[
  {
    "id": "src-ai-credit-stanford-ai-index-2025",
    "title": "The 2025 AI Index Report",
    "publicationDate": "2025-04-07",
    "sourceType": "Independent research report",
    "originalUrl": "https://hai.stanford.edu/ai-index/2025-ai-index-report",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Original Stanford AI Index synthesis. Benchmark-specific convergence does not prove parity across all economically important workloads.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Reports that the inference cost of GPT-3.5-level performance fell more than 280-fold from November 2022 to October 2024, hardware costs declined about 30% annually, hardware energy efficiency improved about 40% annually, and the open-versus-closed performance gap narrowed materially on some benchmarks.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "AI efficiency and open-weight model competition",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-epoch-open-closed-gap-2026",
    "title": "Open models lag state-of-the-art closed models by 4 months",
    "publicationDate": "2026-05-29",
    "sourceType": "Independent model-capability analysis",
    "originalUrl": "https://epoch.ai/data-insights/open-closed-eci-gap",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "The authors disclose sensitivity to benchmark coverage and methodology. A stricter interpretation can produce a longer lag, and public benchmarks may not capture private or deployment-specific advantages.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Estimates that since January 2026 the leading open-weight models lagged the leading closed models by an average of four months and eight points on the Epoch Capabilities Index.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Open-versus-closed capability gap",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-reuters-openai-valuation-2026-04-01",
    "title": "Artificial Intelligencer: OpenAI's $852 billion problem: finding focus",
    "publicationDate": "2026-04-01",
    "sourceType": "News analysis",
    "originalUrl": "https://www.reuters.com/technology/artificial-intelligence/artificial-intelligencer-openais-852-billion-problem-finding-focus-2026-04-01/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Private-market valuation and financing figures are reported by Reuters; they are not audited credit metrics and should not be treated as a rating.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Reports that OpenAI raised $122 billion at an $852 billion valuation.",
    "verificationStatus": "partially-verified",
    "quality": "high",
    "primary": false,
    "project": "AI infrastructure and power financing",
    "topic": "Frontier-lab funding and private valuation",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-reuters-anthropic-valuation-2026-05-28",
    "title": "Anthropic's valuation surges to $965 billion, surpassing OpenAI",
    "publicationDate": "2026-05-28",
    "sourceType": "News report",
    "originalUrl": "https://www.reuters.com/business/anthropic-raises-65-billion-now-valued-965-billion-2026-05-28/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Private-market valuation and financing figures are reported by Reuters; they are not audited credit metrics and should not be treated as a rating.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Reports that Anthropic raised $65 billion at a $965 billion post-money valuation.",
    "verificationStatus": "partially-verified",
    "quality": "high",
    "primary": false,
    "project": "AI infrastructure and power financing",
    "topic": "Frontier-lab funding and private valuation",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-reuters-systemic-finance-2026-03-11",
    "title": "What happens if OpenAI or Anthropic fail?",
    "publicationDate": "2026-03-11",
    "sourceType": "Financial commentary",
    "originalUrl": "https://www.reuters.com/commentary/breakingviews/what-happens-if-openai-or-anthropic-fail-2026-03-11/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Commentary and third-party forecast. Used to frame financing scale, not as a verified base-case forecast.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Cites a Morgan Stanley forecast of $2.9 trillion of global data-center investment from 2025 through 2028, including roughly $900 billion from private credit and asset-backed lending.",
    "verificationStatus": "partially-verified",
    "quality": "medium",
    "primary": false,
    "project": "AI infrastructure and power financing",
    "topic": "AI infrastructure finance and systemic exposure",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-reuters-anthropic-compute-deals-2026-09-02",
    "title": "Anthropic was cautious on mega infra deals. Then demand surged",
    "publicationDate": "2026-09-02",
    "sourceType": "News analysis",
