Five things you need to know about AI

AI's impact on jobs is real but still unreadable. Millions already use generative AI for everyday office tasks, yet hard data on employment effects remains almost nonexistent. Companies are still figuring out what this means internally. The scary stuff is no longer hypothetical. Deepfakes, chatbot-linked suicides, and AI-assisted military targeting have moved from dystopian fiction to documented reality. The harms are here; the guardrails largely aren't. Backlash is growing louder and more organized. Anti-AI protests, award controversies, data center activism, and even a Molotov cocktail thrown at Sam Altman's house signal that public frustration is hardening into something more serious. Science may be AI's most consequential frontier. Tools like Google DeepMind's Co-Scientist and AI capable of cracking unsolved math problems hint at genuine breakthroughs ahead—though researchers warn of narrowed inquiry and a coming flood of AI-generated "science slop." " data-chronoton-post-id="1138582" data-chronoton-expand-collapse="1" data-chronoton-analytics-enabled="1"> At SXSW London last week I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now. I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world , but I also veered off on a number of tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what’s going on in tech—and thus the economy—today. (I gave a talk with the same title at SXSW London last year with five different things you needed to know. A lot has happened since then!) So: This is how I’m thinking about AI midway through 2026. Let me know if you would pick different points! 1. Strictly speaking, I didn’t need to show up to give this talk. Tongue in cheek? Maybe. But generative AI tools have already become mundane, used by millions to automate everyday office tasks (including producing and delivering talks ). It’s no surprise that one of the biggest questions out there right now is what this all means for jobs . People are confused and scared. The frustrating answer is that despite the hype coming from the top about the potential for AI to join the workforce soon—and viral social media posts yelling that something big is happening—there is almost no data to say either way what kind of effect this technology will have on employment and the economy overall. That’s not to say it won’t have an impact, even a huge one, but it’s just too soon to tell. In theory, teams of agents working together toward common goals could become assembly lines for white-collar work, doing to offices this century what Henry Ford’s innovations did to factories in the 20th century. In theory. Because in order to know what will happen to jobs, we need to know what will happen inside the companies that create those jobs. But most companies are still figuring that out . 2. AI is getting scary (for real this time). There have been scary stories about AI for years—claims that it will kill us all or bring about the end of civilization. There’s still a loud crowd of doomers , but those scenarios remain dystopian science fiction. What’s happened instead is that many of the worst near-term, real-world fears have come true. Take deepfakes , AI-generated images or videos of people doing things they didn’t actually do. Deepfakes have been used to incite violence, swing votes, and sow distrust. Trump’s White House is among those creating and publishing fake images. Many deepfakes are also used to abuse women and girls. One study found that 98% of deepfakes are pornographic and 99% involve women. Another concern is the rise of dangerous and delusional relationships with chatbots. Many people turn to chatbots to seek private advice and to feel heard. But there are now multiple lawsuits against AI companies alleging that the technology encouraged or aided suicides and other forms of self-harm. AI is also being used in warfare in new and worrying ways . LLMs are now giving advice, not just being used for analysis. One US defense official told my colleague James O’Donnell that you could now give a military chatbot a list of targets and ask which one to hit first. Anyone who uses AI knows that its output needs to be reviewed carefully. In fact-paced, high-stress active conflict, the risk that corners get cut is high. 3. A lot of people really hate AI. I checked out an anti-AI protest in London earlier this year and found a very broad mix of complaints. Banners proclaiming the end times bounced along to chants of “Stop the slop! Stop the slop!” Protests are getting more organized and drawing larger crowds. There’s pushback from fans of films and video games, who object to the use of generative AI in their favorite titles. In one notable case, the acclaimed 2025 game Cla