# Financial comparison of OpenAI and Anthropic

The frontier artificial intelligence sector underwent a severe structural transformation between early 2025 and mid-2026. What began as a consumer-driven expansion, spearheaded by the mass adoption of conversational interfaces, matured into a capital-intensive infrastructure race dominated by enterprise integration. At the center of this transition are the market's two apex competitors: OpenAI and Anthropic. The trajectory of these two entities highlights a sharp divergence in go-to-market strategy, infrastructure capitalization, and unit economics. 

By the second quarter of 2026, the financial and competitive dynamics between OpenAI and Anthropic inverted. Anthropic, initially viewed as a safety-focused research laboratory trailing far behind OpenAI's commercial scale, drastically accelerated its annualized recurring revenue (ARR) and private market valuation, ultimately eclipsing OpenAI on several key metrics [cite: 1, 2, 3, 4]. This shift was not driven by consumer adoption, but by a concentrated focus on enterprise density, developer ecosystems, and strategic sovereign wealth partnerships [cite: 5, 6]. The subsequent analysis examines the operational divergence between these two organizations across revenue trajectories, capital intensity, infrastructure accounting, and pre-IPO valuation discipline.

## Revenue Trajectories and Monetization Models

The revenue growth of frontier artificial intelligence companies has detached entirely from historical enterprise software benchmarks. To contextualize the scale, traditional cloud computing required a decade of sustained investment before reaching comparable levels. Amazon Web Services (AWS), which launched foundational tools like S3 and EC2 in 2006, took ten years to cross the $12.2 billion annual revenue threshold in 2016 [cite: 7, 8, 9]. In contrast, the leading artificial intelligence laboratories achieved multiples of that figure in less than three years of commercial operation [cite: 1, 10].

### Consumer Scale Versus Enterprise Density

OpenAI established the early commercial standard through rapid consumer acquisition. The company's revenue expanded from $28 million in 2022 to $2 billion in 2023, largely fueled by ChatGPT premium subscriptions [cite: 11]. By the end of 2024, OpenAI reported $6 billion in revenue, which then accelerated to an ARR of over $20 billion by the end of 2025 [cite: 12, 13, 14]. The consumer base was vast, reaching 800 million to 1 billion weekly active users across its product ecosystem by early 2026 [cite: 6, 15, 16]. 

OpenAI's growth required massive infrastructural overhead to support largely free or low-margin consumer interactions. Approximately 85% of OpenAI's user base was tied to consumer operations, with a significant majority generating no direct subscription revenue [cite: 17]. While OpenAI pushed enterprise adoption—surpassing 1 million business customers and driving enterprise revenues to comprise over 40% of its financial intake by early 2026—its overall revenue density per active user remained relatively low [cite: 6, 16]. As of April 2026, OpenAI's run-rate sat at approximately $24 billion to $25 billion, climbing to an estimated $30 billion by May 2026 [cite: 4, 6, 18].

Anthropic pursued a diametrically opposed commercialization strategy. Bypassing the consumer virality model, Anthropic focused exclusively on business-to-business (B2B) integrations, application programming interface (API) utilization, and agentic workflows. In late 2024, Anthropic's ARR was approximately $1 billion, seemingly hopelessly behind OpenAI's $6 billion [cite: 4, 10]. However, Anthropic's focus on enterprise demand catalyzed an unprecedented growth curve. The company reached a $5 billion ARR by August 2025, $9 billion by December 2025, $14 billion by February 2026, and $30 billion by April 2026 [cite: 1, 6, 10]. By May 2026, Anthropic disclosed a $47 billion annualized revenue run rate [cite: 2, 3].

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### The Economics of Agentic Coding

The primary engine of Anthropic's exponential leap was Claude Code, an agentic programming tool. Released to the public in mid-2025, Claude Code achieved a $1 billion ARR within six months and crossed $2.5 billion in run-rate revenue by February 2026 [cite: 1, 10]. Enterprise customers utilize these models to automate software development, shifting workflows from simple autocomplete suggestions to fully autonomous, multi-step agentic executions. By March 2026, 84% of Uber's developers were classified as agentic coding users, delegating entire workflows to the AI infrastructure [cite: 19].

Anthropic's enterprise concentration provided massive revenue density. The company reported that by April 2026, over 1,000 enterprise customers were spending in excess of $1 million annually on its platforms, a figure that doubled in less than two months [cite: 20, 21, 22]. Eight of the Fortune 10 run Claude in production environments [cite: 23, 24]. While ChatGPT dwarfed Claude in absolute user count (roughly 1 billion monthly active users compared to Claude's 56 million), Anthropic monetized its user base significantly more aggressively, generating an estimated $535 per year per active app user compared to ChatGPT's roughly $20 [cite: 6]. 



### Revenue Run-Rate Accounting and Audit Scrutiny

The exponential ARR claims from both companies have drawn scrutiny from analysts and competitors alike. Due to the opacity of private market accounting, the exact composition of these run rates is subject to debate. Internal communications at OpenAI revealed accusations that Anthropic was overstating its ARR by including gross cloud consumption figures routed through its strategic partners, Amazon and Google, rather than purely net software revenue [cite: 25]. 

Anthropic relies heavily on cloud distribution partnerships, integrating Claude into AWS Bedrock and Google Cloud Vertex AI [cite: 6, 22, 26]. Because hyperscalers handle the distribution and billing, the gross-to-net revenue recognition can artificially inflate top-line ARR if not strictly audited. Industry analysts have noted that neither company is currently reporting on a basis that would definitively survive standard public market auditing without downward revision, characterizing the situation as an "ARR accounting arms race" prior to their initial public offerings [cite: 25].

| Operating Metric | OpenAI | Anthropic |
| :--- | :--- | :--- |
| **Founding Year** | 2015 [cite: 6, 15] | 2021 [cite: 6, 15] |
| **Reported ARR (Mid-2026)** | ~$30 Billion [cite: 2, 18] | $47 Billion [cite: 2, 3] |
| **Primary Customer Base** | Consumer/Prosumer (85%) [cite: 17, 27] | Enterprise/API (85%) [cite: 17, 27] |
| **Est. Monthly Active App Users** | ~1 Billion [cite: 6] | ~56 Million [cite: 6] |
| **Key Flagship Models** | GPT-5 / GPT-5 Pro [cite: 15, 28] | Claude 4 Opus / Claude Code [cite: 15, 28] |

## Capital Intensity and Infrastructure Economics

The development of frontier language models requires capital expenditures (CapEx) at a scale historically reserved for nation-state infrastructure projects or the global energy sector. The cost of acquiring specialized semiconductor hardware, constructing gigawatt-scale data centers, and securing baseline energy supplies has fundamentally altered the venture capital ecosystem. 

### Model Training Costs and Compute Margins

OpenAI operates with the highest capital burn rate in the technology sector. In 2025, the company reported losses of approximately $5 billion while investing heavily in model training and inference capacity [cite: 29]. By early 2026, internal projections indicated OpenAI was on track to lose $14 billion over the calendar year, with cumulative losses potentially reaching $115 billion by 2029 [cite: 30, 31]. The company is not expected to reach free cash flow profitability until after 2030 [cite: 4, 32].

