI Optics as Both Stocks Slide
Tech startups
Young companies, seed and Series A rounds, and founders to watch.
- Anthropic Revenue Soars 12-Fold to $17 Billion as Rush for Compute Erases Its Operating Profit
- AI News Roundup: Canada Bets C$1.6B on Cohere as Apple Brings Qwen to China
- Kalshi Raises $1 Billion at $40 Billion Valuation, Nearly Doubling in Five Months
- Qubic Labs, the Quincy Fintech Hub Behind Boston Blockchain Week, Shuts Down
AI explained: the basics behind the headlines
A short, evergreen guide to the terms that come up most in artificial intelligence news. Each point links to the source it is based on.
- Artificial intelligence and machine learning
- Artificial intelligence is the broad field of building computer systems that do tasks associated with human intelligence, such as recognizing images, understanding language or making predictions. Most of today’s AI uses machine learning, in which a system learns patterns from large amounts of data rather than following hand-written rules. Stanford’s annual AI Index tracks research, investment and adoption across the field.
- Large language models and generative AI
- A large language model is trained on huge amounts of text to predict and produce language. Chatbots such as ChatGPT, Claude, Gemini and Grok are built on these models. “Generative AI” covers models that create new text, images, audio, video or code. Newer “agents” can carry out multi-step tasks using tools. Follow releases in our AI models and companies section.
- AI risk and safety
- The U.S. National Institute of Standards and Technology publishes a voluntary AI Risk Management Framework that organizations use to identify and reduce risks such as bias, security weaknesses and unreliable outputs. Safety debates also cover how companies test models before release, a topic in our report on the FTC probe of OpenAI and Anthropic.
- AI regulation
- The European Union’s AI Act sorts AI systems by risk level and sets stricter rules for high-risk uses. The United States has no single comprehensive AI law; agencies apply existing laws and states have passed their own measures. See our AI policy and regulation section.
- AI and copyright
- Courts are deciding whether training AI on copyrighted material is fair use, and the U.S. Copyright Office has published reports on copyright and AI. The first appeals ruling on AI training came in Thomson Reuters v. ROSS Intelligence.
- Boston’s role
- Boston and Cambridge combine university research, including MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), with a dense cluster of AI, robotics and biotech companies around Kendall Square. Start with our guide to AI companies and organizations in Massachusetts and our Boston robotics guide.
About our AI news coverage
AI news from The Boston Report: the latest artificial intelligence news on models and companies, AI policy and regulation, AI in defense, robotics, funding and startups. This AI news page updates automatically every time we publish, and every story links to its sources.
Our artificial intelligence news covers the companies, models, policies and money shaping technology, with extra attention to Boston tech news: funding rounds such as Ledgebrook’s $200 million raise and Graylark’s $10.7 million seed, research such as MIT’s new AI model for crystal materials, and industry moves like Anthropic’s Public Benefit Fund. For local companies beyond tech, see Business and Finance, the Boston business directory and Boston News.
We build stories from company announcements, filings, court records, official statements and established news organizations, and we separate what a company says from what outside reporting confirms. We use AI tools openly to help research and draft; see our AI and Media Disclosure and Editorial Policy, report an error on the Corrections page, or sign up for the free newsletter.
AI race FAQ
Who is winning the AI race right now?
There is no single winner. As of Oct. 22, 2026, Google’s Gemini 4 Argon led LMArena’s text leaderboard, closely followed by models from Anthropic and Meta, while Anthropic and OpenAI lead on private valuation and reported revenue.
How much is OpenAI worth?
OpenAI was valued at $852 billion after its March 2026 round. In October 2026 it was reportedly negotiating a new round of about $30 billion at a $1.25 trillion pre-money valuation; terms were not final.
How much is Anthropic worth?
Anthropic was valued at $965 billion post-money after raising $65 billion in May 2026. Investors in its planned IPO were reportedly discussing a valuation around $1.5 trillion in October 2026.
How much are tech giants spending on AI?
Amazon, Alphabet, Microsoft and Meta guided to roughly $720 billion to $745 billion of combined capital expenditure for 2026 on their July 2026 earnings calls, mostly for AI infrastructure.
How much does Nvidia make from AI chips?
Nvidia’s data center segment brought in $89.0 billion in the quarter ended July 26, 2026, up 117% from a year earlier, out of $96.2 billion in total revenue.
How much electricity do AI data centers use?
The IEA estimates data centers used 415 TWh worldwide in 2024, about 1.5% of global electricity, and projects 945 TWh by 2030 in its base case. In the U.S., data centers used about 4.4% of electricity in 2023.
Is China catching up to the U.S. in AI?
On model quality, largely yes: Stanford’s 2026 AI Index found the top U.S. model led the top Chinese model by 2.7% as of March 2026. The U.S. still leads heavily in private investment, at $285.9 billion versus $12.4 billion in 2025.
What is Massachusetts doing in AI?
