Xbox is putting unusual pressure on its own console business, and a new Xbox Wire post gives players a clear reason to watch for an Xbox price hike.

Microsoft says storage and memory prices are climbing fast, while Xbox can’t currently make as many consoles as players want to buy. It also says the business needs a new hardware model and new partnerships as it remains committed to Helix.

Microsoft hasn’t announced a price increase. Still, the post lays out a cost problem that can eventually reach shoppers, especially when supply is already tight and the company is questioning the old console model.

Why is Xbox hardware under pressure

“While the entire industry is facing a components crisis, we believe we have been impacted more greatly than many of our peers due to the choices we made over the last half decade,” says the post. The price it paid for console storage parts was already more than twice as high in February as it was last fall. Those costs have doubled again since then, and planning for the 2027 holiday season points to another major increase.

Storage isn’t the only problem. Microsoft says memory costs are following a similar path, and the broader industry is dealing with a component crunch.

What could change for buyers

Higher console prices are only one possible outcome. Microsoft could also reduce subsidies, change storage options, adjust bundles, lean on partner-built hardware, or push more players toward PC, mobile, and streaming.

The subsidy line adds pressure to that list. Xbox says that, excluding Activision Blizzard King, it spent more than $20 billion over five years on content, platform work, and hardware subsidy, while annual revenue declined by nearly half a billion dollars over the same period. That makes aggressive console pricing harder to defend.

When should buyers pay attention

The 2027 holiday season is the clearest timing marker in the Xbox Wire post, but Microsoft doesn’t name specific products, prices, regions, or launch plans. It also says it’ll look at partnerships and possible M&A to improve its position across hardware, PC, mobile, and streaming.

For now, buyers should treat this as an early warning, not confirmation. An Xbox price hike isn’t official, but with storage costs potentially rising far beyond 2024 levels and supply already tight, anyone planning a console upgrade should watch for pricing, bundle, and availability changes before the next major Xbox hardware push.

For once, SpaceX is ahead of schedule: Elon Musk’s space and AI conglomerate officially confirmed that it has raised $75 billion from the sale of its shares to its underwriters, who are set to begin marketing the company on the Nasdaq stock exchange Friday.

SpaceX priced its 555.6 million shares at $135 each, the company said in an update on its website. That makes SpaceX officially the largest IPO in history, easily eclipsing the $24.9 billion in funds raised by Saudi Aramco during its 2019 public markets debut. At this price, the deal also looks set to make Musk the world’s first trillionaire.

The company, officially known as Space Exploration Technologies Corp., will trade under the SPCX ticker symbol.

As active trading gets underway tomorrow, SpaceX’s share price may sink or rise. But anecdotal reports suggest that big institutional investors and individual buyers are lining up to purchase shares in the 24-year-old technology company.

If the sale is as oversubscribed as the talkative bankers make it out to be, they have an option to bring an additional 83.3 million shares to market, which would raise another $11 billion at the company’s opening price.

Hyperliquid, a crypto betting market that attempts to offer synthetic exposure to SpaceX stock, currently prices the shares at $167, suggesting that market participants expect a classic 20% IPO pop on the first day of trading.

In the longer term, there are big open questions about how SpaceX will be able to justify its eye-popping valuation. The company’s outstanding engineering projects, from the world’s largest reusable rocket to a new American chip fab, fill up a daunting to-do list.

This story is developing …

TL;DR

Enterprise AI bills are tripling despite a 98% drop in per-token prices, as agentic tools drive consumption 18.6x higher per developer. The Linux Foundation is launching the Tokenomics Foundation to bring cost discipline to AI spending.

Uber blew through its entire 2026 AI coding budget by April. Microsoft revoked its developers’ Claude Code licences six months after enabling them. One company reportedly ran up a $500 million Claude bill in a single month after forgetting to set usage limits. A Priceline employee told TechCrunch that a routine Cursor contract renewal came back four to five times more expensive.

The pattern is the same everywhere. Per-token prices have collapsed, but the push for autonomous AI agents has sent consumption through the roof. Companies that gorged themselves on all-you-can-eat subscriptions in early 2025 are now scrambling to understand where the money went, and whether any of it produced a return.