    "originalUrl": "https://www.reuters.com/technology/artificial-intelligence/anthropic-was-cautious-mega-infra-deals-then-demand-surged-2026-09-02/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Figures are reported by Reuters and illustrate scale and concentration. Underlying contracts were not all publicly available for independent review.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Reports a $30 billion Azure commitment, an approximately $45 billion Nscale infrastructure agreement, and a $1.25 billion monthly SpaceX compute agreement for Anthropic; it also reports that OpenAI represents about 8.753 GW of an 8.8 GW contracted SB Energy portfolio.",
    "verificationStatus": "partially-verified",
    "quality": "high",
    "primary": false,
    "project": "AI infrastructure and power financing",
    "topic": "Frontier-lab compute commitments and concentration",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-sp-ai-infrastructure-2026-08-27",
    "title": "AI Infrastructure Investment To Exceed $1.3 Trillion By 2027",
    "publicationDate": "2026-08-27",
    "sourceType": "Credit research press release",
    "originalUrl": "https://press.spglobal.com/2026-08-27-AI-Infrastructure-Investment-To-Exceed-1-3-Trillion-By-2027,-S-P-Global-Ratings-Says",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Original rating-agency summary. Forecasts are S&P views, not realized outcomes.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Projects combined capital expenditure by six large hyperscalers to exceed $1.3 trillion by 2027, expects negative free operating cash flow across the group in 2026 and 2027, and highlights debt, leases, guarantees, SPVs, joint ventures and residual-value guarantees as increasingly important.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Hyperscaler capital expenditure and credit structures",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-moodys-global-data-centers-2026",
    "title": "Credit Risk Insights for Global Data Centers",
    "publicationDate": "2026-09-02",
    "sourceType": "Credit risk topic hub",
    "originalUrl": "https://www.moodys.com/web/en/us/insights/credit-risk/data-centers.html",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Continuously updated Moody's topic hub; publication date records the access and verification date for this draft.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "States that data-center developers and landlords require substantial equity, bank debt, bonds, securitization and project-finance capital, and explains that data-center ABS repayment is primarily sourced from tenant lease payments.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Data-center financing and structured credit",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-moodys-digital-economy-outlook-2026",
    "title": "How will the 2026 digital economy be impacted by changes in artificial intelligence, digital finance, cyber risk, and data centers?",
    "publicationDate": "2026-01-15",
    "sourceType": "Credit outlook summary",
    "originalUrl": "https://www.moodys.com/web/en/us/creditview/blog/digital-economy-2026.html",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Original Moody's outlook summary. Forward-looking statements are analytical views, not guaranteed outcomes.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Highlights narrowing model-performance gaps, questions about proprietary AI monetization, concentrated preleasing, power and construction constraints, and dependence by startup AI firms on large-technology-company credit support.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "AI competition and data-center financing",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-hut8-river-bend-notes-2026-04-30",
    "title": "Hut 8 Closes $3.25 Billion of Investment-Grade Senior Secured Notes in Landmark Financing for River Bend Data Center Project",
    "publicationDate": "2026-04-30",
    "sourceType": "Company press release",
    "originalUrl": "https://www.hut8.com/news-insights/press-releases/hut-8-closes-usd3-25-billion-of-investment-grade-senior-secured-notes-in-landmark-financing",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Company-furnished source. Coupon, size, capacity and stated structure were cross-checked against S&P's transaction summary.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Discloses $3.25 billion of 6.192% senior secured notes due 2042, BBB- ratings, 245 MW of critical IT capacity, a fully amortizing 16.5-year tenor and project-level financing without recourse to Hut 8.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Project financing terms",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-sp-hut8-river-bend-rating-2026-04-22",
    "title": "Hut 8 DC LLC Senior Secured Notes Assigned 'BBB-'",
    "publicationDate": "2026-04-22",
    "sourceType": "Credit rating rationale",
