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'We're so used to relying on technology.' Hospitals, airlines, agency operations around New England hampered by software outage.
Blue screen of death on display (David Ryan/Getty Images)

When in doubt, blame Europe: Microsoft pins fault for CrowdStrike fiasco on the EU

J'accuse!

If you were unfortunate enough to spend last weekend in an airport, your travel plans were probably wrecked by a widespread “blue screen of death” mishap that shut down 8.5 million Windows-powered devices, causing US airlines to cancel more than 5,000 flights on Friday and Saturday. The cause of the computer outage was a faulty software update pushed by cybersecurity provider Crowdstrike to Microsoft devices, and Microsoft blamed the system vulnerability that caused this software issue on a 2009 agreement with the EU. From The Telegraph:

Microsoft has blamed EU rules for enabling a faulty security update to cause the world’s biggest IT outage. The software giant said a 2009 agreement with the European Commission meant it was unable to make security changes that would have blocked the CrowdStrike update that triggered widespread travel and healthcare chaos on Friday.

CrowdStrike’s Falcon system, designed to prevent cyber attacks, has privileged access to a key part of a computer known as the kernel. This meant that a faulty update last week resulted in millions of Windows computers and servers being unable to load at all, leading to flight cancellations, contactless payments not working and GP surgeries being unable to make appointments.

Microsoft, which offers its own alternative to CrowdStrike known as Windows Defender, agreed in 2009 to allow multiple security providers to install software at the kernel level amid a European competition investigation.

In contrast, Apple blocked access to the kernel on its Mac computers in 2020, which it said would improve security and reliability. A Microsoft spokesman told the Wall Street Journal that it was unable to make a similar change because of the EU agreement.

For context, the “kernel” is a computer program at the core of its operating system, and buggy software updates that interact with an operating system’s kernel can, as we saw with Crowdstrike, wreak havoc on devices using that OS. Apple runs a closed operating system, locking third-party software providers out of its kernel, which safeguards its devices from incidents like this.

I wrote last week about the EU’s obsession with obscene fines for US big tech companies, so it’s fitting that Microsoft is now blaming European regulators for its 8.5 million device failure. Ben Thompson provided excellent background to Microsoft’s explanation:

Two of the companies seizing this opportunity in the 2000s were Symantec and McAfee; both reacted with outrage in 2005 and 2006 when Microsoft, in the run-up to the release of Windows Vista, introduced PatchGuard. PatchGuard was aptly named: it guarded the kernel from being patched by 3rd-parties, with the goal of increasing security…

Symantec, meanwhile, went straight to E.U. regulators, making the case that Microsoft, already in trouble over its inclusion of Internet Explorer in the 90s, and Windows Media Player in the early 2000s, was unfairly limiting competition for security offerings. The E.U. agreed and Microsoft soon backed down.

Basically, Microsoft wanted to lock third-party security software providers out of its kernel, two of said software providers cried “anti-competitive!” EU regulators agreed, and Microsoft dropped its efforts to block kernel access. Eighteen years later, a security software provider with kernel access pushed an update that shutdown millions of computers, which wouldn’t have happened if that software provider didn’t have kernel access. The EU, for what it's worth, denied responsibility for the computer failure.

Considering that 72% of global desktop computers run on Microsoft operating systems, it will be interesting to see if the tech giant can leverage the Crowdstrike bug to reverse the EU’s open-OS stance on Windows.

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Apple stock takes a hit on report it’s pushing back AI Siri features — again

Apple customers may have to wait even longer for the company’s long-awaited AI Siri, Bloomberg reports.

The iPhone maker had been planning to include a number of upgrades to Siri in a March operating system update, but the company now is planning to spread those out over future versions. That means some features first announced in June 2024 — an AI Siri that can tap into personal data and on-screen content — might not arrive until September with iOS 27.

The postponements happened after “testing uncovered fresh problems with the software,” Bloomberg said, including instances where Siri didn’t properly process queries or took too long to respond.

The stock, which had been trading up more than 2% today, has pared some of those gains on the news.

For what it’s worth, Apple’s iPhone sales — a record last quarter — don’t appear to be suffering for lack of AI.

The postponements happened after “testing uncovered fresh problems with the software,” Bloomberg said, including instances where Siri didn’t properly process queries or took too long to respond.

The stock, which had been trading up more than 2% today, has pared some of those gains on the news.

For what it’s worth, Apple’s iPhone sales — a record last quarter — don’t appear to be suffering for lack of AI.

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Meta breaks ground on massive $10 billion AI data center — and the costs won’t stop there

Meta announced today that it broke ground on a new, giant AI data center. This one is located in Indiana, has 1 gigawatt of capacity, and will cost more than $10 billion.

In a press release, the company touted the 4,000 construction jobs and 300 operational positions Meta expects to bring to the area. It did not disclose any tax incentives tied to the project.

But much like with the company’s Hyperion data center in Louisiana — where we calculated incentives in the billions — the number of long-term jobs is likely small relative to any public subsidies the company ultimately receives.