The paradox in numbers

GPT-4-equivalent performance now costs roughly $0.40 per million tokens, down from $20 per million in late 2022. That is a 98% reduction. Yet enterprise AI bills have risen by an estimated 320%, according to multiple industry analyses. The average enterprise AI budget has grown from $1.2 million per year in 2024 to $7 million in 2026.

The culprit is volume. Agentic AI tools released since November 2025, including Anthropic’s Claude Opus 4.5, OpenAI’s GPT-5.1, and Google’s Gemini 3 Pro, have multiplied token consumption per task. A simple linear workflow in 2023 cost about $0.04 per interaction. An orchestrated agentic system in 2026 costs roughly $1.20, about 30 times more. Individual engineers at Microsoft were reportedly spending between $500 and $2,000 a month on tokens before the licences were pulled.

Nicholas Arcolano, head of research at engineering management platform Jellyfish, told TechCrunch that per-developer consumption has risen roughly 18.6 times in nine months. Engineers who used the most tokens were about twice as productive as lighter users, but they spent 10 times the tokens to get there. “Whether extreme spend pays off comes down to the ultimate business value of shipped code, which most companies still can’t measure,” Arcolano said.

From tokenmaxxing to guardrails

“Six months ago, I would have a conversation with a customer and it would be all about ‘What can it do? Is it good enough?’” Alexander Embiricos, OpenAI’s head of enterprise, told TechCrunch. “Now the conversations are about, ‘We’re spending so much. What visibility do you have? What token controls do you have?’”

J.R. Storment, executive director of the FinOps Foundation, described the shift bluntly. “In April and May, I started hearing from companies: ‘Oh my god, we are 3x over our entire 2026 token budget and it’s only April.’ The whole conversation shifted from tokenmaxxing and ‘go fast’ to ‘we need guardrails, how do we control this?’”

Priceline’s senior director of IT finance, Chris Reed, drew a comparison to the telecom billing era. “It’s like the crack-cocaine epidemic. They let you try it to get you hooked, and now you’re kind of beholden to it.” The company has begun placing token limits on certain groups. Reed said he is already seeing discrepancies between vendor-reported usage and Priceline’s internal data.

The Tokenomics Foundation

It is against this backdrop that the Linux Foundation this week unveiled plans for the Tokenomics Foundation, a new standards body aiming to bring the same cost discipline to AI tokens that FinOps brought to cloud spending.

The Foundation plans to build a canonical definition of “tokenomics,” open standards for AI token usage and billing, and new metrics including cost-per-intelligence and tokens-per-watt. A formal launch is planned for July. Nishant Gupta, chief availability officer at Salesforce, said in a statement that “token economics is fundamentally more abstract and opaque than anything we’ve managed at this scale before.”

The challenge is enormous. “Tracking cloud costs is a hundreds-of-millions-of-rows-a-month data problem,” Storment said. “Tracking token costs is a trillions-of-rows-a-month data problem.”

A market forms around the problem

Startups and established vendors are racing to fill the gap. Pay-i tracks and optimises AI spending. Paid lets developers bill based on actual value rather than subscription fees. Jellyfish, Waydev, and Faros AI provide agent monitoring to prove the ROI of developer tools. Ramp has moved into AI spend management. Datadog and New Relic have added token-level observability.

Model routing is emerging as the primary cost lever. Factory, an enterprise AI coding startup, launched a model router this week that automatically picks the cheapest adequate model for each task. Vitaly Gordon, CEO of Faros AI, said frontier labs are already doing this internally. “The financial report for how much you spend on Anthropic, even if you call the Opus model, some of the spend will be on Sonnet or Haiku, because they are smart enough to do it,” he said.

Goldman Sachs projects global token usage will multiply 24 times by 2030. The companies already over budget need solutions now, and the Tokenomics Foundation’s first deliverable is still months away. As Gordon put it: “Maybe we created a steam engine, but we still haven’t figured out the assembly line.”