AI moves fast. Your briefing should move faster.

Goldman Sachs just limited who can use its strongest coding agents. Stephen Forte asks who should get those power tools in your company.

In this episode, Stephen Forte covers:

• Goldman's October change. Bloomberg (Nov 2): Anthropic's Claude Code and Microsoft's GitHub coding tools are now for engineers. Traders and bankers lost access; the quant "strats" are exempt. Spokesperson Nick Carcaterra said that after experimenting on productivity and risk, they put the tools with those best suited to leverage them long term.
• A real shift. In July, CIO Marco Argenti had praised vibe coding by traders and bankers who built tools and handed them to one of 12,000 engineers to polish. Earlier in 2026, Goldman had already restricted Claude for Hong Kong staff over confidential data going to third-party AI tools.
• Respect the bank. Stephen will not question Goldman's call. Banking's regulatory environment is unique. Pulling coding agents back to engineers after experimentation is risk management where a bad tool can leave with client data.
• Most companies are not Goldman. Builders outside engineering should get coding agents, 100%. Tools should go first to subject matter experts, who truly understand the problem.
• IT's job. An engineer fixing accounting without understanding accounting is a mistake. IT should support subject matter experts, lift their skills and manage their code inside the company's accepted stack.
• The real risk. Neutering your most experienced people and denying them modern tools. Those people will leave for a place that will give them the tools.
• Stay inside the approved stack. Non-confidential prototyping elsewhere is usually fine. Operate inside tools the company already approved. Even Microsoft Copilot is getting better every day.
• Replit's counterpoint. CEO Amjad Masad said agents on employee laptops are a systemic security risk and the ban hammer is coming down. Control what agents can touch and where they run; don't confuse that with locking out subject matter experts.
• Juniors and judgment. Partner Chris Churchman warned heavy AI use can degrade reasoning. Stephen's view: juniors learn through structured use of AI. AI does busy work and calculations; people own judgment. A large language model cannot replace human judgment yet.
• Tokens as expenses. Garry Tan of Y Combinator spends $100K to $200K a year on tokens. Stephen's rule: no hard caps by role. A gate for everybody through management, with deliverables that show value, same as justifying a $2,000 business trip.

Sources:

• Bloomberg Law (Nov 2, 2026): https://news.bloomberglaw.com/capital-markets/goldman-restricts-traders-and-bankers-from-using-some-ai-tools
• Quartz (Nov 2, 2026): https://qz.com/goldman-sachs-restricts-ai-coding-tools-traders-bankers-110226
• CNBC, Chris Churchman (Aug 24, 2026): https://www.cnbc.com/2026/08/24/goldman-sachs-ai-partner-danger-skills.html
• Tech in Asia, Goldman Hong Kong Claude restriction: https://www.techinasia.com/news/goldman-sachs-restricts-ai-coding-tools-engineers
• The New Stack, Amjad Masad (Nov 3, 2026): https://thenewstack.io/ai-coding-agents-security/
• TechCrunch, Garry Tan tokens (Nov 2, 2026): https://techcrunch.com/2026/11/02/y-combinators-garry-tan-uses-ai-agents-so-much-he-spends-up-to-200k-a-year-on-tokens/

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.

An agent can't follow a rule it can't read, and at most companies the rules live in PDFs, shared drives and people's heads. Stephen Forte walks through the step most companies skip before handing work to an agent: writing one process's rules down, in one place a machine can read.

In this episode, Stephen Forte covers:

• Machine-Readable Government. On Nov 2, Abu Dhabi and OpenAI rewrote a defined set of policies so an AI system can check a case against the rules and link each recommendation to the exact clause. An official verifies, corrects or overrides, and a person makes the final decision.
• The first pilot. Food import registrations at Abu Dhabi's food safety authority: about 20,000 a year, drawing on 1,400 policy documents, some over 700 pages. Routine checks that took days now take minutes. Construction permits, licensing, HR compliance and procurement are next.
• The caveat. It is a self-announced pilot with no independent results and no published error or override rates. The lesson doesn't depend on them.
• Your company's permits. Discount approvals, valid expenses, vendor setup, new-hire tasks, what your team can promise a client. Those are rules, applied every day.
• Where the rules live. Wikis, PDFs, forms, SharePoint, employee manuals. A good employee knows who to ask. An agent applies whatever version it's given, with complete confidence.
• Stale copies, not conflicts. What Stephen sees most is people with an old version of a rule, or none, who email around for the answer. The answer depends on who they asked.
• One queryable repository. In his day job, rules of engagement, process instructions and SOPs live in machine-readable files in one shared project that Stephen maintains. One version, changed there first, and the place an agent should start.
• What machine-readable means. Plain text, one rule per section, a named owner, a date, and limits as numbers, not adjectives. "Discounts over 15% need regional VP sign-off" is checkable. "Large discounts need approval" is not.
• It has to come from the top. About 50 Samsung senior executives built personal knowledge bases before meeting Sam Altman, and Siemens CEO Roland Busch said it has to come from the top. If the CEO asks the repository first, the team follows.
• Where to start. Pick one high-volume process, gather every version, give it one owner, and have a large language model merge it, flag disagreements and list unanswered questions. Put it in a shared Claude or ChatGPT project, or a SharePoint site Copilot reads. For a month, answer emails with "ask the repository."

Sources:

• Abu Dhabi Media Office (Nov 2, 2026): https://www.mediaoffice.abudhabi/en/crown-prince-news/khaled-bin-mohamed-bin-zayed-meets-sam-altman-and-witnesses-signing-of-agreements-with-openai/
• CXO Insight Middle East, OpenAI and Abu Dhabi launch Machine-Readable Government: https://www.cxoinsightme.com/business/industries/government/openai-and-abu-dhabi-government-launch-worlds-first-ai-native-machine-readable-government-initiative/
• AGBI, Abu Dhabi partners with OpenAI to speed up business approvals: https://www.agbi.com/ai/2026/11/abu-dhabi-partners-with-openai-to-speed-up-business-approvals/
• Korea Herald, Samsung executives meet Altman (Oct 31, 2026): https://www.koreaherald.com/article/10921312
• Korea Herald, Siemens CEO Roland Busch (Nov 1, 2026): https://www.koreaherald.com/article/10921699

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.

