Daily articles on what's actually happening in the world β geopolitics, business, finance, science β paired with SAT-style quizzes and an AI tutor.
Hedge funds aren't just guessing AI will reshape work β they're putting billions of dollars on the line, betting that the humans who answer your customer service calls are about to be replaced.
Accenture has 786,000 employees whose job is helping companies adopt new tech. So what happens when the new tech can do the helping itself β and do it for cheaper?
For 20 years, Google was the company that never needed your money. This week it asked Wall Street for $80 billion β and the reason reveals just how expensive the AI race has become.
Imagine typing 'woman in a red hat' into a search bar β and pulling up every camera that spotted her in the last 24 hours. That's China's new normal.
The world's most valuable company already won the data centre. Now Nvidia wants the chip inside your laptop β and it's coming for Apple, Intel, AMD and Qualcomm all at once.
Dozens of headlines claim AI is coming for white-collar work β but the entire field rests on a secret most readers miss: the verdicts are written by the AI models themselves, and they wildly disagree.
Everyone blames ChatGPT for entry-level jobs vanishing. But a new study of 243 million hires says the real culprit is something far less futuristic: working from home.
Amazon built a scoreboard to celebrate employees who used its AI tools the most. Workers promptly figured out that the fastest way to win was to waste the company's money.
Wall Street spent months treating software-as-a-service stocks like dying patients. Then Snowflake jumped 37% in a single day β and suddenly investors are wondering if they buried the wrong company.
Uber wants to be the single app for everything in your life. But buying Europe's biggest food-delivery company to get there might prove that ambition is actually a weakness.
Japan's amateur investors just doubled their trading in a year, piling into AI stocksβbut increasingly they're trading in the shadows, on venues regulators can barely see.
For a century, elite consultants sold one product: their time. Now AI can do an analyst's week in an afternoon β so McKinsey is racing to sell something far riskier instead: results.
SpaceX, OpenAI and Anthropic are sprinting toward the public markets at the same time β chasing the same prize, the same investors, and possibly the same kind of crash that followed the last two IPO frenzies.
A Florida utility just agreed to spend $420 billion buying its rival β not to sell more electricity to homes, but to feed the insatiable power appetite of AI data centers. That's the new logic of M&A.
Three private giants β SpaceX, OpenAI and Anthropic β are about to crash onto Wall Street under a brand-new rulebook that could turn one company's IPO into the most disruptive index event in modern history.
Almost every Fortune 500 company you've heard of β Amazon, JPMorgan, Mercedes-Benz β runs a secret engine room inside India. It's now bigger than India's entire IT exports industry was a decade ago.
For four years, US stocks have defied gravity not because investors kept buying β but because the supply of shares kept shrinking. That trick may finally be running out.
Move your AI startup's headquarters from Beijing to Singapore, sell it to Meta for $2bn, exit cleanly. That was the plan β until China killed it and exposed a loophole the entire tech world had been quietly using.
France wants to lead Europe's nuclear comeback with six giant new reactors β but its state-owned champion EDF is so bloated and political that critics call it 'a state within a state.'
India's economy has balanced on a single trick for twenty years: sell foreign software, buy foreign oil. A speculative research note argues AI is about to shatter both halves of that equation at once.
When missiles started flying between the US, Israel and Iran, global stocks should have cratered. Instead, two unlikely heroes β chipmakers and oil giants β added trillions in value.
Last year, 38 million Indian farmers got AI-powered monsoon forecasts that actually worked. So why is one of Africa's sharpest tech thinkers warning that AI won't be the magic shortcut everyone keeps promising?
The first wave of AI layoffs isn't hitting coders or radiologists β it's hitting the executive assistants, schedulers, and receptionists who keep offices running. And about 85% of them are women.
Between 2020 and 2022, a stainless-steel sports watch was the most reliable trade in finance β until it wasn't, and the wreckage tells us something uncomfortable about how modern bubbles actually form.
Nintendo just sold almost 20 million Switch 2 consoles in a year β and still had to apologize and raise prices. The villain isn't greed; it's a global memory-chip shortage.
For three years, AI hype has been all about Nvidia's GPUs. But suddenly, the unsexy chips and dusty software companies of 'Old IT' are roaring back β and Wall Street is scrambling to figure out why.
A Chinese AI lab that refused outside money for years is suddenly worth $45 billion β and the lead investor is the same state fund Beijing built to win the chip war.
Munekazu and Erin Tanikawa thought they bought a Tokyo-area dream apartment. Four months later, an investor consortium bought the parking lot below β to build a 52-metre data centre on it.
A β¬19bn Norwegian accounting-software giant was supposed to deliver London's biggest IPO in years. Then AI showed up β and Wall Street started doubting whether software companies have a future at all.
Imagine pirating millions of books β then telling a judge it's legal because you only stole them to teach a machine. That's roughly Meta's argument, and five major publishers just called the bluff.
When America's biggest crypto exchange announces it's cutting one in seven employees and replacing them with AI agents, you're either watching a productivity revolutionβor a CEO using a buzzword to dress up an old-fashioned downturn.
An AI lab worth potentially $900 billion just teamed up with the world's biggest private-equity firms β not to raise money, but to build a consulting business that could eat McKinsey's lunch.
The biggest banks on Earth are quietly running out of room on their balance sheets β not because of a crash, but because building artificial intelligence is devouring capital faster than they can recycle it.
China just blocked Meta from buying an AI startup that isn't even Chinese anymore β a $2bn shot across Silicon Valley's bow weeks before Trump and Xi sit down to talk.
Two hundred years ago, only 12% of adults could read β and as literacy spread, human brains physically rewired. AI may be the next rewiring, except it's happening at warp speed.
A 109-year-old Japanese company famous for high-tech toilets just became one of the year's hottest AI stocks β without making a single chatbot, GPU, or data center.
Everyone says AI will gut India's outsourcing industry. A contrarian analyst crunched the numbers and found the opposite β and what he found could reshape the entire global economy.
An AI model costing four cents per task is about to vaporize $2.85 billion in human labor β and the company selling that AI captures less than 1% of the value it destroys.
AI executives love talking about saving humanity from their own creations. But when profit collides with principle, capitalism has a 200-year track record β and humanity's safety usually loses.
Apple is worth $4 trillion, dominates global tech, and just handed its CEO job to a hardware veteran β right as artificial intelligence threatens to make hardware the least interesting part of the industry.
One in four new cars sold worldwide last year ran on batteries β and researchers now say the shift away from petrol has crossed a threshold that politics alone can no longer reverse.
Sending money from Mexico to the Philippines still takes a full day and passes through up to six banks β a startup thinks it can collapse that journey to minutes using digital dollars.
Imagine if every app on your phone was as disposable as a Shein top β built in an afternoon, worn for a season, then replaced without a second thought. That world is arriving now.
DeepSeek shocked the world by building a ChatGPT rival on a shoestring β but now it's raising $20 billion, not for compute or chips, but to stop its own engineers from leaving.
Imagine cheating on a test by secretly photographing every answer the smartest kid writes β then selling your knockoff version for a tenth of the price. That's what the White House just accused China of doing to American AI.