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This video is from the ‘AI with Kyle Live Stream’

First aired: 21 January 2026

Summary: I spent an hour and a half walking through Greg Eisenberg's playbook for making $10 million rebuilding mobile apps with AI, and honestly, the timing couldn't be better. The basic idea is brilliantly simple: find apps that people are already paying for but absolutely hate (think those dodgy remote control apps with 50 million downloads and reviews screaming about intrusive ads), then use Claude Code to rebuild them properly. The technical barrier that used to require hiring a dev team or finding a co-founder has basically evaporated. I demonstrated this myself last week when I got so annoyed trying to copy a URL to my Android TV that I built my own app in 15 minutes out of spite.

The whole session covers the practical steps—using tools like Appify and FoxData instead of expensive options like Sensor Tower, finding apps with high revenue but terrible reviews, and actually building the thing with vibe coding tools. I also touched on the elephant in the room: this is genuinely exciting for entrepreneurs but absolutely terrifying for traditional developers. There's a wonderful piece by Alberta Tech comparing it to vibe violinists suddenly being able to play beautiful music without formal training. The guide itself is going in tomorrow's newsletter with all the resources, alternative tools, and the full breakdown of Greg's method.

Watch full edited live stream: https://youtu.be/6EJWLDfiOcs

—— Time Stamps ——

0:00 Intro: Greg Eisenberg's $10M Mobile App Playbook

—— More Useful Resources ——

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This video is from the ‘AI with Kyle Live Stream’ First aired: 20 January 2026

Summary: OpenAI finally pulled the trigger on what we all knew was coming—ads in ChatGPT. They've hired advertising execs, they're gearing up for a potentially $750 billion IPO, and frankly, they need the revenue. The interesting bit is how they're rolling it out: free and ChatGPT Go tiers get ads (yes, even if you're paying for Go), whilst Plus, Pro, and Enterprise users remain ad-free for now. They're being very careful with the messaging, lots of "user trust" and "transparency" talk, which tells me they know this is a delicate dance. The thing that amuses me is their claim that ads won't "influence" responses—that's literally what adverts do. They influence. Just because the text doesn't change doesn't mean a strategically placed ad isn't doing its job.

The broader point here is that OpenAI is becoming what everyone becomes: an advertising company. Google's 60-70% ads, Meta's 99% ads—they're not tech companies first, they're ad platforms that happen to do clever tech things. With nearly a billion users, OpenAI can't ignore that revenue stream, especially when they're trying to justify valuations that would make this one of the largest IPOs in history. On a completely different note, we're also seeing absurdly easy app development now—I literally rebuilt a £3/month app in an hour using Claude Code. The barrier isn't building anymore, it's marketing and distribution, which is both exciting and terrifying depending on which side of the equation you're on.

Watch full edited live stream: https://youtu.be/QgcRlp2aaqs

—— Time Stamps ——

0:00 OpenAI Adds Ads to ChatGPT - Everything You Need to Know

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This video is from the ‘AI with Kyle Live Stream’

First aired: 16 January 2026

Summary: Just landed back in the UK and immediately dove into what might be Google's most underrated AI product: NotebookLM. Honestly, it's baffling how few people know about this thing. It's completely free, works brilliantly for learning or teaching any subject, and here's the kicker—it actually generates accurate presentations with proper text in images, something that was basically impossible six months ago. The secret is it works exclusively from your own curated sources rather than just pulling from the internet like ChatGPT or Claude, which means you get focused, reliable outputs instead of generic AI slop. I walked through the whole workflow: adding sources, using the chat feature, generating study guides, and creating those surprisingly good presentations using Google's Imagen 3.

We also took a bit of a tangent into the broader Google AI ecosystem because someone asked about learning to code for free. Google AI Studio is genuinely excellent for this—you can build apps, experiment with their latest models like Gemini 2.0, and they've just released some translation models that would be perfect for language learning apps. Yes, the really powerful stuff like Claude Code costs $100-200 monthly, but if you're building something charitable or educational, all the major AI companies have grant programs. The whole Google suite is surprisingly robust, even if they do have a habit of killing products off (RIP Google Reader, still not over it).

