Automation Anywhere vs AI Agents: Your $750K RPA Investment Is Rotting While Computer Use Agents Do It Better
Ernst and Young found that 50% of RPA projects fail outright. Forrester found that maintenance alone eats 60% of the ongoing RPA budget. And yet, right now, thousands of enterprise IT teams are still paying Automation Anywhere licensing fees, still babysitting bots that break every time a vendor updates their UI, and still telling their CFO that the ROI is 'just around the corner.' Meanwhile, a new class of computer use AI agents can look at any screen, reason about what to do, and actually finish the job without a single line of brittle selector code. The gap between what RPA promised and what it delivered has never been more embarrassing, and the gap between RPA and modern AI computer use has never been wider.
The RPA Honeymoon Is Over. The Divorce Is Getting Expensive.
Let's be real about what Automation Anywhere actually sells you. You get a bot that follows a rigid script. It clicks button A, copies value B, pastes it into field C. It works beautifully in the demo. Then your ERP vendor pushes a UI update, and the bot clicks nothing because the button moved three pixels to the left. That's not a hypothetical. That's Tuesday for every enterprise RPA team on earth. One industry analysis pegged the 3-year maintenance cost for a mid-size RPA deployment at over 750,000 euros. Not the license. Not the implementation. Just keeping the existing bots alive. Automation Anywhere itself acknowledged up to 50% bot downtime during the 2024-2025 period in vendor disclosures. Half your bots, offline, half the time. That's not automation. That's a very expensive fragility factory. The fundamental problem is architectural. RPA bots are built on selectors and coordinates. They don't see the screen the way a human does. They don't understand context. They can't adapt. The moment the world changes even slightly, they fall over. And in 2025, the world changes constantly.
What AI Computer Use Actually Does Differently
A computer use agent doesn't follow a script. It looks at the screen, understands what it sees, decides what to do next, and executes. This is not a marketing distinction. It's a fundamentally different architecture with fundamentally different failure modes. When a UI changes, an RPA bot breaks silently or loudly, but it breaks. A computer use agent adapts, the same way you'd adapt if someone moved a button. You'd just find it. The agent does the same thing. This is why computer use AI is eating RPA's lunch in every serious benchmark. OSWorld, the gold standard for measuring how well AI agents handle real desktop and browser tasks, has become the definitive scoreboard. Anthropic's Claude Sonnet 4.5 scores 61.4% on OSWorld. Solid, but not dominant. Coasty.ai sits at 82%, the highest score of any computer use agent on the benchmark, and it's not particularly close. That gap matters enormously in production. At 61%, your agent fails roughly 4 in 10 tasks. At 82%, it fails fewer than 2 in 10, and it keeps getting better. No RPA vendor has a comparable benchmark because RPA bots can't be benchmarked this way. They don't generalize. They just execute the one script you wrote for the one process you had last quarter.
Ernst and Young's internal research found a 50% RPA project failure rate. Forrester found maintenance consumes 60% of ongoing RPA budgets. One industry analysis put 3-year RPA maintenance costs above $750,000 for mid-size deployments. Automation Anywhere's own disclosures acknowledged up to 50% bot downtime. And the best RPA benchmark score in the world is still zero, because RPA bots can't pass a generalization test. Computer use agents can, and Coasty scores 82% on OSWorld.
Automation Anywhere Is Trying to Bolt AI Onto a Broken Foundation
To their credit, Automation Anywhere sees the writing on the wall. They've been aggressively marketing 'agentic AI' and 'AI agents' for the past year. They're calling their new stuff 'Agentic Process Automation.' They have blog posts about computer use capabilities. But here's what they're actually doing: they're wrapping a large language model around the same fragile bot infrastructure that's been causing headaches since 2018. It's like putting a GPS on a horse and calling it a self-driving car. The underlying motion is still the horse. The core execution layer is still selector-based. The maintenance burden doesn't disappear because you added a chatbot layer on top. Compare that to a purpose-built computer use agent that was designed from day one to perceive screens visually, reason about tasks, and execute autonomously. Those are not the same product. One is an evolution of a legacy tool. The other is a clean-sheet design built for how computers actually work in 2025. When you're evaluating automation tools right now, you need to ask vendors one question: can your agent complete an arbitrary task on a desktop it's never seen before, with a UI it's never been trained on? RPA can't. Real computer use agents can.
The Numbers That Should Make Your CFO Furious
- ●50% of RPA projects fail before delivering meaningful ROI, per Ernst and Young research
- ●60% of ongoing RPA budgets go to maintenance, not new automation, per Forrester
- ●750,000 euros or more in 3-year maintenance costs for a mid-size RPA deployment, per industry analysis
- ●Up to 50% bot downtime acknowledged in Automation Anywhere deployment data from 2024-2025
- ●Automation Anywhere enterprise licensing starts at tens of thousands of dollars per year before you've automated a single thing
- ●Every UI update from every vendor you use is a potential bot-breaking event requiring developer time to fix
- ●RPA developers with Automation Anywhere certifications command $80,000 to $120,000 salaries, and you need several of them just to keep existing bots running
- ●Coasty.ai has a free tier. BYOK support. No per-bot licensing. No selector maintenance. 82% on OSWorld.
Why Coasty Exists
I'm not going to pretend this is a neutral comparison. I think Coasty is the right answer for most of what enterprises are trying to do with Automation Anywhere, and I think the benchmark data backs that up completely. Coasty is a computer use agent built to control real desktops, real browsers, and real terminals. Not API wrappers. Not pre-built integrations that only work if the vendor you're connecting to hasn't changed their UI. Actual visual computer use, the way a human does it, but faster and without needing a salary. The 82% OSWorld score isn't a marketing number. OSWorld is a rigorous, third-party benchmark run by academic researchers at a top university. It tests agents on real tasks across real applications. Coasty tops the leaderboard. Nobody else is close. Beyond the score, the practical architecture is what matters. You get a desktop app, cloud VMs, and agent swarms for parallel execution. That last part is huge. RPA scales by buying more bot licenses. Coasty scales by spinning up more agents in parallel, all working simultaneously, all adapting to whatever they encounter. The economics are not even comparable. And yes, there's a free tier. You can start today without a procurement cycle, without a six-figure commitment, and without a three-month implementation project. Go to coasty.ai and see what a computer use agent actually looks like when it's built right.
Here's my honest take: Automation Anywhere built a real business solving a real problem, and for a few years in the late 2010s, RPA was genuinely the best tool available. That era is over. The maintenance costs are real. The failure rates are real. The brittleness is structural, not fixable with a marketing rebrand to 'agentic AI.' The companies that figure this out first are going to have a meaningful competitive advantage over the ones still paying RPA maintenance bills in 2026. Computer use agents are not a future technology. They exist now. They score 82% on the hardest benchmark in the field. They work on any UI without custom selectors. They adapt when things change. If you're currently running Automation Anywhere bots, I'm not saying rip everything out tomorrow. I'm saying stop building new things on the old foundation, and start a serious evaluation of what computer use AI can do for you. Start at coasty.ai. It's free to try. The bots you're babysitting right now are not.