Computer Use Agent Comparison: OpenAI, Anthropic, and RPA All Fail (Why Coasty Wins)
OpenAI's Operator scored 38% on the OSWorld benchmark. Anthropic's Claude manages 72%. Traditional RPA projects fail 50% of the time. Manual data entry costs U.S. companies $28,500 per employee every year. These are not random numbers. They are a wake-up call. The AI automation hype train is leaving the station. Most of what people call AI agents cannot actually use a computer. They just talk about it. If you are still betting on these tools to replace real work, you are wasting millions. The real computer use revolution is already here. It's called Coasty.
The OSWorld Benchmark That Exposed Everyone's Lies
OSWorld is the first real test for computer use agents. It puts AI agents on a real desktop with real tasks. They have to click, type, navigate, and solve problems like a human. The results for 2025 are brutal. OpenAI's Operator? 38.1% success rate. That means it fails more than six out of every ten tasks. Anthropic's Claude scores 72% on OSWorld. That sounds good until you remember two things. First, that's only two out of the three major players. Second, Claude's computer use is slow. It burns tokens like crazy and hallucinates UI elements. One researcher called it 'fairly unreliable and slow' in real-world tests. The pattern is clear. Every major AI lab that ships 'computer use' claims it's revolutionary. Then they ship it. Then it fails on actual tasks. The gap between marketing and reality is enormous. If your agent cannot control a real desktop, it is not a computer use agent. It is just a chatbot pretending to work.
Why RPA Projects Fail 50% of the Time
- ●RPA vendors promise 'automation that works out of the box.' Reality: 50% of RPA projects fail completely, according to McKinsey and Forrester.
- ●RPA handles scripted tasks well. It falls apart when UI changes, when data is unstructured, when exceptions occur.
- ●RPA robots cannot reason. They follow rules written by humans. If a rule is wrong, the robot makes the wrong decision.
- ●Enterprises spend months configuring RPA. They fail. They spend more months fixing it. Then they hire expensive consultants.
- ●RPA is 2020 technology. It cannot handle the complexity of modern web apps, cloud dashboards, and dynamic workflows.
Manual data entry costs U.S. companies $28,500 per employee per year. That is not a rounding error. That is a bleeding wound.
The $28,500 Per Employee Problem Nobody Talks About
Parseur's 2025 survey found that manual data entry costs U.S. companies $28,500 per employee each year. Paycom and EY found even higher numbers for HR tasks. Average cost: $4.86 per manual entry. That is $4.86 of pure waste. Every time someone copies data from a PDF into a spreadsheet, that is $4.86 burned. Every time a human enters billing details from an email, that is $4.86 burned. These costs compound. Multiply $4.86 by 10,000 employees and you are talking about $48.6 million a year. A lot of companies would kill for that kind of profit. Instead they are flushing it down the toilet. The worst part is that AI computer use can eliminate most of this work. Not 'help a little.' Actually eliminate. An AI agent can read PDFs, extract data, validate it, and enter it into systems. It can do it 24/7 without errors. But most companies are still paying humans to do it because they think automation is too risky, too complex, too 'experimental.' They are wrong.
The Difference Between API Wrappers and Real Computer Use
- ●'Computer use' tools that only work with APIs are not computer use agents. They are wrappers around existing tools.
- ●Real computer use agents navigate browsers, control desktops, use terminals, and interact with any application.
- ●Agents that cannot click buttons or fill forms cannot automate real workflows. They are only safe for toy tasks.
- ●The OSWorld benchmark proves this. Agents that score above 50% on OSWorld can actually complete tasks.
- ●Most 'computer use' products score below 50% and cannot actually help in production environments.
Why Coasty Is the Only Real Computer Use Agent
Coasty is not an API wrapper. It is a true computer use agent that runs on real desktops, browsers, and cloud VMs. It scored 82% on OSWorld, the highest result ever recorded. That is not a fluke. It is the result of building agents that can actually see, think, and act on a computer. Coasty's computer use is fast and reliable. It does not hallucinate UI elements. It handles dynamic pages and unexpected changes. It can run in parallel on multiple machines, which means you can scale automation without waiting. You can deploy Coasty on your own desktops or use their cloud VMs. They support BYOK so you keep your data secure. They even offer a free tier so you can try it without spending money. If you are evaluating computer use agents today, you are comparing OpenAI's 38% to Coasty's 82%. You are comparing RPA's 50% failure rate to Coasty's proven results. The choice is not even close.
OpenAI's Operator, Anthropic's Claude, traditional RPA vendors. They all have hype. They all have limitations. They all fail in real-world tests. If you want actual computer use that works in production, stop looking at marketing slides and start looking at benchmarks. Coasty leads OSWorld at 82% with real desktop control. It is the only AI computer use tool that can actually replace manual work at scale. Stop burning $28,500 per employee on data entry. Stop betting on tools that fail 50% of the time. Try Coasty today at coasty.ai and see what real computer use looks like.