Why Workers Hide AI Productivity Gains and Fear Being Replaced
Employees conceal automation shortcuts as efficiency gains threaten job security across modern workplaces.
1The Productivity Paradox
Employees who master AI tools face a sudden dilemma between sharing efficiency gains and protecting their jobs. Completing hours of work in minutes creates professional praise, but demonstrating that speed risks showing managers that fewer staff are needed. Consequently, proficient workers often keep automation methods completely confidential.
2Surveying Workplace Secrecy
A survey of 6,000 computer workers by Glean across the US, UK, and Australia revealed that 36 percent conceal AI assistance. Additionally, a 2024 Microsoft and LinkedIn survey showed over half of AI users worry that applying automation to critical tasks makes them appear easily replaceable to employers.
3Historical Roots of Soldiering
Workplace secrecy mirrors scientific management challenges documented by Frederick Winslow Taylor in 1911. Factory workers intentionally slowed production, a practice termed soldiering, fearing managers would reduce piece rates if output increased. Today, modern employees similarly resist showing faster workflows without guarantees that extra output will not penalize their livelihoods.
4The Efficiency Penalty Trap
When workers reveal automation shortcuts, management frequently responds with higher targets rather than personal relief. Using AI to finish budgets early often results in expanded assignments or prospective team downsizing during subsequent organizational reviews. This persistent dynamic disincentivizes staff from voluntarily teaching peers how to optimize daily corporate workflows.
5Norway's Institutional Agreement
On October 2, Norway's government and eight employer and union groups signed an AI agreement running through 2029. Drawing on Kristen Nygaard's 1970s participatory design principles, the framework mandates worker involvement in deployment decisions. However, the agreement serves primarily as an aspirational statement without guaranteeing direct wage increases.
6The Collective Bargaining Divide
Implementing participatory automation depends heavily on institutional labor structures across different markets. In 2025, Norwegian union density stood at 52.6 percent, compared to just 10 percent overall and 5.9 percent in the US private sector. American firms can adopt consultative discussions, but lack equivalent systemic enforcement mechanisms for worker protections.
7Structuring Safe Experimentation
To encourage tool sharing, companies can establish explicit six-month trial frameworks guaranteeing job security and steady pay. Under these written commitments, staff and managers jointly determine how saved hours are allocated, directing efficiency gains into backlog reduction or paid training before leadership increases standard output quotas or cuts roles.
8Aligning Incentives for Innovation
Unlocking company-wide efficiency requires leadership to eliminate the structural penalties tied to employee innovation. Staff already possess practical automation workflows but assess how previous efficiency champions were treated before sharing. Sustainable productivity growth emerges only when workers directly benefit from the time savings they generate across the organization.
Original article: Fortune — Why Workers Hide AI Productivity Gains and Fear Being Replaced