{
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    "id": "ai-across-the-company",
    "title": "What does AI do across the whole company?",
    "summary": "Organization-wide statements about AI that are not about one function.",
    "group": "Running AI in an organization",
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      "text": "Our associates are generating more than 400,000 prompts a day, and as of last week, we had over 300 AI use cases approved, all of which have good economics, of which 114 are live generative AI use cases.",
      "speaker": "Brian Moynihan",
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      "id": "stripe-anyone-could-build-deploy-workflow-specific-agents-2026",
      "text": "Anyone could build and deploy workflow-specific agents that could use tools. Over 4,000 agents were built using this system.",
      "speaker": "Sharadh Krishnamurthy",
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      "id": "salesforce-7-0-billion-agentic-work-units-awus-2026",
      "text": "7.0 billion Agentic Work Units (“AWUs”) delivered to date across Agentforce and Slack, with 3.2 billion in Q2",
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          "period": "cumulative to date, as of Q2 FY2027",
          "definition": "Agentic Work Unit: \"a measure of discrete tasks executed by AI agents in production across the Salesforce platform, including Agentforce and Slack\"; examples given: \"resolving customer cases, updating records or triggering automated workflows\"",
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        },
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          "period": "Q2 FY2027 (three months ended 2026-07-31)",
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        }
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      "id": "shopify-now-number-distilled-models-where-take-teacher-2026",
      "text": "we now have a number of distilled models where we take a teacher model, usually a big frontier model, then teach a specific use case to a smaller model",
      "speaker": "Harley Finkelstein",
      "role": "President",
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      "id": "jpmorgan-chase-had-discrete-areas-where-did-reduce-jobs-2026",
      "text": "We have had discrete areas where we did reduce jobs by 30% or 40%, and most of those people offered jobs elsewhere.",
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    {
      "id": "shopify-so-its-really-not-even-question-where-2026",
      "text": "So it's really not even a question of where are we using AI, but where aren't we using AI? Because it's been an extensive usage in pretty much all departments within the company.",
      "speaker": "Jeff Hoffmeister",
      "role": "Chief Financial Officer",
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    },
    {
      "id": "amazon-normally-would-taken-40-50-people-about-2026",
      "text": "normally that would have taken 40 or 50 people about a year to do. And we took five really smart people, AI forward thinking people building on agentic coding tools. And those five people rebuilt it in 65 days.",
      "speaker": null,
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      "organization": "Amazon",
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        "date": "2026-04",
        "publisher": "earnings call transcript via Platform Aeronaut (third-party transcript site)",
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    },
    {
      "id": "klarna-engineers-use-ai-assisted-case-log-classification-2026",
      "text": "our engineers use an AI-assisted case log classification tool that organizes documents and categorizes over one million monthly chat conversations.",
      "speaker": null,
      "role": null,
      "organization": "Klarna",
      "aiVendor": false,
      "work": {
        "title": "SEC filing (the company's own regulatory report)",
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      "url": "https://the-ai-record.com/passages/klarna-engineers-use-ai-assisted-case-log-classification-2026"
    },
    {
      "id": "klarna-operate-internal-knowledge-chatbot-which-call-kiki-2025",
      "text": "we operate an internal knowledge chatbot, which we call Kiki, that helps employees find information in real time across internal systems.",
      "speaker": null,
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      "organization": "Klarna",
      "aiVendor": false,
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    {
      "id": "anthropic-anthropic-uses-claude-write-software-far-more-2026",
      "text": "Anthropic uses Claude to write software far more than almost any other company",
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      "organization": "Anthropic",
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      "work": {
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    {
      "id": "anthropic-very-often-found-role-engineers-tell-claude-2026",
      "text": "Very often, we found that the role of the engineers was to tell Claude “no.”",
      "speaker": null,
      "role": null,
      "organization": "Anthropic",
      "aiVendor": true,
      "work": {
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    {
      "id": "ramp-one-week-may-burned-1-5-million-2026",
      "text": "One week in May, we burned $1.5 million in tokens.",
      "speaker": "Eric Glyman",
      "role": "Co-founder and co-CEO",
      "organization": "Ramp",
      "aiVendor": false,
      "work": {
