50 AI Predictions for 2026 - Part 2

Today on the AI Daily Brief, part two of my 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 your sponsorship options, set us a note at sponsors@aidailybrief.ai. Alright. So yesterday, we did the first part of my AI predictions. And because it got so long, we had to split it into two. Today, we are jumping in in the competition section where the AI race is headed into 2026. For our next set of predictions, let's talk about competition. My first prediction is that I think it's gonna be very hard to shake Anthropic off its coding lead. They are incredibly focused on it. They have held that perceived lead for more than a year and a half, which is approximately a hundred years in AI time. And you can absolutely tell that an increasingly large number of developers are so comfortable with the cloud models that even when OpenAI or Google or in the future, Grok release something that is comparable or ahead on the benchmarks, it'll be very unlikely that they switch. Now that won't be universally true. There's still lots and lots of room, and so I think it makes sense for everyone else to compete for coding still. I just think it's gonna be hard to shake Anthropic off their lead. One specific prediction is that I think that this will lead ultimately to Microsoft doing a big deal with them, expanding that relationship even from the very nascent ways we started to see them get together this year. I think Microsoft will want to bring even more aggressively anthropics coding tools into their enterprise suite, and I wouldn't be surprised to see that happen in 2026. Now for OpenAI, I think their big challenge is going to be fragmented attention. How much should they focus on consumer usage versus enterprise usage versus research that gets them to AGI? We've recently gotten a bunch of reports from inside OpenAI that not everyone there is super happy with the allocation of resources and are worried that all of these consumer things like Sora two are side quests that are actually distracting them from fundamental AGI research. Certainly, OpenAI itself has talked about the difficulty of having to make hard decisions about where to allocate compute. I do not believe in 2026 that OpenAI is going to seed any of these things. However, I do think that there will likely be some recognition that where they are dominant is on consumer. To many people, ChatGPT still is the same as AI. These are synonymous terms. And even as Gemini has surged, ChatGPT still has a commanding lead. My …