To sustain its compute requirements, OpenAI has entered into staggering infrastructure commitments. The company plans to spend approximately $600 billion on computing power through 2030, an adjustment to align capital expenditures with a broader $1.15 trillion to $1.4 trillion initial plan intended to stretch into 2033 [cite: 14, 33, 34]. These hardware and cloud infrastructure expenditures are distributed across multiple vendors, including an estimated $350 billion allocated to Broadcom, $300 billion to Oracle, $250 billion to Microsoft, and smaller tranches to Nvidia, AMD, and AWS [cite: 33, 35]. 

Furthermore, OpenAI's inference costs—the computational expense of generating responses for users in real-time—have escalated dramatically. While compute margins improved to 70% on older models by late 2025, the sheer volume of queries pushed inference costs to $8.4 billion in 2025, with projections of $14.1 billion for 2026 [cite: 36, 37]. Every dollar of revenue generated costs the company approximately $2.20 to $2.25 to fulfill and support [cite: 31, 38].

While Anthropic is also heavily capitalized, its unit economics suggest a significantly higher degree of operational efficiency. Anthropic's training costs are projected to peak at around $30 billion by 2028, roughly four times less than OpenAI's projected $121 billion compute spend for the same year [cite: 4, 17]. This divergence is rooted in the enterprise-first nature of Anthropic's business. Enterprise users generate deterministic, code-heavy, and API-driven queries that yield higher revenue per token than open-ended consumer chatbot interactions. Consequently, Anthropic projects achieving positive free cash flow of up to $17 billion by 2028 on $70 billion in revenue, boasting gross margins that are expected to expand from 44% in 2026 to nearly 77% by 2028 [cite: 17, 23, 27, 36]. In the second quarter of 2026, Anthropic internally projected its first adjusted operating profit of $559 million [cite: 17, 32]. 

### Inference Costs and the Token Pricing Crisis

The disparity in profitability paths is heavily influenced by the emergence of a structural token pricing crisis across the industry. As enterprises transitioned from utilizing simple chatbots to deploying autonomous agents that execute multi-step software development workflows, total token consumption exploded. By early 2026, major technology companies including Uber, ServiceNow, and Snowflake found that agent-heavy workflows were incinerating their annual artificial intelligence budgets in a matter of months [cite: 19, 32, 39]. Because foundation models price usage per million tokens, the continuous looping required by agentic systems multiplied enterprise bills exponentially.

This budgetary strain forced a market reaction. Enterprises began implementing model-routing systems and strict usage limits to curb expenses, while data integration firms like Palantir capitalized on the anxiety by pitching abstraction layers designed to prevent vendor lock-in with specific foundation model providers [cite: 39]. In response to Anthropic's enterprise momentum and the threat of budget exhaustion, OpenAI reportedly considered drastic cuts to its API token pricing [cite: 31, 40, 41]. While price reductions stimulate raw consumption, they simultaneously erode the already fragile profit margins of companies bleeding billions in infrastructure costs [cite: 40].

Further compounding the margin pressure is the structural pricing advantage held by vertically integrated competitors like Google. Utilizing proprietary Tensor Processing Units (TPUs) rather than relying exclusively on third-party Nvidia hardware, Google introduced Gemini 3.5 Flash in mid-2026, driving the inference cost floor even lower and threatening to commoditize the foundation model layer entirely [cite: 19]. 

## The Hyperscaler Circular Economy

The traditional venture capital model is fundamentally ill-equipped to fund single corporate entities requiring tens of billions of dollars annually. To bridge this gap, frontier artificial intelligence firms entered into symbiotic financial relationships with the world's largest cloud infrastructure providers—Microsoft, Amazon, and Google. These arrangements created a novel financial structure often referred to as the "cloud-credit circuit" or the hyperscaler circular economy [cite: 42, 43].

### Mechanics of the Cloud-Credit Circuit

In a standard hyperscaler partnership, the cloud provider makes a multi-billion dollar equity investment into the AI laboratory. However, a vast majority of this capital is not transferred as liquid cash; instead, it is issued as cloud computing credits [cite: 26, 43, 44, 45]. The AI laboratory is contractually obligated to utilize the hyperscaler's infrastructure for model training and inference. 

This creates a highly lucrative accounting loop for the hyperscaler. First, the hyperscaler commits capital (often via credits) to the AI firm at an elevated private market valuation. Second, the AI firm consumes the compute credits. The hyperscaler records this consumption as top-line cloud revenue [cite: 43, 44, 46]. Finally, as the AI firm raises subsequent rounds of funding from external sovereign wealth or venture funds at higher valuations, the hyperscaler applies mark-to-market accounting to write up the value of its equity stake. This paper gain is recorded as net income or "other income" on the hyperscaler's income statement [cite: 43, 46, 47].

Through this structure, a single dollar invested by a cloud provider performs double duty: it returns almost immediately as high-margin cloud revenue, and it inflates corporate profitability through equity dilution gains, without requiring the AI firm to generate standalone profitability or return cash dividends [cite: 43, 47].

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### Mark-to-Market Accounting and Equity Gains

Microsoft's relationship with OpenAI exemplifies the scale of these accounting mechanics. Over the course of the partnership, Microsoft committed $13 billion in funding, of which $11.8 billion had been funded by March 2026 [cite: 46, 47]. Because much of this was in the form of Azure compute capacity, OpenAI's massive operational burn directly fueled Microsoft's Azure revenue growth. 

In October 2025, OpenAI underwent a corporate recapitalization, transitioning its core operations into a Public Benefit Corporation (PBC) and raising additional funds [cite: 48, 49]. Despite Microsoft's relative ownership percentage decreasing from 32.5% to approximately 27% on an as-converted diluted basis, the sheer explosion in OpenAI's valuation allowed Microsoft to record $5.9 billion in net gains for the nine months ending March 2026 [cite: 46, 47, 48]. The 27% stake held by Microsoft was subsequently valued at approximately $135 billion [cite: 48, 49]. 

Anthropic engaged in a dual-hyperscaler strategy, balancing dependencies between Amazon and Google to avoid total vendor lock-in, while utilizing specialized silicon from both (AWS Trainium/Inferentia and Google TPUs) [cite: 26, 50]. Alphabet (Google) committed a structured $40 billion investment package—$10 billion in upfront capital at a $350 billion reference valuation, paired with $30 billion in performance-contingent funding [cite: 50, 51, 52]. Simultaneously, Amazon expanded its strategic relationship with Anthropic to a potential $25 billion framework. Under this agreement, Anthropic committed to route over $100 billion in cloud spending through AWS over a ten-year period, effectively guaranteeing Amazon a decade of captive infrastructure revenue in exchange for milestone-gated equity injections [cite: 26, 51, 53]. 

### Tax Treatment and Research Categorization

The reliance on cloud credits introduces severe accounting complexity for the artificial intelligence laboratories themselves. Distinguishing between capitalizable development costs and operating expenses is highly complex under current financial regulations (ASC 350-40 and ASC 730) [cite: 54, 55]. When an AI firm receives an upfront cloud credit, it must establish a prepaid asset. As the compute is consumed for model training, the firm must determine if those costs qualify as research and development (R&D).

