Skip to content
Ep 873: The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear (Replay) artwork

Ep 873: The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear (Replay)

Everyday AI Podcast – An AI and ChatGPT Podcast

October 1, 2026

The next 12 months of AI leaked. Kinda. For the past 90ish days, we've been quietly collecting evidence of what's next. 1,030 saved posts. 90 Podcasts. Countless conversations. Every model drop, every leak, every quiet product update the big labs hoped you'd scroll past. Then we connected the dots.

Speakers Jordan Wilson

TopicsTechnologyBusinessEntrepreneurship

Jordan Wilson (0:00)

Welcome to the Everyday AI Podcast. My name is Jordan Wilson, and for the past three and a half years, we've put out more than 800 episodes. Yet, one of the most common questions I get, I didn't really have an answer for. Where do I start on the Everyday AI Podcast? And that's why we started the Start Here series. And with the fall now back in full swing, the Everyday AI Podcast is going back to school and playing back the entire Start Here series from front to back. We've hit pause on our normal Monday to Friday programming to run back our most popular series ever for the next 30 days. We made the Start Here series for beginners and AI champions alike. So whether you're just trying to get a grasp on large language models or grappling with the best coding harness for multi-agentic workflows, the Start Here series covers it all. Plain language, no jargon and easy to follow along each day. So make sure to subscribe to the podcast and check back each day for new insights, day by day. The series is a culmination of spending more than 10,000 hours covering generative AI over the past three and a half years. So you don't want to miss a single episode of the Start Here series. Let's get into it. Welcome to the Everyday AI Podcast. My name is Jordan Wilson and for the past three and a half years, we've put out more than 800 episodes. Yet, one of the most common questions I get, I didn't really have an answer for. Where do I start on the Everyday AI Podcast? That's why we started the Start Here series. With fall now back in full swing, the Everyday AI Podcast is going back to school and playing back the entire Start Here series from front to back. We've hit pause on our normal Monday to Friday programming to run back our most popular series ever for the next 30 days. We made the Start Here series for beginners and AI champions alike. So whether you're just trying to get a grasp on large language models or grappling with the best coding harness for multi-agentic workflows, the Start Here series covers it all. Plain language, no jargon, and easy to follow along each day. So make sure to subscribe to the podcast and check back each day for new insights, day by day. The series is a culmination of spending more than 10,000 hours covering generative AI over the past three and a half years. So you don't want to miss a single episode of the Start Here series. Let's get into it.

This could randomly be one of the most important shows I've ever recorded. Why? Well, I'm laying out the AI answers for your company for the entire year right here. Let me explain. Usually in December or January, I put on my AI predictions hat and tell you what's ahead. For the past three years, I've done a pretty okay job in these prediction shows at telling you what's next. But the pace of AI is much different now. I mean, measurably, AI models are literally coming out about two to three times faster today than they were just nine months ago. So we can't wait until another four months in December or January to give you the roadmap ahead. So with the school year starting and with this upcoming Start Here series, we're about to restart from the beginning. I thought I'd just give you the answers today. Not the syllabus, not the take home test, just the answers. So 19 quick points for you and your team to focus on. Whatever the sector, whatever point you're at in your career, whatever type of work that you use AI for. I think Today Show can be your answer sheet for the whole year. So you and your company are focusing on what's next, not what already happened. Let's get into it. If you're new here, welcome to Everyday AI. My name is Jordan Wilson, and well, we do this every day. It's your daily, unedited, unscripted, livestream podcast and free daily newsletter helping business leaders like you and me not just keep up with what's happening in the AI world because it's too much for anyone human. But I help you get ahead to know what's coming so you can grow your company and your career. So it starts here, but make sure you go to our website at youreverydayai.com. Sign up for the free daily newsletter. We will be recapping today's show and a whole lot more. So as a reminder, we are taking a kind of break in our normal programming. So since it is that back to school time and all the kids are going back to school, we're all going to be doing some learning together on Everyday AI. So our start here series show that we kicked off earlier this year, we've been doing one or two shows a week and we have 30 of them. And they're pretty amazing and they're some of our most popular shows ever. So we're going to be running them all back, the entire series starting Monday with the very first episode. So yeah, a little break from our normal Monday to Friday schedule. But I guarantee you if you just stick with the series from volume one, listen all the way to volume 30, whether you listen to one, some or none of them, you're going to know more about AI than like 99% of the other people at your company. So the series cuts through the jargon, cuts through the fluff, whether you're a beginner, you're around AI all the time, just it's simple. No computer science degree required, but class starts Monday, don't be late. All right, but let's now get into it and talk about those people. 19

42 more minutes of transcript below

Thousands of transcripts fetched by people building searchable podcast archives

Fetch the whole transcript

The demo key returns a sample episode in full, no card needed:

request
curl -H "x-api-key: pt_demo" \
  https://spoken.md/transcripts/1000651996090

Markdown with the speakers named, for your notes, your knowledge base, or anything that makes HTTP calls.

From $0.10 per transcript. No subscription. Credits never expire. Prices exclude VAT, added at checkout for EU customers. Not what you expected? Email us within 14 days with 20 or fewer credits used and we refund the pack in full.

Using your own key:

request
curl -H "x-api-key: YOUR_KEY" \
  https://spoken.md/transcripts/1000792490316