The state budgets $68.6 million for its Applied AI Hub from fiscal 2026 to 2030 and backs accelerators, while MIT, Harvard and Kendall Square companies focus on AI research, health care, biotech and robotics.
Sources
Figures checked Oct. 23, 2026. Where a figure could not be verified from a company disclosure, official statistic or established news organization, it was left out.
- TechCrunch, Oct. 22, 2026
- Bloomberg, Oct. 22, 2026
- Bloomberg via Yahoo Finance, Oct. 8, 2026
- Anthropic, May 28, 2026
- Reuters, Aug. 17, 2026
- Reuters, Oct. 14, 2026
- Reuters, Oct. 15, 2026
- Reuters, Feb. 2, 2026
- xAI, Jan. 6, 2026
- CNBC, Sept. 8, 2026
- Reuters, June 3, 2026
- Reuters, Apr. 24, 2026
- Nvidia, Aug. 26, 2026
- Nvidia CFO commentary (SEC), Aug. 26, 2026
- CompaniesMarketCap, close Oct. 23, 2026
- Bloomberg via Yahoo Finance, Sept. 24, 2026
- DataCentres.com summary of July 2026 earnings calls
- Platformonomics, July 2026
- IEA, Energy and AI (2025)
- U.S. DOE / LBNL, Dec. 20, 2024
- BLS via FRED (CES5051800001), Sept. 2026, updated Oct. 2, 2026
- LMArena Text leaderboard, Oct. 22, 2026
- Stanford HAI, 2026 AI Index
- U.S. Commerce Dept. (BIS), Jan. 13, 2026
- Mass. FY26 Capital Budget, line D050
- Massachusetts AI Hub
- LabCentral AI BioHub
Photo credits
- Boston University Center for Computing and Data Sciences tower as Lazarus AI funding puts Boston artificial intelligence in focus: Photo: 4300streetcar, Wikimedia Commons, CC BY 4.0 (file photo)
- Aerial view of downtown Lowell, Massachusetts: Aerial view of downtown Lowell, Massachusetts. Photo: Quintin Soloviev / Wikimedia Commons (CC BY 4.0).
- Qualcomm headquarters building in La Jolla as Qualcomm stock drops on handset outlook: Photo: Coolcaesar, Wikimedia Commons, CC BY-SA 4.0 (file photo)
- Falcon 9 at Vandenberg ahead of USSF-432: A Falcon 9 rocket at Vandenberg Air Force Base (file photo). Photo: SpaceX, Wikimedia Commons, CC0.
- Niagara Falls; viral midterm lighting claim: Horseshoe Falls at Niagara Falls (file photo). Photo: Saffron Blaze, Wikimedia Commons, CC BY-SA 3.0.
- Data center ballot measures: rows of server racks inside a data center: Photo: Carl Lender, Wikimedia Commons, CC BY 2.0 (file photo)
- Google Search schools: elementary students work on laptops in a Virginia classroom: Photo: Virginia Department of Education, Wikimedia Commons, CC BY 2.0 (file photo)
- Block earnings: Block co-founder Jack Dorsey speaking at a U.S. Senate hearing in Washington, D.C., in 2018: Photo: Mark Warner, Wikimedia Commons, CC BY 2.0 (file photo)
- Supermicro earnings: Super Micro Computer booth showing servers at the Computex trade show in Taipei: Photo: Solomon203, Wikimedia Commons, CC BY-SA 4.0 (file photo)
- Artemis II launch; Trump's Declaration of Freedom in Space: NASA's Artemis II mission launches from Kennedy Space Center's Launch Complex 39B on April 1, 2026 (file photo). Photo: NASA/Sam Lott, Wikimedia Commons, Public domain.
- 2023 Justice Department press conference on Binance guilty pleas, before the Binance hack: Treasury Secretary Janet Yellen and Attorney General Merrick Garland announce Binance's guilty pleas in November 2023 (file photo; not related to the Oct. 29 theft). Photo: United States Department of Justice, Wikimedia Commons, Public domain.
- Rows of servers with blinking status lights in a data center, illustrating the computing behind AI models: Photo: Victorgrigas / Wikimedia Commons, CC BY-SA 3.0 (cropped)
- Harvard Yard in autumn in Cambridge, Massachusetts: Photo: Nina R from Africa / Wikimedia Commons, CC BY 2.0
- US Capitol building in Washington under a blue sky: Photo: Noclip / Wikimedia Commons, Public domain
- An MQ-9 Reaper drone, used to illustrate AI in defense coverage: Photo: Lt. Col. Leslie Pratt / Wikimedia Commons, Public domain
- Yellow Spot quadruped robot from Boston Dynamics: Photo: David Perez / Wikimedia Commons, CC BY 4.0
- Boston Financial District skyline: Photo: Nelson48 at English Wikipedia / Wikimedia Commons, Public domain
- Kendall Square buildings in Cambridge, Massachusetts: Photo: M2545 / Wikimedia Commons, CC BY 4.0
Story photos are credited on each article. Photos are from Wikimedia Commons under the licenses shown.