{
  "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
  "docSlug": "5df6bd1b0447b5f6",
  "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
  "authorId": "AirStreetCapital",
  "authorName": "Air Street Capital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 204,
  "pageCount": 313,
  "prevPage": 203,
  "nextPage": 205,
  "slideType": "problem_statement",
  "function": "frame_problem",
  "density": "dense",
  "nDataPoints": 5,
  "notes": "The chart compares federal AI funding against other government costs and private sector R&D spending.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "bullet_list",
    "bar_chart_vertical"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/204",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-204",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "The AI Action Plan mentions the need to fund “basic science” in AI, but “core” AI R&D is far below the $32B that experts have recommended the US invest by ’26.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-47c2-727e-a406-655a5a022b59",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.3,
        "x": 0.68,
        "y": 0.38
      },
      "kind": "chart",
      "text": "The State of AI Federal Funding",
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7788781a-aacf-4352-a2d4-9863b0ff6a35",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.65,
        "x": 0.02,
        "y": 0.38
      },
      "kind": "list",
      "text": "In '21, the Eric Schmidt-led National Security Commission on AI issued a report that called for annual federal funding for non-military AI R&D to reach $32B by '26. The Bipartisan Senate AI Working Group published an “AI Roadmap” (May '24) that echoed the same $32B price tag.\nIn '25, Trump’s proposed budget allotted $3.316B for non-defense AI R&D spending with $1.95B for “core” AI R&D. In general, total federal AI non-military R&D spending has hovered around $3B since '23.\nIt is unclear if foundational AI research will increase. The administration has freezed funds from universities and the NSF to ensure compliance with new priorities.\nThe US’s NAIRR, the shared national infrastructure for AI research and education, will move from a pilot program to a coordinated national program in the coming year, however. The $2.6B price tag associated with the project is split among different federal agencies and companies.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6999fcf7-2ee1-44cb-9902-305135d3ca71",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Federal AI R&D Funding: $3.3B",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-47c2-727e-a406-69fa84a021e5",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.65,
        "x": 0.02,
        "y": 0.22
      },
      "kind": "paragraph",
      "text": "The AI Action Plan mentions the need to fund “basic science” in AI, but “core” AI R&D is far below the $32B that experts have recommended the US invest by '26. This is foundational, non-commercial research - the type of research that is sometimes argued to be more transformative than that of the private sector.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c9b4b7c6-237d-418b-a614-fe3abf78de62",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.6,
        "x": 0.02,
        "y": 0.14
      },
      "kind": "title",
      "text": "Foundational AI Research is a government priority, but where's the money?",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "edec5bad-9481-4814-a0e1-68771f45c08d",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Audience Definition",
      "slug": "audience-definition",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "f536d93b-0ab9-4f57-b3c5-7eeb5c9229c6",
      "evidence": "The slide implies a specific audience, likely policymakers or stakeholders in AI research, by discussing government priorities and funding.",
      "confidence": 0.6
    },
    {
      "name": "Problem Statement Canvas",
      "slug": "problem-statement-canvas",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "c58e222d-dd35-47ee-b6ed-1f27bef4dafb",
      "evidence": "The slide presents a clear problem statement about the lack of funding for foundational AI research despite being a government priority.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 282,
      "from": 190,
      "beatId": "019dd95a-0682-776c-8e35-a256fe16ea9c",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Sections 3-4 frame political and safety consequences of the technical/industry trends.",
      "position": 2,
      "confidence": 70,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    },
    {
      "to": 282,
      "from": 190,
      "beatId": "019dd95a-0682-776c-8e35-b713af60bf88",
      "arcName": "The Onion",
      "arcSlug": "onion",
      "beatName": "Core Insight",
      "beatSlug": "onion-core-insight",
      "evidence": "Politics and Safety reveal the structural risks at the core.",
      "position": 4,
      "confidence": 45,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 218,
      "from": 191,
      "name": "Zoom In",
      "slug": "06-zoom-in",
      "bestFor": "Technical deep-dives, case studies, detailed analysis",
      "matchId": "019dd95a-07fe-70ce-8d3e-b6147e7c2c76",
      "evidence": "Trump 47 → Action Plan → chip-export zigzags → state laws → FTC actions → antitrust outcomes.",
      "position": 11,
      "objective": "Drill into US AI policy from Action Plan to enforcement",
      "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
      "confidence": 70,
      "description": "Start broad, then progressively focus on specific details that prove your point"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}