Workday reveals that 82% of employees spend a lot of time moving information between tools, coordinating teams, and reconciling data that their systems should be managing automatically. This is stated in the report The Copy-Paste Economy: Why Task-Oriented AI is Failing the Enterprise, prepared from the responses of 6,100 finance, HR, IT and operations professionals in organizations with more than 500 employees.
The paradox portrayed by the study is clear: employees trust AI and adopt it in their day-to-day work, but companies have deployed it at the margins of the business, not at its core. The result is what Workday calls the “copy-and-paste economy”: employees and workers take on tasks that AI should solve. 20% of employees lose more than seven hours a week on manual integrations, and 83% feel that they work a lot, but make little progress.
Adoption is not integration
According to the Workday study, only 27% of organizations have integrated AI into their core systems and workflows. Most use it only for specific tasks, which multiplies friction instead of eliminating it:
- 77% of employees have to reconcile conflicting data between different tools, and 70% manually re-enter the same information into different systems.
- 68% of employees report that a lack of clear information has delayed key decisions, and nearly half of employees have had to look for workarounds when their core systems were unresponsive.
- 83% of employees say that AI has improved their experience, but that impact is diluted for employees who work with tools disconnected from core business processes.
The pattern is consistent across all sectors and profiles analyzed: AI focused on isolated tasks does not eliminate operational friction, it displaces it. Employees continue to act as a bridge between systems that do not communicate, assuming an invisible workload that hinders their productivity and that no peripheral tool can solve. Additionally, many employees find that this situation limits their ability to focus on tasks of greater strategic value.
Real integration, real impact
The report quantifies the jump between a peripheral implementation and a real integration: in organizations where AI is embedded in systems that already manage payroll, financial closings or talent management, 60% of employees report time savings of more than 25% (or a quarter of their day). Where it operates on the periphery, less than a quarter of employees reach that level.
Trust is the other determining factor. 87% of employees surveyed say that their confidence in AI grows when they trust the system that supports it. By operating within the same platforms that employees already know and use daily, adoption accelerates and resistance disappears.
87% of employees surveyed say their confidence in AI grows when they trust the system that supports it
Professionals point out where they expect the greatest impact from AI: metrics monitoring (47%), employee onboarding support (44%), forecasting and budgeting (40%), approval management (38%) and financial closing (37%).
These priorities reflect a clear demand from professionals and employees: they want AI to act where the business really operates, not on the margins. As investment in AI grows, the question is not how much technology is adopted, but where in the organization it is integrated.