Watch full edited live stream: https://youtu.be/GgOF-hF76gk

—— Time Stamps ——

00:00 Introduction: The Best Free AI Tool Nobody Uses

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This video is from the ‘AI with Kyle Live Stream’

First aired: 14 January 2026

Summary: My post about vibe coding absolutely exploded yesterday—we're talking 300,000 views across Instagram and TikTok, and a lot of people are genuinely upset about it. I wanted to take some time to properly explain what vibe coding actually is and why it's touching such a nerve with developers. The term was coined by Andrej Karpathy, one of the co-creators of ChatGPT, and it's essentially this new way of building software where you just... vibe with AI tools like Claude Code and Cursor, describing what you want in natural language rather than actually writing code yourself. You don't read the diffs anymore, you accept everything, and when something breaks you just paste the error message back in with no comment. It's wild, it's powerful, and it's terrifying if you've spent 20 years learning to code properly.

I shared this brilliant piece from Alberta Tech that uses the perfect metaphor—imagine training your whole life to be a violinist, then 700 people walk in off the street claiming they're "vibe violinists" who can barely hold the instrument. Then one day, horrifyingly, you hear one of them play something beautiful. That's the existential dread developers are feeling right now. It's perfectly reasonable to be upset when AI tools threaten to automate your entire career, especially when the barrier to entry has collapsed so dramatically. Anthropic just released Claude Code yesterday, and honestly, if you can afford the $200/month plan and you've got ideas you want to build, it's probably the best investment you can make right now. The future is coming whether we like it or not, and coding might just be the canary in the coal mine for how AI disrupts every other industry.

Watch full edited live stream: https://youtu.be/9CRuw9MLxiM

—— Time Stamps ——

0:00 Intro: Vibe Coding Has Hit a Nerve

—— More Useful Resources ——

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This video is from the ‘AI with Kyle Live Stream’

First aired: 13 January 2026

Summary: Apple just announced they're partnering with Google to power the next generation of Siri with Gemini models, and honestly, it's wild. These are two massive competitors—Apple with iOS, Google with Android—and they've historically been at each other's throats. But Apple's basically admitted defeat here, handing over the foundation of their AI to Google because their own attempts (Apple Intelligence, those dodgy AirPod translations, the lackluster Genmoji) have been absolutely rubbish. Steve Jobs would be furious. This goes against everything Apple stood for—the closed ecosystem, the walled garden, building everything in-house. For years, Apple fans like myself kept saying "just wait, they're working on something big," but we never saw the massive data center investments or GPU spending you'd expect. This partnership is the final nail in the coffin. Apple missed the boat on AI, and now they're asking their biggest competitor to bail them out.

The deal means future Apple Intelligence features and Siri will be powered by Google's Gemini models, though Apple insists everything will still run on-device with their privacy standards intact. Which is fine, but let's be honest—Chat GPT has 900 million users, so clearly most people don't actually care that much about privacy. The real question is whether Apple will neuter Gemini the way Microsoft neutered ChatGPT with Copilot, adding so many guardrails it becomes useless. Time will tell. Also covered Claude's new co-work feature that makes Claude Code accessible to non-technical people, which could be bad news for companies like Manus but brilliant if you've been intimidated by coding tools. Plus some thoughts on actually preparing yourself for the AI future rather than just panicking about it.

Watch full edited live stream: https://youtu.be/nqEPpStZ9Bk

—— Time Stamps ——

0:00 Intro - Apple Partners with Google for Siri AI

1:38 Apple-Google Partnership Announced - What This Deal Really Means

3:01 Why Steve Jobs Would Be Rolling In His Grave

4:28 Apple's Failed AI Products - Intelligence, AirPods Translation, Genmoji

5:54 Do People Actually Care About Privacy? ChatGPT's 900 Million Users Say No

6:42 Microsoft Copilot's Big Problem - Why It's Neutered

8:34 Why Apple, Microsoft and Amazon Are Losing the AI Battle

9:36 Microsoft's AI Strategy Problem

11:31 Legacy Tech Companies vs New AI Startups

12:21 Q&A: Will Gemini Be Part of Apple Subscription?

13:08 How to Fix Broken Code in Lovable - Vibe Coding Tips

16:08 Claude Code - Why It's the Best Coding Tool (Even xAI Uses It)

17:21 NEW: Claude Cowork Announced - Claude Code for Non-Technical People

18:32 What Cowork Can Do - Browser Access, Google Docs, File Creation

20:03 Claude Max $200/Month - Is It Worth It?

