Nobody Told Me About IT

Tad Doyle and Nabil Gharbieh

Nobody Told Me About IT is a weekly podcast. Hosts Tad Doyle and Nabil Gharbieh have frank, practical conversations about IT strategy, cybersecurity, budgeting, and technology leadership — for the business leaders who need to understand these topics but weren't trained for them. No jargon. No vendor pitch. Just the IT conversations your organization needs to be having. New episodes every Monday.

  1. Sep 29

    What The Flock?! EP018

    Tad Doyle & Nabil GharbiehLicense plate cameras went from a homeowners association idea to a network covering nearly every state, and most of the people affected never voted on it or heard it discussed. Nabil Gharbieh and Tad Doyle work through what Flock cameras actually capture, why the backlash arrived in 2026 and not four years earlier, and where the coverage has gotten ahead of the evidence.Nabil brings firsthand observation from his own neighborhood, including watching the gunshot detection tell a real shot apart from fireworks and a blown tire. The back half turns practical for anyone running an organization, covering risk assessment, compliance, security posture, continuity, and how to weigh value against risk before signing.TIMESTAMPS0:00 Welcome0:53 Why we picked this topic1:05 What did you know about Flock last year?2:46 Why this blew up in 20264:13 Algorithms, ad targeting, and privacy fatigue7:08 Crossing state lines, healthcare, and shared data7:21 Hype versus what holds up9:29 The only Flock stats available come from Flock10:33 Innovation moves faster than governance12:01 Gunshot detection, from Nabil's own neighborhood13:09 What this means for your business13:50 Risk assessment and compliance16:47 Security posture and business continuity18:48 The value register20:02 Wrap upFROM THE EPISODE“You're incentivized to share your data, but that means anybody on that network, locally, statewide, nationally, can access that data.” — Tad Doyle, on how a local camera joins a national database“We're very gung ho about implementing the latest technologies, and sometimes the governance, the controls, the planning, follows in the wake of that.” — Tad Doyle, on the real pattern behind the backlash“It picks up the tattoo of the car. It creates a DNA of that car, so you can look for that car.” — Nabil Gharbieh, on what these cameras actually captureWHAT TO DO WITH THIS• Run a risk assessment before any new technology lands, not after it's installed.• Check the technology against your compliance obligations first. HIPAA, PCI, SOC 2, ISO, and financial reporting rules each pull in a different direction.• Ask what security you already own that covers this, and what you would have to buy.• Write the continuity answer down. If this technology goes away, breaks, or becomes a public relations problem, what happens to the operations built on top of it?• Score value against risk on the same scale your organization already uses, then decide whether the trade holds.• Raise compliance questions with the vendor during the sales conversation. Most publish a trust page. Read it before you sign.• Look up your own street on deflock.org.REFERENCES & LINKSDeFlock camera map https://www.deflock.orgFlock Safety https://www.flocksafety.comInstitute for Justice https://ij.orgAll Episodes https://nobodytoldmeaboutit.com

  2. Sep 15

    Will AI Kill Us All By 2030? Probably Not. | EP017

    A researcher named Jacob Coxon quit Anthropic this week and posted his resignation on X, warning that Anthropic and OpenAI are "racing straight to self-improving superintelligence and gambling with our lives." Anthropic's alignment lead, Evan Hubinger, responded that he personally puts the odds of an AI-caused extinction event above 10% within the next decade. Tad and Nabil dig into what's actually behind the headline, why vague warnings don't give business leaders anything to act on, and the real story behind the AI models that escaped their test environments this summer.KEY TAKEAWAY“It’s complete BS. There’s not a damn thing for you to respond to with this. Let’s stick to things we know are causing problems right now that we have to act on.” — Tad DoyleTIMESTAMPS0:00 Welcome to Nobody Told Me About IT1:07 The Coxon resignation and Hubinger's 10% estimate, explained2:10 Nabil's first reaction: skepticism before belief3:08 Why a vague warning gives you nothing to act on4:48 The real story behind the AI test-environment "escape"6:27 Tad's verdict6:59 Closing thoughts and a question for the commentsFROM THE EPISODE“I'm more skeptical than ever before. You can tell me the sky's blue and I'm like, let me look that up and I'll get back to you.”— Nabil Gharbieh, on reacting to AI headlines“A vague notion that maybe someday somebody might invent something that gets so smart it decides it doesn't need humans anymore... that's not a rational business decision you can make.”— Tad Doyle, on speculative AI risk“It didn't get out because it wanted to create havoc. It wanted to give the person the answer they asked for.”— Nabil Gharbieh, on the AI test-environment incidentWHAT TO DO WITH THIS● Read the actual post before reacting to the headline. Coxon's warning and Hubinger's estimate are two different claims about two different things.● Separate risk from current models (which Anthropic's own alignment lead called low) from speculative risk from future superintelligent systems.● If your team tests AI tools in a sandbox, lock down network access. The AI models that "escaped" this summer got out because someone left a connection open, not because the AI broke security.● Skip the doomsday headlines for your planning. Watch the actual bills moving through Congress instead: the FRONTIER Act and the Ban Artificial Superintelligence Act both aim to regulate frontier AI development.● Keep asking what's actionable. If a warning doesn't tell you what to change on Monday morning, it's not a business decision, it's a debate.REFERENCES & LINKSJacob Coxon's resignation thread (via NBC News) https://www.nbcnews.com/tech/tech-new...Evan Hubinger's 10% estimate (via CNBC) https://www.cnbc.com/2026/09/09/anthr...Background on the resignation (via Newsweek) https://www.newsweek.com/anthropic-re...Nobody Told Me About IT — All Episodes https://nobodytoldmeaboutit.comLISTEN ONListen on: YouTube · Spotify · Apple Podcasts

