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claudetools/projects/radio-show/episodes/2026-03-21-who-controls-your-tech/show-prep-expanded.md
azcomputerguru bdd070f055 Radio show prep: Expanded show notes for March 21 episode 
- Researched and expanded all 6 segments with additional detail
- Added 35+ source links throughout
- Expanded NVIDIA GTC coverage (Vera Rubin specs, Groq acquisition, $1T orders)
- Added White House AI Framework 7 pillars breakdown
- Detailed TELUS breach attack chain via Salesloft/Drift
- Expanded Right to Repair with Colorado HB24-1121 parts pairing ban
- Added GPT-5.4, LillyPod, Uber robotaxi details to bonus section

Machine: Mikes-MacBook-Air.local

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-03-21 17:36:40 -07:00

34 KiB
Raw Blame History

The Computer Guru Show - EXPANDED Show Prep

"Who's Really In Control?" - March 21, 2026

~90 minutes of content (6 segments + intro/outro across 2 hours with breaks)

Host: Mike Swanson Theme: Every major tech story this week comes back to one question: Who's really in control of your technology -- you, the companies, or the government?

Segment 1: "The Week That Was" (~12 min)

Theme: Set the table -- this was a massive week in tech

Opening

This was one of those rare weeks where every major story in tech connects to the same question. The White House dropped a national AI policy framework. NVIDIA held its annual GTC conference and basically declared itself the center of the AI universe. Apple quietly confirmed Google is going to power Siri's brain. A Canadian company lost a PETABYTE of data to hackers. And right to repair laws just kicked in for a quarter of Americans.

What do all of these have in common? They're all about control. Who controls the AI? Who controls the chips that run the AI? Who controls your phone? Who controls your data? And who controls whether you can fix your own stuff?

That's what today's show is about. Buckle up.

Quick Headlines Rundown

  • White House AI framework dropped YESTERDAY (March 20) -- 7 pillars, wants to preempt state laws
  • NVIDIA GTC this week -- Vera Rubin chips, $1 trillion in orders, Disney robots on stage
  • Apple + Google deal -- Siri will run on Google Gemini (1.2 trillion parameter model)
  • TELUS Digital breach -- 1 petabyte stolen by ShinyHunters, $65M ransom demanded
  • GPT-5.4 launched March 5 -- 1M token context, computer use built in, beats humans on OSWorld benchmark
  • Right to Repair -- now law in 6+ states, covering 26% of Americans

Transition

"Let's start at the top. The President of the United States just told us how he wants to regulate AI. And whether you love it or hate it, if you use any technology at all, this affects you."

Segment 2: "The Government Wants In" (~15 min)

Theme: White House AI Framework -- what it actually says and what it means for regular people

Key Points

What happened: The White House released a "National Policy Framework for Artificial Intelligence" on March 20 -- literally yesterday. This is the administration's blueprint for how Congress should regulate AI.

The 7 Pillars (Detailed):

1. Protecting Children and Empowering Parents

  • Eliminate child user data collection
  • Augment parental safety controls
  • Age verification requirements for AI services

2. Safeguarding and Strengthening American Communities

  • Combat AI-powered scams and fraud
  • Address deepfakes and synthetic media
  • Protect vulnerable populations

3. Respecting Intellectual Property Rights and Creators

  • KEY CONTROVERSY: The administration "believes that training of AI models on copyrighted material does not violate copyright laws"
  • Recommends judiciary ultimately decide what's legal
  • No mandatory licensing mechanism proposed
  • Creators are furious -- this essentially greenlights unlimited scraping

4. Preventing Censorship and Protecting Free Speech

  • AI cannot be used for political censorship
  • Aimed at platform content moderation
  • Balancing act between safety and speech

5. Enabling Innovation and Ensuring American AI Dominance

  • Data centers allowed to generate own power on-site
  • "Regulatory sandboxes" for AI application testing
  • Streamlined permitting for AI infrastructure
  • Concern: Utility ratepayers shouldn't be burdened with costs

6. Educating Americans and Developing an AI-ready Workforce

  • Tax breaks for AI adoption in small businesses
  • Worker retraining programs
  • Community college AI curriculum funding

7. Establishing a Federal Policy Framework Preempting Cumbersome State Laws

  • THE BIG ONE: Override state AI laws with single national "light touch" standard
  • Explicitly calls for "preempting state AI laws that impose undue burdens"
  • Administration wants this codified into law "this year"