The $10 billion build represents a notable chunk of Meta’s planned $115 billion to $135 billion in capital expenditure this year. And operating costs will add substantially to that total over time.

Earlier this year, President Trump warned tech giants to “pay their own way” when it comes to energy, as data centers have driven up electricity costs in some regions. Meta’s announcement appears to anticipate that criticism, dedicating significant space to explaining how it will mitigate the energy and water impact of the facility:

“With all our data centers, we strive to be good neighbors. We pay the full costs for energy used by our data centers and work closely with utilities to plan for our energy needs years in advance to ensure residents aren’t negatively impacted. To help support local families in need, we’re providing $1 million each year for 20 years to the Boone REMC Community Fund to provide direct assistance with energy bills, and funding emergency water utility assistance through The Caring Center. We also pay the full cost of water and wastewater service required to support our data centers. Over the course of this project, Meta will make investments of more than $120 million, toward critical water infrastructure in Lebanon, as well as other public infrastructure improvements including roads, transmission lines and utility upgrades.”

Unlike hyperscalers such as Google and Microsoft, which can offset infrastructure costs by selling cloud capacity to customers, Meta bears those expenses largely on its own. That dynamic could make the economics of AI infrastructure more challenging for the company as its AI spending continues to accelerate.

But much like with the company’s Hyperion data center in Louisiana — where we calculated incentives in the billions — the number of long-term jobs is likely small relative to any public subsidies the company ultimately receives.

The $10 billion build represents a notable chunk of Meta’s planned $115 billion to $135 billion in capital expenditure this year. And operating costs will add substantially to that total over time.

Earlier this year, President Trump warned tech giants to “pay their own way” when it comes to energy, as data centers have driven up electricity costs in some regions. Meta’s announcement appears to anticipate that criticism, dedicating significant space to explaining how it will mitigate the energy and water impact of the facility:

“With all our data centers, we strive to be good neighbors. We pay the full costs for energy used by our data centers and work closely with utilities to plan for our energy needs years in advance to ensure residents aren’t negatively impacted. To help support local families in need, we’re providing $1 million each year for 20 years to the Boone REMC Community Fund to provide direct assistance with energy bills, and funding emergency water utility assistance through The Caring Center. We also pay the full cost of water and wastewater service required to support our data centers. Over the course of this project, Meta will make investments of more than $120 million, toward critical water infrastructure in Lebanon, as well as other public infrastructure improvements including roads, transmission lines and utility upgrades.”

Unlike hyperscalers such as Google and Microsoft, which can offset infrastructure costs by selling cloud capacity to customers, Meta bears those expenses largely on its own. That dynamic could make the economics of AI infrastructure more challenging for the company as its AI spending continues to accelerate.

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Humanoid robot maker Apptronik raises $520 million

Apptronik, an Austin, Texas-based robot manufacturer, said it has closed out its Series A fundraising round, raising $520 million. The fundraising is an extension of a $415 million round raised last February, and included investments from Google, Mercedes-Benz, AT&T, and John Deere. Qatar’s state investment firm, QIA, also participated in the fundraising round.

Apptronik makes Apollo, a humanoid robot targeted for warehouse and manufacturing work. The company is one of several US robotics companies that are racing to apply generative-AI breakthroughs to humanoid robots, in anticipation of a new market for robots in homes and workplaces.

Apptronik makes Apollo, a humanoid robot targeted for warehouse and manufacturing work. The company is one of several US robotics companies that are racing to apply generative-AI breakthroughs to humanoid robots, in anticipation of a new market for robots in homes and workplaces.

tech

Ives: Microsoft and Google’s giant capex plans are worth it

Don’t mind the AI sell-off, says Wedbush Securities analyst Dan Ives, who thinks fears around seemingly unfettered Big Tech capex budgets are unfounded, especially in the case of Microsoft and Google. Together, the two hyperscalers are slated to spend around $300 billion on the purchases of property and equipment this year as they double down on AI infrastructure, but he says both have already shown that they can turn the spending into revenue and growth.

“They are reshaping cloud economics around AI-first workloads that carry higher switching costs, deeper customer lock-in, and longer contract durations than before,” Ives wrote, adding that these giant costs will be spread out over time and set the companies up for success in the long run. Per Ives:

“While near-term free cash flow optics remain noisy, the platforms that invest early and at scale are best positioned to capture durable share, pricing power, and ecosystem control as AI workloads mature. Over time, we expect utilization leverage to turn today’s elevated investment into a meaningful driver of long-term value creation.”

“They are reshaping cloud economics around AI-first workloads that carry higher switching costs, deeper customer lock-in, and longer contract durations than before,” Ives wrote, adding that these giant costs will be spread out over time and set the companies up for success in the long run. Per Ives:

“While near-term free cash flow optics remain noisy, the platforms that invest early and at scale are best positioned to capture durable share, pricing power, and ecosystem control as AI workloads mature. Over time, we expect utilization leverage to turn today’s elevated investment into a meaningful driver of long-term value creation.”

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