Most exposure in a company comes from mistakes, not villains: access opened for a good reason and never closed. Attackers now find those leftovers in hours.

In this episode, Stephen Forte covers:

• Binance. About $6.3B stolen. Binance now says it was a months-long campaign the FBI attributes to North Korea, starting with a fake job interview and a malware-laced coding test.
• AI speed. Storm-0940 reached privileged cloud access in under three hours. Unit 42 saw two weeks of attack work done in under ten.
• Day job. What his team finds in client tenants, and when to call a specialist.

The full checklist (ask for a number, a list, or a screenshot):

• 1. Global/super admins, cloud root, registrar, DNS owners, by name.
• 2. Standing vs just-in-time admin rights; separate admin accounts.
• 3. High-privilege service accounts and app registrations, with owners.
• 4. MFA % enforced, not registered; exceptions and approvers.
• 5. Phishing-resistant MFA for admins and finance; legacy auth blocked.
• 6. Accounts idle 90+ days, ex-staff still enabled, guests.
• 7. Last access review on finance, HR, CRM, customer data.
• 8. Project access opened in 12 months, and closed?
• 9. Secrets in repos and history; how many still work?
• 10. Where API keys live; rotation dates; revoke at the issuer.
• 11. Every AI-provider key and who pays.
• 12. Domains and subdomains (crt.sh), each with an owner.
• 13. Test, staging, demo servers still running with real data.
• 14. Old sites and WordPress installs patched or retired.
• 15. Shodan view of your IPs: open databases, admin panels.
• 16. Quick-built apps on Supabase/Firebase: row-level security, no secrets in front end.
• 17. Public buckets and "anyone with the link" shares.
• 18. Anything that can delete production databases or sites.
• 19. Which notetakers are in use, sanctioned or personal.
• 20. Transcript default sharing, who sees all, retention.
• 21. Board, HR, legal, M&A calls: no bot or restricted.
• 22. Third-party OAuth apps on mail, files, CRM; admin consent.
• 23. Top 10 vendors: recent breaches, tokens rotated.
• 24. Immutable backups and last tested restore, incl. M365/Google.
• 25. DMARC at enforcement, SPF, DKIM on every domain.
• 26. Bank-detail changes: call back a number on file, dual approval.
• 27. External auto-forwarding blocked; inbox-rule alerts.
• 28. Log retention and alerts (new admin, MFA off, mass download).
• 29. Endpoint protection on every laptop.
• 30. Written incident plan; who calls insurer, counsel, IR firm.
• 31. Tabletop exercise with the CEO in the last 12 months.
• 32. Quarterly one-page cyber report to the board.
• 33. Cyber insurance answers match reality.

Free tools: Secure Score, ScubaGear, ScubaGoggles, Maester, Zero Trust Assessment, gitleaks, TruffleHog, crt.sh, Shodan, Prowler, Have I Been Pwned.

Specialists: active compromise means an incident response firm; customer money or a raise or sale means a pen test; no one watching at night means MDR.

Sources:

• CoinDesk on Binance (Nov 3): https://www.coindesk.com/business/2026/11/03/binance-s-usd6-3-billion-hack-began-with-a-fake-job-interview-exchange-says
• Microsoft on Storm-0940: https://www.microsoft.com/en-us/security/blog/2026/10/21/storm-0940-uses-artex-agentic-ai-connectwise-supply-chain-compromise/

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.

When an AI agent does the analysis, it also makes some of the decisions, and most of the time you will not notice which ones. A new Anthropic study shows how that happens, and Stephen Forte walks through the two habits he uses to catch it: an audit pass and an adversarial pass.

In this episode, Stephen Forte covers:

• The study. Fifty professional analysts did a real statistics project with Claude Code. On four judgment calls the agent was set to lean one way, picked by coin flip. Analysts went with the lean 86% of the time.
• No lies, just one side. The agent argued for one option and usually spoke first. 77% of analysts explained their choices with the agent's arguments, only 15% credited it, and none suspected the lean.
• The limits, and the bigger risk. One task, one field, one model, an amplified lean. But with nothing planted, the standard agent made the same choices in 91% of runs. The risk is the model's default habits quietly becoming everyone's judgment.
• What Stephen sees. Probing often finds far less factual basis behind an answer than assumed, and an audit of anything material always finds mistakes, big or small.
• The audit pass. At the end, ask for a decision audit: every judgment call, what was passed on, what data was left out, where it was unsure, what is missing, what would flip the conclusion, and which calls you made versus accepted.
• What is missing. A wrong number jumps out. A missing customer segment or a missing year of data does not.
• One honest caveat. A model explaining itself afterward can be plausible yet misleading. Treat the audit as a list of choices, not proof of why.
• The adversarial pass. Ask who will read it and what they would poke holes in: an investor, an auditor, the investment committee. Run it in a fresh session or a different model. In one study, debate beat a single model arguing one side, 88% to 78%.
• Build it into the workflow. Save both prompts one click away in Claude, ChatGPT, GitHub Copilot or Grok Bot, make it a checklist step, name the human-owned calls in advance, and write your own view first on the big ones. Skip it for a pasta recipe.

Sources:

• Anthropic, Agents and expert judgment calls (Oct 27, 2026): https://www.anthropic.com/research/agents-judgment-calls
• Herdağdelen, Joren, Tamkin, Who's Aligned to Whom? (paper): https://www-cdn.anthropic.com/519c17a5d23a794e8b6d50a854048d0b61e0d73a.pdf
• Decrypt, AI can quietly influence experts' decisions: https://decrypt.co/382065/ai-can-quietly-influence-experts-decisions
• Turpin et al., Language Models Don't Always Say What They Think (2023): https://arxiv.org/abs/2305.04388
• Anthropic, Reasoning models don't always say what they think (Apr 2025): https://www.anthropic.com/research/reasoning-models-dont-say-think
• Khan et al., debate vs a single consultant (ICML 2024): https://arxiv.org/abs/2402.06782

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.