    "originalUrl": "https://www.spglobal.com/ratings/en/regulatory/article/-/view/type/HTML/id/3550047",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Original S&P rating rationale. Ratings are opinions of credit risk, not investment recommendations or guarantees.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Describes the River Bend project, the Fluidstack lease, Google's guarantee of tenant payment obligations, and construction protections supporting the investment-grade notes.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Tenant backstop and project-finance credit",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-fleet-rno-notes-2026-05-01",
    "title": "Fleet Data Centers Announces Closing of Upsized $4.6 Billion 6.500% Senior Secured Notes Offering",
    "publicationDate": "2026-05-01",
    "sourceType": "Company press release",
    "originalUrl": "https://fleetdatacenters.com/news/fleet-data-centers-announces-closing-of-upsized-4-6-billion-6-500-senior-secured-notes-offering-to-fund-hyperscale-facility-in-rapidly-growing-reno-hub/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Company-furnished source. This draft does not infer an issue rating where the source does not provide one.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Discloses $4.6 billion of 6.500% senior secured notes due 2031 to finance a 230 MW utility / 200 MW critical IT facility that is 100% leased for 197 months to an AA- investment-grade tenant.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Project financing terms and tenant quality",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-wulf-fluidstack-google-8k-2025-08-14",
    "title": "TeraWulf Form 8-K - Fluidstack Leases and Google Recognition Agreements",
    "publicationDate": "2025-08-14",
    "sourceType": "SEC filing",
    "originalUrl": "https://www.sec.gov/Archives/edgar/data/1083301/000110465925078084/tm2523008d2_8k.htm",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Primary legal filing. The wording 'certain obligations' and the effective-date conditions matter; it should not be summarized as an unlimited unconditional guarantee.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Discloses leases for more than 200 MW of critical IT load, ten-year rent terms, and recognition agreements under which Google agreed to backstop certain Fluidstack obligations, effective at the relevant lease commencement.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Lease backstop scope and conditions",
    "jurisdiction": "United States",
    "filingDate": "2025-08-14"
  },
  {
    "id": "src-ai-credit-wulf-compute-notes-2025-11-10",
    "title": "TeraWulf Q3 2025 Investor Update",
    "publicationDate": "2025-11-10",
    "sourceType": "SEC-filed company presentation",
    "originalUrl": "https://www.sec.gov/Archives/edgar/data/1083301/000108330125000096/wulfq32025investorupdate.htm",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "SEC-filed presentation. Company labels and forward-looking construction statements remain company representations.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Discloses a $3.2 billion offering of 7.750% senior secured notes due 2030, ratings of Ba2/BB/BB, and a stated use of proceeds to finance 522.5 MW of AI / high-powered-compute data centers.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Project financing terms",
    "jurisdiction": "United States",
    "filingDate": "2025-11-10"
  },
  {
    "id": "src-ai-credit-galaxy-helios-notes-8k-2026-07-28",
    "title": "Galaxy Digital Form 8-K - Helios II Senior Secured Notes",
    "publicationDate": "2026-07-28",
    "sourceType": "SEC filing",
    "originalUrl": "https://www.sec.gov/Archives/edgar/data/1859392/000185939226000079/glxy-20260728.htm",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Primary legal filing. Capacity, tenant quality and rating rationale are cross-referenced to S&P's transaction analysis.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Discloses $3.507 billion of 9.875% senior secured notes due 2031 issued by Galaxy Helios Data Centers II, with semiannual interest and scheduled amortization.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Project financing terms",
    "jurisdiction": "United States",
    "filingDate": "2026-07-28"
  },
  {
    "id": "src-ai-credit-sp-galaxy-helios-rating-2026-07-23",
    "title": "Galaxy Helios Assigned 'B+' Issuer Credit Rating; Outlook Stable; Debt Rated 'BB-'",
    "publicationDate": "2026-07-23",
    "sourceType": "Credit rating rationale",
    "originalUrl": "https://www.spglobal.com/ratings/en/regulatory/article/-/view/type/HTML/id/3599840",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Original S&P rating rationale. Ratings are opinions of credit risk, not investment recommendations or guarantees.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Describes $3.5 billion of notes funding two facilities with 400 MW of utility capacity and 260 MW of critical IT load, a 15-year CoreWeave lease, B+/BB- ratings, predictable lease cash flow, speculative-grade tenant concentration, high leverage and construction protections.",
