60% of Supply Chain AI Projects Will Fail by 2028. Here's How to Be in the 40%
Sixty percent of supply chain digital adoption efforts will fail to deliver promised value by 2028. That is not a guess. Gartner said so. The companies that chase AI hype without a real plan are about to get wrecked. The supply chain is bleeding money right now and you are still letting humans copy-paste data between systems. That is insane.
The Hidden Cost of Copy-Pasting POs
Manual data entry costs U.S. companies $28,500 per employee every year according to Parseur's 2025 report. In supply chain operations that number is even worse. People spend hours entering data into systems, cross-checking information, and fixing errors that an AI would spot in seconds. One to two full workdays per week. Just entering data. That is how much time your team wastes every year on tasks an AI computer use agent could handle in under an hour. The worst part is nobody talks about it because it is invisible until it explodes in your face.
Why AI Projects Keep Failing
- ●60% of digital adoption efforts will fail by 2028 because companies underinvest in learning and culture
- ●Legacy ERP implementations and RPA bots break when processes change
- ●Most vendors sell you software, not actual computer use capabilities
- ●Your people are not trained to work alongside AI, they are trained to resist it
Oracle's own AI agents for supply chain can automate routine tasks, but most companies still struggle to integrate them. They buy the tool, they don't adopt the workflow.
AI Computer Use Is Not the Same as RPA
Traditional RPA and computer vision automation are great for static processes that never change. Supply chains do not stay static. Tariffs shift, suppliers fail, demand spikes, and regulations change. RPA bots break. They need constant maintenance. AI computer use agents like Coasty actually control desktops, browsers, and terminals. They can learn new workflows, adapt to UI changes, and handle exceptions that would crash a traditional bot. This is the difference between a script that dies when you change one field name and an agent that understands what it is doing.
The Problem With Most AI Vendors
Most AI vendors in supply chain sell you dashboards, reports, and APIs. They do not actually log into systems and get work done. They give you data. They do not give you automation. You still need people to act on that data. That is why 60% of digital adoption efforts fail. Companies think buying software solves their problems. It does not. You need an AI that can actually use your tools, not just analyze them.
Why Coasty Is the Real Solution
Coasty.ai is the #1 computer use agent. Its OSWorld benchmark score is 82 percent, which is higher than every competitor. That means it can actually control real desktops, browsers, and terminals. It does not just call APIs. It clicks, types, opens apps, and navigates complex workflows. You can run it on desktops, cloud VMs, or as agent swarms in parallel. It supports BYOK and has a free tier. If you are serious about AI automation for supply chain, Coasty is the obvious choice. It is not another dashboard. It is an agent that can do the work.
Stop building systems that need constant maintenance. Stop letting your team waste days on manual data entry. The 60% failure rate is not inevitable. It is a choice you make when you buy bad tools or refuse to change your processes. Coasty.ai gives you an AI computer use agent that can actually work in your systems. If you want to be in the 40 percent that succeeds, you start with an agent that can control your desktop, not just look at your data. Go to coasty.ai and see what real AI automation looks like.