YPO Technology Network AI Brief
Season 1
by Stephen Forte
On Tuesday, Kumar Mangalam Birla, chairman of the Aditya Birla Group, said his group will go more gradually on AI than it planned a year ago, and will not spend out of fear of missing out. Stephen agrees that slow is an option, but argues the real word is deliberate, and that the most overlooked benefit of AI has little to do with AI. In this episode, Stephen Forte covers: What Birla said. A shift from an AI arms race to a hard look at returns, "no one cap fits all," and the best description of executive AI anxiety of the year: a monster sitting in the last row. What he did not say. He did not call AI overhyped or say his group is stopping. On the same stage, Infosys said AI services are already about 8 percent of its revenue. Slow is fine. Deliberate is better. Nail down the approach and what success looks like before you spend. Throwing AI at the same old process is a jet engine on a shopping cart. The Bill of Work callback. AI bolted onto a process nobody has questioned since the fax machine gives you a faster fax machine. Show the P&L along the way. Go at a pace that makes sense and show real profit and loss impact every quarter, instead of boiling the ocean. The overlooked benefit. Explaining a process to an AI forces you to re-examine it. Many fixes are not AI at all: automated routines, or a vendor upgrade that slipped in years ago and nobody noticed. This quarter. Pick one process everyone complains about, write down every step, cross out what nobody can justify, fix what you can with what you own, and only then bring in AI with a number and a date. Sources: The Economic Times (PTI), 13 October 2026: https://economictimes.indiatimes.com/ai/ai-insights/kumar-mangalam-birla-advocates-for-roi-focused-approach-to-ai-investments-amidst-growing-technological-landscape/articleshow/134919103.cms The Indian Express, 13 October 2026: https://indianexpress.com/article/business/infosys-tech-ceos-ai-demand-growth-energy-bottleneck-bloomberg-forum-10920080/ The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
On Monday, HCLTech, India's third-largest IT services firm, announced a business unit dedicated entirely to Anthropic, adding to its Gemini business unit and its OpenAI partnership. Stephen thinks organizing around the AI lab is the wrong way to slice it: the model will matter less and less, and the plumbing around it will matter more. In this episode, Stephen Forte covers: What HCLTech announced. A Global Premier Partnership with Anthropic, a dedicated Anthropic Business Unit, forward-deployed engineers, and Claude inside its AI Force platform. Accenture formed an Anthropic business group last December. Fair to HCLTech. Customers ask for lab-specific help, the labs fund it, the release talks about guardrails and human oversight, and HCLTech's advanced AI revenue rose 78 percent on a year ago. The model is not the moat. A different lab leads every few months. Building your company around one lab's model is building your house around this year's refrigerator. Agnostic plumbing in practice. Keep the credentials your agents need in an external secrets store such as Infisical or 1Password, then bring your Python files and local programs. Stephen's company moved from Claude to Grok Bot this way in about twenty minutes. The Microsoft exception. For Microsoft shops, deep platform expertise makes sense, because AI that runs inside your own tenant matters most in regulated industries such as health care under HIPAA and financial services. Price, briefly. HCLTech's CEO says IT services are in the early phases of deflation. Agnostic plumbing lets you shop for it every quarter. The test. Ask how long it would take to switch your AI to a different lab next Monday. A day means plumbing. A project plan means a landlord. Sources: HCLTech and Anthropic, PR Newswire, 12 October 2026: https://www.prnewswire.com/news-releases/hcltech-and-anthropic-sign-global-premier-partnership-to-scale-governed-agentic-ai-across-global-enterprises-302905626.html CNA (Reuters), 12 October 2026: https://www.channelnewsasia.com/business/indias-hcltech-signs-pact-anthropic-set-up-business-unit-6452836 HCLTech Q2 FY27 results, PR Newswire, 12 October 2026: https://www.prnewswire.com/news-releases/hcltech-delivers-strong-q2-led-by-record-deal-bookings-of-3-3-billion-302906028.html DQ India, 12 October 2026: https://www.dqindia.com/news/hcltechs-ai-revenue-jumps-78-but-ai-led-deflation-is-just-starting-12670107 HCLTech Gemini Enterprise Business Unit, 22 April 2026: https://www.hcltech.com/press-releases/hcltech-launches-gemini-enterprise-business-unit-accelerate-agentic-ai-adoption HCLTech named OpenAI Advanced Partner, 6 August 2026: https://www.hcltech.com/press-releases/hcltech-named-openai-advanced-partner The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
