UiPath Cost You $15,000 Per Bot. A Computer Use AI Agent Does It for Almost Nothing.
Your company is paying somewhere between $8,000 and $15,000 per year, per bot, to run UiPath. That's before implementation fees, which run another $5,000 to $15,000 per process. And before the ongoing maintenance costs, which Forrester pegged at eating up 60% of RPA teams' total time. So you hired a team of automation engineers, and most of their day is spent fixing bots that broke because a dropdown menu changed position. This is the dirty secret of the RPA industry that nobody in a UiPath sales deck will ever show you. And in 2025, with real computer use AI agents now doing the same work without brittle rules, without constant maintenance, and without the enterprise licensing bill, the question isn't whether RPA is dying. It's why anyone is still defending it.
The RPA Promise vs. The RPA Reality
Go back and read the 2018 pitch decks for UiPath, Automation Anywhere, and Blue Prism. They all promised the same thing: a 'digital workforce' that would eliminate manual drudgery and free your employees for higher-value work. It was a great story. Enterprises bought it hard. UiPath went public in 2021 at a $35 billion valuation. Then reality showed up. Ernst and Young found that roughly 50% of RPA projects fail outright. Not 'underperform.' Fail. Even the ones that survive have a brutal maintenance burden because traditional RPA works by recording exact pixel coordinates and UI element paths. Change the font on a button, update your CRM, or migrate to a new browser version, and your bot is dead. You're not automating work anymore. You're writing detailed instructions for a robot that panics the moment anything on screen looks different than it did on the day you trained it. That's not intelligence. That's a very expensive macro.
The Numbers UiPath Doesn't Want You to Google
- ●Enterprise RPA licenses run $8,000 to $15,000 per year, per bot, not counting implementation or support
- ●Implementation cost per automated process: $5,000 to $15,000 on top of licensing
- ●Forrester research found RPA maintenance consumes roughly 60% of automation teams' total bandwidth
- ●Ernst and Young's own data puts RPA project failure rates at around 50%
- ●UiPath's stock dropped 30% in a single day in May 2024 after a bad earnings report and their CEO quit simultaneously
- ●Gartner predicts over 40% of agentic AI projects will be canceled by 2027, largely because companies are bolting AI labels onto old RPA infrastructure without actually changing anything
- ●Early automation and IoT projects, including RPA rollouts, had failure rates above 70% according to industry post-mortems
Forrester found that RPA maintenance alone consumes 60% of automation teams' time. You didn't hire those engineers to maintain bots. You hired them to build things. UiPath turned your automation team into a bot repair shop.
What a Real Computer Use Agent Actually Does Differently
Here's the core difference, and it matters a lot. Traditional RPA sees your screen the way a GPS sees roads: it follows a pre-programmed path, and if that path is blocked, it stops and calls for help. A computer use AI agent sees your screen the way a human does. It reads context. It adapts. It figures out that the 'Submit' button moved to the left side of the form and just clicks it anyway. Computer-using AI doesn't need you to map every pixel of every workflow in advance. You describe the task in plain language, and the agent figures out the steps. OpenAI's Computer-Using Agent scored 38.1% on OSWorld when it launched in January 2025. Anthropic's Claude models have been climbing the same benchmark. These are real, standardized tests on real desktop tasks: file management, web browsing, multi-app workflows. Not demos. Not cherry-picked screenshots. Actual benchmarks. The gap between what a modern computer use agent can do versus what a brittle RPA bot can do is widening every quarter, and the cost difference is already absurd.
UiPath Knows It's in Trouble. That's Why They're Calling Themselves 'Agentic' Now.
To be fair to UiPath, they're not completely asleep. Their fiscal year 2025 annual report mentions 'agentic automation' and 'AI agents' more times than I could count. They launched something called 'Agentic Orchestration.' They're trying to bolt AI capabilities onto their existing RPA platform and hope nobody notices the seams. But here's the problem with that strategy. When your entire architecture is built around deterministic, rules-based automation, you can't just sprinkle AI on top and call it an agent. It's like putting a Tesla badge on a 2009 Camry. The fundamental model is wrong. RPA was designed for a world where software interfaces never changed and every process could be mapped to a flowchart. We don't live in that world. We live in a world where your team uses fifteen different SaaS tools, interfaces update constantly, and the most valuable work involves judgment calls that no flowchart can capture. That's exactly where computer use AI agents thrive and where RPA collapses.
Why Coasty Exists
I've watched a lot of teams waste serious money on RPA implementations that took months to build and weeks to maintain. The pitch for a better computer use agent isn't complicated: it should actually work on real computers, handle real tasks, and not require a dedicated engineer to babysit it. That's what Coasty was built to do. It's the top-ranked computer use AI agent on OSWorld with an 82% score, which isn't a marketing number, it's the industry's standard benchmark for real-world desktop task completion. No other computer use agent is close. Coasty controls actual desktops, browsers, and terminals the way a human would, reading the screen and adapting in real time rather than following pre-programmed coordinates. You can run it as a desktop app, spin up cloud VMs, or run agent swarms for parallel execution across multiple tasks simultaneously. There's a free tier to start, BYOK support if you want to bring your own API keys, and pricing that doesn't involve a six-figure enterprise contract negotiation. The reason Coasty exists is simple: the best computer use AI shouldn't require a $15,000 annual license per workflow and a maintenance team on standby. It should just work.
Here's my honest take. UiPath isn't evil. They built something genuinely useful for a specific era of enterprise automation, and plenty of companies got real value from it. But that era is ending, and pretending otherwise is expensive. If you're still evaluating UiPath in 2025 for new automation projects, you're solving a 2019 problem with a 2019 tool while paying 2025 prices. The smarter move is to test a real computer use agent on your actual workflows before signing anything. See what it takes to set up, see how it handles edge cases, and see what happens when the UI changes. If you want to start with the one that scores highest on the only benchmark that actually matters, go to coasty.ai. The free tier is there. The 82% OSWorld score is there. And you won't need to file a maintenance ticket the first time a button moves.