50 AI Predictions for 2026 - Part 1

Today, we are casually talking through 50 AI predictions for 2026. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. Alright, friends. Quick announcements before we dive in. First of all, thank you to today's sponsors, KPMG, Blitsy, Superintelligent, and robots and pencils. To get an ad free version of the show, go to patreon.com/aidailybrief, or you can subscribe on Apple Podcasts. To learn about sponsoring the show, visit aidailybrief.ai or send us a note @sponsorsataidailybrief.ai. And lastly, if you would like to learn more about our recently released AI ROI benchmarking survey or our forthcoming AI DB intelligence service, which includes original research, information, benchmarks, check it out at aidbintel.com. Alright, friends. The time has come to shift from looking backward to looking forward, and I'm thrilled to spend the next two days looking at AI predictions for 2026. Now originally, I had intended this to be a single episode, but when I got to an hour and forty seven minutes of raw recording, it was quite clear that two episodes was on the docket. For the visuals, I dumped my outline into both Genspark and Timanus to help produce this. And rather than picking one or the other, I decided I'm just gonna go back and forth between them, a, so you can get a feel for how these various tools perform, but, b, to keep it a little bit more visually interesting as this is a particularly talky type of episode. I've organized the predictions into about seven categories, models and capabilities, vibe coding, enterprises plus vibe coding, enterprise trends competition, market, and politics. Now number three enterprises and vibe coding probably could have just been in one or the other, but they were distinct enough that I decided to keep them independent. Let's kick off with models and capabilities. Broadly speaking, I think that we are going to stay roughly on the meter line. Now this is obviously a Genspark made up chart, and the meter line I'm talking about is this one. This is the chart that measures the length of a task in human hours that different models can complete at fifty and eighty percent success rates. This line has been fairly consistent for some time now. For a while, we saw capabilities doubling every seven months, and more recently, it's jumped up to closer to four and a half months. You can see here the difference between the seven month line and the four month line on both the 50 and the 80% reliability threshold. Now it is at least theoretically possible that we see recursively self improving AI, but I think it's far more likely that the new NVIDIA architecture, which is coming online in the form of Blackwell chips and then eventually Hopper chips, keeps us on something like this trajectory even as we max out capabilities and move them beyond human capacity in a lot of different areas. Next up, …