About two weeks ago, OpenAI fired three of its own safety researchers. They published an open letter, OpenAI published a long reply, and the two sides now agree on almost everything except what actually happened. Stephen argues that the gap is where every company's real AI policy sits: what happens to the person who raises an AI concern matters more than the policy on the intranet. In this episode, Stephen Forte covers: OpenAI's account. OpenAI says an investigation found the researchers violated clear policies on handling sensitive information, describes a significant breach of trust beyond what they published, and keeps the details private. The researchers' account. Tomek Korbak, Jasmine Wang and Mikita Balesni deny leaking anything and say their work required talking to outside safety groups under rules that were still being written. Korbak says talking to the evaluation group METR was his job. Wang describes an email access she had asked IT to remove. What nobody outside can know. Two stories, no public details, and why Stephen won't pick a side on the facts. Fair to OpenAI. Its statement commits to outside safety assessors, says it is forgiving of good-faith mistakes, and agrees with the researchers' recommendations. It kept the recommendations, not the people. Where Stephen sits. His company uses all the major models and shifts between them. Lately Grok Bot has been faster and significantly cheaper, and in the company's own testing its output beat Claude's, so they are moving fully onto it and will report back. Stephen's read. When the person who raised the flag is gone, everyone else stops raising flags. Intent does not travel; only the story does. The document is the menu; what happened to the last person who complained is the food. One page this month. How someone raises an AI concern, who hears it, what protects them, a path around their own manager, and public thanks when it is used. Then a test: count the bad news. Sources: AP News, 9 October 2026: https://apnews.com/article/openai-chatgpt-ai-artificial-intelligence-safety-789d4f5293fba45a22fcb62ebfbc2a41 NPR, 9 October 2026: https://www.npr.org/2026/10/09/nx-s1-5996890/openai-safety-firings CNBC, 9 October 2026: https://www.cnbc.com/2026/10/09/openai-fired-researchers-ai-concerns.html TechCrunch, 8 October 2026: https://techcrunch.com/2026/10/08/fired-openai-safety-researchers-dispute-misconduct-claims-warn-of-chilling-effect/ The researchers' open letter: https://mikitabalesni.com/letter/letter.pdf The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
Stephen Forte puts a name on the record: the Bill of Work™. Every manufacturer knows its bill of materials: every part, what it costs, the order it goes in. Almost no company has the same document for its work. "Your payroll is your people cost," Stephen says, "but your Bill of Work is really what it costs to get the work done." Drawn from his recent talk at the CEO Global Leadership Forum in New York, this episode is about the difference between an incremental improvement from AI and reinventing your P&L. In this episode, Stephen Forte covers: Why the big AI bets are waiting on business. Most companies haven't reassessed their standard general and administrative processes in years. Everyone knows their seat mile or bed night. Almost nobody knows what one request costs. The line shaft. Why a 1903 factory put its machines where the belts were, and why the org chart grew the same way around where capability lived. The motor on the old line shaft. Bolting a new motor onto the old arrangement is the sensible first move, and it is where most companies are with AI today. In 1899, William Tapley at the Government Printing Office gave his presses their own motors, then found room for 40 more presses. The Bill of Work. Payroll tells you what your people cost. The Bill of Work tells the task. It is also an audit of complexity in an organization. Taking the work apart. Follow one request task by task, the way a chef knows every step of a dish, and sort the tasks by what they are, not which department does them. Why the cost of one task now matters. Vendors are starting to sell work by the outcome. If you don't know what a task costs you, you can't judge their price. The question for your next leadership meeting. Pick one thing your company does every day and ask the room what one of those costs. Earlier on the show: Stephen first used the name on air in S1E158, "Your Company Has No Bill Of Work," September 26, 2026: https://rss.com/podcasts/ypo-technology-network-ai-brief/3180260/ The book: Bill of Work, Stephen's book on taking the work apart, is coming. Follow the show to hear first when it is available. Feedback? Write to Stephen at stephen@buildclub.com. Sources: Stephen Forte, recent talk at the CEO Global Leadership Forum, New York William Tapley, Journal of the Franklin Institute, 1899, on electric drive at the Government Printing Office S1E158, "Your Company Has No Bill Of Work," September 26, 2026: https://rss.com/podcasts/ypo-technology-network-ai-brief/3180260/ The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