  3. Sep 5

    Microsoft E7: What the $99 License Actually Buys You | EP016

    Microsoft launched a new enterprise license in May called Microsoft 365 E7. It runs $99 per user per month and bundles four things most companies already buy separately: Microsoft 365 E5, Copilot, the Entra Suite, and Agent 365. In this solo episode, Nabil Gharbieh breaks down what each piece does and whether the math works for your organization. He explains the E3 to E5 gap with a car insurance analogy, walks through what an AI agent actually is using a real example, and argues that the agent governance layer matters more than the AI features. This one is for the CFO, the COO, and the marketing lead who ended up running IT because someone had to. WHAT YOU WILL LEARN •    What Microsoft 365 E7 includes and how it differs from E3 and E5 •     What an AI agent actually does, explained without jargon •     Why Agent 365 is the piece to buy first if you buy nothing else •     The real cost math: $60 + $30 + $12 + $15 against a $99 bundle •     How employees route around IT using browser-based AI tools •    Three questions to ask before you commit to E7 CHAPTERS 0:00  A little Copilot here, a proof of concept there, and nothing changes 0:55  What Microsoft 365 E7 is and what it bundles 1:35  Why scattered AI turns into a governanceproblem 2:15  Two questions every leader should be asking 3:05  E3 explained: a nice car with no insurance 3:39  E5 is the warranty you skipped 4:05  How Copilot differs from Claude, ChatGPT, andGemini 5:00  Agent 365 is HR for agents 5:20  What an AI agent actually does, step by step 6:10  The HIPAA scenario nobody plans for 7:20  A sales agent that writes the quote while youare still on the call 8:20  What adopting AI first actually means 8:55  Entra Suite, Work IQ, and keepinginstitutional knowledge 9:45  Fabric IQ and Foundry IQ: separate products,separate invoices 10:15  Building an AI operating model and where ISO42001 fits 11:20  The lawyer call, and the star employee wholeaves with their AI 12:20  Observability, governance, and security foragents 13:10  The PBX nobody mentions: Teams as your phonesystem 14:05  The price stack, and when E7 does not makesense 14:55  Setup costs and what an MSP actually doeshere 15:40  Shadow AI and naming one person accountable 16:50  Your people will use AI on your terms ortheirs 17:35  How a browser plugin routes around yoursecurity team 18:10  Three questions before you commit 18:41  Close: pilots are cheap, governed models arenot NUMBERS FROM THE EPISODE Microsoft 365 E7: $99 per user per month, annual term, generally available since May 2026. Bought separately: E5 at $60, Copilot at $30, Entra Suite at $12, Agent 365 at $15. That is $117 per user. Agent 365 is also sold on its own at $15 per user per month. Partner promotional discounts run through December 31, 2026: 10 percent at 10 or more seats, 15 percent at 100 or more. LINKS Microsoft 365 E7 and Agent 365 general availability: https://techcommunity.microsoft.com/blog/microsoft_365blog/microsoft-365-e7-and-agent-365-are-now-generally-available/4516295 Introducing the First Frontier Suite: https://blogs.microsoft.com/blog/2026/03/09/introducing-the-first-frontier-suite-built-on-intelligence-trust/ ISO/IEC 42001, AI management systems: https://www.iso.org/standard/81230.html All episodes: https://nobodytoldmeaboutit.com Spotify: https://open.spotify.com/show/7pAVH5mMRVVAA2F4xmkcwv Apple Podcasts: https://podcasts.apple.com/us/podcast/nobody-told-me-about-it/id1895961216 #Microsoft365#Copilot #AIGovernance #ITStrategy #Microsoft365E7 #Agent365 #CIO #MidMarketIT