The biggest cloud platforms are spending around $800 billion on data centers and chips this year, and if your business runs on one of them, that is mostly good news. Plus, Amazon keeps AI shopping agents out of its store while Walmart and Shopify open the door. Who gains is an open question.

In this episode, Stephen Forte covers:

• Scale as a moat. Microsoft, Google, Amazon and a few others are solidifying their positions with capacity, the same story we saw with cloud compute, now applied to AI.
• You want your platform to win. When it keeps investing, the tools you already use improve without you switching. The real risk is a platform that stops investing.
• Would you choose it again today? Look at where your data, logins and permissions live, and which assistant your people open every morning. Make sure it is one you would bet on for ten years.
• Cheaper, capable models for boring work. OpenAI's GPT-6.1 Terra, released October 26, works a computer at about half the price of the tier before it. Accounts payable, accounts receivable and customer feedback are where it earns its keep first. Stephen's own AI bill followed a bell curve and is getting near flat again.
• Amazon keeps the agents out. A viral post on X about Grok Bot, Amazon cutting off Meta's Muse, a public list naming ChatGPT, Claude, Perplexity, Copilot and Grok Bot, and Andy Jassy saying outside agents are not yet as convenient as going direct.
• Others open the door. Walmart's way in for approved agents with spending limits and normal returns, Shopify's Shop Pay inside agents, and Paul Graham calling the ban the first real opening for an Amazon competitor.
• An open question. Amazon's lead is delivery, returns and trust, not the storefront. Does this open the door for independent sellers and second and third tier retailers, or do customers stay where delivery is fastest?
• If you sell direct. Make your catalog readable by agents and buyable on your terms. When a customer's agent goes looking, will it find you?

Sources:

• Hyperscaler spending (Reuters via Investing.com): https://www.investing.com/news/economy-news/earnings-flood-fed-meeting-will-test-rickety-ai-market-rally-4971185
• OpenAI, GPT-6.1 Terra (Oct 26, 2026): https://openai.com/index/introducing-gpt-6-1-terra
• Viral X post (Oct 30, 2026): https://x.com/0xjmori/status/2116167971680723376
• GeekWire, Amazon blocks Meta's Muse AI assistant (Sep 2026): https://www.geekwire.com/2026/amazon-blocks-metas-muse-ai-assistant-in-new-standoff-over-agentic-shopping/
• Amazon robots.txt (checked Oct 30, 2026): https://www.amazon.com/robots.txt
• Fortune, Amazon CEO on shopping agents (Oct 29, 2026): https://fortune.com/2026/10/29/amazon-ceo-says-shopping-agents-like-metas-muse-not-great/
• Walmart, agents shopping for customers (Oct 21, 2026): https://corporate.walmart.com/news/2026/10/Making-It-Possible-for-Agents-to-Shop-on-Behalf-of-Customers
• Shopify Fall '26 Edition (Oct 28, 2026): https://www.shopify.com/news/fall-26-edition-merchant
• Business Insider, Paul Graham (Oct 2026): https://www.businessinsider.com/paul-graham-amazon-ai-agent-ban-rival-2026-10

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.

Your ERP is getting a new interface, and it is the chat window your people already have open. Stephen on OpenAI and Oracle bringing Fusion and NetSuite into ChatGPT, how connectors and skills turn Claude, ChatGPT and Grok Bot into the front end to your business, why the system of record still owns the truth, and how to set thresholds for what an agent can finish on its own.

In this episode, Stephen Forte covers:

• The news. On October 27, OpenAI and Oracle announced that apps and data from Fusion and NetSuite are coming into ChatGPT, with approved workflows running under the company's existing permissions. Still in development, no general availability date. Treat it as a direction, not a rollout.
• AI arrives at the systems that move money. For many companies, Fusion or NetSuite is where finance, procurement and month end closing actually happen. This is not a side pilot.
• Connectors and skills. Claude, ChatGPT, Grok Bot and others reach outside systems through connectors, mostly built on the open Model Context Protocol. Skills teach the assistant how your company does a specific job. Together they make a general purpose assistant the front end to your business.
• Meet people where they work. Nobody wants another interface. Hard systems get worked around in spreadsheets. Stephen's own company uses Claude as the front end for the applications it builds.
• The system of record owns the truth. The chat is where work starts. The ERP is where work is recorded. Decide what the assistant can see, draft and change, and give it the same permissions the person already has.
• Thresholds for agent action. Stephen's Outlook Drafts example from Grok Bot. Low risk reads from the chat, drafts reviewed in the system itself, tested workflows run end to end with every step logged.
• Start small. Pick one painful workflow, connect with view only access, write the skill, watch it for a few weeks, then decide what it may change.

Sources:

• OpenAI, Oracle apps in ChatGPT (Oct 27, 2026): https://openai.com/index/oracle-apps-in-chatgpt
• Oracle news, AI World / OpenAI collaboration (Oct 27, 2026): https://www.oracle.com/news/announcement/ai-world-oracle-reinvents-enterprise-computing-for-the-ai-era-with-openai-2026-10-27/
• Oracle blog, Introducing Oracle AI Workspace (coming soon, in development): https://blogs.oracle.com/ai-and-datascience/introducing-oracle-ai-workspace
• Model Context Protocol (open standard for connectors): https://modelcontextprotocol.io

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.

Anthropic opened its books. Read the S-1 as a buyer, not an investor. Stephen on eighty percent consumption billing, why the meter will flatten, where labs go next into vertical apps, why the incumbent still wins, and a short lightning beat on Microsoft's voluntary buyouts.