The Real Story -- Preemption (EXPANDED):

State laws at risk:

  • Washington state just passed 5 AI bills (chatbot safety for kids, AI in health insurance decisions, deepfake rules, digital likeness protection)
  • Colorado has the broadest digital repair rights in the country as of January
  • California's proposed AI safety regulations
  • Illinois biometric data protections

The playbook:

  • This mirrors what happened with data privacy -- states act first, then industry pushes for weaker federal law to override them
  • The framework says Congress should NOT create any new federal rulemaking body
  • "Sector-specific" approach means existing regulators handle AI in their domains
  • Translation: Less coordination, potentially more loopholes

Why this matters to listeners:

  • If your state passed strong AI protections, they could be overridden
  • The copyright stance means your creative work can be scraped by AI without compensation
  • Data centers generating their own power could affect grid reliability
  • "Light touch regulation" historically means companies regulate themselves
  • No new enforcement body = existing agencies stretched thin

Listener Q&A Prep

"Is this good or bad?" It's complicated. Protecting kids and fighting scams -- good. Preempting stronger state laws -- debatable. Saying AI can scrape copyrighted content freely -- creators are furious. The "light touch" approach works until it doesn't.

"Will this actually become law?" The White House wants it "this year" but that's ambitious. Probably not before midterms in November. But it signals where the administration wants to go. And it gives AI companies a talking point: "Don't regulate us at the state level, the feds are handling it."

Sources:

Transition

"So the government is trying to figure out how to regulate AI. Meanwhile, one company is trying to make sure that no matter what AI you use, it runs on THEIR chips..."

Segment 3: "Jensen Huang's Trillion-Dollar Bet" (~15 min)

Theme: NVIDIA GTC and the question of who controls the AI supply chain

Key Points

What happened at GTC (March 16-19): Jensen Huang delivered his keynote in San Jose and basically laid out NVIDIA's vision for owning every layer of the AI stack.

The Big Announcements (EXPANDED):

Vera Rubin Platform -- The New AI Supercomputer

  • Seven chip types in one system: Vera CPUs, Rubin GPUs, NVLink 6 switches, ConnectX-9 NICs, BlueField 4 DPUs, Spectrum-X CPO NICs, and Groq 3 LPUs
  • 3.6 exaflops of compute power
  • 260 terabytes per second of all-to-all NVLink bandwidth
  • 88-core Vera CPU, liquid-cooled, 256 chips per rack
  • Microsoft Azure already has first Vera Rubin rack operational
  • Huang calls it "the engine supercharging the era of AI"

$1 Trillion in Purchase Orders

  • Combined Blackwell and Vera Rubin orders through 2027
  • Doubled from the $500 billion projection at GTC 2025
  • Huang: "From where I stand today, the company sees through 2027 at least $1 trillion in high-confidence demand"
  • Let that number sink in -- one trillion dollars in GPU orders

Groq 3 LPU -- The $20 Billion Acquisition Pays Off

  • First chip from Groq, acquired for $20 billion in December 2025
  • LPU = Language Processing Unit (optimized for inference)
  • 256 LPUs per rack, sits beside Vera Rubin system
  • 35x improvement in tokens per watt vs Rubin GPUs alone
  • Shipping Q3 2026
  • Huang: "We united two processors of extreme differences -- one for high throughput, one for low latency"

Future Roadmap Revealed

  • Feynman (2028): 3D die stacking, custom HBM memory, TSMC's A16 1.6nm node -- first 1nm-class chip
  • Kyber Architecture: 144 GPUs in vertical compute trays, lower latency, higher density
  • Vera Rubin Ultra (2027): Will use Kyber design

Uber Autonomous Fleet Partnership

  • 28 cities across 4 continents by 2028
  • Phase 1 (Early 2027): Los Angeles, San Francisco Bay Area with supervised vehicles
  • Phase 2 (2028): Full driverless Level 4 operations
  • NVIDIA DRIVE Hyperion platform + new Alpamayo AI model
  • Alpamayo uses "chain-of-thought reasoning" for complex scenarios
  • Stellantis providing at least 5,000 DRIVE AV-equipped vehicles
  • Uber managing fleets including charging, maintenance, customer support
  • Jensen: "The ChatGPT moment for physical AI has arrived"
  • Uber currently aiming for driverless rides in 15 cities by end of 2026