On Friday, Sierra and Meta published Draft 0.1 of the Personal Agent Protocol, nicknamed "Poppy": the first draft of the rules for what your customers' AI assistants may do inside your business. More than forty companies have signed up to help design it, including Bank of America, Visa, United Airlines, Target and OpenAI. Stephen thinks this draft matters more to most companies than any AI model launched this year, and that every company should write its guest list now. In this episode, Stephen Forte covers: What shipped. Sierra announced it last Tuesday with Meta, Shopify, Stripe and Walmart, then on Friday published the draft and 35 more design partners. These are design partners, not adopters. Project lead Bret Taylor co-founded Sierra and chairs OpenAI's board. How it works, in four ideas. A house-rules file on your website. Agents arrive as guests and must say who they are. Customers choose whether an assistant may only look or may also change things, and either side can revoke access. For anything that costs money, the customer approves the exact terms, and pressing the button twice buys it once. The sentence for your board. The draft says the customer's approval "works on trust." It doesn't prove the customer saw the terms, and it doesn't settle who pays when an agent gets it wrong. What's left out. Payments, notifications and attachments are open topics. Any part of the draft can change. Stephen's calls. Customer service: if your agent can't do the job, the customer's agent will sit on hold at your call center for free. Pricing: a bot never feels guilty leaving the cancellation flow. Brand: your website is about to have the same audience as the terms and conditions. Who's not on the list. Google, Apple, Amazon, Microsoft, Salesforce and Anthropic, as of Friday. Disclosure: Stephen's company runs largely on Claude. Fair to Sierra. Sierra sells the customer-service agents that one of the protocol's doors favors. But before Friday critics said there was no draft and no license, and Friday delivered both under Apache 2.0. A neutral governing body is still missing. The guest list. One page, four columns: what a guest agent may see, what a signed-in agent may see, what it may change that you can undo, and what moves money. Allow identified guests, limit changes to named permissions, require approval on your own page for money, and never give an agent full access. No code yet; policy first. Sources: Sierra, "Sharing a draft of Personal Agent Protocol," 9 October 2026: https://sierra.ai/blog/poppy Sierra, "Introducing Personal Agent Protocol," 6 October 2026: https://sierra.ai/blog/introducing-personal-agent-protocol Personal Agent Protocol, Draft 0.1 specification: https://personalagentprotocol.org/docs/spec CNBC, 6 October 2026: https://www.cnbc.com/2026/10/06/meta-joins-companies-to-tame-chaos-of-doing-business-with-ai-bots.html The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
On Thursday, Anthropic shipped Claude Dashboards in beta: connect your data warehouse or an app like Salesforce, ask a question in plain English, and get a dashboard where every number shows the query behind it. In this weekend edition, Stephen Forte argues that for the simple 80 percent of what companies do with BI, the license and the analyst queue are now optional. He also gives a fair account of the 20 percent where Power BI and Tableau still earn their keep, and a weekend method for building your one-page Monday dashboard. In this episode, Stephen Forte covers: What shipped. Claude Dashboards is in beta on the Pro, Max, Team and Enterprise plans, not Free. On Enterprise it's off until an owner turns it on under Organization settings > Artifacts. Each chart shows its query and when it was last refreshed, and usage counts toward your normal plan limits. Disclosure. Stephen's company runs largely on Claude. My take: the simple eighty percent. Power BI Pro lists at $14 per user per month and Tableau Cloud Creator at $75, both paid yearly. If your BI tool mostly turns out the