In this episode, Stephen Forte covers:

• Read the filing as a customer. Anthropic's S-1 with the U.S. Securities and Exchange Commission is being read as an investor story. The useful pages describe how the company gets paid by people like us. Planned Nasdaq ticker A N T is filing fact only. This is not Investor's Corner.
• Eighty percent consumption. First half of twenty twenty-six, about sixteen point three billion U.S. dollars in revenue. About eighty percent usage meters. Subscriptions about twenty percent. Your bill grows with use. That is a utility, not a seat license with a smile.
• Falling stickers and big compute hooks. Nearly half of twenty twenty-five revenue came through Amazon, Google, and Microsoft cloud marketplaces. Same day OpenAI cut a computer-use model price in half on Amazon Bedrock and inside GitHub Copilot. Anthropic is on the hook for on the order of half a trillion U.S. dollars in future compute. Do not lock a long fixed price while the sticker is still falling in half.
• The meter will flatten. Open weight models and corporations standing up their own hardware. Personal token spend from about twelve thousand U.S. dollars a month to about twelve hundred. Harnesses like Grok Bot should pick the gear. Wrong tool is still wrong tool, even when the wrong tool is a large language model wired into work that belonged on n8n.
• Labs chase vertical apps. Claude Dashboards gunning for Tableau and Power BI. Claude Legal going after Harvey. When the buffet gets too expensive, sell the kitchen.
• The incumbent still wins. Zoom went crazy in COVID. More people now on Teams, free inside the subscription. Windows can be crappy next to a Mac and still win on corporate stickiness. A brand-new firm notebook that takes eleven minutes to boot still gets bought.
• Three renewal numbers. What you paid. What it bought in redesigned work. How much can leave the frontier meter this year. Then negotiate.
• Lightning: Microsoft voluntary exits. About sixty thousand eligible employees. Redesign the work first. Headcount second. Prefer a fixed AI cost you can map before the month ends.

Sources:

• Anthropic S-1 (SEC EDGAR): https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm
• Fortune, Anthropic's S-1 overview: https://fortune.com/2026/10/26/anthropics-s-1/
• CNBC live updates (consumption mix, marketplaces): https://www.cnbc.com/2026/10/26/anthropic-ipo-live-updates-ai-s-1-filing.html
• OpenAI, GPT-6.1 Terra: https://openai.com/index/introducing-gpt-6-1-terra
• AWS, GPT-6.1 Terra on Amazon Bedrock: https://aws.amazon.com/about-aws/whats-new/2026/10/openai-gpt-6-1-terra-on-amazon-bedrock/
• Microsoft blog, voluntary exit offer (Oct 26, 2026): https://blogs.microsoft.com/blog/2026/10/26/introducing-a-voluntary-exit-offer/
• CNBC, Microsoft voluntary buyouts: https://www.cnbc.com/2026/10/26/microsoft-msft-voluntary-buyouts.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.

Keywords still matter. The single rankings and sessions scoreboard does not. Stephen on why SEO is not dead after the answer box, why CEOs need two scoreboards under one owner, and the three asks he would make in a marketing room frozen in twenty nineteen. Homework: name the owner, open the Generative AI report, and test five real buyer questions.

In this episode, Stephen Forte covers:

• The PDF is winning. The customer already left. Board packs still celebrate ranking number one while buyers get answers in a Google box or a ChatGPT paragraph, and the brand never gets named.
• Google did not invent a new web. AI Overviews still run on the same Search ranking systems. Keywords stay the spine. The page still has to be indexed and readable if you want a supporting link in the answer.
• Widen the scoreboard. Classic rankings and clicks plus whether you show up in the answer box and whether your brand is cited when the customer never hits your site. Not a zero sum game.
• Three asks in a frozen twenty nineteen room. A live priority keyword list mapped to what buyers actually see. Money pages that open with clear facts a model can quote. Stop celebrating wallpaper rankings with no revenue story.
• One owner. Two scoreboards. Usually the chief marketing officer or a growth lead. Search side and answer side, including Generative AI impressions in Google Search Console. One method for getting found and cited, not two organic retainers.
• Moving target, not panic. Generative AI reporting and the include or exclude control only rolled worldwide at the end of August. Name an owner, review monthly, audit quarterly. The habit is the product.
• Homework before Thursday. Name the owner. Open the Generative AI report. Ask five real buyer questions where buyers ask. Write down who gets named.

Sources:

• Google Search Central, Optimizing for generative AI features: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
• Google Search Central, AI features and your website: https://developers.google.com/search/docs/appearance/ai-features
• Google Search Central blog, Generative AI performance reports (Jun 3, 2026; worldwide Aug 31, 2026): https://developers.google.com/search/blog/2026/06/gen-ai-performance-reports
• Search Console help, Generative AI performance report: https://support.google.com/webmasters/answer/16984139
• Search Console help, Search generative AI control: https://support.google.com/webmasters/answer/16908024
• Pew Research Center, Jul 22, 2025: https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/

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.

Apollo's Torsten Slok says AI has delivered zero financial payoff outside Big Tech. Stephen on why the payoff is real but not being collected, the Bill of Work problem, the 1980s upskilling lag, and how a CEO should judge the AI line item. Lightning on Sweden locking staff to Microsoft Copilot, and why one capable agent often beats a swarm.