22:28 Google Engineer Shocked - Claude Code Solved 1 Year Problem in 1 Hour

24:25 Reality Check: 99% of Companies Still Can't Set Up Gmail Filters

27:13 Cowork Was Built in 1.5 WEEKS - The World Is Changing Fast

28:05 Bad News for Manus - Meta's $50B Acquisition at Risk

28:50 Beijing Investigating Manus-Meta Deal - China Tightens AI Control

30:14 David Shapiro: How to Prepare for AI Job Loss

30:51 High Agency Move #1: Consider Relocating (Why I'm Moving to Cyprus)

33:16 High Agency Move #2: Save Money and Build a Financial Buffer

34:56 Jobs That Will Survive AI #1: The Attention Economy

37:17 Jobs That Will Survive AI #2: The Experience Economy

38:30 Jobs That Will Survive AI #3: The Authenticity Economy

39:46 Jobs That Will Survive AI #4: The Meaning Economy

42:07 Free AI Readiness Course - Get Ready in 5 Days

43:28 Free Resources to Learn AI Beyond ChatGPT

44:37 AI Cannon - Technical AI Fundamentals (Karpathy, Transformers, Papers)

45:54 Nate B Jones Recommendation - Best AI Substack

47:35 How Old Is AI? 70 Years of History

48:24 Outro - Next Live Wednesday

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Find everything else at https://aiwithkyle.com/

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This video is from the ‘AI with Kyle Live Stream’

First aired: 12 January 2026

Summary: Anthropic's had enough of everyone profiting off Claude Code being the best coding agent out there, and they've started pulling access from competitors and third-party tools. The drama kicked off when they blocked services like Open Code from letting users connect their $200/month Claude subscriptions to access the API—which is a massive bargain compared to paying per token through the official API, which could run into thousands. It's a classic case of "we've got the best product, so we're taking our ball and going home," and whilst it's caused some upset in the developer community, you can't really blame them for protecting their advantage.

The absolute highlight though is that Elon Musk's xAI team—creators of Grok—got caught red-handed using Claude Code internally instead of their own AI. Elon's been banging on for months about how Grok is the best coding model, but turns out his own engineers don't even use it. Their co-founder had to send out a memo basically saying "yeah, we're screwed on productivity now, we need to build our own tools." Meanwhile, OpenAI jumped in with a very convenient "we'd never restrict access like Claude" statement, which is easy to say when you're not on top. The power dynamics in AI are shifting fast, and Anthropic's clearly feeling confident enough to flex their muscles.

Watch full edited live stream: https://youtu.be/B2Sj_vA8_6A

—— Time Stamps ——

0:00 Anthropic Blocks Competitors from Claude Code

6:42 OpenAI Responds: "We're Not Like Claude"

8:12 Q&A: ChatGPT News Updates

8:45 Manus AI: Edit AI Slides Like Magic

11:17 Launch Lemonade: AI Agents for Everyone

14:08 Why Charities Fear AI: The PhD Problem

16:24 Viewer Showcase: No-Code Disability App

16:59 Shopify CEO Builds MRI Viewer with Claude Code

19:33 Building an AI Public Speaking Coach

20:07 ChatGPT Health: Medical Data in One Place

21:47 The AI Canon: Best Free Learning Resources

25:34 ChatGPT Helped Diagnose MS

25:42 AI CFO Tools: Sell to Enterprises, Not SMEs

27:14 Linus Torvalds is Now Vibe Coding

31:10 AI Mountain Rescue: Drones Save Lives

32:56 Q&A: How to Build AI Agents

35:36 Wrap Up & Schedule

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This video is from the ‘AI with Kyle Live Stream’

First aired: 9 January 2026

Summary: Alright, so instead of the usual AI news roundup, I've put together something a bit different today—a proper learning roadmap for 2026. Basically answered the question that came up in my webinar: how do you actually learn this stuff well enough to feel confident talking about it? I've curated a bunch of resources starting with the fun stuff like Casually Explained and Veritasium, then moving into Three Blue One Brown's neural networks series (which is brilliant but definitely requires your full attention on a treadmill or something). The key thing is you don't need to understand the maths to use AI, but if you're teaching it or just want to separate the possible from the impossible, knowing the basics is absolutely crucial.

The whole guide is up on my website now with all the links, videos, and books I recommend. I've also been banging on about Notebook LM again because it's genuinely transformative—you can feed it any YouTube video and have it create a podcast explaining the concepts back to you. It's how I learn now. Oh, and we got into a bit of a discussion about the "messy middle" of AI disruption too. Even in the best-case utopian scenario, the next couple decades are going to be chaotic for a lot of people, which is why I'm focused on getting a million people AI-ready rather than just telling them not to worry about it.