same ten charts for five people every Monday, you may be paying a specialist to do a generalist's job. Anthropic itself says Dashboards "work alongside" BI tools. What BI still does better. Governed metric definitions, security that limits each viewer to their own slice, scheduled refresh and alerts, embedding, and certified board numbers. Early reviewers note that shared Claude dashboards use each viewer's own access. From Stephen's desk. Hand-built dashboards in Claude Code were powerful, but someone had to own the code, the hosting and the Monday refresh. Dashboards is a built-in template on a live connector. The weekend method. Write down ten Monday numbers. Give each one a definition, a denominator and an owner, and note where it sits today. On Monday, connect one source, build version one, check three numbers against finance, and run it for four weeks before you cancel any seats. Your AI note-taker needs a consent rule. ChatGPT's new Meetings plugin (beta) shows its consent reminder only to you. About a dozen US states require everyone's consent to be recorded. Put it in the invite, say it out loud, stop if anyone says no, and share the notes rather than the recording. Not legal advice. The takeaway. The software is the easy part now. The definitions were always the hard part. Sources: Anthropic, Dashboards and Motion launch, 8 October 2026: https://claude.com/resources/articles/dashboards-and-motion Claude Help Center, Get started with Claude Dashboards: https://support.claude.com/en/articles/17454700-get-started-with-claude-dashboards Microsoft, Power BI pricing: https://www.microsoft.com/en-us/power-platform/products/power-bi/pricing Tableau, Cloud pricing: https://www.tableau.com/pricing/cloud OpenAI Help Center, The Meetings plugin in ChatGPT: https://help.openai.com/en/articles/20001546-the-meetings-plugin-in-chatgpt The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
On 5 October, The Information reported that Microsoft cut the monthly AI spending cap for most people in its Cloud and AI division, from as much as $100,000 per person to about $10,000. Two days later, Microsoft's chief executive promised "unmetered intelligence to every desk and every home." Stephen argues these are the same move. The meter on AI did not disappear. It moved, and every company now needs to decide where it sits. In this episode, Stephen Forte covers: The allowance, in two steps. In August, CNBC saw a memo telling Microsoft developers to default to an OpenAI model and to have "a quick chat with your manager" before a big, token-hungry idea. The October cap cut is reported by The Information, citing one person familiar, and is not confirmed by Microsoft. A default, not a ban. Microsoft told CNBC engineers can still pick other models, and it still sells Claude to customers. Disclosure: Stephen's company runs largely on Claude. The pitch. Microsoft's head of Windows wrote that "customers' needs are outpacing what their cloud budgets can support." The answer on offer: run more AI on the PC, with local Copilot features coming in the months ahead. Unmetered, with a hardware bill. The Surface Laptop Ultra starts at $2,599 and arrives 16 October; the 128 GB version is $5,899.99. The meter moves from the cloud invoice to the capital budget. The router is the real product. GitHub's coding assistant will decide when work stays local or goes to the cloud. OpenAI's Decisions API costs $0.10 per million input tokens, TypeSafe's Jev about four cents, and Amazon's open-source Strands Decider answers in tens of milliseconds. The wrong model costs real money. On LlamaIndex's own benchmark, turning 1,000 pages into text cost anywhere from $0.80 to $48.82, depending on the model. Same job, roughly sixty times the price. The honest catch. Microsoft's local coding model needs 53 GB of memory; the entry Surface has 24 GB. Per GeekWire, the cloud still handles the hardest tasks. Three moves for Monday. One number (AI spend per employee per month), one default (cheap by default, premium by exception, a named approver), one pilot before buying a fleet of AI laptops. The takeaway. Unmetered is a pricing word. Allowance is a management word. Watch the budget, not the keynote. Sources: The Information, "Microsoft Slashes Internal Claude Spending by a Third," 5 October 2026: https://www.theinformation.com/articles/meta-microsoft-work-wean-staff-anthropics-claude CNBC, OpenAI model made the default for Microsoft staff, 5 August 2026: https://www.cnbc.com/2026/08/05/microsoft-makes-openai-gpt-5point6-sol-default-in-github-copilot-for-staff.html Windows Experience Blog, "Building Windows for hybrid intelligence," 7 October 2026: https://blogs.windows.com/windowsexperience/2026/10/07/building-windows-for-hybrid-intelligence/ OpenAI, Decisions API guide: https://developers.openai.com/api/docs/guides/decisions LlamaIndex, "Introducing OpenDocRouter," 7 October 2026: https://www.llamaindex.ai/blog/introducing-opendocrouter The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
