UiPath Is Burning Down and AI Computer Use Agents Are Holding the Match

UiPath's House Is Actually on Fire Right Now

Let's start with the numbers that UiPath's marketing team definitely does not want you to Google. In March 2025, UiPath's revenue growth slowed to a crawl, and its stock fell sharply on the same day. That's not a rough quarter. That's a signal. But it gets worse. A securities fraud lawsuit filed against UiPath, detailed in court documents from September 2025, alleged that the company concealed increasing customer churn throughout 2023 and 2024, and that UiPath was not executing the large, multi-year deals it had been projecting. The stock dropped over 34% in a single day when some of that reality hit the market. Thirty-four percent. In one day. That's not a company with a confident story about the future of automation. That's a company scrambling to pivot toward agentic AI because its core product is losing the argument. UiPath is now trying to bolt AI onto RPA and calling it 'intelligent automation.' That's like putting a Tesla badge on a 2009 Prius and hoping nobody looks under the hood.

The Dirty Secret of RPA: You're Paying to Maintain Broken Things

• ●Forrester research found that over 50% of RPA projects stall or fail outright, often because of UI changes that break bots overnight
• ●RPA development and deployment alone accounts for 40-50% of total cost of ownership, before you even count the maintenance spiral
• ●Every time a vendor updates their web app, your bots break. Someone has to fix them. That someone costs money, every single time
• ●UiPath's own blog admits the maintenance burden is so bad they had to build a 'Healing Agent' feature just to stop bots from dying constantly
• ●Switching costs keep companies trapped: you've invested in bot infrastructure, trained a team, and built workflows around a tool that's fundamentally fragile
• ●AI agents using real computer use don't break when a button moves. They see the screen like a human does and adapt. No healing agent required.

What 'Computer Use' Actually Means and Why RPA Can't Touch It

RPA works by following a rigid script. Click here, read this field, paste it there. It's essentially a macro with a suit on. The moment anything changes, the pixel coordinates are wrong, the element ID shifts, or the page loads differently, the whole thing falls apart. That's not automation. That's a ticking clock. AI computer use is a completely different category. A computer use agent sees the screen the same way you do. It reads context, understands what it's looking at, and figures out how to complete the task even when the environment changes. It's the difference between a GPS that recalculates when you miss a turn and a GPS that just keeps telling you to turn right into a wall. The OSWorld benchmark is the industry standard for measuring how well AI agents handle real-world computer tasks. We're talking about actual desktop environments, real browsers, real terminals. Not toy demos. The gap between top-performing computer use agents and legacy RPA bots on these benchmarks isn't 10 or 20 percent. It's a completely different category of capability. And the Reddit thread titled 'RIP to RPA' from early 2025, with hundreds of upvotes from actual UiPath practitioners, says more than any analyst report ever could.

The RPA-to-AI Migration Is Happening Whether You Want It To or Not

Here's what's actually happening in the market right now. Companies that went all-in on RPA five years ago are sitting on a portfolio of bots that require constant babysitting. Every software update is a crisis. Every redesigned vendor portal is a weekend fire drill for someone's ops team. The total cost of ownership keeps climbing while the value delivered keeps flattening. The enterprises that are winning in 2025 are the ones that stopped asking 'how do we fix our RPA?' and started asking 'what would this look like if we built it with a computer use agent today?' The answer is almost always: faster to deploy, cheaper to maintain, and capable of handling exceptions that would have sent an RPA bot into a failure loop. Gartner predicted that over 40% of agentic AI projects will be canceled by end of 2027, and yes, that's a real concern for badly scoped projects. But notice what Gartner is even talking about: agentic AI projects. Not RPA projects. The conversation has moved. The question isn't whether AI agents replace RPA. It's whether your company makes that switch before or after your competitors do.

Why Coasty Exists

I'm going to be straight with you. I've looked at every serious computer use agent on the market. Anthropic's computer use API is interesting research but it's not production-ready for enterprise workflows. OpenAI Operator has its moments but the benchmark scores don't lie. Coasty.ai sits at 82% on OSWorld. That's not a marketing number. That's the industry-standard benchmark for computer use agents, and 82% is the highest score in the field right now. No competitor is close. What Coasty actually does is control real desktops, real browsers, and real terminals. Not API wrappers. Not simulated environments. Actual computer use the way a human would do it, but faster and without complaining about the repetitive parts. You get a desktop app, cloud VMs if you need scale, and agent swarms for parallel execution when you need to run the same workflow across dozens of instances simultaneously. There's a free tier to actually test it before you commit, and BYOK support if you're particular about your model stack. The companies I've seen move from UiPath to a proper computer use agent setup aren't just saving on licensing fees. They're eliminating entire categories of maintenance work that were quietly eating engineering hours every single week. That's the real ROI story that RPA vendors don't want to have.