NemoClaw -- Agent Building Platform

  • Reference stack for building AI agents
  • Huang's pitch: "It builds you an AI agent"
  • Part of the full-stack play

Disney's Olaf Walked on Stage

  • Fully autonomous robot from Boston Dynamics partnership
  • Showcasing "physical AI" in entertainment
  • The future of theme parks: AI characters that improvise

The Control Angle (EXPANDED):

Why this matters:

  • NVIDIA doesn't just make GPUs anymore
  • They're building: chips, software stack, agent frameworks, AND autonomous vehicle platforms
  • Every major AI model -- GPT-5.4, Claude, Gemini -- trains on NVIDIA hardware
  • Now they own both training (Rubin) AND inference (Groq) chips
  • Jensen Huang is arguably the most powerful person in tech -- not because he makes the AI, but because nothing works without his chips

The supply chain reality:

  • Eli Lilly just built a supercomputer with 1,016 NVIDIA Blackwell GPUs
    • Called "LillyPod" -- most powerful AI factory wholly owned by a pharma company
    • Delivers 9,000+ petaflops of AI performance
    • Built in just 4 months
    • Testing billions of molecule ideas for drug discovery
    • $1 billion NVIDIA/Lilly co-innovation lab in San Francisco
  • When one company controls the picks and shovels of an entire technological revolution, that's enormous power

For Regular People:

  • The cost of AI is going up, not down -- NVIDIA's pricing power is a big reason
  • When your AI assistant responds slowly or your company can't afford better AI tools, part of that traces back to GPU supply and pricing
  • This is like if one company made every engine for every car, truck, and bus on the road
  • The trillion-dollar demand means supply constraints will continue

Sources:

Transition

"So NVIDIA controls the hardware. But here's where it gets really interesting for iPhone users. Apple just basically admitted they can't build their own AI brain. So who did they call? Google."

Segment 4: "Apple Gives Google the Keys to Siri" (~15 min)

Theme: The Apple-Google AI deal and what it means when you don't control your own product's intelligence

Key Points

What happened: Apple and Google announced a multi-year collaboration in January 2026. The next generation of Apple's AI will be based on Google's Gemini models -- specifically a custom 1.2 trillion parameter model built just for Apple. A "more personalized Siri" is coming with iOS 26.4, expected this spring (March or April).

Deal Details (EXPANDED):

The money:

  • Reports indicate Apple is paying Google around $1 billion for access to Gemini technology
  • Multi-year agreement, not just a one-time deal
  • Google is building a custom model specifically for Apple's needs

The technology:

  • 1.2 trillion parameters -- far beyond what Apple's own models are capable of
  • New capabilities: better understanding of personal context, on-screen awareness, deeper per-app controls
  • Integration timeline delayed multiple times before landing on iOS 26.4

Why This is a Big Deal (EXPANDED):

The brand contradiction:

  • Apple has spent YEARS talking about doing everything in-house -- "designed in California" is their whole brand
  • They tried to build their own AI. It wasn't good enough.
  • Now the company that built its reputation on privacy is handing your Siri conversations to Google's AI infrastructure

The bidding war:

  • Apple was in talks with BOTH Anthropic (Claude) and OpenAI (ChatGPT)
  • Anthropic wanted "several billion dollars annually over multiple years" -- talks stalled in August
  • OpenAI relationship complicated by Jony Ive hardware partnership and Apple device poaching
  • Google won with better terms and technology

The Privacy Question (EXPANDED):

  • Apple's pitch has always been: "What happens on your iPhone stays on your iPhone"
  • Google's entire business model is built on knowing everything about you
  • Apple says privacy is maintained:
    • Gemini model runs on Apple's Private Cloud Compute servers
    • User data remains isolated from Google's infrastructure
    • Apple controls the deployment environment
  • BUT: The underlying intelligence -- the thing that understands your question and generates an answer -- is Google technology
  • The model was trained on Google's data, using Google's methods
  • How comfortable should you be with that?