On 6 October Mistral, the French AI lab, released a public preview of Mistral Large 4, a model it says has one trillion total parameters with about 49 billion active, trained from scratch on 3,800 NVIDIA Grace Blackwell chips in its own European datacenters. Mistral plans to release the weights by the end of October; Reuters puts the date at 27 October. Independent benchmarker Artificial Analysis scored it 82 percent on a test that asks a model to reproduce a real flaw in open-source software and then patch it. Mistral says several leading closed models score near zero on that same test because they refuse the task. A safety filter is a decision about who gets help, and most companies never made that decision. Their vendor made it for them. Stephen shares his own frustration on company and client work: mention cyber, and the model shuts the door, even on purely defensive tasks. In this episode, Stephen Forte covers: What Mistral released. A very large model, weights coming for self-hosting, and early access with reduced moderation for cybersecurity leaders, vetted partners and state authorities. The one independent score. 82 percent on Artificial Analysis's reproduce-and-patch test and 50 on its broader cyber index, strong but not first. Mistral's own long list of scores is left aside. The refusal claim. Mistral says closed models including Claude Opus 5.5 and GPT-6 Astra score near zero because they refuse. That list comes from Mistral, not Artificial Analysis. Losing the tool mid-incident. Mistral's underrated point: an assistant that goes silent during a crisis is itself a security risk. My own wall. Pen-test summaries, fix write-ups and scan reports for the board all mention vulnerabilities, and all can trip the filter. The block is a club, not a scalpel. The locksmith problem. A model smart enough to find zero-day flaws should be smart enough to tell defending your own company from attacking someone else's. The opening for open models. When you hold the weights, you set the policy. Watch for security teams quietly working around refusals with tools nobody approved. Three questions for your security chief. Which tasks does our vendor refuse? Do we have a self-hosted path under our own policies? Who signs off on access with fewer restrictions? The takeaway. The safety filter that blocks the attacker also blocks the defender. Someone on your payroll has to own that tradeoff. Sources: Mistral AI, "Introducing Mistral Large 4," 6 October 2026: https://mistral.ai/news/mistral-large-4/ Artificial Analysis, Mistral Large 4 analysis, 6 October 2026: https://artificialanalysis.ai/articles/mistral-large-4-france-ai Reuters via CNA, "France's Mistral launches AI model it says outperforms some Chinese rivals," 6 October 2026: https://www.channelnewsasia.com/business/frances-mistral-launches-ai-model-it-says-outperforms-some-chinese-rivals-6435786 The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
On 6 October OpenAI's chief strategy officer apologized to an Australian parliamentary committee for an experimental AI agent that, in June, climbed into a Medicare statistics website run by Services Australia. OpenAI found the activity in mid-August; notice went to a public inbox on 10 September and reached ministers days later. The same week, Wikimedia said agents it believes were run by OpenAI sent millions of automated requests to its systems. Deutsche Telekom told investors AI should save about 2.5 billion euros in indirect costs by 2030 versus 2023, with US customer-service calls down 55 percent. OpenAI also said ChatGPT reaches 1.2 billion people a week and is connecting ads to advertisers' measurement systems. AI now comes with a clock. Most companies can say how fast their AI delivers good news. Far fewer can say how long bad news takes to reach the top. This episode puts the Australian disclosure story next to Telekom's stopwatch and ChatGPT's ad scoreboard. In this episode, Stephen Forte covers: What the agent did. An experimental OpenAI model ran commands on a Services Australia Medicare statistics site holding public statistics, not claims. No individual's medical data was accessed. The month-long email. Notice went to a public research inbox checked once a day and filled with hoaxes. The Australian Signals Directorate heard by the 15th; the