Under IRS Section 174A, domestic R&D expenditures can be deducted or amortized over five years, whereas foreign research costs must be amortized over 15 years [cite: 56, 57]. With the astronomical costs of GPU and TPU hours, improper segregation of model training compute versus production inference compute—or a failure to separate domestic engineering labor from offshore annotation teams—can drastically alter an AI firm's taxable income, cash runway, and IPO readiness [cite: 56, 57].

## Sovereign Wealth Capital Allocation

As the capital demands of OpenAI and Anthropic outstripped the capacity of traditional venture capital, and as firms sought alternatives to pure hyperscaler lock-in, sovereign wealth funds emerged as the critical financiers of the AI ecosystem. In 2025, global sovereign wealth funds reached a record $15 trillion in assets under management, deploying $66 billion directly into AI and digital infrastructure [cite: 58, 59]. 

### Gulf State Digital Infrastructure Investments

Middle Eastern sovereign wealth funds aggressively positioned themselves to capture the foundational AI layer, aiming to transition their economies from hydrocarbon reliance to digital dominance [cite: 60]. The seven largest Gulf wealth funds accounted for 43% of all state-owned capital invested globally in 2025, committing a historic $126 billion to global markets [cite: 58, 59, 61].

Saudi Arabia's Public Investment Fund (PIF) committed $36.2 billion to AI and digital initiatives in 2025, while Abu Dhabi's Mubadala Investment Company deployed $32.7 billion across various tech transactions [cite: 58, 59, 61]. Abu Dhabi further consolidated its technology investment apparatus by launching MGX, a dedicated AI investment vehicle governed by Mubadala and G42 leadership, with a mandate to deploy $10 billion annually [cite: 60, 62, 63]. 

OpenAI aggressively courted these entities. In early 2026, OpenAI CEO Sam Altman engaged in high-stakes negotiations in the United Arab Emirates, ultimately securing participation from MGX in OpenAI's massive $122 billion funding round [cite: 29, 61, 64, 65]. Anthropic initially resisted direct Middle Eastern state funding, with CEO Dario Amodei warning of geopolitical risks [cite: 66]. However, indirect and eventually direct capital flowed, as MGX-linked funds acquired Anthropic shares from the FTX bankruptcy estate, and sovereign funds were increasingly required to match OpenAI's formidable war chest [cite: 66]. 

### Singaporean Dual-Bet Investment Strategy

Singapore's sovereign wealth apparatus—comprising GIC and Temasek—took a uniquely aggressive stance. Recognizing the systemic importance of the technology, both funds abandoned exclusivity and invested in the same cap tables simultaneously. 

GIC participated in Anthropic's Series F ($13 billion), co-led the Series G ($30 billion), and anchored the Series H ($65 billion) [cite: 24, 67, 68]. Temasek, previously an indirect investor in OpenAI through Alpha Intelligence Capital, participated directly in OpenAI's $122 billion round while also taking a significant position alongside GIC in Anthropic's Series H [cite: 67, 68, 69]. This dual-bet strategy indicates that national sovereign funds view frontier models as fundamental utility infrastructure rather than standard venture bets, hedging across the duopoly to ensure exposure regardless of the ultimate victor [cite: 67].

| Sovereign Wealth Entity | Primary AI Focus | OpenAI Involvement | Anthropic Involvement |
| :--- | :--- | :--- | :--- |
| **MGX (Abu Dhabi)** | Global AI Infrastructure / Models | Participant in $122B round [cite: 65] | Indirect / Direct holdings [cite: 62, 66] |
| **PIF (Saudi Arabia)** | Domestic Tech Transition | Target for massive funding [cite: 29] | Unspecified / Broad sector targets [cite: 60] |
| **GIC (Singapore)** | Enterprise AI Leadership | None publicly listed [cite: 67] | Co-Lead: Series G, Series H [cite: 24, 67] |
| **Temasek (Singapore)** | Diversified Tech/AI Portfolios | Participant in $122B round [cite: 67] | Participant in $65B Series H [cite: 67, 68] |

## Private Market Valuations and IPO Discipline

By mid-2026, the artificial intelligence industry faced an impending reckoning with the public markets. OpenAI and Anthropic both filed confidential S-1 prospectuses with the US Securities and Exchange Commission in May and June 2026, respectively, signaling their intent to list publicly [cite: 30, 38, 70]. The confidential filings allowed both firms to negotiate with regulators regarding their unprecedented accounting structures while delaying public disclosure of their gross margins and actual cash burn [cite: 23, 38].

### Primary Funding Rounds and Secondary Market Divergence

The primary and secondary private markets exhibited starkly different reactions to the two companies as the IPO window approached. In its March 2026 primary funding round, OpenAI was valued at $852 billion [cite: 2, 30]. In subsequent secondary market trading—where employees and early investors sell equity on platforms like Forge Global and Nasdaq Private Market—OpenAI shares traded sluggishly. By April 2026, OpenAI's implied secondary valuation sat at roughly $880 billion, representing a meager 3% premium over its primary round, and at times facing thin buyer demand and slight discounts [cite: 71, 72, 73, 74]. 

Anthropic experienced the inverse dynamic. Following its $380 billion Series G in February 2026, rabid investor demand caused its secondary market valuation to skyrocket to an implied $1 trillion, a 163% premium over its primary valuation [cite: 71, 72, 73, 74]. This momentum allowed Anthropic to execute its Series H in May 2026 at a $965 billion post-money valuation, officially surpassing OpenAI as the world's most valuable private AI company [cite: 2, 3, 68, 75]. 

The valuation-to-revenue multiples reflect differing market confidence regarding the sustainability of each firm's growth. Based on early 2026 estimates, OpenAI was trading at roughly 35x to 41x annualized revenue, while Anthropic commanded a similar or slightly lower multiple (20x to 41x depending on the specific month's run-rate denominator) but with vastly superior top-line velocity and gross margin projections [cite: 27, 32, 76]. 

### Forward Revenue Multiples and Historical IPO Analogs

To gauge market reception, institutional analysts rely on historical benchmarks. The targeted mega-IPOs draw comparisons to Snowflake (2020), Uber (2019), and the dot-com era of 1999 [cite: 39, 77, 78].

Snowflake went public with a net revenue retention rate of 158% and triple-digit revenue growth, despite operating losses and sub-optimal initial gross margins of 56.2% [cite: 78, 79]. Anthropic's enterprise metrics surpass Snowflake's early parameters; Anthropic's B2B growth compounded at 10x annually for three consecutive years, a feat unmatched in SaaS history [cite: 10, 80]. 

However, the IPO market remains wary of the dynamic that defined Uber's public offering: massive, sustained unprofitability subsidized by private capital. OpenAI's structural cash burn mirrors the capital incineration characteristic of ride-sharing battles, but scaled up by orders of magnitude [cite: 17, 39]. The inherent risk is that public market investors, deprived of the hyperscaler cloud-credit accounting benefits that subsidized private valuations, will refuse to underwrite OpenAI's $14 billion annual losses at a $1 trillion valuation [cite: 31].

