Workday has revealed that 82% of employees spend a lot of time moving information between tools, coordinating teams and reconciling data that their systems should manage automatically. This is stated in the report The Copy-Paste Economy: Why Task-Oriented AI is Failing the Enterprise, which indicates that in companies where AI is embedded in key processes, 60% of employees recover a quarter of their day.
The study, prepared from the responses of 6,100 finance, HR, IT and operations professionals in organizations with more than 500 employees, shows that 83% of professionals feel that they work a lot, but make little progress. 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”: Workers take on tasks that AI should solve. 20% lose more than seven hours a week in manual integrations, and 83% feel that they work a lot, but make little progress.
High levels of adoption and low levels of integration
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% say a lack of clear information has delayed key decisions, and almost half have had to look for alternative solutions when their core systems were unresponsive.
83% of employees say that AI has improved their experience, but that impact is diluted in those 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.
Real integration, real impact
The Workday report quantifies the leap 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 reach that level.
Employees continue to act as a bridge between non-communicating systems, taking on an invisible workload
Trust is the other determining factor. 87% of respondents say 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.
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: 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.
