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ChatGPT, Claude, and Grok all went down at once; enterprises need a backup plan
Enterprises are facing a disturbing new question in the age of AI: What happens when agentic assistants go dark?
This became a very real scenario on Thursday, as OpenAI’s ChatGPT, Anthropic’s Claude, and SpaceXAI’s Grok near-simultaneously, and somewhat mysteriously, experienced significant, prolonged outages.
Beginning in the morning, Eastern time, several ChatGPT models went down over a roughly two hour period, Claude models over a four-hour span, and Grok models for a near three-and-a-half hour duration. All three companies acknowledged the “elevated” issues and applied fixes.
As users grumbled in forums and IT teams scrambled to get them back online, the incident revealed how hastily some organizations have adopted generative AI workflows without considering the potential, and inevitable, impact of widespread outages.
AI agents are increasingly taking over automated and wider-scale workflows, and enterprises could find themselves “uncomfortably exposed” when AI hits the brakes, said technology analyst and journalist Carmi Levy. The situation should “serve as a wakeup call to IT leaders who have largely ignored what it’ll cost them if these increasingly critical platforms suddenly go dark. The risk is no longer hypothetical.”
Hours-long outages impact core servicesChatGPT went down on the same day as OpenAI’s anticipated launch of GPT-6 Astra, the new frontier model that the company says approximates artificial general intelligence (AGI) and gets nearer to its goal of creating autonomous systems that outperform humans.
The OpenAI outage occurred around 11 a.m. ET on Thursday and impacted a slew of services, including search, file uploads, agents, GPTs, voice mode, image generation, ChatGPT work, Compliance API, Deep Research, ChatGPT Atlas, and other connectors and apps. In some cases, users were prevented from logging in, conversations failed to load, and the interface returned errors when attempting to send messages. OpenAI’s Codex services, including web, API, command line interface (CLI), and VS code extension, were also impacted.
OpenAI fixed the issue by 12:55 p.m. ET, and advised Codex remote control users to re-pair their mobile devices.
Claude began to go dark around 7:37 a.m. ET, with Anthropic acknowledging an “exhaustive list” of impacted models with elevated errors over the next few hours: Mythos and Fable 5.1 and 5, Sonnet 5, and Opus 5, 4.8, and 4.6.
The issue was resolved by 11:27 a.m. ET. The incident followed a roughly 27-minute outage just the day before, also due to elevated errors on requests in Sonnet 5.
Grok, meanwhile, began experiencing issues around 9:30 a.m. ET. Grok Web, Build, API, Office/Workspace plugins, Android, and X were all impacted. The services returned to “healthy” traffic at 1:08 p.m. ET.
“It’s a curious scenario for multiple different providers to experience outages at the same time,” noted Brian Jackson, a principal research director at Info-Tech Research Group. It could be related to a common infrastructure such as a content delivery network (CDN) layer, domain name system (DNS), or shared cloud infrastructure, he theorized.
A case for outage planningJust a few months ago, the extent of AI use within the typical enterprise was limited to employees using chatbots to get answers to basic questions or to draft simple email messages, Levy noted. Large-scale AI platform outages, when they occurred, had relatively little impact on overall organizational productivity. “But things are changing, and quickly,” he said.
Organizations must now have a better understanding of the impact agentic AI has on day-to-day workflows, and the degree to which they disrupt employees’ ability to complete complex tasks once they’ve handed the reins over to automated, cloud-based tools, Levy noted.
In incidents like Thursday’s, employees may fall back on traditional manual workflows, such as updating spreadsheets or pulling reports together the old-fashioned way. But they might also realize that, after relying on AI agents to do so much work on their behalf, they’ve become too dependent on automation, and their “cognitive skills may not be as sharp as they once were,” Levy said.
The growing prevalence of agentic AI should prompt organizations to revisit their disaster recovery and business continuity plans and assess the productivity impact of potential service outages, he said. While cloud-based productivity platforms like Google Workplace and Microsoft 365 offer limited degrees of “offline mode” functionality using locally-stored data, and documents can be synchronized to hard drives in Dropbox or Google Docs for Desktop, agentic AI platforms offer up fewer offline workarounds, at least in their current form.
Organizations should document workflows in greater detail and scenario-plan what near-term recovery might look like in the event of an extended AI platform outage, Levy said. They also need better training to ensure employees maintain their manual skills over time and are equipped to press them into service in the event of a service outage, because the more enterprises lean on agents to complete critical tasks, “and pull humans out of the loop in the interest of productivity,” the less able employees will be to step back in during inevitable service interruptions, he pointed out.