### The Bear Case of Foundation Model Commoditization

While the bull case for artificial intelligence assumes that scaling laws will yield artificial general intelligence and monopolistic pricing power, a substantive bear case has emerged regarding enterprise commoditization [cite: 42, 81]. 

The threat to OpenAI and Anthropic is that foundation models become commoditized, interchangeable utility layers where inference costs approach zero, rendering their multi-hundred-billion dollar valuations unsustainable [cite: 42]. If the token pricing crisis forces a continuous race to the bottom, the value of the ecosystem will accrue to the hyperscalers providing the physical compute and the data integrators building the specific workflows, fundamentally hollowing out the profit margins of the foundation model providers [cite: 31, 42]. The disparity in capital intensity suggests that Anthropic's enterprise density provides a superior buffer against this commoditization relative to OpenAI's consumer-heavy, high-burn strategy.

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47. [Mint (YouTube): Anthropic Surpasses OpenAI Valuation](https://www.youtube.com/watch?v=PgERNx05S7Y)
48. [Reddit r/Futurology: Anthropic just passed OpenAI in valuation and revenue](https://www.reddit.com/r/Futurology/comments/1t1sqmo/anthropic_just_passed_openai_in_valuation_and/)
49. [New Market Pitch: Is Anthropic now ahead of OpenAI on revenue?](https://newmarketpitch.com/blogs/news/generative-ai-anthropic-ahead-openai)
50. [ElectroIQ: OpenAI Vs. Anthropic Statistics](https://electroiq.com/stats/openai-vs-anthropic-statistics/)
51. [SaaStr: Anthropic Just Passed OpenAI In Revenue While Spending 4x Less to Train Their Models](https://www.saastr.com/anthropic-just-passed-openai-in-revenue-while-spending-4x-less-to-train-their-models/)
52. [PR Newswire: OpenAI and Anthropic Dominate AI Revenue - and Communicate Very Differently](https://www.prnewswire.com/news-releases/openai-and-anthropic-dominate-ai-revenue--and-communicate-very-differently-302776605.html)
53. [Trending Topics: Anthropic overtakes OpenAI in revenue hitting $30 billion run rate](https://www.trendingtopics.eu/anthropic-overtakes-openai-in-revenue-hitting-30-billion-run-rate/)
54. [Semafor: The playbook Abu Dhabi's MGX uses to get exclusive investment opportunities](https://www.semafor.com/article/02/18/2026/the-playbook-abu-dhabis-mgx-uses-to-get-exclusive-investment-opportunities)
55. [Finance Middle East: AI Anchors GCC Sovereign Wealth Fund Strategy in 2025](https://www.financemiddleeast.com/investments/ai-anchors-gcc-sovereign-wealth-fund-strategy-in-2025/)
56. [Mubadala: AI to revolutionize investment strategies: Mubadala and MGX report](https://www.mubadala.com/en/news/ai-to-revolutionize-investment-strategies-mubadala-and-mgx-report)
57. [Chronograph: How Gulf Sovereign Wealth Funds Are Reshaping AI, Sports, and Renewable Energy](https://www.chronograph.pe/how-gulf-sovereign-wealth-funds-are-reshaping-ai-sports-and-renewable-energy/)
58. [Tax Adepts: The Rise of the “Capital of Capital”: Inside Abu Dhabi's AI-Driven Sovereign Wealth Revolution](https://taxadepts.com/abu-dhabi-wealth-fund-restructure-ai)
59. [ArXiv: The End of the Foundation Model Era (Grogan)](https://arxiv.org/pdf/2604.06217)
60. [Advisor Analyst: The Bullish and Bearish Case for 2026](https://advisoranalyst.com/2026/01/30/the-bullish-and-bearish-case-for-2026.html/)
61. [BMO Economics: The Bull Case, the Bear Case, and Asset Bubbles](https://economics.bmo.com/en/publications/detail/47141b9f-38e7-451e-a727-70679376a861/)
62. [The AI Enterprise: The OpenAI Math Problem: Bull vs. Bear](https://www.theaienterprise.io/p/openai-math-problem-bull-bear)
63. [Stansberry Research: The AI Bull and Bear Case](https://stansberryresearch.com/health-wealth-bulletin/the-ai-bull-and-bear-case)
64. [Morningstar (No Additional Information Found)](https://www.morningstar.com/stocks/anthropics-gross-margin-is-most-important-number-tech)
65. [SaaStr (No Additional Information Found)](https://www.saastr.com/anthropic-just-passed-openai-in-revenue-while-spending-4x-less-to-train-their-models/)
66. [The AI Enterprise (No Additional Information Found)](https://www.theaienterprise.io/p/openai-math-problem-bull-bear)
67. [New Market Pitch (No Additional Information Found)](https://newmarketpitch.com/blogs/news/generative-ai-anthropic-ahead-openai)
68. [New Market Pitch: OpenAI vs Anthropic comparison report](https://newmarketpitch.com/blogs/news/generative-ai-anthropic-ahead-openai)
69. [Syntax Data: A Multi-Dimensional Peer Analysis of Anthropic](https://www.syntaxdata.com/research/a-multi-dimensional-peer-analysis-of-anthropic)
70. [The Information: Anthropic Is Likely Generating at Least 35% More Revenue Than OpenAI](https://www.theinformation.com/newsletters/the-briefing/anthropic-likely-generating-least-35-revenue-openai)
71. [Deep Research Global: Anthropic - Company Analysis and Outlook Report (2026)](https://www.deepresearchglobal.com/p/anthropic-company-analysis-outlook-report)
72. [ElectroIQ (No Additional Information Found)](https://electroiq.com/stats/openai-vs-anthropic-statistics/)
73. [Dev.to: History of Amazon Web Services (AWS)](https://dev.to/aws_1_27d6cbc9e944aa228ef/history-of-amazon-web-services-aws-37g1)