The Business Angle (EXPANDED):

  • While Microsoft, Google, Meta, and Amazon are pouring tens of billions into building AI infrastructure, Apple is taking a different approach
  • Apple is turning AI into revenue through features, subscriptions, and device upgrades
  • They're letting Google spend the billions on training models, then licensing the result
  • Smart business? Maybe. But it means Apple users are now dependent on Google's AI in a way they never were before

OpenAI's Loss:

  • OpenAI was reportedly also bidding for this deal
  • Google winning means Gemini gets access to Apple's massive install base -- over a billion active devices
  • This reshapes the entire AI competitive landscape
  • ChatGPT integration still exists but is now secondary to Gemini

For Listeners:

  • If you have an iPhone, your Siri is about to get a LOT smarter
  • But the brain behind it will be Google's, not Apple's
  • Ask yourself: when you chose Apple for privacy, did you sign up for Google processing your AI requests?
  • Your Apple device is increasingly a Google-powered device

Sources:

Transition

"So we've got the government trying to regulate AI, NVIDIA controlling the chips, and Google powering Apple's AI. But all of that assumes your data is safe in the first place. And this next story is a reminder that it very much is not."

Segment 5: "A Petabyte of Your Data, Gone" (~15 min)

Theme: The TELUS Digital breach and the state of cybersecurity in 2026

Key Points

What happened: TELUS Digital -- a major outsourcing company that handles customer service for big brands -- confirmed on March 12 that hackers stole nearly 1 PETABYTE of data. That's roughly 1,000 terabytes. For context, the entire Library of Congress digitized collection is about 20 petabytes. This is an absolutely staggering amount of data.

Attack Details (EXPANDED):

Who did it:

  • ShinyHunters, a well-known hacking group
  • Linked to "The Com" -- an international cybercrime network the FBI describes as a "primarily English-speaking online ecosystem involved in a range of criminal activity"
  • In October 2025 alone, linked to breaches affecting 39+ companies, exposing nearly ONE BILLION records

The ransom:

  • ShinyHunters demanded $65 million
  • TELUS reportedly refusing to pay or even communicate with them
  • Data likely to be leaked or sold

How They Got In (THIS IS SCARY):

  1. It started with a DIFFERENT breach -- the Salesloft/Drift breach from 2025
  2. Hackers stole OAuth tokens from the Drift chatbot integration
  3. Those tokens were used to access customer data in Salesforce
  4. ShinyHunters found Google Cloud Platform credentials in that stolen data
  5. They used a tool called TruffleHog to search for more passwords
  6. Those passwords let them pivot into TELUS systems
  7. From there, they accessed BigQuery instance, downloaded it, found MORE credentials
  8. One breach led to another breach

The lesson: Your data's security is only as strong as the weakest company in the chain.

What Was Stolen:

  • Customer data from TELUS Digital's BPO (business process outsourcing) clients
  • Source code
  • FBI background check data (yes, really)
  • Financial information
  • Voice recordings of customer service calls
  • Salesforce data for multiple companies
  • Agent performance ratings
  • Customer support tickets
  • Names of 28 well-known companies allegedly impacted

The "Control" Angle (EXPANDED):

  • When you call customer service for Company X, and they outsource to TELUS Digital, you didn't choose to give TELUS your data
  • But TELUS had your voice recordings, your financial info, potentially your background check
  • You had zero control over that decision and zero visibility into their security
  • This is the hidden supply chain of your personal data
  • You trusted Company X, but Company X trusted TELUS, and TELUS got breached

Other Breaches This Month:

  • Navia Benefit Solutions -- 2.7 million people's health benefit data exposed
  • Kaplan North America -- 192,000 individuals' personal info compromised
  • Stryker Medical Devices -- Iran-linked hackers used Microsoft Intune to remotely wipe thousands of employee phones
  • 7,500 Magento websites compromised in mass defacement campaign (nearly 15,000 hostnames globally affected)

Critical Vulnerability Alerts:

SharePoint CVE-2026-20963:

  • CVSS 9.8/10 severity (critical)
  • Patched in January 2026, still being actively exploited
  • Remote code execution via deserialization of untrusted data
  • CISA deadline: March 21, 2026 (TODAY!)
  • If your workplace uses SharePoint and hasn't patched: sound the alarm

Magento/Adobe Commerce - PolyShell:

  • Affects ALL Magento/Adobe Commerce installations
  • Unauthenticated code execution
  • Mass exploitation ongoing

Cisco Zero-Day:

  • Cisco Secure Firewall Management Center vulnerability
  • Being exploited in active ransomware attacks

Practical Advice for Listeners:

  1. You can't control who companies share your data with, but you CAN limit what you give them
  2. Use unique passwords everywhere -- credential stuffing from one breach causes the next
  3. If a company you do business with has a breach, don't wait for their notification. Change passwords immediately.
  4. Freeze your credit if you haven't already. It's free and reversible.
  5. Voice recordings being stolen means voice-clone scams are going to get more convincing
  6. Consider what info you give to customer service -- it may be stored by an outsourcer you've never heard of

Sources:

Transition

"So companies can't protect your data, the government is just now figuring out how to regulate AI, and the tech giants are consolidating control over your devices. Is there any good news? Actually, yes. For the first time, a quarter of Americans now have the legal right to fix their own stuff."

Segment 6: "Taking Back Control" (~15 min)

Theme: Right to Repair, digital ownership, and subscription fatigue -- the fight to actually own your technology

Key Points

Right to Repair milestone: As of January 1, 2026, more than 25% of Americans live in a state with Right to Repair protections. By fall (Connecticut in July, Texas in September), that rises to over 35%.

Colorado Leads the Way (EXPANDED):

HB24-1121 -- The strongest law in the nation:

  • Broadest digital repair rights in the nation as of January 2026
  • Manufacturers MUST provide independent repair shops AND consumers with tools, parts, and documentation
  • Physical tools: Can charge a fee
  • Software tools: Must be provided FREE

Key new protection -- Parts Pairing Ban: The law prohibits manufacturers from using parts pairing in a manner that:

  • Prevents an independent repair provider or owner from installing replacement parts
  • Reduces the functionality or performance of the device
  • Causes the device to display misleading alerts or warnings about unidentified parts

What is parts pairing? Manufacturer's practice of using software to identify component parts through a unique identifier. When you replace a screen, the software checks if it's an "authorized" part and may disable features if it's not -- even if the part works perfectly.

Exceptions (reasonable limits):

  • Parts pairing CAN still be used to record/catalog repair history
  • Standalone biometric components for authentication are exempt
  • Doesn't require releasing source code
  • Doesn't require disabling anti-theft security measures

Why this matters:

  • Colorado joins Oregon as one of only TWO states to ban parts pairing
  • This is the first right to repair bill that Google, Apple, AND independent repair shops all agreed on
  • Sets the model for other states

The Software Lock Problem (EXPANDED):

  • You buy a tractor from John Deere -- but John Deere's software controls whether it runs
  • You buy a phone from Apple -- but replacing a cracked screen might disable Face ID
  • You buy a smart refrigerator -- but the manufacturer can brick it through a software update
  • Tesla can remotely disable features on used cars
  • "Ownership" increasingly means "you paid for it but we still control it"

Hardware-as-a-Service (HaaS) -- The Growing Threat (EXPANDED):

The market is exploding:

  • HaaS market projected to grow from $4.36 billion (2026) to $18.07 billion (2034)
  • 19.46% compound annual growth rate
  • Everything becoming a subscription: printers, security systems, smart home devices

The risk:

  • When the subscription ends, physically working devices become unusable
  • Company goes bankrupt? Your device might stop working.
  • We're heading toward a world where you don't own anything -- you just rent access

Subscription Fatigue is REAL (EXPANDED):

The numbers:

  • Average American household now has 7+ subscription services
  • Surveys show people UNDERESTIMATE their spending: thought they paid ~$86/month, actually paying ~$219/month
  • Add hardware subscriptions on top of streaming, software, cloud storage, and apps

The rebellion:

  • "Subscription fatigue" is driving a counter-movement toward ownership
  • Growing market for "buy once, own forever" products
  • Rise of "modular subscriptions" -- pay only for what you use
  • Hybrid models emerging: "lifetime access + optional membership"
  • Example: Peloton shifted from pure subscription to offering one-time workout purchases

The Thread That Ties It All Together:

  • The White House wants to preempt state repair and digital rights laws
  • Companies like Apple are moving MORE of your phone's intelligence to the cloud (Google's cloud)
  • Data breaches prove that the more companies hold, the more they lose
  • Right to Repair says: if I paid for it, I should be able to fix it, modify it, and control it

What Listeners Can Do:

  1. Support Right to Repair legislation in your state (Arizona doesn't have a law yet!)
  2. When buying tech, ask: "Can I fix this myself? Will it work without an internet connection? What happens if the company goes under?"
  3. Consider devices and software that respect ownership: Linux, Framework laptops, Fairphone, local-first software
  4. Push back on "subscription-only" products. Vote with your wallet.
  5. Back up your data locally -- don't depend entirely on cloud services you don't control
  6. Check your subscriptions -- you're probably paying for things you forgot about

Sources:

Transition to close

"And that really is the theme of everything we talked about today..."