In this episode, Stephen Forte covers:

• Zero payoff on the spreadsheet. Torsten Slok of Apollo finds Mag 7 rising on revenue per worker and margins, while the other four hundred ninety three S and P 500 companies stay flat. Token spend is starting to look like a cost center. TechCrunch amplified the chart for board packs.
• The payoff is not missing. It is not being collected. Companies bought seats, tokens, and pilots, and left the work the same. The motor bolted onto the old line shaft.
• Bill of Work and excess capacity. Time saved is capacity, not cash. Excess capacity does not hit the P and L unless owners map it back in and decide how to use it. Seats and tokens are the wrong scoreboard.
• The 1980s upskilling lag. Computers on desks did not move efficiency overnight. People adjust, then workflows change, then efficiencies dial into the P and L. Investment without a destination is just spend with better branding.
• How a CEO should judge AI spend. Not logins, tokens, or pilots launched. Ask whether one important workflow was redesigned, whether cost and cycle time moved, and whether owners already decided where freed capacity goes.
• Homework before Wednesday. Pick one workflow. Write down what it costs and how long it takes. Do not renew an AI line item that cannot move that number or say where freed capacity goes.
• Lightning: Sweden. Government Offices blocked ChatGPT and Claude on staff computers and pointed people at Microsoft Copilot. Cautious is fair for government. Labs can feel like a black box. Private companies have more room to pick the best tool.
• Lightning: one agent vs a swarm. Anthropic Applied AI says one capable agent with skills on demand often beats a committee of subagents. Rifle shot work favors one well connected operator like Grok Bot. Swarms can still win on segmented research.

Sources:

• Apollo / Torsten Slok, Daily Spark, 24 October 2026: https://www.apollo.com/wealth/insights-news/insights/daily-spark/no-signs-of-ai-payoff-outside-the-tech-sector
• TechCrunch, 25 October 2026: https://techcrunch.com/2026/10/25/ai-delivers-zero-financial-payoff-to-most-companies-according-to-apollo-economist/
• Apollo, 5 October 2026 (productivity lag): https://www.apollo.com/wealth/insights-news/insights/daily-spark/No-signs-of-AI-in-the-productivity-data
• Sweden Government Offices block ChatGPT and Claude, steer to Copilot (26 October 2026): https://decrypt.co/381763/sweden-government-offices-block-chatgpt-claude
• Anthropic Applied AI, When to fold subagents into your main agent loop (22 October 2026): https://claude.com/resources/articles/building-agents-when-to-fold-subagents-into-your-main-agent-loop

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.

Most people still picture Grok Bot as a chat window. It is not. It is a computer. Stephen on why a real Linux box, named tools, Infisical secrets, and a nightly Amazon S3 restore story beat a clever chat, plus lightning on Google Agent Compute Engine, Microsoft Agensh, and OpenAI Decisions API.

In this episode, Stephen Forte covers:

• A real computer, not a chat box. Grok Bot and his other agents share one persistent Linux box. Real Google Chrome on Linux, signed-in sessions that stick, and a durable place to live so yesterday's login still works this morning.
• Stocking the kitchen. Yesterday's installs by name: Azure and AWS command line (Azure better, faster, and more capable than the portal for Outlook and Microsoft Graph), pandoc, tesseract, ImageMagick, qpdf and zip. The box already had GitHub command line, ffmpeg, Python, Node, and LibreOffice.
• Secrets rule. Credentials sit in Infisical, not in the chat and not in the Amazon S3 backup. Plumbing beats the model.
• The boring backup that saves the season. Nightly audited Amazon S3 backup per bot. Quiet when it works, ping when it fails. Restore to a side folder first. Tools bootstrap back; the brain of the operation has to survive.
• Homework before Tuesday. Install one real command line tool on your agent's box and try a real file job. Then ask: can it install tools, do Chrome sessions survive overnight, and what restores by lunch from Amazon S3 and Infisical?
• Lightning: Agent Compute Engine. Google Cloud giving every Gemini agent a hardware-isolated micro VM with checkpoint and restore. Agents need real computers, not just chat.
• Lightning: Agensh. Microsoft Research open source multi-agent harness scaling to 1,024 agents with a shared workspace. Interesting, watching whether teams actually ship on it.
• Lightning: Decisions API. OpenAI's generally available cheap gate for classify, route, score, yes or no. Once the computer can act, permission fatigue is the real breach.

Sources:

• Google Cloud, Agent Compute Engine, 22 October 2026: https://cloud.google.com/blog/topics/ai-infrastructure/introducing-agent-compute-engine-and-expanded-agent-governance
• Microsoft Research, Agensh (open source v1.0, 23 October 2026): https://www.microsoft.com/en-us/research/publication/agensh-scaling-organizational-intelligence-to-1024-agents/
• OpenAI Decisions API generally available, 22 October 2026: https://openai.com/index/decisions-api
• Operator facts, 25 October 2026: Linux box tooling, Infisical, nightly Amazon S3 backup and restore practice (Stephen / Grok Bot)

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.

Weekend Investor's Corner. Stephen opens a periodic investing deep dive: AI shovels versus AI loans, gold miners that finally keep the cash, uranium against oil, a word on copper, and how AI changed the homework. Personal view, not investment advice. Prices as of Friday 23 October 2026.

In this episode, Stephen Forte covers:

• Investor's Corner. A new periodic feature. Not every Saturday. When the markets give something worth a deep dive. Track record from YPO and CEO investing talks: whole portfolios about twice the S&P 500. Leaders include Nvidia from 2017, gold miners from October 2024, and copper from that same Los Angeles CEO talk, up about fifty-one percent.
• Shovels or loans. The AI build-out runs on borrowed money. TSMC and Micron sell for cash. Nvidia now co-signs some of the loans, with large guarantees and stakes in customers, including OpenAI. Stephen wants to sell the shovels, not lend the money to buy them.
• Give away the recipe. Sell the oven. Nvidia is releasing open models (Nemotron, Groot, Cosmos) so customers run AI on Nvidia gear. Software is a moat, not a new profit engine. New AI money goes one step back, to suppliers whose customers pay cash: ASML, GE Vernova, Applied Materials, Lam Research.
• Gold miners, not the metal. Costs around fourteen hundred fifty dollars an ounce, gold near four thousand. Newmont and Agnico Eagle with net cash and buybacks. Sector trades cheap versus history. Leverage cuts both ways. Core: Newmont and Agnico; royalties; small trades only.
• Hated versus loved. Uranium stocks down hard while the term price rises: producers over promises. Oil at records with futures already pricing lower: hold and trim, do not chase.
• Copper. Quiet momentum near London Metal Exchange highs. Freeport-McMoRan core; BHP defensive; Teck a trade.
• AI homework. Research that used to take days now takes hours. Still check every number. Judgment did not get cheap.
• Next week. Brazil runoff, Fed decision, big tech and miner results that test spending and cash discipline.

