The AI Bubble in 2026: Everyone’s Right, and That’s Exactly the Problem
Is the AI bubble about to burst or just getting started? The smartest people in the room can’t agree, and the reason why tells you more than any prediction. In the same week this June, two things happened. Ray Dalio, the billionaire who built the world’s largest hedge fund, went on television and said the AI market is showing the signs of a bubble that will eventually burst. A few days later, the CEO of Hewlett Packard Enterprise looked at his order book, said “there is real demand,” and did something almost nobody does in June: he issued financial guidance for 2027. Not because he was nervous. Because he was that confident. One of them sees a cliff. The other sees a runway. They’re looking at the exact same industry. That’s the strange thing about the AI bubble in 2026. This isn’t a fight between people who understand the technology and people who don’t. It’s a fight between people who understand it equally well and still land on opposite conclusions. So before you pick a side, it’s worth understanding why both sides are, in their own way, completely right. First, what does “AI bubble” even mean? A bubble isn’t “a thing that is expensive.” A bubble is when the price of something detaches from the value it actually produces when people are buying not because of what it earns today, but because of what they’re convinced it will earn tomorrow. By that definition, the question for AI is brutally simple: Is the world spending money in line with what AI is actually delivering? Hold that question in your head, because the numbers are about to get uncomfortable. The case that the AI bubble is real Start with the gap. Gartner projects worldwide AI spending will hit roughly $2.5 trillion in 2026. To put that in perspective, that’s larger than the entire annual economic output of most countries on earth. Now look at what’s coming back the other way. OpenAI, the company that is the AI story for most people, is running at somewhere around $25 billion in annualised revenue and is reportedly on track to lose about $14 billion this year, nearly triple last year’s losses. The company has signed infrastructure commitments measured in the trillions, against revenue measured in the tens of billions. The math only closes if the future arrives exactly on schedule. Then there’s the most quietly devastating statistic of all. A widely-cited MIT study found that 95% of enterprises report zero measurable return on their generative-AI investments. Not “small returns.” Zero, measurable. Most of the companies that bought the dream haven’t been able to prove it paid off. This is the heart of the sceptics’ argument. As Goldman Sachs’ head of equity research, James Covello put it on the bank’s own podcast, it all comes down to one question: do the companies using AI actually make or save money? If they do, the technology fulfils its promise. If they don’t, the spending was a story we told ourselves. And then there’s the part that makes seasoned investors genuinely nervous: circular financing. Here’s the loop, stripped down. A chipmaker invests billions in an AI lab. The AI lab uses that money to buy chips and cloud capacity from the same chipmaker and its partners. The cloud provider then borrows more money to buy more chips. Money goes out one door and comes back in another, and at every step, somebody books it as “revenue” or “demand.” By 2026 estimates, more than $800 billion in deals are tangled up in arrangements like this, Nvidia, OpenAI, Oracle, AMD, Microsoft, all appearing on multiple sides of the same transactions. The danger isn’t that it’s illegal. It isn’t, and it isn’t even hidden; anyone can trace the deals. The danger is that it can manufacture the illusion of demand. When the companies selling the shovels are also funding the people digging, it gets very hard to tell how much of the gold rush is real. The economist Ruchir Sharma summed up the bear case with what he calls the “four O’s.” He argues AI is now flashing red on all four: overinvestment, overvaluation, over-ownership, and over-leverage. Wealth is concentrated in a tiny handful of stocks. The market’s price-to-earnings measures have pushed into territory last seen right before the dot-com crash. And after years of sitting on cash, Big Tech has started borrowing heavily to keep the spending going. No wonder Deutsche Bank described 2026 as the year “1999 meets 1990.” The case against the AI bubble And yet. The single most important word in this whole debate might be the one the HPE chief executive used: demand. Because while the headlines scream “bubble,” the people actually selling AI infrastructure are reporting the best quarters of their careers. Dell’s stock leapt more than 30% on a single earnings report. Cisco, HPE, Nvidia, and company after company are posting numbers that don’t look like a market running on fumes. They look like a market that genuinely can’t build fast enough. That’s the Bulls’ first point: this isn’t 1999, because in 1999, the revenue wasn’t there. Pets.com had a sock puppet and no profits. Today’s AI giants are, for the most part, real businesses with real customers writing real cheques. Their second point is about who’s paying. The dot-com bubble was inflated by speculative startups burning through borrowed money. A large share of today’s AI build-out is being funded by some of the most profitable companies in human history, out of their own pockets. A bubble funded by Microsoft’s cash flow is a very different animal from a bubble funded by a stranger’s credit card. And here’s the kicker that should make even the sceptics pause: the betting markets agree with the bulls. On Polymarket, where people put actual money behind their predictions, traders are pricing only around a 16% chance of the AI bubble bursting by the end of 2026. The crowd that’s literally wagering on a crash mostly doesn’t expect one.