“It is entirely possible for otherwise well-meaning organizations to be over-reliant on AI automation,” Levy said. “Too many organizations are about to learn some hard lessons about not having a backup plan in place.”
Info-Tech’s Jackson also recommends a modular architecture for LLMs; enterprises should view the model as a “commodity that can be hot-swapped with an alternative.” That might be another cloud service provider (which hopefully isn’t experiencing a concurrent outage) or a self-hosted option like an open-weights model.
“In a scenario like this, when your first choice provider might not be available, you have a fallback that can supply that same intelligence layer, even if it’s only a stopgap solution,” said Jackson.
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Confused about which VPN is right, US senator asks the NSA for guidance
A prominent US senator is asking the National Security Agency to provide guidance to the general public on best practices for using virtual private networks to secure their communications from spying by foreign adversaries.
VPNs funnel all of a user’s Internet traffic through an encrypted connection to a remote server. The design provides strong assurances that no one between the user and the server can read the encrypted contents. VPNs also allow users to hide their IP addresses from the destination servers they communicate with. While US agencies have previously recommended use of VPNs, none have given recommendations on which ones provide adequate protection.
It's all in the nuancesThere are a host of limitations that can undo many of the protections users may think their VPN provides them. For instance, the encrypted tunnel often terminates once a single server decrypts the traffic and sends it on to its final destination. That means the decrypted traffic or the sending and destination IP addresses may be available for snooping by rogue employees or attackers who hack the server. VPNs also don’t encrypt certain types of metadata, such as time stamps, allowing nation-states to build profiles that can be useful in intelligence gathering.
VMware migration reduces Tottenham Hotspur's licensing fees by 85 percent
Tottenham Hotspur, a professional soccer team that’s part of the Premier League, has saved over 85 percent in licensing fees by replacing its stadium's VMware instance with Hewlett-Packard Enterprise’s (HPE’s) Morpheus VM Essentials (VME) virtualization software.
Tottenham hasn’t disclosed which VMware products it used or how much it previously paid the Broadcom firm.
The soccer organization confirmed this week to The Register that it has moved its stadium's server, storage, and networking infrastructure to HPE solutions delivered through HPE's hybrid cloud management platform, GreenLake. That is all “underpinned by" VME and HPE's OpsRamp software for hybrid and multi-cloud environments, Rob Pickering, Tottenham's CTO, told the publication, with HPE in charge of the hybrid cloud-managed service.
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Word and Outlook will stop trying to guess what you’re going to type
Microsoft’s text suggestion feature will now be turned off by default in both Word and Outlook, reports The Register. The text suggestions attempt to predict which words or phrases the user intends to type in advance.
According to Microsoft, some users appreciate the feature, while others find the suggestions distracting. With it disabled by default, interested users can now choose for themselves whether they want to turn it on manually.
It is unclear whether the change will disable text suggestions for existing users who already have the feature enabled, or if it applies only to new installations and profiles.
The change applies to Word for Windows, the web, iOS, and Android, and to classic Outlook for Windows and Outlook for Mac. Rollout timing will be communicated through the Microsoft 365 admin center and release notes, Microsoft said.
This article originally appeared on Computer Sweden.
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Serious vulnerability threatens tens of thousands of Exchange servers
A serious vulnerability was recently discovered in Exchange Server 2016, Exchange Server 2016, and Exchange Server Subscription Edition (SE). The vulnerability is designated CVE-2026-62911 and can be exploited by hackers to gain full access to affected systems, according to Bleeping Computer.
Microsoft has released security patches to address the vulnerability as part of its August 2026 Patch Tuesday release, but there are still 21,899 unpatched servers at risk, according to The Shadowserver Foundation. The highest concentrations of vulnerable servers are in the US and Germany, the security group said.
The Netherlands National Cyber Security Centre and other agencies have urged admins to install the latest patches as soon as possible.
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Why is Apple so quiet about what it offers the enterprise?
I’ve been writing about Apple and how it benefits the enterprise for so long it’s easy to forget that the company doesn’t make enough noise about its accomplishments.
Sure, it has pursued and won the argument about Total Cost of Ownership, proving that while initial costs might be higher, dollar for dollar Macs are a far more cost-efficient platform, particularly when it comes to product reliability and tech support.
Apple already offers so muchApple has also introduced extensive tools and APIs to help manage enterprise Macs, spawning a wide ecosystem of providers — most visibly, Jamf. Certain Apple products are already becoming deeply ingrained in some key professions; just think about Vision Pro and what it offers in medical care or prototype design, or the tens of thousands of Macs being carried around by AI developers across all the big name firms.