        "title": "Ramp company blog (signed by CEO Eric Glyman)",
        "type": "post",
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        "publisher": "Ramp company blog (signed by CEO Eric Glyman)",
        "url": "https://ramp.com/blog/introducing-glass"
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      "url": "https://the-ai-record.com/passages/ramp-one-week-may-burned-1-5-million-2026"
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    {
      "id": "atlassian-ai-native-development-processes-atlassian-cut-issue-2026",
      "text": "AI-native development processes at Atlassian have cut issue cycle time by nearly half, from 11.5 days to 6.7 days.",
      "speaker": null,
      "role": null,
      "organization": "Atlassian",
      "aiVendor": false,
      "work": {
        "title": "Atlassian (own site)",
        "type": "post",
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        "publisher": "Atlassian (own site)",
        "url": "https://www.atlassian.com/blog/ai-at-work/ai-sdlc-transformation-playbook"
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      "grade": "B",
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    {
      "id": "uber-mcp-gateway-unlocked-scalable-fast-consistent-path-2026",
      "text": "MCP Gateway unlocked a scalable, fast, and consistent path to building AI agents within Uber and is currently hosting over 800 MCP servers and over 5000 tools.",
      "speaker": "Alok Srivastava",
      "role": "Principal Engineer, Business Platform",
      "organization": "Uber",
      "aiVendor": false,
      "work": {
        "title": "Uber engineering blog",
        "type": "post",
        "date": "2026-10-01",
        "publisher": "Uber engineering blog",
        "url": "https://www.uber.com/us/en/blog/designing-mcp-gateway/"
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      "grade": "B",
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    },
    {
      "id": "stripe-since-may-2026-3-000-stripes-created-2026",
      "text": "Since May 2026, 3,000+ Stripes have created 12,000 prototypes, and 25% of Stripes have created at least one prototype in Harbor.",
      "speaker": "Cristian Rivera",
      "role": "Staff engineer, Web Presence and Platform team",
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      "work": {
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        "type": "post",
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        "publisher": "Stripe developer blog",
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    },
    {
      "id": "uber-single-entry-point-encompasses-more-than-1-2026",
      "text": "This single entry point encompasses more than 1,000 MCP servers across internal and third-party SaaS MCP",
      "speaker": "Uday Kiran Medisetty",
      "role": "Distinguished Engineer",
      "organization": "Uber",
      "aiVendor": false,
      "work": {
        "title": "Running a Software Factory Efficiently at Uber Scale",
        "type": "post",
        "date": "2026-08-27",
        "publisher": "Uber engineering blog",
        "url": "https://www.uber.com/us/en/blog/efficient-software-factory/"
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      "grade": "B",
      "verification": {
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      "url": "https://the-ai-record.com/passages/uber-single-entry-point-encompasses-more-than-1-2026"
    },
    {
      "id": "monzo-nearly-all-engineers-now-using-least-one-2026",
      "text": "nearly all of our engineers now using at least one coding agent regularly",
      "speaker": null,
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      "organization": "Monzo",
      "aiVendor": false,
      "work": {
        "title": "Building Agent Chip: Monzo's in-house agentic tool",
        "type": "post",
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        "publisher": "Monzo blog",
        "url": "https://monzo.com/blog/building-agent-chip"
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      "url": "https://the-ai-record.com/passages/monzo-nearly-all-engineers-now-using-least-one-2026"
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    {
      "id": "monzo-routinely-running-more-than-1800-tasks-every-2026",
      "text": "routinely running more than 1800 tasks every day",
      "speaker": null,
      "role": null,
      "organization": "Monzo",
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      "work": {
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          "definition": "engineering: Agent Chip tasks run per day",
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    {
      "id": "stripe-across-stripe-more-than-5-000-sessions-2026",
      "text": "And across Stripe, more than 5,000 sessions everyday center on data analysis.",
      "speaker": "Sharadh Krishnamurthy",
      "role": "Engineering manager, Agent Foundation team",
      "organization": "Stripe",
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      "id": "coinbase-91-employees-were-never-hitting-their-usage-2026",
      "text": "91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults.",
      "speaker": "Brian Armstrong",
      "role": "CEO",
      "organization": "Coinbase",
      "aiVendor": false,
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        "title": "X post by unnamed account",
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        "date": "2026-06-27",
        "publisher": "X post by Brian Armstrong, CEO",
        "url": "https://api.fxtwitter.com/brian_armstrong/status/2070670644577280109"