iOS 27 Is Here, and Apple Finally Stopped Pretending
At WWDC 2026 today, Tim Cook’s final keynote before he hands the company to John Ternus in September, Apple unveiled iOS 27. The headline feature is a complete rebuild of Siri. But the most revealing detail isn’t what the new assistant does; it’s where its intelligence comes from. Apple’s new Siri is powered by Google’s Gemini. And for the questions it can’t answer itself, it can hand you off to ChatGPT or Claude. For a company that has long preferred to build its core technology in-house, that’s a notable strategic shift and a smart one. Here’s a clear look at what iOS 27 actually includes, and what the decisions behind it tell us about where Apple is heading. The headline: Siri, rebuilt After a difficult Apple Intelligence rollout in iOS 26, Apple has rebuilt its assistant from the ground up and rebranded it Siri AI. The changes are substantial: Here’s what actually changes for you: It’s a significant leap for an assistant who had fallen behind its rivals. The more interesting story is the strategy that made it possible. The strategy: distribution over models Under the hood, Siri AI is built on Google’s Gemini, following a deal the two companies struck earlier this year. The new “Search or Ask” panel can also route more demanding questions to third-party models ChatGPT, Claude, and Gemini, letting users choose which one they prefer. This is a meaningful change in approach for Apple, and the logic behind it is worth understanding. Rather than spend more years trying to build the single best AI model alone, Apple has positioned the iPhone as a neutral gateway to the best models available, whoever builds them. It’s a recognition that the competitive advantage may lie less in owning the smartest model and more in owning the device and the experience that billions of people reach for first. It also raises a fair question on privacy, given Apple’s strong public stance on the issue. The company says Siri history syncs through its Private Compute system rather than living on third-party servers, a detail worth watching as more details emerge and the feature reaches users. The quieter story: a focus on getting the basics right Beyond Siri, iOS 27 is being compared to Mac OS X Snow Leopard, the 2009 release remembered for adding a few new features and refining what already existed. After iOS 26’s bugs, that emphasis is welcome: For users, an update focused on reliability over novelty is often the most valuable kind. The features that matter day to day Release timeline and compatibility One thing to keep in mind: the new Siri AI may launch with a “beta” label and possibly a waitlist, mirroring how Apple introduced Apple Intelligence in 2024. Some features may roll out gradually rather than all at once. The takeaway iOS 27 tells two stories at the same time. One is a strategic pivot: rather than win the AI race alone, Apple has chosen to make the iPhone the best place to access whichever AI is strongest, its own, or a partner’s. The other is a return to fundamentals, with a release built around speed, stability, and reliability after a rocky year. Both point to a more pragmatic Apple, one focused less on doing everything itself and more on delivering the best overall experience to the user. For anyone who depends on their iPhone every day, that may prove to be the more important shift. Which iOS 27 change are you most interested in: the new Siri, or the focus on speed and battery life? Let us know. Read More Here
Why SpaceX’s $1.75 Trillion IPO Is the Biggest Bet in History
This week, a private company that builds rockets is about to become the most expensive market debut the world has ever seen. And if you only watch the launch footage, you’ll miss the actual story. On Wednesday, June 11, SpaceX is expected to price its shares. The following day, Thursday, June 12, it begins trading on the Nasdaq under the ticker SPCX. The plan: sell around 556 million shares at a fixed price of $135 each, raising roughly $75 billion and landing on a valuation near $1.75 trillion. To put that in human terms: the previous record holder for the largest IPO ever was Saudi Aramco, which raised about $29 billion back in 2019. SpaceX is aiming to more than double that. In one listing, Elon Musk’s space company would be worth somewhere in the neighbourhood of Meta, a level those companies needed decades on the public market to reach. But here’s the part nobody puts in the headline. The number that breaks the scale Investors aren’t lining up because they want a slice of the next moon landing. They’re lining up for something far less cinematic and far more profitable: The internet. SpaceX has quietly become two companies wearing one jumpsuit. One-half lights up the sky with Falcon 9 and Starship. The