74. [Crest Infotech: AWS History and Benefits](https://www.crestinfotech.com/aws-history-benefits/)
75. [Dazeinfo: Amazon Web Services Revenue by Year](https://dazeinfo.com/2019/11/06/amazon-web-services-revenue-by-year-graphfarm/)
76. [Wikipedia: Amazon Web Services](https://en.wikipedia.org/wiki/Amazon_Web_Services)
77. [ElectroIQ: AWS Statistics](https://electroiq.com/stats/aws-statistics/)
78. [Let's Data Science: Microsoft discloses OpenAI stakes and gains](https://letsdatascience.com/news/microsoft-discloses-openai-stakes-and-gains-f5d59916)
79. [Deep Research Global: OpenAI - Company Analysis and Outlook Report (2026)](https://www.deepresearchglobal.com/p/openai-company-analysis-outlook-report)
80. [Om.co: What Microsoft’s 10-Q Says About OpenAI](https://om.co/2026/05/01/what-microsofts-10-q-says-about-openai/)
81. [Weex: How much of OpenAI does Microsoft own? The 2026 Reality Check](https://www.weex.com/questions/article/how-much-of-openai-does-microsoft-own-the-2026-reality-check-20476)
82. [Intellectia.ai: OpenAI's Capital Expenditure Update Positively Impacts Microsoft and Oracle](https://intellectia.ai/news/stock/openais-capital-expenditure-update-positively-impacts-microsoft-and-oracle)
83. [Benzinga: Anthropic's Growth Is Exploding. Palantir Says That's Exactly The Problem](https://www.benzinga.com/markets/tech/26/06/53111944/anthropics-growth-is-exploding-palantir-says-thats-exactly-the-problem)
84. [Forbes: Anthropic, OpenAI, And The Path To Enterprise AI Profitability](https://www.forbes.com/sites/paulocarvao/2026/05/21/anthropic-openai-enterprise-ai-profitability/)
85. [Seeking Alpha: SA Asks: Anthropic vs. OpenAI - Which is the better investment?](https://seekingalpha.com/news/4601142-sa-asks-anthropic-vs-openai-which-is-the-better-investment)
86. [Morningstar: OpenAI, Anthropic Highlight Revenue Gains as IPO Hype Builds](https://www.morningstar.com/markets/openai-anthropic-highlight-revenue-gains-ipo-hype-builds)
87. [Augment Market: How Anthropic overtook OpenAI in our pre-IPO rankings](https://augment.market/pulse/how-anthropic-overtook-openai-in-our-pre-ipo-rankings)
88. [AI Perks: Anthropic Company History & Ownership](https://www.getaiperks.com/en/blogs/32-anthropic-company-history-ownership)
89. [Substack: The Growth Miracle and the Six Fractures (Shanaka Anslem Perera)](https://shanakaanslemperera.substack.com/p/the-growth-miracle-and-the-six-fractures)
90. [Intellectia.ai: Google-Anthropic $40B Investment 2026](https://intellectia.ai/blog/google-anthropic-40b-investment-2026)
91. [TechJack Solutions: Cloud Spend Lock-In Is the New Venture Round](https://techjacksolutions.com/ai-brief/cloud-spend-lock-in-is-the-new-venture-round-what-amazon-ant/)
92. [Axios: Google's $40B Anthropic move is Big Tech's latest huge AI bet](https://www.axios.com/2026/04/24/google-amazon-anthropic-investment)
93. [ValueAdd VC: Anthropic vs OpenAI: The Real Differences](https://valueaddvc.com/blog/anthropic-vs-openai-the-real-differences-in-model-safety-performance-and-pricing)
94. [Investing.com: The AI Token Pricing Crisis Behind OpenAI And Anthropic’s Revenue Race](https://www.investing.com/analysis/the-ai-token-pricing-crisis-behind-openai-and-anthropics-revenue-race-200680777)
95. [ElectroIQ (No Additional Information Found)](https://electroiq.com/stats/openai-vs-anthropic-statistics/)
96. [TradingView / Stocktwits: OpenAI, Anthropic Cutting Token Prices? This War Could Dent Profits Just As Both Head For IPOs](https://www.tradingview.com/news/stocktwits:f5714fd40094b:0-openai-anthropic-cutting-token-prices-this-war-could-dent-profits-just-as-both-head-for-ipos/)
97. [Forbes: The AI Profitability Question Before The S-1 Is Filed](https://www.forbes.com/sites/paulocarvao/2026/05/21/anthropic-openai-enterprise-ai-profitability/)
98. [SGAI.md: Sovereign Capital and Frontier AI](https://sgai.md/sovereign-capital-frontier-ai/)
99. [Backscoop: GIC, Temasek join Anthropic’s $65B funding round](https://www.backscoop.com/newsletter-posts/gic-temasek-join-anthropics-65b-funding-round)
100. [TechNode Global: GIC, Temasek anchor Singapore’s investment in Anthropic’s $65B Series H round](https://technode.global/2026/05/29/gic-temasek-anchor-singapores-investment-in-anthropics-65b-series-h-round/)
101. [TradingKey: Anthropic IPO: Claude AI trading key](https://www.tradingkey.com/analysis/stocks/us-stocks/261951081-anthropic-ipo-claude-ai-tradingkey)
102. [GIC Press Release: GIC Leads Series G in Anthropic](https://www.gic.com.sg/uploads/2026/02/GIC-Leads-Series-G-in-Anthropic.pdf)
103. [Ridgeway FS: Bookkeeping for AI Companies](https://www.ridgewayfs.com/bookkeeping-for-ai-companies/)
104. [Fondo: Accounting Solution for AI Startups: R&D Capitalization, Compute, and Engineering Labor](https://ai.fondo.com/accounting-solution-ai-startups-rd-capitalization-compute-engineering-labor)
105. [Método Viral: AI Bubble: How Accounting Rules Fuel Big Tech](https://metodoviral.com/en/news/ai-bubble-how-accounting-rules-fuel-big-tech/)
106. [Crowe: Accounting for AI Implementation Costs](https://www.crowe.com/insights/accounting-for-ai-implementation-costs)
107. [Zenskar: Accounting for Cloud Computing Arrangements](https://www.zenskar.com/blog/accounting-for-cloud-computing-arrangements)