Some of what Apple delivers is already of major benefit to enterprise users. MLX for example, is being actively used to support real-life AI implementations, including by active AI-based businesses such as Yembo. And simplicity and ease-of-use isn’t just an advantage to consumer users, it boosts productivity in enterprise, too.
Almost 10 years ago, the focus was all about mobile enterprise, something that hasn’t gone away. Indeed, it is arguable that with Siri AI and third-party AI partners, Apple’s mobile enterprise story has become even more compelling. All the same, even then it was crystal clear that Macs had a big part to play in the future of enterprise tech. The iPhone accounted for 72% of all enterprise smartphone activations back then, while Jamf data has consistently shown us the steady forward momentum Mac has in business.
So why hide the light?As former Apple Enterprise Marketing Manager Todd Dailey points out, Apple does have some people it trusts to tell its business and enterprise stories. But it isn’t investing very much in making sure they have stories to tell. For example, he notes just one enterprise-related story on the Apple website. Published in Chinese only, that story is about Haidilao, which is seeing serious TCO and energy consumption benefits by running its back-end operations on Mac minis.
He also points to a near-mythical Apple-in-business event the company ran in Cupertino last June. That event generated almost no coverage anywhere, because no one was there to report on it. And yet it gathered leaders from Disney, Ford, Anthropic, Perplexity, Christie’s and presumably elsewhere to talk about how they use Macs in business, many with a focus on enterprise AI. I’ve spent time trying to track down additional information from that event, but there is not much out there. And while I’m willing to accept that some of those who took part needed business confidentiality, it was a semi-public event, so it seems unlikely significant secrets would have slipped out.
It feels like a lost opportunity. Imagine the follow-up if Apple had paid a media team to attend the event to churn out stories, develop case studies, shoot video, and make viral influencer tik-toks. Is it that Apple doesn’t believe in its own enterprise offer? I don’t think so. It has a small army of business experts available to customers in stores, and they wouldn’t be there if it didn’t see a need for them.
Overcome myopiaDailey thinks it’s a disconnect generated by Apple’s traditional focus on consumer markets. He’s probably correct, but it is frustrating; the real value Apple offers enterprise IT has been crystal clear for years – certainly since before then-Apple CFO Luca Maestri declared that Apple had set a new enterprise revenue record back in 2017. “Corporate buyers reported a 96% satisfaction rate and a purchase intent of 68% for the June quarter,” said Maestri at that time.
With that kind of momentum across such an extensive length of time, the company has without doubt built strong foundations of enterprise success. But these emerge most frequently as short footnotes in CFO statements during fiscal calls, rather than being shouted from the rooftops.
Here are some detailsHighlights announced during those calls since 2024 include:
- Nvidia launched a Mac-as-choice program with more than 10,000 Macs deployed worldwide.
- UC-San Diego Health became the first hospital in the world to test Vision Pro spatial-computing apps in clinical surgical trials.
- BMW Group deployed tens of thousands of iPhones, including to factory employees.
- Capital One expanded its “Mac Choice” program with thousands more MacBook Airs.
- Crédit Agricole (France’s leading retail bank) turned to on-device AI on the MacBook Pro to cut regulatory-workflow processing time by more than 80%.
- Perplexity selected the Mac as its preferred platform for building enterprise-grade AI agents.
Apple knows these wins exist, and recently launched Apple Business, the all-in-one platform that combines hardware, software, and enterprise services to manage large-scale deployments. This showed the company knows what’s going on.
Mac does AIFollow the money and it feels as if the next stage of the Apple-in-the-enterprise journey will at least in part be built around AI; Apple has major advantages it should celebrate with the sector. It offers the best systems for on-device AI, use and development. MLX is unique, ahead of its time, and worth leaning into. Its commitment to privacy is becoming increasingly and recognizably important to enterprise professionals. Even its battles to protect encryption are fundamental to business success.
Lots of its customers, not just Perplexity or Crédit Agricole, already see the advantages.
The successes it already has should be celebrated on the company’s own enterprise websites, and the company should recognize and invest in those stories and share them. Dailey points out that developers at Nvidia, Anthropic, OpenAI, and most enterprise AI shops all already use MacBook Pros for portable AI, suggesting a campaign around “Mac Does AI” should be in place. I see his point. I hope Apple does.
Now please subscribe to my daily, human-curated Apple-related news headline feed at The Core, and follow me on BlueSky, LinkedIn, or Mastodon.
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