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The most interesting AI products right now are not the ones that stay inside a single format. The tools pulling ahead are the ones that can move across text, images, video, audio, files, screens, and live context without forcing you to break your workflow every five minutes. That is what makes multimodality feel important in practice: it is no longer a bonus feature, but a different way of working.
A few years ago, people treated AI assistants like novelty chatbots. You asked a question, got a paragraph back, and moved on. In 2026, that definition already feels outdated. The best assistants are no longer just “good at answers". They remember context, speak naturally, search the web, work across your files and apps, schedule recurring tasks, and in some cases take actions on your behalf. That is the real shift: the category is moving from chat interface to personal operating layer.
When you browse Twitter in 2026, you constantly come across the same phrase: "I've learned more in 30 days of working with ChatGPT than I have in 4 years of college".This sounds like the boast of another crypto expert. But behind this phrase lies a reality in which traditional education is losing out in speed to personalized learning using AI.The problem is not the availability of information — there is too much of it. The problem is that most people are drowning in endless training programs, paralyzed by perfect training maps, mistaking watching videos for real learning.
You're sitting in front of an empty document. The deadline is in two hours. Facebook has already rejected three options for "insufficient clarity of the terms". The fourth one sounds like an advertisement for an underground casino from the 90s: "Feel the excitement of victory!!!"
In early 2026, OpenAI's CEO of Applications, Fiji Simo, made a statement that would have sounded like science fiction just two years ago: "In a year, answering questions will be the least useful function of AI."
Just a few years ago, ChatGPT was a real revolution in AI development. You could ask a question, and it would answer it immediately. Fast, smart, convenient, and above all, practical in real life. But this is just a small part of a much larger story.
Everyone wants to be accurate in their predictions. Besides, no one wants to spend three hours analyzing available statistics before a game or event. ChatGPT or any other AI can solve this problem, but only if you know how to communicate with it and explain your work in detail.