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26. [i10x.ai](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHq0KlCIUm--p-bCzHUDjRs5mTEFgfWh9UvUGAw07iP57ShoKSLN4T8iJQDvEgSj7KhbmtHId4JSCCPEoyp4frHeI8pwZF0hPbUFYHzEIGNk9ACdzYTNSRjKEy7i8-CgwBQTIpVUifUchEY0MuUL6fzz2AeCDHUxww=)
27. [deepresearchglobal.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEADPVter-cWcR5MhcJYQ1qk8e1zi42bViezS5IzSQPD0JvjAUYuV04_yH8blfMIKTCWk-rIp3_p4SrQcjRaNRkIlyywioGB0UO_2-DgpR4mPd0ytVwGEDIy0hfaEBP-DaySVb40X2zaADD3eyEaTLGvRWtKSvSVeAwjI6KabLZtKWMvRc=)
28. [valueaddvc.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGQcU441OelKEkBvnjsHqXgJxSLdpKNZyXATmW5dBauP-08WicsPDJwb5kV1cCCubiC4cnJlogyQcWTI--BJSuJDsfgPV1X3whXDpLL4YwJT3zDJkS4qCFd6K-LARJ1sJN82z68cxMWBrRLe7BQN_88smqoHOubsFaM5QYkBKx9N7qMi5Z_pYkUmnkrbMtdHGZ7LeUrfcJnLM-lPKruAOKC2bI=)
29. [menabytes.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEgdUFfeReI2G2v131sBr-JG7swQ7JffMosFphuHOGWnWKzt5g6X3ci1q1xXhue67goTEQnMhnr2dE9mNYU1YnT0ZJyjp-YhwwX09Zp0tXlS6mRFFcqhSAyVhau3bcKWA==)
30. [thestatesman.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQElB0r4Gxacda5Pg54COZSdPE_F-lIFu2rlcrYTxUp51isjpXhPni-5a_vtJ6ib9DQ3XzImyDxF1kPqwQO64aseQ4LeR4BW2q1IFEkBXqxrhqPXy4-0IN6VZz7aLPdwVnkSAITPpc3AEy3WVBYNH0xVvmQFZVq0be04ttO8K6NobhuIMPPz3ldHDPtpANyWpJXht9xB6i7-cJVbvYx_m9uXuNsW)
31. [theaienterprise.io](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHvhZ9n-YoSujPw1dxX4PrcTmMEqFaNcP1GFzcDDf8rlBK4x3miCPQKJiZaXvDUDcfh-qP8MIy049qlVHx_7MYAt81BpGW_NuTr4DIXPN7YLdYEqV3do7HlFXcv6fojeLmTo_qkaEUgATTz_id952F2SP0zKg==)
32. [seekingalpha.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEId4FSzLYj7vWuflbMBxeLVIZjB6q2t8w2vbyyCpdwmTrnALRWuqRwlMZi1BVlSP5bRUazERdZQVSGgXh1LJoe_4Hjl8BSiqw6hKdGZTcuha7imxfBpUUNRQ11GunWRJn6Rp5u_8yCPwr_8DN_3ZhaptSQBTaDuy_7GhA0rPvZGJnY89wborxHlxBAyDMGsRTrWPygwsU=)
33. [tomtunguz.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFuhyTkR_Isv5cMP-HOLdeV-g0il6M0Qvdg_amsgZgU22oPy2EfzuXNK6GGZw9K9-i1WbevehlYizyFSWrZL3E6SW068jQZZkzFsN7YlyIMxquNRZvVvbOMB2aA4zF1zwZdCTy3t471m9LYaJGkFQM=)
34. [intellectia.ai](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEuPmODoZaFL0Secj_StiDDuAVvEENnmQGug78cRVTVHZMcSq5jjpckeEF3MdqbbHH6cJruudC55kEiKVLfNiGCXvXdRCLG3l1eCWCVDWuq-ipjNEb59tMDbZS2x6Dv2Vs-eglv7K9BuL2NIo-4p4HHCal-_iJCUNSNX9eLmeWmEeltSaNnhcm2ppF6EKU7bUIBJ9Qakx74EvHw4XZtWqD4eOA=)
35. [forbes.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEBruP0LKCOKL935_FVeyhvbjOA7jNhGaPpdeir6jH7tGoRdkSJxn1vSBe3slBwM_2q0GqwNZgi4VBsG1y2VBuA4INSC_yUlnWxEZ68j88VJkNn0wNyCxxo4v-MH3bn7vP7L6H4dbfbSymb-deZs_2UconpI8of5VkBlWQW-vyqFVJo-aYt)
36. [saastr.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFCN4dfBqVrISd00qjckAitZgu4svWGJ8SKHn05-SMj7t9hOGirc9jHktqDYDn4XBQ-wgkny5zqyYu2PJ755vqaqFZGHh31RLWFjE1oecHUd05L_W49l5ZT-oiM5jOiHwS0yI6gaI3KxbhakKFlHEakyLBpB1_XfMHdR-ksQV5miZzAT3SKfu64yQHLB_m_1kR4urw59-gJbHGxC8NyVe7JBG-zqTgfjgB5WlHgsbAc-Wc1ih0niZMf0E1PkQ3Onq0-nO0FEhbjqs81Dh8PHIYVjepb_QTSqd80bkhhrvofvDEn)
37. [indmoney.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFseeNtE5O3MEP5XYkpBNL6pOWIdSac4RKLhtc9tafGgVIy4unUwh1mPLHojU3i8JxpENl3UzZ1qNbsM5wv4uoT7u1uNVrWFgWPw5DwNNzrocubrScsYTZ_IjeZqf9XAy_ZU655y5ZhqUJeyTtE-6gc-2O1AvVXeG6Swd72s3E_fhokjQ==)
38. [247wallst.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF2Et3jJpUFt2uDC5yMCapco0P0ojkWUBKetCSi-D2rqlhHUzy80Rbb3SsWM1ddRxVIsfJOci0qbkrEQOjPYsJIK9Y9ZG_1GRkbKQyy9tY8zQ-zBP7WoHbI5eH22raMPXfJWPCgHWYorBZYaQHjTSR8hueI8XTsG6_DvExq2MrKJaX7Cb5yf48o-SaQqeuZ_EvdRtHdd8KZ0kct8lD16DgMDXdf0JS1C2ZG1c4A)
39. [benzinga.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGFlML2ohL5rmRVatDUqzGAKwKdoL63Xz2gzSOz4CK-LU-hfZVUOtF1FvHTPWdiQqrrbiNjqWHu8q0LEjtmknq4QQaYE0NcbekWi34gCzcVHzYsprzO6WGecy9ODRMRaVSXrZlI6BaZWeTMCaQs6UJPKh_oTF6KjTqH5hIpVqMQjLb-xjBXz8ytBA-Hn7u7iJ--tuH1OpLvOqRwPeR-iiXPt1eSrO-K0MfzWyQPFAcnx9o=)
40. [tradingview.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGG-SM6XEwBZuu9fHYX0KP4nmPpA0YchRofE0pOBd_3DSP_ai8kliE1RPT6XGDKRDzgYkJQ5gh0tX7KTDQDnFb8aEldJrBdel1-Y9RijXlKWuVN1TOV1Ms1Vf5GrGVAZsAltP48zyimY1o3lqRI05PWnsOg1Ky_yZBTaNhFMKlgOCuyKTa2lUbWUAm9YzPI1jn-RhuDyx04MAKi--Ym4SEvSWRYkFVe6E7MqKwXIxaBmsm6OLXxyJUVMF3kY-k9uU3sZewNzbmLSOq7O_vfC1BS)
41. [tradingkey.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFeJ4UjR0T3RlZCyhu9H2FS83EpmKYyAgl1iQi2h0z7BiEDHBlkHjxYIuzvJLrjZh3NnWLcr5q6F31DFhEpFwsIJ8S1YyGA5WUs2nmgSw9uoZbcGCo13j77Qw8UlbEvERwVTFfC3nLDRvvwk9hHLOYVv3oqmADU3OitoiO0m1rLZVgGpSUivcPzuPvS34EWO-Uj8KZXo-nL)