Watch full edited live stream: https://youtu.be/xJRVJAE7L7g

—— Time Stamps ——

00:00 Introduction - Teaching AI for $2,000/Hour

00:30 You Don't Need to Know How AI Works (But It Helps)

01:37 AI Mastery Roadmap Overview

02:34 Casually Explained - The Fun Introduction

02:56 Exurb1a - Philosophical AI Content

03:16 3Blue1Brown Neural Network Deep Dive

05:32 NotebookLM - Your AI Learning Companion

08:13 Andrej Karpathy's Trilogy - The Main Course

09:55 Best AI Books That Won't Go Out of Date

11:09 DeepLearning.ai - Free Courses That Actually Work

13:15 The 8 Levels of AI Mastery

14:46 AI Canon - The Complete Research Library

16:38 Staying Current - Finding Signal in the Noise

18:27 Daily AI News Sources You Can Trust

19:19 Quick Summary - Your Learning Path

21:18 How to Start Teaching AI Workshops

22:56 My 3-Year AI Journey

24:16 Even ChatGPT's Creator Feels Behind

25:24 You're in the Top 1% Just by Watching This

26:00 The Messy Middle - Why AI Disruption Hurts Now

27:23 My Mission - Getting 1 Million People AI Ready

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Find everything else at https://aiwithkyle.com/

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This video is from the ‘AI with Kyle Live Stream’

First aired: 8 January 2026

Summary: OpenAI just dropped ChatGPT Health, and I reckon a lot of health tech startups are having a rather unpleasant morning. Essentially, it's a dedicated space inside ChatGPT where you can dump all your health data—Apple Health, blood tests, your genome, the lot—and use it as a proper health assistant. The clever bit isn't just the product itself, it's the lock-in strategy. With 900 million users and about 30-40% already using it for health queries, this creates a proper moat. Once you've uploaded years of medical data, switching to another AI becomes an absolute faff. Plus, they've somehow got this past their lawyers, which is impressive given how dicey health data can be if anything goes sideways.

Meanwhile, Utah's become the first state to let AI renew prescriptions without a doctor involved, and the numbers are genuinely mad. The AI matches human doctors 99.2% of the time, but here's the kicker—when there's a discrepancy, the AI is actually making the better decision 36% of the time versus doctors being better only 9% of the time. That's sort of game over for pharmacists doing repeat prescriptions. I also spent some time showing off Claude Code projects, including this slightly bonkers genome visualization I built after some soju. The point being, the barriers to starting a business are essentially zero now—it's all about distribution and actually having the bottle to just build the thing.

Watch full edited live stream: https://youtu.be/OEGsDICh-Lw

—— Time Stamps ——

00:00 Introduction - Claude Code Projects & 2026 Business Opportunities

00:27 ChatGPT Health Announced - OpenAI's New Medical Data Play

01:59 Why This Matters - Privacy Risks & Legal Challenges

02:24 The Real Strategy - ChatGPT Health as a User Lock-In Moat

04:33 Utah First State to Allow AI Medical Prescriptions

05:04 AI Gets Malpractice Insurance - What This Means for Doctors

06:21 Shocking Data - AI Outperforms Doctors 36% of the Time

08:17 Q&A Session Begins

09:33 Will AI Take Your Job? The Honest Answer About Degrees & Careers

14:43 The "Moving Goalposts" Pattern - Why Coding Is Just the Beginning

18:18 Q&A - AI Workshop Kit Details & Course Structure

21:58 Live Build - Subscription Cancellation Tool in 5 Minutes

28:21 Genome Art Project - Turning Your DNA Into Wall Art

30:44 Webinar Announcement & How to Make $2,000/Hour Teaching AI

—— More Useful Resources ——

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This video is from the ‘AI with Kyle Live Stream’

First aired: 7 January 2026

Summary: Today I'm doing something a bit different—giving a book report on "Co-Intelligence" by Ethan Mollick, one of the very few AI books I actually recommend people read. Most AI books age terribly because they were written before ChatGPT changed everything, but Mollick's book came out after GPT-3 dropped, so it focuses less on specific technologies and more on the mental models we need for thinking about AI as a whole. It's genuinely useful stuff that hasn't gone stale, which is rare in this space.