    "verificationStatus": "verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Tenant concentration, leverage and construction credit",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-ferc-large-load-orders-2026-06-18",
    "title": "FERC Launches Aggressive Targeted Action to Speed Large Load Integration",
    "publicationDate": "2026-06-18",
    "sourceType": "Government order summary",
    "originalUrl": "https://www.ferc.gov/news-events/news/ferc-launches-aggressive-targeted-action-speed-large-load-integration",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Official government source. Proceedings were ongoing as of this draft and did not establish one uniform national final rule.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "States that FERC ordered six regional grid operators to justify or reform large-load tariffs, including transmission studies, cost-shift protections, co-location, flexible-load service and proximate generation processes.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Large-load interconnection and cost allocation",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-ferc-chang-concurrence-2026-06-18",
    "title": "Commissioner Chang's Concurrence in California Independent System Operator Corporation - Docket No. EL26-71-000",
    "publicationDate": "2026-06-18",
    "sourceType": "Government commissioner statement",
    "originalUrl": "https://www.ferc.gov/news-events/news/e-10-commissioner-changs-concurrence-california-independent-system-operator",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Official commissioner statement, not a final commission-wide rule. Used to identify the credit and cost-allocation questions facing power development.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Explains concerns that rapid large-load growth strains planning and resource procurement and supports cost-recovery agreements intended to make customers serving large loads bear the costs they induce.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Ratepayer protection and large-load cost recovery",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-eia-electricity-demand-2026-01-13",
    "title": "EIA forecasts strongest four-year growth in U.S. electricity demand since 2000, fueled by data centers",
    "publicationDate": "2026-01-13",
    "sourceType": "Government forecast",
    "originalUrl": "https://www.eia.gov/pressroom/releases/press582.php",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Official short-term forecast. Forecasts can change with economic activity, project delays, weather, efficiency, pricing and supply constraints.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Forecasts U.S. electricity use growth of 1% in 2026 and 3% in 2027 and attributes the strongest four-year demand-growth period since 2000 primarily to increasing demand from large computing centers.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Electricity demand growth",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-reuters-oracle-ratings-2026-08-04",
    "title": "Oracle Corp goes for high-stakes ratings gamble in AI strategy",
    "publicationDate": "2026-08-04",
    "sourceType": "Credit-market news analysis",
    "originalUrl": "https://www.reuters.com/business/oracle-corp-goes-high-stakes-ratings-gamble-ai-strategy-2026-08-04/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Reuters analysis based on company disclosures and credit-market commentary. Used as an example of how infrastructure commitments can affect corporate credit.",
    "relevantPages": "Relevant sections described in finding and notes.",
    "finding": "Reports negative free cash flow, heavy capital spending and roughly $260 billion of signed data-center leases at Oracle, alongside heightened rating-agency scrutiny.",
    "verificationStatus": "partially-verified",
    "quality": "high",
    "primary": false,
    "project": "AI infrastructure and power financing",
    "topic": "AI infrastructure commitments and corporate credit",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-nvidia-q2-fy2027-10q",
    "title": "NVIDIA Form 10-Q for the quarter ended July 26, 2026",
    "publicationDate": "2026-08-26",
    "sourceType": "SEC filing",
    "originalUrl": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000075/nvda-20260726.htm",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Primary legal filing. The guarantees are capped, conditional and limited to defined portions of lease and power payments; maximum exposure is not expected cash payment or full project cost.",