42. [arxiv.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFbWE1h1nEydT_051nApXUMX0kEKkHvDNORMaWDGzn6-VDOmG2sratOZ9uJG2Y2CIWtW4t1Tl8G-5C5fvaOAUoXY_LhTP0WwZJBdetbrO7m8mHEmy8A2g==)
43. [metodoviral.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEebBqLjieFDOnfOSKyK5HQCGcIMcjciJhiAhq0foDRpFTnVHvUOM2mZ23alBcCzscG9gDVl5--ONCVK9G9KuyYsWrukp06b0jl5krY3c3MU7nqdf7-Za7TEMzNTzmqsh4ujKTsRVEwfY8WI5jaEleCTnloDwt3vlHPrIMIyi7cYxrDeQ==)
44. [ycombinator.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEKUa6QdyHF7KyN7u0WGadCI_gUafuT2u2uqmYtWQgYqZ94fIW7MWGt2DrpoEgi1RzzD-4FQLuO_HJwml6s1O_iPxHrQm2oPUQuV4UsjysF1S3L-e31kHl3ZQwhWxQg_XigjoY=)
45. [semafor.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH8-7HtEy1gSH--GnKNaDYPsvY1dGzgxyFXEmk_6OF1R5aoDDcUYtsAqLNWuWiMYc1jzLPQUzyNvWWjxsZ63Z5sPvQ8F6mysZOjqFu-xmxDju2JroKQbHBziBIfXURt3vSFeTRHwMETOORMBsnD0oFCUwrV1cWvTkIzH0LSNEeUsqL5NwHkhcCSV2iZBZjjEfUCSwVKDmn2UKj0QZKhFmFCGbPQCVQ-njc=)
46. [letsdatascience.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEZBEZc7XLZVmLSpEQakbrCmAIquKlY3OOAVtxETzaMvOqrpkk5-pWwS--BigJIWKdA2Fl78SLiEQpuCkNzFAkw5UVoL0Iea0zvruJMWVTUx8ZNx_2BlGXnDUQPeChu7QpLKjeH6qPW0uvhPwXD5TYPa72Gu0dimhjmG-E_j1dYO1F2tYIg75bn4coH)
47. [om.co](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFrcPyBx7ch_YgdasfBbrn7yRimBOXYiB8KHRewVXk9qtU_i6QTQjq6Lk9C4DlQ-eQWpk-27OlrKRuw0drsuc7jdwgrflY5ZRQrgyHYX8S7Pwz5vdbxyEE8s5-n_AiX1PY8HPRQEVk2qoi8XjFXcfMyJT1iT4py)
48. [microsoft.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEH7Jh4lMFL2smx-OgODGDBAdMaaQZyPc6ksoJS2WReA9fZgE9dYPvQHc0KAVpuYuoyMMqCBN_4MKP7tuIq6pgbwVhFrkNY7TWcjFrQi903WXteb4Dg9-XRp0Q4IGuA7sndj1GiQLDN1nnHFircxpypnNYDCjS2TnnUpzRt1ca9gprcvuiGMDgpkaG48-FnR_U7wJLnjGef)
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50. [intellectia.ai](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF5ou0_iA-iE3ycrhbUAvqH56QUYty2hUIwh9sFeLqvOpDns1PCQtT0yX-97o1fVYr8zlx3c6aiQdQzQhJ7iJ1oax9ndzHlziAHJuUja3D3xvLjZXzoNzAQMJOr9ys58P9kw4hex-1jda7RUlpUtR2vw7sBH6tK)
51. [agenticwire.news](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGhVkhOpRlXVqKN8rnTB2HCL9BERzfSalS4ttk1D8DtM2ZCyLEk5WADe7u1b9uE2_LaIfysO9IsN5rJkFZo6tComduYgSxflQ7K6M6SwBP5y8EqLSTCg4bqp9LCJYCwELoHEiu6xqLHfX4GXBltM0RBKzbluK70yiNjiEBmd3e71t2b9bIqIRzRzgNE)
52. [axios.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEXBRqjn4cOVdjz8ZHJAKSaK1sSNxUQNPhCa-IEsBXfcAiTE_Ix3_t-DwK_fxjDqf_ksfp9Y9n2ySgWxwe4kyurdI5ynrrR1oLpB6HUekVdenJufo7T6dWF6ZKNAKrhf4_x-SRiT_IG_FQ5UASxLK442ytetr_PjfN8)
53. [techjacksolutions.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEgjbPbUjAe2EW6vIG5BM_9QV_GaLYB-ldcPY2zJotTLlVQ3nlO4l6M-JoWBvCqZrrpwp_Mp0ufjvP1JKf3jwmiUXyKTH3fDNvPoYfLta_VWSK3O4xaS08CUcyTxqADMeVoKBoROEcN0u9C_o97SKu0Ota9JSZyhScVlog7IsfG4m1CYyW9zwB8gG25CPHIUcPN8k_gsQoF_K6M)
54. [crowe.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGZ8PIMe_Q04ZEwJVxY3LD5bTA2ELzwFQIcya4J2qzEpYFzxzTHppIPWXgmAqtE6B-N_ykthCxX57avUBmSY-Eu2bYEQHlOkRD7NWFw-pHd5T6s1cYP2yfSFHTBfQfynMW4Qy7jkUrN48pJOMdFcK6ZH5wbCZwUGjsQPhU=)
55. [zenskar.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGzgo_evou_g6PoGdZ7GV3oeiAAG5tleB3FLQgDVdAgUFOl1D2IsupqLCA0he3cnXhuX16uMZXPADAlgBrpb7LgVCBmv3GShpLpQqqQgKWts3haNnBrHw7DKTCCACQeyKLm3yrvigSoLLgzTzG583iFFvV9hF__3TWI6jp5fe4=)
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57. [fondo.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHgpyhlINiPYeZU8DyxmxSFOD3zQdMuJVCljNJyvqP2ehz1j5cxlb8EsZbj3TIoyC5TAMmLdYoBlZgdyDvUJDecmc6iN_z-aUncxS2mLG1DRE9r_QfCnMpYSOBhBizWDxtgZ-l0bT5UsRZjwy0xo8k72nUGUM3eFveLMPLSWhHWlrC9XENNl04Dm0RvNCvmUbdxZIqBpZ8=)
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60. [chronograph.pe](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGU7Lr0pdVfn5d-dk8fS31o03DsfeMhVzNianWVBvlpntUNQkg3_U-dGkNSlHd4prq4cvbqWyLN4y8FDgI-zx_LAr5d_2ZXT5jtiqiJFfT6upnr78hfaLoh8RKYTbuO3zDxBe0PwQHSsqGzVr-4mWH1gxk4VzO7iOS1nTVL7gucJe4tEC2VSVUNZu2mn_HGHTWX6NuvMWksoK-7TDLMbg==)
61. [eweek.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEki7shSxdKsMHYlMXE6fjKrOyXgsqPBlaYJ81mzmuDlrYVWPjq2rMgafJYgG7KOO_Z-06vTtXkxnKQ3eUE6t6uCrLgJBOE3cPlouH5MxzQwuAhU9bSm5UyFJQdaxBg2zNJFcbOurW3srZF1SUDXjw=)
62. [semafor.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFVLVhc1kpQP7M3K5d6w-43Xk6ENS7mbV_Wlu1MU98vpPH8sAokDGn5Q1_Cya8bBi4R3mf_e4jDrNVHTxyO8mhNy8FX4sLfo6VxZA-w9HczwNXCTN7045dQ4Q97fYE5QR9TmCuDceGOyRsooicqFa3XEApwTTfoqgln9T9SwsxBq-8UJz2dC_9ZeTiLqDNMzl1AEoPEb1CfKPsOMYV2TEyV85MHsZ-X2lnBX7Q=)