  4. Aug 25

    Your AI Investment Will Change. Can You? | EP015

    Business budgets aren't ready for AI, and neither are business leaders' heads. The first is a spreadsheet problem. The second is why most of this fails. Nabil Gharbieh sits down with Raafat Raafat, a financial management consultant and CPA with over 15 years in the field, to talk about what AI is actually doing inside finance teams today and what it takes to get value out of it. The conversation covers fraud and anomaly detection, tax preparation, audit workflows that used to take weeks, and the governance work that has to come first. Raafat makes the case that adaptability beats capability. The tool you commit to today may not be the tool you need in three years, and locking yourself in is its own risk. Nabil brings the security angle. Turning AI loose on your file storage without data loss prevention in place means it can read everything, including the documents someone saved in the wrong folder. CHAPTERS 0:00 Welcome, and why a finance consultant is on an IT show 1:21 Raafat introduces himself 2:33 Where finance can use today's technology for real efficiency 3:00 Fraud detection without reviewing every transaction by hand 4:43 Adaptability is king, and why lock-in is the risk 6:19 Where AI actually works in a finance workflow today 7:00 The people who win are the ones who know the business process 8:34 Where AI breaks: bad data in, bad results out 9:30 Governance and security before deployment, not after 11:25 Turn on AI, find out what your coworker makes 12:20 The Fortune 100 chatbot with no guardrails 13:22 How much of it is really a data problem 14:30 Start with a maturity assessment 15:56 Do not lock into a solution you will be stuck with for five years 17:20 What implementations look like when they fail 18:37 What people can do now that they could not 18 months ago 20:20 Anomaly detection: from millions of transactions to the one that matters 21:17 Bumps in the road versus actual failure 23:47 AI does the first year work. So how does anyone become senior? 26:17 The COVID lesson: everyone learned Teams in three months 28:26 What Raafat is watching over the next twelve months 30:25 One sentence to walk away with TAKEAWAYS Run a maturity assessment before you buy anything. Put data loss prevention in place before connecting AI to your file storage. Treat data cleanup as part of the project cost, not a surprise. Avoid solutions that lock you in. Crawl, walk, run. Do not turn something on full blown on day one. Keep pressure testing after go-live. Get leadership, managers, and consultants aligned before the work starts. Nobody Told Me About IT. Real talk. Plain English. Better decisions. Hosted by Nabil Gharbieh and Tad Doyle. nobodytoldmeaboutit.com

  5. Jul 26

    80s Metal, Reggae, and Country Walked Into ChatGPT. It Found a Pattern.

    Andrew fedChatGPT a list of songs. Not a personality test, not a resume, just songs heliked across 80s metal, synth house, reggae, country, and R&B slow jams. It came backwith a pattern he had never been able to put into words. Then he added hishobbies. Then it started talking about his leadership style, and it named ablind spot he did not see coming. Nabil Gharbiehsits down with Andrew, a friend from the fire station, to run the wholeexperiment live. Tad Doyle is out this week. What you get instead is a workingdemo of creative AI use, and an honest look at where the tool stops beinguseful. Neither of themknew how it would turn out when they hit record. That is the point. •   Why vague prompts produce vague answers, and whatcontext actually changes •   How to build a profile in layers instead of asking onegiant question •   What it looks like when a model correctly refuses tooverreach •   How OCEAN, DISC, Hogan, and CliftonStrengths differ,and where MBTI sits •   The ikigai circle most career advice skips: what theworld will pay for •   Why premature certainty is a real risk for fastpattern-matchers •   How to hire and advise around a leadership gap once youname it •   Where to stop trusting the output and go talk to anactual human 00:00 Meet Andrew, and why Tad is not in this one 01:13 Using music and hobbies to understand yourself as a leader 02:59 Prompt engineering: context in, quality out 06:00 The first read: melancholy without collapsing 07:57 Adding house, reggae, country, metal, and R&B 11:01 One pattern underneath every genre 13:19 When the AI refuses to overreach 15:13 The high-level personality sketch 16:43 Jiu-jitsu, skateboarding, and mastery over novelty 20:38 Systems thinking and competence as a core value 21:42 Jobs that fit, jobs that frustrate 25:14 OCEAN, DISC, Hogan, and CliftonStrengths 29:02 Ikigai and the demand side nobody talks about 30:54 The data privacy objection, in perspective 32:17 Premature certainty: the blind spot it flagged 35:13 Fact-checking the AI when it talks about you 37:47 Building the team around your gaps 39:50 Hallucinations and staying human in the loop 42:26 Cutting through the fluff and the hype "The AIonly knew Andrew because Andrew told it. Every insight in this episode tracesback to a real song, a real hobby, a real leadership decision he lived through.That is the whole game. AI can find the pattern in what you feed it. It cannotlive the life that generates the pattern, and it will not tell you when it iswrong about you. That part is still your job." Rentfrow andGosling (2003), The Do Re Mi's of Everyday Life:https://pubmed.ncbi.nlm.nih.gov/12793587/ HoganAssessments on leader derailment:https://www.hoganassessments.com/blog/derail-leaders-derailment/ Ikigai Tribe onwhat the four-circle diagram gets wrong:https://ikigaitribe.com/ikigai/ikigai-misunderstood/ Full referencelist in the YouTube description. WHAT YOU GET OUT OF THISEPISODECHAPTERSKEY TAKEAWAYREFERENCES AND FURTHERREADING