Closing Segment (~3 min)

Theme: Bring it all home

Wrap-up

We covered a lot of ground today, but it all came back to one question: who's in control?

The government is trying to take control of AI regulation -- but in a way that might actually give companies MORE freedom, not less. NVIDIA controls the chips that make AI possible, and they just tightened their grip with a trillion dollars in orders. Apple handed control of Siri's brain to Google. Hackers proved -- again -- that the companies we trust with our data can't always control who else gets it.

But here's the thing -- and this is what I want you to take away today: you still have choices. You can choose what data you share. You can support laws that protect your right to repair and own your devices. You can ask hard questions before buying into the next subscription service.

Technology is incredible. I wouldn't be sitting behind this microphone if I didn't believe that. But incredible technology in someone else's control is just a prettier cage. The goal should always be: technology that empowers YOU.

That's the show. I'm Mike Swanson, the Computer Guru. Thanks for listening. We'll see you next time.

Bonus: Caller/Segment Fillers (EXPANDED)

If segments run short or you get calls, here are quick-hit stories to fill:

1. Eli Lilly's AI Supercomputer -- LillyPod

  • 1,016 NVIDIA Blackwell Ultra GPUs
  • Called "LillyPod" -- most powerful AI factory wholly owned by a pharma company
  • 9,000+ petaflops of AI performance
  • Built in just 4 months in Indianapolis
  • Testing BILLIONS of molecule ideas for drug discovery
  • $1 billion NVIDIA/Lilly co-innovation lab opening in San Francisco
  • Goal: Cut drug development from 10 years to 5
  • Question for listeners: Is AI-designed medicine something you'd trust?

2. Uber-NVIDIA Robotaxi Partnership

  • 28 cities across 4 continents by 2028
  • Starting LA and SF in early 2027
  • New "Alpamayo" AI model uses chain-of-thought reasoning
  • Stellantis providing 5,000+ vehicles
  • Uber aiming for 15 cities with driverless rides by end of 2026
  • Jensen Huang: "The ChatGPT moment for physical AI has arrived"

3. GPT-5.4 Launch (March 5)

  • 1 million token context window (750,000 words -- 7 Harry Potter books!)
  • First AI model to beat humans on OSWorld benchmark (75% vs 72.4%)
  • Native computer use built in
  • 33% fewer errors in individual claims vs GPT-5.2
  • Tool search reduces token usage by 47%
  • GPT-5.2 Thinking retiring June 5, 2026

4. Hyundai + Boston Dynamics Robots

  • "AI+Robotics" roadmap for logistics and personal assistance
  • Your next delivery might come from a robot dog
  • Integration with Uber's autonomous platform

5. Tennis-Playing Humanoid Robot

  • Galbot's Unitree G1 trained on 5 hours of data
  • 96% forehand success rate
  • Question: When does AI start competing in sports?

6. Disney's Robot Olaf at GTC

  • Walked on stage, fully autonomous
  • The future of theme parks is AI characters that improvise
  • Boston Dynamics partnership

7. Critical Vulnerabilities to Mention

  • SharePoint CVE-2026-20963: 9.8/10 severity, deadline TODAY (March 21)
  • GNU Telnet CVE-2026-32746: 9.8/10 severity, "If you're still using telnet, please stop"
  • Magento PolyShell: Affects ALL Adobe Commerce, unauthenticated code execution

8. Claude Gets Memory

  • Anthropic rolled out persistent memory for Claude in early March
  • Your AI assistant now remembers your preferences across conversations
  • Question: Convenient or creepy?

All Research Sources

Segment 2: White House AI Framework

Segment 3: NVIDIA GTC

Segment 4: Apple-Google AI Deal

Segment 5: TELUS Breach & Cybersecurity

Segment 6: Right to Repair & Digital Ownership

Bonus Content

Prep completed: March 20, 2026 Show date: March 21, 2026 Runtime target: ~90 minutes of content across 2-hour broadcast

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