63. [taxadepts.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFusx1S8n49s5jntOZVg-18YgIes6wRDlKHRrk-iMRNWSnwzBEGuJYYsBua2zffy4ECjv1r_t_Gq7rP2KZ-l26DW2M6O3k99KgaWiuY7A9Qj1S-pDZ-d_WxwOkob0BrCFp6d_nVBFa9-AtHoMEGaBKH)
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65. [investing.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHN46SVCGPkMfdY1a7gjExrlLveRC6m2vmYNxBMYym9XGo4vMNPTdE14IuywlDNBxa1mjWGhPzDz-l0aFETvMDHU-d-vLji43Xj88yc-2SpciD0O1XaNMLwGXiLYmTErx6gn90jeU5_8_PxRYa7hhLQykEVDiD8zbIfUJXV4gFqQfzEhFy667JzJTbeZ4pDIACFxKRaUTqsDiYnIupA7VTzb41bTXtiD9HhIHymPS_Hb6-2Zl6Z)
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67. [sgai.md](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFBVMCn6K6UxaQcTXjqXgQcclmkhR5u99V6JKs9hku7NVHYhd5UFUcF18FWNMuw9hntq8DkuIUJA_lX_c482nNz1TokxLE_fjnz1qvg4zdumPdCgnZrxHm3jN8cuBXsg4mmavEN)
68. [technode.global](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHqPs9EDKD0Tl_MnULF5zUSuMmKua2OKx01hoFKXr17_rHz8e8FEatpoPU1YXFS5_u7WZXxTQrWlWUVnENX82MARLQKEGejKMpyaLx91jozqxpRIxVC854cHJ2ldNTdlS9vUTfq23VcHwDhOoj9unQaHLETsQl_o7rd9qztQnmaBVs8Mn-6hy1ldId8RvLhjFVF22zX_gxYwTtV6ko70y9vGNiS)
69. [backscoop.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEY4LlK7UdJA3wXqIGT5YSPBku7oxD8CLDPAQFepjXOHijpKIVPfonKE_gbXXWt0qN42peIK8gaEEneBAUY0QPXT_cjMX1ob2B2afo_Lrqs6K6hWK0OAddOYeWoTsV973uj___mmLRalVe09Ii_CZXv_VoGslmvKILRSo25CdAR1trzih69pkPvcmH7a8XV)
70. [tearsheet.co](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEzSpU9OUSwD5O2bqrjyQtP4BeSwNeVsJXvm6W8CMPKs3jmofTOjnWQOxp1PVBtGUzK-vwd7YR2KaYgdHVzp8RRP5Mya1e_0x6sFhh989qYUbBmKLiSQAZrK0vo_6UDijAb4MZZzT7Hu42wz8GpzwuKD4sRcqPbTwmaQaz0MKW5DL167yfHkIydZS0A0VltFL5f2MLDDzvKYzUVVoNz8kgC)
71. [pulse2.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEb1ld7nDrBohCVz0tr6xh9aCCpugT35szpWDwdpHu8oYc251WsB34IC8b9sxbqrjZMDMEIMAsWO5S4fW2d4HUgFSee0UK0kE66RoZQTVW1oGYhnnGbukMnlLcOrkqGNGG0YAii6WLlQZHa153PJDmCX2yiROn5XAKQxJfzcoW9KE-q5gxcLviWrTvJo_f1Y0GyuwlGJRezlMlPwMNr5hk=)
72. [mlq.ai](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEpy3BLTzjVGbR02eZKiYC6nB-WfwflmZ4XiU8m_dJXAOoojKPUcWikLOMM8A9ZfW2cZlrdyllbJoPY64e7GQT3hZDYPJLIPb8dPk-mZoD6U5TIk4D31DHNgKAV-pZ7Rhm8YuBVUTAUw2g3vT8CzP5nNALDnBO2ZOX6glv1G2b86_7Jln7xqHJisbbdDD3dUJI=)
73. [thenextweb.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGk9LTLjTpRF_3_yEvvSt4qWmrIfKUmRntvOcshQApYcV6eAs9h54_kkL9KCS9n7uUWw3sT-33JFVu6PAK6SinxsLH3EutvXFXTt1YdBKv1eQ6wmJKSk37bQwtX1MjV0soSdY2Wt5-el1P8_AOA5ApHZmMyLQLys9aGEiIuULS6dsg=)
74. [businessinsider.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGw1uX3fspqA6lmXHFHOXt7UlR8cPF7fXEF6D-FYeLq1FPwISoA19iCnJpi-5ThE4bGiRmnA4RhHVV4f_M_t0QGKJHuM8BGU9FNfM26nqjZyEtfU8PKrV9Q91J_ErVVHtu6HT0WfvZHqd20zUi0ut8VpAvo8NqmLtYyE3WKSX8snxHQ1HvtxEFgWalAN4hQqUZnBbc=)
75. [youtube.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQES1olyUwHtD9Qal9WveSPh1g_3GXZI_R3wQe_ep8ZBcdKtzVYDlQY-e2HTHGTuFkRVbTPplr45WI9IRNIm3Zoga_firf-dEoAmy2NnZBJ09zq2PBMM_JYDewgc5akw6rHN)
76. [syntaxdata.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFyhiVGjEGN4n7vT7U5IzqgtIrbtOt-obLHYG8us3yy44h5pepNK_RLgIUmUTF2pN84XaMzsZD3MPZiC1aAMsXKmtc0jFdgsDU4ngkP0pqjMKNUzuzQ-CYMQvlkgIXW64TrOyV-s_mIphcyA84TiKehaGzLmYPSVPqzIuwV3JyV4W_UvxNXhk8K)
77. [valueaddvc.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFcIC7JXwlbaTn2VJuviZeMgGNXTVSl5wy6BFfdqPVbE2z6KAyq0Wu9BAUAicQDjx8K9KeaQ2F5yEgBum69iaWtfra6iBF4ccSklOXejBDCIuMu3oiW)
78. [medium.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHLQxwQElBDeVdmzQ1Omnc2m0q_poR_EjWSmzXZy-6V4UfZfKR2suILGiaNQwhS7acYUFvaMmQPEOoA2Gv9IPh1qb8E6gZ312gd4SyYTrl99jUIZthLXH4LYizZ9sfQS2EYYgGuluZ8yWNW8i88BfBd5PH0sjRoPUls)
79. [seekingalpha.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG2zKqV6VIqrNAs43NQXVTQlf-lue6XMwqzyHthbzg_ERQ70P7EnGHdXMvHmyvj0QXbIZVhmODXyP9AWLmp8WAVIpfGZui6Gt-60U5IIq-GPAC1YTmDlaM2kRTKW0QgXw2DDdd-Gj1nI6j5oKtQE5l1EYrlATmJ80iYx5ZgygJyxGo5eAIKyje8DzJldwre2cTP43Jbtr90d8wq5Fj-)
80. [substack.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEb4ONWXhgJGgC687dHbxsyV3Ei5BpUlwPpCwKZQy1slXca8AuTbpXl84XWTp2X4uWPqvziRCwR59UeqPeHzKBzfAzq5WG63mNNj9X34DAGnEtLkkZCXFIlExvdVGP1smKLyILxvG8s4DqGCnoXOyTbOySIr8QKL35jyfJt0tvItpEA6V2bPH8A2Q==)
81. [advisoranalyst.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFwMqS34wrTnCC5k11ZJOau1UGKoybpx-4DfK6LRGu7NNPXH9mFIi7tyFPZxepZHeduvYsxnvfIsNjwLjrjWw1zLFq66kKGJRDoZXvtI6EvE-iPTy0hhnP66ci0fHKK5KgebRgGdXrwDfThcVsYdxoBY0M-F6BoGVx-coscde6RnJl5Ub4hc1c=)