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    },
    {
      "id": "airbnb-97-active-engineers-inside-airbnb-using-agentic-2026",
      "text": "97% of active engineers inside of Airbnb are using Agentic AI on a weekly basis so far, 90% daily.",
      "speaker": "Christopher Sanson",
      "role": "Product Lead, AI Developer Experience",
      "organization": "Airbnb",
      "aiVendor": false,
      "work": {
        "title": "DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference",
        "type": "social",
        "date": "2026-06-22",
        "publisher": "DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference",
        "url": "https://getdx.com/podcast/beyond-the-cli-agentic-ai-for-async-workloads-and-non-developers/"
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    },
    {
      "id": "block-today-100-blocks-engineers-regularly-use-ai-2026",
      "text": "Today, 100% of Block's engineers regularly use AI in their work.",
      "speaker": null,
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      "organization": "Block",
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      "id": "stripe-built-central-internal-mcp-server-called-toolshed-2026",
      "text": "we built a central internal MCP server called Toolshed, which hosts more than 400 MCP tools",
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      "text": "Inside of Shopify, the amount of people I know who really write code is vanishingly small now.",
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      "id": "zapier-pre-week-had-roughly-10-employee-base-2026",
      "text": "pre that week we had roughly 10% of the employee base was using AI with some frequency. After that week it was over 50%.",
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      "id": "figma-adoption-uneven-teams-ai-forward-others-lost-confidence-2026",
      "text": "the adoption is uneven. We have teams that are very AI-forward and have already transformed their entire workflows and then we have teams that are still experimenting in the earlier acts or have lost confidence",
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      "id": "figma-docs-slack-emails-three-four-times-as-long-say-same-2026",
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      "id": "figma-pr-description-starts-with-hand-written-ai-description-after-2026",
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      "id": "block-significantly-smaller-team-using-tools-were-building-2026",
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      "id": "stripe-humans-helped-prioritize-38-ideas-then-agents-2026",
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      "id": "bank-of-america-94-client-interactions-now-digital-2026",
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      "text": "the vanilla setup required roughly 20 days of engineering effort, compared to 4 days when using the reusable prompts.",
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      "text": "So as of now, we have about double the amount of users of agentic AI tools as we do active developers",
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      "id": "linear-agent-runs-cleanup-skill-one-shots-nearly-2026",
      "text": "The agent runs our cleanup skill and one-shots it nearly every time, because the task is well scoped and always the same shape. I just review and merge.",
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      "id": "dropbox-dropbox-saw-ai-usage-among-engineering-teams-2026",
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      "url": "https://the-ai-record.com/passages/dropbox-dropbox-saw-ai-usage-among-engineering-teams-2026"
    },
    {
      "id": "bank-of-america-virtual-assistant-having-reduced-calls-into-service-2025",
      "text": "with the virtual assistant having reduced calls into the IT service desk by 50%",
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    },
    {
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      "text": "For a long time, we had a 'capability overhang': the models were capable but the products didn't fully bring that out. Now, we're seeing an awareness gap. Some people have figured out they can use Codex to monitor Slack, update Airtable, or create onboarding materials. But many others still use it for one task and then discover more uses from teammates via word-of-mouth.",
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      "context": null,
      "url": "https://the-ai-record.com/passages/openai-long-time-we-had-capability-overhang-models-2026"
    },
    {
      "id": "notion-basically-just-means-can-you-create-sort-2026",
      "text": "basically it just means can you create sort of like a, as automated as possible, a workflow for developing debugging. Mm-hmm. Merging, reviewing, and maintaining a code base",
      "speaker": "Simon Last",
      "role": "Co-founder and head of AI",
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      "work": {
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        "publisher": "Latent Space (independent AI engineering podcast)",
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    }
  ],
  "notice": [
    "Every passage is reproduced word for word from the cited source.",
    "Check the verification status: \"reported\" means not yet confirmed by an independent second reader.",
    "Organizations flagged aiVendor sell AI tooling and have a reason to publish flattering numbers.",
    "An empty result means the archive holds nothing on it, not that nobody has said anything."
  ]
}