Imagine trying to upload a critical file to ChatGPT, only to be met with an error message claiming it’s expired—even though you just created it. Or worse, you’re a developer relying on OpenAI’s Batch APIs, and your jobs are stuck in limbo, refusing to finalize. This is the reality for many users right now, as OpenAI grapples with a significant outage affecting two of its core systems: ChatGPT and its APIs. But here’s where it gets frustrating—this isn’t just a minor glitch; it’s been ongoing for at least half an hour as of this writing, leaving users in the dark and productivity at a standstill.
Let’s break it down. The first issue is with the Batch API jobs, which are essentially stuck in the finalization phase. OpenAI monitors twelve critical API components for uptime, and it’s the Batch component that’s currently underperforming. According to OpenAI’s status page (https://status.openai.com/), the problem is described as: ‘A subset of Batch API jobs stuck in finalizing state.’ This has been the case since 3:54 PM, leaving developers and businesses dependent on these APIs in a tough spot. For instance, if you’re running automated workflows or data processing tasks, this delay could cascade into larger operational disruptions.
And this is the part most people miss: While the API issue is bad enough, there’s another problem brewing—ChatGPT’s file upload feature is also failing for some users. OpenAI describes this as a partial outage, but for those affected, it’s a complete roadblock. The error message? ‘File has expired.’ Ironically, this issue has been persistent since 3:53 PM, just a minute before the API problems began. It’s almost as if the system is doubly determined to keep users from getting their work done.
Here’s the official word from OpenAI: ‘File uploads to ChatGPT conversations are failing for some users, giving an error message indicating the file has expired.’ While the company hasn’t provided a timeline for resolution, users are left wondering: Is this a sign of growing pains for OpenAI as demand surges? Or is there a deeper technical issue at play? Controversially, some might argue that relying on a single provider for critical AI services is a recipe for disaster—what happens when the system fails?
As we wait for OpenAI to resolve these issues, it’s worth asking: How prepared are we for AI outages in an increasingly automated world? Are we too dependent on these tools, or is this just a temporary hiccup in the march of progress? Let us know your thoughts in the comments—do you think this outage is a minor setback or a wake-up call for the AI industry?