Microsoft Wants One AI App to Replace Them All — And Kids Are Already Ahead of the Curve
Today’s AI news tells a story about who’s actually in control: companies racing to simplify their products, executives shuffling through revolving doors, and children who’ve figured out how to use these tools in ways adults haven’t quite caught up with yet. The common thread is adaptation — everyone, from tech giants to ten-year-olds, is still figuring out where AI fits. That tension makes today’s stories worth paying attention to.
Microsoft Is Merging Its AI Apps Into One
Microsoft is consolidating its separate personal and work Copilot apps — its AI assistant products — into a single unified application, according to The Verge. Right now, if you use Microsoft’s AI assistant for personal tasks and also rely on it at work, you’re juggling two different apps. That’s about to change.
Think of it like email. For years, people kept a personal Gmail tab open alongside a corporate Outlook window. Eventually, apps learned to handle multiple accounts in one place. Microsoft is making that same move with AI, pulling personal and professional contexts into a single interface rather than forcing users to context-switch constantly.
For everyday users, the practical upside is real. Fewer apps to manage means less friction. You could, in theory, ask one assistant to draft a work email and then immediately help you plan a weekend trip — without logging out and back in. Microsoft has signaled this is part of a broader push toward what it’s calling a “super app,” a single hub for AI-assisted tasks across your whole life.
Why this matters: This is less about features and more about habit-forming. Whichever AI assistant becomes the one you turn to automatically has enormous influence over how you work and live.
Combining different Copilot apps into a single unified app with personal and work account support.
OpenAI Has a New Revenue Chief — Its Third in Two Years
According to TechCrunch, OpenAI has reportedly hired Dali Rajic as its new chief revenue officer, the executive responsible for turning the company’s AI products into consistent income. Rajic previously led operations and sales at Wiz, the cybersecurity firm that made headlines when Google attempted a massive acquisition. His predecessor in the role lasted roughly nine months.
A chief revenue officer’s job is essentially to build the pipeline that connects a company’s product to paying customers. For OpenAI, that means enterprise contracts, API subscriptions — where developers pay to use OpenAI’s models in their own products — and consumer plans. Bringing in someone with a sales background from outside the AI industry is a deliberate choice: Rajic knows how to sell to large organizations, which is increasingly where OpenAI’s growth potential lies.
For people who use ChatGPT or any product built on OpenAI’s technology, leadership stability matters more than it might seem. Consistent revenue strategy means the company can invest in reliability and new features rather than constantly pivoting. The churn at the top does raise questions about internal alignment, though — three revenue chiefs in two years is unusual even for a fast-growing startup.
Why this matters: OpenAI is trying to grow into a durable business, not just a research lab. Who runs revenue tells you a lot about where the company thinks its future lies.
Dali Rajic previously led operations and sales at Wiz.
Kids Using AI: More Thoughtful Than You’d Think
MIT Technology Review sat down with children and asked them directly how they use AI tools — and what they found is more layered than the usual “kids are cheating on homework” narrative. Yes, some children use AI to shortcut schoolwork. Many, though, described using it to understand topics they were embarrassed to ask a teacher about, to brainstorm ideas, or to get feedback on creative projects.
Adults tend to project their own anxieties onto how children engage with new technology. The same conversation happened with calculators, search engines, and smartphones. What the research suggests is that kids are developing practical intuitions about AI’s limits — when to trust it, when it’s wrong — faster than formal education is keeping pace.
For parents and teachers, this matters. Treating AI as purely a cheating tool misses the more complicated reality. Children are forming habits around these tools right now, and the guidance — or lack of it — they receive in the next few years will shape how they use AI as adults.
Why this matters: The generation growing up with AI isn’t passive about it. How schools and parents respond to that reality will have long-term consequences.
Kids’ real experiences with AI are more nuanced than adults might expect.
Also Happening in AI
Google DeepMind quietly released three new model variants — Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber — continuing its pattern of incremental updates rather than splashy announcements. Databricks, a data and AI platform, closed a $5 billion funding round at a $190 billion valuation after a striking negotiation: the company wanted to raise $1 billion, investors pushed for $15 billion, and they met somewhere in the middle, per TechCrunch. On the creative side, The Verge published a close look at an AI-generated film and found that the most compelling moments were the ones humans made — a telling detail about where the technology actually stands. On the tools front, LangChain released version 1.5.0 of its OpenAI integration library with expanded model support, and ComfyUI — a popular image-generation interface — pushed out a small bug fix in version 0.33.1.
What to Watch
Microsoft’s “super app” ambition puts it in direct competition with Apple, Google, and increasingly OpenAI itself — all of whom want to be the default AI layer in your daily life. Watch whether consolidation actually improves the experience or just reduces user choice. And keep an eye on how schools respond to the MIT findings about children and AI: the institutions that move thoughtfully here, rather than reactively, will likely produce students far better prepared for whatever AI looks like in ten years.