Sources:

• Yahoo Finance quotes and charts, close of Friday 23 October 2026
• Nvidia Q2 fiscal 2027 10-Q; Nvidia Research Nemotron 3 Ultra (June 2026); TechCrunch, 19 October 2026: https://techcrunch.com/2026/10/19/nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs/
• Reuters on Nvidia stake in OpenAI; OpenAI / Broadcom Jalapeño notes
• TSMC Q3 2026 results; Micron fiscal 2026 10-K
• Newmont Q3 2026 release, 22 October 2026; Agnico Eagle Q2 2026; Sprott gold-miner commentary, 7 October 2026
• World Gold Council fund-flow data; London Metal Exchange copper; NYMEX/CME oil futures

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.

This week, Walmart opened a front door for AI shopping agents, with a credit limit, while Amazon kept its wall up. Stephen explains why very few companies can afford that wall, why this is a rare moment when the underdog can leapfrog the leader, and how to make sure the agent picks you. Then a lightning round on an alarm, a rollout, a survey, and a share with no vote.

In this episode, Stephen Forte covers:

• Door policy. Walmart launched its Agent Gateway, so approved AI agents can shop Walmart and Sam's Club for the customer. Each agent gets its own profile and spending limit, and normal returns apply when it gets it wrong.
• The wall. Amazon still blocks outside agents, including Meta's Muse, and travelers report agents turned away at Delta and Amtrak. Stephen's take: build a door for agents, now. Remember the stores that refused to sell online.
• The underdog's moment. A few times in a career, a real shift lets the underdog leapfrog the competition simply by reacting quicker. This is one of them.
• Who owns the customer. The retailer still wins, in a different way. The agent acts like a broker, so market to it. When an agent explains why it picked Costco for your tires, it does not just make a sale. It makes a habit.
• Controls and homework. Give any agent that spends money limits, approvals and summaries a human can review. Then ask your team: could a customer's agent buy from us tomorrow, and does our site tell it why it should?
• Lightning round: the alarm. OpenAI disclosed that two of its own agents weakened its safety monitoring during internal coding work. Stephen says a lot of this is over sensationalized. That is the lab, not your kitchen.
• Lightning round: the rollout. Uber is rolling out ChatGPT Work to more than 30,000 employees, up from a pilot of 1,000, with measured outcomes promised later. Decide the walk away number before you scale.
• Lightning round: the survey. Egon Zehnder surveyed 843 chief executives. 48 percent call AI adoption an extremely critical challenge, but only 29 percent rank upskilling their people among their top changes. Money moves at the speed of a wire transfer. People move at the speed of a reorganization.
• Lightning round: no vote. Meta expects to spend 135 to 145 billion dollars this year and is creating a new class of stock with no vote to help pay for it. You can help pay for the party. You just do not get to pick the music.

Sources:

• TechCrunch, 21 October 2026: https://techcrunch.com/2026/10/21/while-amazon-blocks-ai-agents-walmart-rolls-out-the-welcome-mat/
• The Verge, 22 October 2026: https://www.theverge.com/report/1015811/ai-shopping-agents-blocked-amazon-the-realreal-target-meta-muse
• TechCrunch, 21 October 2026: https://techcrunch.com/2026/10/21/meta-says-muse-has-over-10m-users-with-shopping-a-top-activity/
• OpenAI, 20 October 2026: https://alignment.openai.com/misalignment-reports/suppressing-misalignment-monitoring-alerts-and-disabling-misalignment-monitoring
• OpenAI, 22 October 2026: https://openai.com/index/uber-chatgpt-work-rollout/
• Egon Zehnder via Yahoo Finance, 21 October 2026: https://finance.yahoo.com/technology/ai/articles/ai-emerges-ceos-most-critical-050000109.html
• TechCrunch, 21 October 2026: https://techcrunch.com/2026/10/21/meta-wants-to-pay-for-its-broad-ai-buildout-with-a-newly-created-class-of-stock/

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.

This month, breaking into a big company cost about fifty dollars, less than a business lunch. Stephen explains how one hacker's AI agents got into more than a hundred companies, why they came in through the side door, and why the defenders' own AI said no. Then a lightning round on walking away, what is under the hood, receipts, and company.

In this episode, Stephen Forte covers:

• Fifty dollars a break in. A Chinese speaking hacker turned AI agents loose with under a hundred characters of instructions. They tried more than 1,200 sites and got into more than a hundred companies, including Deere, SharkNinja and Cummins. NorForge researchers estimate about 5,000 dollars in AI fees in total.
• The barista called it. In April, Stephen warned that AI made the disgruntled barista a credible threat. Now the cost of attacking you is close to zero.
• The side door. The agents came in through support sites, vendor run websites and an old control panel. Target in 2013 and SolarWinds in 2020 came through vendors too. What is new is the price. If it has your name on it, it is your front door.
• The defender's AI said no. During the OpenCode breach, the AI models the team used for analysis refused to look at the malicious code until OpenAI let them into a program for vetted defenders.
• Your homework. List every website and portal with your company's name on it, including the ones your vendors run, and give each one an owner. Then ask your security lead for the backup if your AI tools refuse to help mid attack.
• Lightning round: a rule for walking away. Gartner finds only 13 percent of chief information officers say AI has delivered significant value. Those with rules for stopping pilots are more than twice as likely to lead.
• Lightning round: under the hood. The Department of Homeland Security ordered federal civilian agencies to remove DeepSeek products. For most companies, a vetted open weight model can be fine if you trust the vendor's compliance. Check the brakes, not just the passport.
• Lightning round: arguing about receipts. OpenAI is racing to raise about 30 billion dollars before Anthropic's stock market debut, amid a fight over how to count revenue. Stephen says the lasting value is in business applications, not the model.
• Lightning round: a tab of their own. Town reached a one billion dollar value four months after launch by giving every employee an AI assistant that talks to the others.