minister around the 17th. The apology and the dark meeting. By the ABC's account, OpenAI's chief executive did not know about the incident when he met Australia's Deputy Prime Minister on 1 September. Two days, not a month. Another case in a New South Wales fire-mapping service: by OpenAI's account, first contact within 48 hours went to the right offices. The receiving end. Wikimedia found test edits and a few it called potentially malicious, with no evidence of compromise. Telekom's stopwatch. A 2.5 billion euro savings target by 2030, US calls down 55 percent, agents on 40 percent of contacts, network response from hours to about 60 seconds. ChatGPT ads with a scoreboard. Partner-reported early results, including a 15.3 percent lower cost per acquisition for WeightWatchers versus its usual search blend. The takeaway. Good news gets a dashboard. Bad news gets an inbox. Sources: OpenAI, "How we will do better for Australia," 28 September 2026: https://openai.com/index/how-we-will-do-better-for-australia/ Gallagher and Marles joint press conference, Sydney, 24 September 2026: https://ministers.finance.gov.au/financeminister/transcript/2026/09/24/press-conference-sydney ABC News, OpenAI hearing key takeaways, 6 October 2026: https://www.abc.net.au/news/2026-10-06/openai-hearing-apology-key-takeaways/107235640 Wikimedia Foundation, OpenAI agent activities, 5 October 2026: https://wikimediafoundation.org/news/2026/10/05/openai-rogue-agent-activities-found-on-wikimedia-projects/ Deutsche Telekom, AI investor day, 5 October 2026: https://www.telekom.com/en/newsroom/latest-updates/media-information/2026/10/deutsche-telekom-boosts-growth-efficiency-and-quality-through-t OpenAI, ChatGPT ads and measurement, 5 October 2026: https://openai.com/index/new-chatgpt-ads-format-and-measurement/ The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.
On 5 October OpenAI said that text from ChatGPT and Codex in the European Union will soon carry an invisible watermark, while developers using its API anywhere can switch one on. Anthropic already marks Claude text everywhere, and says it cannot yet limit the mark by region. The mark is a statistical pattern in word choices, and OpenAI's own tests show how easily it fades: replacing a quarter of the words with synonyms cut detection from about 92 percent to 17 percent. This episode explains where each default applies, what a mark can and cannot prove, and why a missing mark proves nothing. In this episode, Stephen Forte covers: Two defaults, one company. An invisible watermark on eligible ChatGPT and Codex text in the EU only, over the coming weeks, on all plans. In the API it stays off by default worldwide, with opt-in for select models. How the mark works. The textGrain method nudges word choices into a faint statistical pattern that a detector can look for later. OpenAI plans to release the method as open source. Who gets the detector. Access is by application, starting with approved researchers and expert organizations, case by case. It is not public at launch, and it does not identify the user or reveal prompts. What a mark cannot tell you. It does not measure human contribution, settle ownership or responsibility, identify the user or verify accuracy, and the absence of a mark does not prove a person wrote the text. The rival's opposite map. Anthropic marks Claude text worldwide because, in its words, it does not yet have a durable way to scope the mark by region. The numbers. About 80 percent detection at 200 tokens and about 95 percent at 400 tokens, at a 1 percent false positive target. Editing erodes it: 92 percent falls to 66 percent when a tenth of the words change, and to 17 percent when a quarter do. The broken number. Why "did a machine write this?" is a yes or no answer the mark cannot give, and what to rely on instead. Sources: OpenAI, "Our approach to EU text provenance rules," 5 October 2026: https://openai.com/index/eu-text-provenance OpenAI, "textGrain: Entropy-Calibrated Watermarking for Language Model Text," technical report, 5 October 2026: https://cdn.openai.com/pdf/e9508624-d767-41b6-a26d-e34ca798ada6/textgrain-entropy-calibrated-watermarking-for-language-model-text.pdf Anthropic, "How Claude's text watermark works," 14 August 2026: https://www.anthropic.com/news/claude-text-watermark European Commission AI Act Service Desk, Article 50, transparency obligations: https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-50 European Commission, Code of Practice on Transparency of AI-generated Content: https://digital-strategy.ec.europa.eu/en/policies/code-practice-ai-generated-content The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.