other half, Starlink, beams broadband down to more than 10 million subscribers across 155 countries, and it’s the part that actually makes money. Starlink posted over $1 billion in operating profit in the first quarter of 2026 alone and now accounts for the majority of SpaceX’s revenue. So when the market values SpaceX at $1.75 trillion, it isn’t paying for spectacle. It’s paying for a subscription business with a satellite dish on it. The rockets are the supply chain. The recurring internet bill is the product. That reframing matters because it changes what kind of company you’re actually buying. The catch: a company priced for perfection Not everyone is convinced the price tag adds up. At $135 a share, SpaceX would be valued at roughly 95 times its 2025 revenue of about $18.7 billion. For comparison, most large, profitable tech companies trade at a small fraction of that. Morningstar analysts went on record calling the company “significantly overvalued,” pinning their own estimate closer to $780 billion, less than half the IPO target, and suggesting patient investors may get cheaper entry points after the dust settles. Then there’s control. SpaceX is using a dual-class share structure: the public buys Class A shares, while Musk and insiders hold Class B shares carrying far more voting power. Musk reportedly isn’t selling a single share of his own. So you can own a piece of the upside without owning a meaningful say in the direction. It’s a familiar founder-led playbook. Alphabet, Meta and Snap all did versions of it, but it’s worth knowing before you wire any money. In short, this is a remarkable business priced as if everything goes right. Starship still burns cash. A large chunk of launch revenue leans on government contracts. And satellite broadband is about to get a lot more crowded. The bull case is genuinely exciting. The bear case is genuinely sober. Both are true at the same time, which is exactly what makes it interesting. The real engine isn’t the rocket, it’s repetition If you want to understand why investors trust SpaceX’s machine, look at what happened on June 7: a Falcon 9 booster flew for a record-breaking 35th time and landed again. That’s the whole thesis in one image. SpaceX didn’t win by building the flashiest rocket. It won by turning launches into something boring and repeatable: fly, land, refurbish, fly again until the cost of reaching orbit collapsed. Reusability is the quiet superpower. It’s the same logic behind cloud computing: the value isn’t in one heroic event, it’s in doing the unglamorous thing reliably, at scale, until it compounds. Starlink is the logic pointed at the planet’s connectivity gap. And that’s where this story stops being about a faraway billionaire and starts being about us. Why this story has a Nigerian postcode Here’s what often gets lost when this gets covered as American finance news: Nigeria is one of the places where Starlink’s promise is already real. When Starlink launched here in early 2023, Nigeria was the first African country to get it. It had fewer than 24,000 subscribers. By the end of 2025, it had climbed to roughly 92,000, making it the country’s second-largest internet service provider, behind only Spectranet. Analysts had openly predicted it could take the top spot by mid-2026. Today, just three providers, Spectranet, Starlink and FibreOne, control nearly 70% of Nigeria’s ISP market. Why such a rush? Because Nigerians have spent years paying for internet that buffers when it matters most. Starlink showed up offering reliable, high-speed connections in places where fibre never reached, rural towns, remote offices, anywhere terrestrial infrastructure gave up. Yes, it’s expensive: hardware runs in the region of ₦669,000 with monthly plans around ₦57,000–₦75,000. And demand was strong enough that orders had to be paused in major cities, including Lagos, Abuja and Port Harcourt. So the trillion-dollar number flashing across Wall Street this week is, in part, built on a Nigerian small-business owner deciding she’s done losing client calls to a dead connection. That’s not a metaphor. That’s a line item in the S-1. So… is it worth buying into? The honest answer: that depends entirely on what you believe and what you can afford to be wrong about, and it’s worth saying plainly that this is general information, not financial advice. A few things worth watching rather than reacting to: If you can’t buy pre-IPO shares, and most people can’t, the calmer move is to understand the theme rather than chase the ticker. The bigger picture Strip away the countdown clocks and the record-breaking valuation, and what’s happening this week is a quiet redefinition of what “infrastructure” means. For most of history, connecting a country meant digging trenches and laying cable.