    "relevantPages": "Note 10 guarantees; MD&A discussion of AI-cloud financing capacity, land/power/shell support and third-party financing initiatives.",
    "finding": "Discloses guarantees capped at $105 billion supporting approximately 4.25 GW of OpenAI-related leases at SB Energy's PORTS campus, with nine-phase commencement, 20-year terms, declining exposure and specified termination conditions.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Strategic credit substitution and guarantees",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-mozilla-open-source-ai-2026",
    "title": "The State of Open Source AI — v1.0.1",
    "publicationDate": "2026-07-14",
    "sourceType": "Original industry report and developer survey",
    "originalUrl": "https://stateofopensource.ai/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Platform- and survey-specific evidence from an organization that advocates for open ecosystems. Token and revenue observations cover different periods, and OpenRouter is not the global market.",
    "relevantPages": "Current-state token-share discussion, monetization section and methodology/source notes.",
    "finding": "Reports open-weight models at 72.4% of top-20 OpenRouter token volume during July 1–27, 2026 and cites a May–September 2025 OpenRouter sample in which closed models generated approximately 96% of revenue.",
    "verificationStatus": "partially-verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Open-weight usage and model monetization",
    "jurisdiction": "Global"
  },
  {
    "id": "src-ai-credit-menlo-enterprise-ai-2025",
    "title": "2025: The State of Generative AI in the Enterprise",
    "publicationDate": "2025-12-09",
    "sourceType": "Enterprise survey and market-sizing report",
    "originalUrl": "https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise/",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Original study, not an audited market census. Results are limited to U.S. enterprises, use modeled dollar estimates and represent the authors' assessment as of December 2025. Menlo is an AI investor.",
    "relevantPages": "LLM market-share, open-source adoption, data sources, methodology and limitations sections.",
    "finding": "Estimates Anthropic, OpenAI and Google at 88% of U.S. enterprise LLM API share and open-source models at 11%, based on a survey of 495 U.S. enterprise decision-makers and a weighted market model.",
    "verificationStatus": "partially-verified",
    "quality": "high",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Enterprise proprietary-model monetization",
    "jurisdiction": "United States"
  },
  {
    "id": "src-ai-credit-iren-fy2026-10k",
    "title": "IREN Form 10-K for the year ended June 30, 2026",
    "publicationDate": "2026-08-27",
    "sourceType": "SEC filing",
    "originalUrl": "https://www.sec.gov/Archives/edgar/data/1878848/000187884826000052/iren-20260630.htm",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Primary legal filing. The Microsoft-related and Mackenzie facilities differ materially in tenor, collateral, prepayments, amortization, draw mechanics and parent exposure.",
    "relevantPages": "AI Cloud Services contracts, GPU financing notes and August 2026 subsequent-event financing disclosures.",
    "finding": "Discloses a $1.545 billion DDTL at SOFR plus 2.25% and $2.1 billion of 5.96% notes linked to Microsoft, plus $2.4 billion of 30-month Mackenzie equipment financing at 9.0%.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "GPU financing and counterparty credit",
    "jurisdiction": "United States and Canada"
  },
  {
    "id": "src-ai-credit-iren-fy2026-results",
    "title": "IREN FY26 and Q4 FY26 Results",
    "publicationDate": "2026-08-27",
    "sourceType": "SEC-filed company results presentation",
    "originalUrl": "https://www.sec.gov/Archives/edgar/data/1878848/000187884826000051/irenreportsfy26results.htm",
    "relatedResearch": [
      "frontier-model-credit-and-ai-power-financing"
    ],
    "relatedModels": [
      "iren-five-year-dcf-buildout-model",
      "nuai-tcdc-site-economics-model"
    ],
    "notes": "Company-furnished presentation. Investment-grade and non-investment-grade classifications, blended financing cost and capex coverage are management descriptions.",
    "relevantPages": "Capital-efficient GPU financing summary and FY2026 results overview.",
    "finding": "Classifies approximately $3.6 billion of Microsoft-related financing at 6.0% as investment grade and groups $2.8 billion of financings with non-investment-grade customer deployments, including $2.4 billion at 9.0% for Mackenzie.",
    "verificationStatus": "verified",
    "quality": "primary",
    "primary": true,
    "project": "AI infrastructure and power financing",
    "topic": "Financing-cost bifurcation",
    "jurisdiction": "United States and Canada"
  }
]