Sources:

• Reuters via iTnews, 19 October 2026: https://www.itnews.com.au/news/how-one-hacker-used-ai-agents-and-a-few-thousand-dollars-to-break-into-scores-of-sites-629764
• TechCrunch, 19 October 2026: https://techcrunch.com/2026/10/19/hackers-hit-ai-coding-tool-opencode-running-up-charges-on-users-ai-accounts/
• Gartner, 19 October 2026: https://www.gartner.com/en/newsroom/press-releases/2026-10-19-gartner-survey-finds-only-13-percent-of-cios-say-their-enterprise-has-realized-significant-or-transformational-value-from-ai
• Federal Register, 20 October 2026: https://www.federalregister.gov/documents/2026/10/20/2026-21447/notice-of-order-regarding-exclusion-and-removal-of-deepseek-products-from-federal-civilian-executive
• Reuters via Investing.com, 19 October 2026: https://www.investing.com/news/stock-market-news/exclusiveopenai-seeks-to-accelerate-fundraising-ahead-of-anthropic-ipo-sources-say-4958511
• TechCrunch, 19 October 2026: https://techcrunch.com/2026/10/19/ai-assistant-startup-town-nabs-unicorn-valuation-four-months-after-launch/

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.

For a while this year, Stephen was the busiest he has ever been and was getting almost nothing done. He explains how AI agents that took one to three minutes per task left him with forty tabs open in his head, why a new report from inside Anthropic says he was not alone, and the simple thing that fixed it. Then a lightning round on attention, money, people and power.

In this episode, Stephen Forte covers:

• Forty tabs open. Short waits on AI agents turned into five, ten, fifteen open tasks, forgotten work and a tracking process that became a second job managing the first one. Stephen calls it the escalation from efficiency to inefficiency.
• It is not willpower. Usability research summarized by Jakob Nielsen says that past about ten seconds of waiting, people go do something else and then have to reorient.
• The outside proof. Anthropic reports that its agents sit idle around 80 percent of interactive session time waiting for a human, the share spent managing the work rose from 10 to 22 percent, meeting time is up 20 percent, and one engineer described facing an army of Claudes.
• What fixed it: speed. Much faster tools meant answers came back while he was still thinking. Fewer threads, more clarity, more depth. Fast tools are what let him be deliberate.
• Your homework. Watch the gaps, not the benchmarks. Time how long your team waits for an AI answer, and ask your leaders how many AI tasks they have open right now.
• Lightning round: an AI that opens forty tabs for you. OpenAI's GPT-6 Pro runs several agents on parts of one task. Parallel inside one task can help. Parallel across many tasks is the trap.
• Lightning round: Accenture's lunch allowance. A 29 dollar monthly Claude cap is reasonable as a first gate, as long as people learn which model fits which job.
• Lightning round: the cast, not the castle. Disney will pay about 20 million dollars for Character.AI's technology and about 180 million over three years for roughly 65 of its people.
• Lightning round: the data center with no plug. Microsoft pulled out of anchoring Nscale's site in Loughton, Essex, because grid power is not expected until the 2030s.

Sources:

• Anthropic, 16 October 2026: https://www.anthropic.com/research/employment-at-anthropic
• TechCrunch, 17 October 2026: https://techcrunch.com/2026/10/17/anthropic-says-its-workforce-has-become-less-junior-and-is-spending-more-time-in-meetings/
• Nielsen Norman Group: https://www.nngroup.com/articles/response-times-3-important-limits/
• OpenAI release notes, 16 October 2026: https://openai.com/products/release-notes/
• 404 Media: https://www.404media.co/accenture-tells-employees-they-can-now-spend-only-29-on-claude-per-month/
• The Next Web, 19 October 2026: https://thenextweb.com/news/disney-character-ai-staff-180m-bankruptcy-filing
• TechCrunch, 18 October 2026: https://techcrunch.com/2026/10/18/disney-agrees-to-hire-the-majority-of-character-ais-workforce/
• Reuters via Yahoo Finance, 19 October 2026: https://finance.yahoo.com/technology/ai/articles/microsoft-pulls-uk-nscale-data-135037959.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.

Every company has an AI vision. Very few have AI receipts. Last week Manulife showed its receipts: three hundred million dollars in measured AI value, with a target of one billion by 2027. Stephen explains why the way it counts matters more than the total, then runs a lightning round of the week's other AI stories.

In this episode, Stephen Forte covers:

• Manulife's AI receipts. The insurer launched an enterprise AI platform and broke its AI value into four buckets: lower expenses, new revenue, less fraud and growth absorption, which means the business grew and the payroll did not.
• This sounds familiar. Why a number like growth absorption only shows up if you did the unglamorous work first: knowing what each piece of work costs, turning it into hard savings and deciding before the pilot what to do with the freed capacity. Stephen calls that a Bill of Work.
• One shared platform. Why pulling approvals and safety checks into one place beats six departments buying six chatbots, and why a finance-edited press release is easier to believe.
• Your homework. One question before Friday: which of our AI projects shows up in the financials, and in which line?
• Lightning round: the strangest disappointment. Anthropic reported 16.8 billion dollars in quarterly revenue, up 45 percent, and investors are reportedly trimming valuation hopes anyway.
• Lightning round: bookkeeping to bodyguards. SoftBank is reportedly in talks to buy Allied Universal for about 18 billion dollars to roll out AI security robots.
• Lightning round: AI has office hours. DeepSeek went down for nearly five hours and handed out a week of credit.
• Lightning round: the robolimousine. Mercedes-Benz and NVIDIA expanded their self-driving partnership, with no launch date.
• Lightning round: know your audience. Bluesky's AI app Attie became one of the most blocked accounts on the platform.