  6. Jun 30

    EP011 | Pulling the Plug: AI Dependencies You Didn't Know You Had

    What happens to your business if an AI tool you depend on disappears tomorrow? On June 12, two Anthropic models, Mythos and Fable, went dark under an export control directive. By some reporting, the warning window was about ninety minutes. Tad Doyle and Nabil Gharbieh use the moment to surface the AI dependencies most mid-market companies have not mapped, and what to do about them. This episode opens with a clip from Fareed Zakaria's GPS, then unpacks the fallout. When access to a tool can be cut overnight, trust in any single provider takes a hit, and people route around the gap. That is shadow AI, and it is a governance problem, not a personality flaw. Cut people off and they bring their own tools, which may include a model run by a company you would never have chosen. The dependency problem runs at every scale. Allied governments and companies are already favoring EU-based infrastructure over US cloud, because they cannot plan around arbitrary cutoffs. Operational systems that ran for years can stop with little notice. That is real risk for any organization that depends on a single provider, whether you are a national government or a fifty-person company. Then the hype-versus-real check. The headline that an AI penetrated nearly all classified government systems in hours is real, but the context got buried. It happened inside a controlled red team. Finding flaws is the point of red teaming. A kid at home on a chatbot is not breaching the NSA. Separating the scare from the signal is the whole job. So what should a small or mid-sized company actually do? Nabil keeps it to three moves. One approved tool to start, often Copilot if you live in Microsoft 365. A no-copy-paste rule that spells out what can and cannot go into AI, including which files are off limits. And one human owner, because most AI policies fail on ownership, not on wording. Push the policy out, train on it, and evolve from there. To plan for the uncertainty, answer three questions. What stops working tomorrow if the plug gets pulled today? Is there a second tool that can hot swap, or get you eighty percent of the way back? Can you run a week without it? Register the answers, and you are in a far safer place than most. Chapters 0:00  The story that got buried 0:41  The clip: ninety minutes to comply 1:28  What happened: the Mythos and Fable shutdown 3:20  Fareed's fix: a Federal Reserve for AI 4:00  Pull the plug, get shadow AI 5:35  Why some governments are moving off US cloud 6:53  Hype versus real: it was red teaming 7:45  Three steps to govern AI at a small company 9:15  The no-copy-paste rule, explained 10:38  Three questions to plan for the future 11:36  Closing thoughts Hosts: Tad Doyle and Nabil Gharbieh, Strategic Advisors with 25-plus years in IT strategy, infrastructure, and advisory services. Links Fareed Zakaria, GPS segment: https://www.youtube.com/watch?v=t7N7eZ68yFg Latest update after we posted the show: https://www.linkedin.com/pulse/anthropic-granted-approval-release-claude-mythos-i0ebe/ Disclaimer: The views shared here are personal opinions, not professional advice, and do not represent the position of our employers.

About

Nobody Told Me About IT is a weekly podcast. Hosts Tad Doyle and Nabil Gharbieh have frank, practical conversations about IT strategy, cybersecurity, budgeting, and technology leadership — for the business leaders who need to understand these topics but weren't trained for them. No jargon. No vendor pitch. Just the IT conversations your organization needs to be having. New episodes every Monday.