Mortgage Tech Talks

This is a milestone episode of Mortgage Tech Talks. In this special 100th episode—and final episode of the year—I’m breaking down the best-performing Mortgage Tech Talks content of 2025 across podcasts, YouTube, Shorts, and Instagram. Instead of just replaying clips, this episode looks at what actually worked, why it worked, and what it says about where mortgage tech and AI are heading. We dig into the biggest themes from the year: AI as a tool (not a shortcut), platform-specific content performance, tech adoption, and the irreplaceable role of human trust. If you’re a mortgage broker, fintech professional, or just interested in how technology is reshaping the industry, this episode ties it all together. Thanks for being part of the journey to 100 episodes. ⏱️ Timestamps 00:00 – Episode 100 milestone + why this is a “Best Of” recap02:00 – Top podcast episode of the year: using ChatGPT as a thought partner05:45 – Best-performing YouTube video & lessons from the Mortgage Conference09:50 – Why short-form content performed best (Instagram & Reels)12:15 – AI broker assistants, where they help—and where humans still win  

In this episode, Tom Hall breaks down the hidden competition between major AI companies that most people don't see. Discover why programming has become the dominant use case for AI models—accounting for 50% of all API usage—and why Anthropic (Claude) is quietly dominating with 60% of this massive market. 📊 Key Insights: Token usage has grown 14x in the past year Programming went from 11% to 50% of all ChatGPT/Gemini usage in just 6 months Anthropic controls 30% of the entire AI market through programming dominance Google, OpenAI, and other competitors are playing catch-up 📌 Timestamps: 0:00 - Opening statement 0:28 - Introduction 1:38 - The problem: What's driving AI growth? 1:55 - How AI companies make money (subscriptions vs. API) 2:46 - Understanding tokens and APIs 4:19 - Shocking token usage data (500B → 7T) 5:29 - Analyzing prompt vs. completion growth 7:31 - Which use cases are driving growth? 8:32 - Programming reveals itself as the leader 11:38 - 50% of AI usage is programming 12:10 - Anthropic's surprising market dominance 13:35 - Market share breakdown 14:18 - The strategic choice for AI CEOs 15:00 - Implications for the next 2-3 years 16:11 - Bold predictions 17:30 - Closing

What if the biggest threat to mortgage brokers over the next decade isn’t AI replacing your job — but something far more subtle? In this episode of Mortgage Tech Talks, we break down a 4-step scenario that has already played out in other financial industries… and could reshape the mortgage landscape in the next 5–10 years if we’re not careful. This isn’t fear-mongering. It’s a realistic look at how technology adoption, lender expectations, and regulator pressure could quietly divide the industry into two branches — one that thrives, and one that slowly gets left behind. You’ll hear: The two “branches” brokers will fall into as AI becomes standard Why trust at scale could create a massive performance gap How lenders and regulators might tighten requirements What happened in the home & auto insurance industry (and why it matters now) The one thing brokers can control to prevent the mortgage channel from losing innovation If you care about the long-term health of this industry — and your place in it — this is a conversation you should hear. Timestamps 00:00 – Why the future of the broker channel may split into two branches01:14 – The real risk facing the industry (it’s not job loss)02:03 – Step 1: The new technology wave begins03:27 – Step 2: Tech adopters vs. non-adopters08:48 – Step 3: How lenders & regulators might elevate one branch13:18 – Step 4: What happens if non-adopters fall behind17:36 – The insurance industry example — and the warning it gives us19:00 – The silver lining and how brokers can protect innovation

Should mortgage brokers stick with ChatGPT — or is it time to explore the new AI tools that are suddenly outperforming it? In this episode of Mortgage Tech Talks, we break down whether brokers should consider switching to alternatives like Google Gemini 3, Grok 4.1, and Claude, all of which are now ranked above ChatGPT in real user preference tests. We cover what’s changed, why these new models matter, how the AI landscape is shifting, and what this means for your daily workflow as a mortgage professional. If you want to stay ahead of the curve and get the most out of AI in your business, this episode is worth your time. Timestamps 00:00 – Why brokers are questioning ChatGPT’s dominance01:26 – The major AI competitors you should know03:43 – How new models like Gemini and Grok are performing08:21 – The shocking ranking: ChatGPT drops to fourth14:48 – Lessons from past tech giants and what it means for AI today

In this episode, I break down a trend that caught me off guard at the Canadian Mortgage Conference — and honestly, I didn’t fully believe it until I dug into the numbers myself.Technology isn’t just supporting Canadian lenders… it’s becoming the core reason they’re getting acquired, merging, or expanding their reach. From the Neighborhood x Fisgard deal, to NSO acquiring CMS, to Alta West merging with Premier — the pattern is undeniable. And if you're a broker choosing lender partners or a lender trying to stay competitive, understanding this shift is critical.