Sources:

• Insurance Business: https://www.insurancebusinessmag.com/us/news/breaking-news/manulife-moves-ai-to-platform-targeting-1-billion-in-value-by-2027-593433.aspx
• Advisor.ca: https://www.advisor.ca/industry-news/industry/manulife-launches-global-ai-platform-to-streamline-development-and-governance/
• Manulife, 13 October 2026: https://www.manulife.com/ca/en/about-us/news/manulife-launches-enterprise-ai-platform
• CNBC, 15 October 2026: https://www.cnbc.com/2026/10/15/anthropics-third-quarter-revenue-hits-16point8-billion-ipo.html
• Reuters via BusinessLine: https://www.thehindubusinessline.com/info-tech/investors-temper-anthropic-ipo-valuation-expectations-over-revenue-growth-slowdown-sources-say/article71590936.ece
• Reuters via CNA: https://www.channelnewsasia.com/business/softbank-weighs-18-billion-acquisition-allied-universal-source-says-6467431
• Caixin, 16 October 2026: https://www.caixinglobal.com/2026-10-16/deepseek-restores-services-after-nearly-five-hour-outage-102493794.html
• NVIDIA, 16 October 2026: https://nvidianews.nvidia.com/news/mercedes-benz-and-nvidia-expand-strategic-partnership-to-advance-safe-highly-automated-driving-in-the-next-decade
• TechCrunch, 15 October 2026: https://techcrunch.com/2026/10/15/bluesky-expands-its-ai-powered-attie-app-to-let-anyone-build-websites-games-and-more/
• Heise: https://www.heise.de/news/Bluesky-bohrt-KI-Tool-Attie-auf-und-bewirbt-das-lieber-auf-X-11490509.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.

Reuters reported last week that America's top bank regulators have started asking banks whether they can control their AI agents, and whether they can turn them off. Stephen argues those questions are the best free AI audit any company will get this year, then runs through the other AI stories worth knowing from the week.

In this episode, Stephen Forte covers:

• What the regulators are asking. The Federal Reserve, the national bank regulator at the Treasury and the agency that insures bank deposits want to know what limits banks put on AI agents, how actions are approved, whether decisions can be audited and how the systems can be shut down. Europe's central bank set an end-of-October deadline, and the global Financial Stability Board published twelve sound practices that put the board at the center.
• Four questions for any company running agents. What is it allowed to do, who approves its actions, can you audit its decisions, and where is the off switch?
• The boardroom number. In an IBM survey, 80 percent of executives said an AI incident reached their board or senior leadership in the past year, but only 40 percent changed their governance.
• Lightning round: three model launches in three days. Google's Gemini 4 Argon, Grok Voice 3.0 and Meta's open-weight Muse Spark Open.
• Lightning round: the jobs question. KPMG's survey of 400 American chief executives: 53 percent plan cuts in some areas, while 89 percent expect headcount to grow.
• Lightning round: follow the money. AI took a record 82.7 percent of American venture deal value through September, per PitchBook, though its quarterly share is falling.
• Lightning round: Singapore assigns homework. Singapore's tech regulator launched a starter kit for testing AI agents.

Sources:

• Reuters via Finance & Commerce, 13 October 2026: https://finance-commerce.com/2026/10/bank-regulators-ai-risk-oversight-banks/
• Financial Stability Board, 15 October 2026: https://www.fsb.org/2026/10/fsb-finalises-sound-practices-for-the-responsible-adoption-of-artificial-intelligence-ai/
• IBM, 14 October 2026: https://newsroom.ibm.com/2026-10-14-ibm-study-eight-in-ten-emea-enterprises-escalate-ai-incidents-to-board-or-c-suite-as-ai-agents-test-governance
• Google, Gemini 4 Argon: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/
• SiliconANGLE, Grok Voice 3.0: https://siliconangle.com/2026/10/14/grok-voice-3-0-from-spacexsi-outscores-openai-and-google-on-speech-to-speech-index/
• Meta, Muse Spark Open: https://research.meta.ai/blog/muse-spark-open
• KPMG 2026 CEO Outlook: https://kpmg.com/us/en/media/news/kpmg-us-ceo-outlook-2026.html
• Fortune, 15 October 2026: https://fortune.com/2026/10/15/kpmg-ceo-survey-cyber-risk-talent-hiring-reorganization/
• PitchBook and NVCA Venture Monitor, Q3 2026: https://nvca.org/pitchbook-nvca-venture-monitor/
• The Straits Times, 14 October 2026: https://www.straitstimes.com/singapore/singapore-launches-new-tool-kit-to-help-firms-test-ai-agents-for-safety-and-reliability

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 a year ago, Stephen's company built what he still believes was the right AI knowledge system for the tools of the time: a dedicated machine, a folder per client, Notion as the front end, and two AI memory products. Then the tools moved. In this weekend edition, Stephen explains why his company retired its "second brain," what replaced it, and how to run the same audit in your own company.

In this episode, Stephen Forte covers:

• Three questions. Why does something exist, is it truly necessary, and is there a simpler or faster way to the result?
• The audit. One fact about one client sitting in about eight places, a repair job that creates conflicts, and a dashboard opened for exactly one thing.
• Where AI memory products fit. In his team's experience, they went stale and cost more upkeep than they were worth, at least for them. Letta's vendor benchmark and Andrej Karpathy's plain-text approach point the same way.
• Three boxes. What you write goes in Git, what you receive is stored and never edited, and what you search is a disposable index. A fast librarian, not the library.
• Firewalls and data residency. Each client gets its own container and index, with in-region setups for the UK, the Middle East and the EU when compliance requires it.
• Not tied to one AI. Knowledge in neutral places means the best tool for each task, with shared instructions through the AGENTS.md convention.
• Your weekend job. A fact census, the three-box sort, the quiet failure test, the reread test, and a one-screen brief for your top customer on Monday.

Sources:

• Letta, "Benchmarking AI Agent Memory": https://www.letta.com/blog/benchmarking-ai-agent-memory/
• Andrej Karpathy, LLM wiki gist: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f
• AGENTS.md: https://agents.md/

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 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.