The key concepts I break down include the "jagged frontier"—why AI can be superhuman at one task and surprisingly rubbish at a similar one—and Mollick's four rules for working with AI: always invite it to the table, remain a human in the loop, treat it like a person (but define what kind), and assume this is the worst AI you'll ever use. That last one's crucial because people try AI once, get a bad result, and write it off forever. But these models are improving every single month, so what seems impossible today will probably be trivial in six months. We're all figuring this out as we go along, and anyone claiming to be an expert is either lying or deluded.

Watch full edited live stream: https://youtu.be/yX_Bfrvq9zQ

—— Time Stamps ——

00:00 Introduction: Co-Intelligence by Ethan Mollick

01:33 Why GPT-3 Was a Wake-Up Call

03:00 The Jagged Frontier: Why People Think AI is Rubbish

04:32 AI Can Solve Advanced Math But Can't Count Letters

06:48 Thinking of AI as Alien Intelligence

07:56 The Centaur Model: Splitting Tasks Between Human & AI

10:00 The Cyborg Model: Full Integration with AI

11:39 The Four Rules of Co-Intelligence

13:08 The Deloitte Scandal: Why Humans Must Check AI Work

15:18 Rule 3: Give AI a Role Using the RISEN Framework

16:36 Rule 4: This is the Worst AI Will Ever Be

18:08 Even ChatGPT's Co-Creator Feels Overwhelmed

19:46 Book Recommendation & Free Newsletter

20:54 Free AI Business Webinar Announcement

21:34 Q&A: Why Being an AI Generalist is Healthy

22:07 Wrap Up & Subscribe

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This video is from the ‘AI with Kyle News and Updates Live Stream’ First aired: 6 January 2026

Summary: I spent this morning talking about something that's been making a steady stream of income over the last few years - teaching companies how to use AI without looking like complete idiots. The catalyst for all this? Deloitte managed to embarrass themselves twice in 2025, charging the Australian government $440K for an AI-generated report full of hallucinations and made-up academics, then doing the exact same thing in Canada. These aren't small mistakes - they're bringing the entire consulting industry into question because nobody bothered to train their staff properly. The most I've been paid for this work is $4K for one hour, which is pretty mental when you think about it.

The opportunity here is massive because there's this huge gap between what staff are doing and what companies know about. MIT found that 90% of employees are using AI at work, but only 40% of companies have actually provided training. That extra 50% are just winging it with their own ChatGPT accounts - what IT departments call "shadow IT" - and it's causing absolute chaos. The thing is, if you're watching someone talk about AI on a live stream, you're already miles ahead of the people who desperately need this help. Companies are genuinely panicking about this right now, and they'll pay well for someone to sort it out properly.

I’m running a few live webinars walking you through the opportunity and how to get started: https://aiwithkyle.com/ai-workshop-series/webinar

If you’ve missed the dates, but still interested in becoming an AI trainer, head here: https://aiwithkyle.com/ai-workshop-kit

Watch full edited live stream: https://youtu.be/8yJHxkBjj-s

—— Time Stamps ——

0:00 How I Make $4,000/Hour Teaching AI to Businesses

1:24 Deloitte's $440K AI Disaster - They Did It Twice

3:09 Shadow IT Crisis: 90% Using AI, Only 40% Trained

5:13 Free Webinar Announcement

6:06 The AI Capability Overhang

8:30 You Don't Need to Be an AI Expert

9:37 Why the PhD Trainer Failed: The KPMG Story

11:25 Finding Your AI Niche

13:06 Why Workshops Beat Social Media and Consulting

15:08 The 60-Minute Workshop Framework

18:30 What Employers Actually Want: Safety Training

19:02 Workshops as a Reusable Asset

19:20 Overcoming Fear of Public Speaking

20:58 Q&A: Online vs In-Person Workshops

23:45 Course and Resources

23:56 Q&A: Lovable for E-commerce? (SEO Warning)

26:27 Q&A: Cheapest Way to Build a Website with AI

27:44 Advice for AI Beginners

28:31 Q&A: Pre-recorded Workshops?

30:17 AI Workshop Kit Launch Jan 12th

31:15 Q&A: Beta Testing Apps + PostHog

33:27 Q&A: Async Options for Time Zones

35:39 Notebook LM Demo: Free AI Presentations

37:20 Q&A: Gamma vs Notebook LM

38:17 Wrap Up

—— More Useful Resources ——

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