83% of Workers Fear Being Fired for AI Errors Despite Saving 2 Hours Daily, GoTo Report Reveals

AI Saves Workers 2 Hours a Day While Fear Grips the Workplace

AI in the workplace is delivering measurable productivity gains, with employees saving an average 2.3 hours per day according to a comprehensive GoTo report conducted with Workplace Intelligence1

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. Yet this efficiency breakthrough comes with a troubling undercurrent: 83% of workers fear they could be blamed or even fired for AI-related mistakes3

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. The study, which surveyed 2,500 respondents across the US, Canada, UK, Ireland, Germany, Austria, Switzerland, India, Mexico and Brazil between November 2025 and January 2026, comprising 1,250 full-time knowledge workers and 1,250 IT decision-makers, exposes a widening trust gap between AI's productivity promise and workplace safeguards1

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Employee Fear Is Already Affecting AI Adoption

The anxiety surrounding AI mistakes is not merely theoretical—it's actively suppressing adoption. Nearly a third (31%) of employees say they have hesitated to use AI because they feared repercussions for errors1

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. This hesitation is particularly pronounced at smaller companies, where only 24% of small businesses and 36% of midsize firms have AI policies in place, compared with 53% of enterprises2

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. The majority of small and midsize business employees are left without clear guidance on how to use these tools safely, further amplifying concerns about accountability3

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AI Mistakes Are Already Causing Real Business Impact

The risks employees fear are materializing in businesses. One in four IT leaders reported that AI had made mistakes that negatively affected customers or clients (25%), while 23% said AI errors had caused financial damage to their company1

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. Even among organizations yet to experience such adverse impacts, 91% of IT leaders are concerned that an AI mistake could affect their company in future2

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. Rich Veldran, CEO of GoTo, noted that in the US alone, there's an opportunity for more than $2.9 trillion in potential efficiency gains from effective AI use, but without clear guardrails, that potential is being eroded by anxiety, misuse, and unaddressed risk3

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Workers Are Using AI as a Shield Against Accountability

While some employees fear being blamed for AI errors, others are exploiting the technology's current limitations. About 26% say AI allows them to avoid real accountability at work, 25% find it safer to blame AI than admit an error, and 17% have already blamed AI for a mistake they made1

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. This behavior reveals how the absence of clear AI governance is creating opportunities for misuse alongside genuine employee fear.

Responsible AI Use Remains Elusive Despite Policy Implementation

Even when AI policies exist, they're not translating into responsible AI use. A striking 84% of workers feel their company could do more to encourage responsible AI use1

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. More than half (55%) admit they don't always review or double-check AI outputs, even for high-stakes tasks3

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. Another 43% have used outputs they considered low quality or suspected contained errors or fabricated information2

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. This gap between policy and practice suggests that having guidelines alone is insufficient without proper employee training and cultural support.

Performance Pressure Is Driving Reckless AI Use

The pressure to perform is compounding the problem. Six in ten employees feel pushed to use AI to improve productivity, while 47% say AI use factors into performance reviews1

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. More than four in ten (42%) would rather risk an AI error than appear "slow" or "replaceable"3

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. Nearly a third (31%) report unspoken performance pressure to trust AI and stay quiet about mistakes, and alarmingly, 14% said they reported an AI error but were told to remain silent2

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. Dan Schawbel, Managing Partner at Workplace Intelligence, observed that this combination of pressure creates exactly the conditions for a workforce that uses AI recklessly3

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Small Businesses Face Agentic AI Without Adequate Preparation

The readiness gap is particularly visible as companies adopt agentic AI systems. While 46% of small businesses are using or piloting agentic AI, compared with 70% of enterprises, 38% of SMB IT leaders feel unprepared to manage them securely—more than twice the enterprise rate of 14%1

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. This disparity suggests smaller organizations are rushing into advanced AI deployment without the infrastructure or expertise to manage associated risks.

What Organizations Must Watch: The Path Forward

As routine work becomes increasingly automated, 52% of employees identified creative thinking and adaptability as the most important human skills to retain3

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. Organizations that establish clear accountability structures, comprehensive employee training, and AI policies that build employee trust will be better positioned to accelerate adoption and capture productivity gains1

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. The companies that close this governance gap will unlock AI's full capabilities while building a more confident workforce. Without addressing the trust deficit, the $2.9 trillion opportunity in efficiency gains risks being squandered through anxiety-driven underutilization and misuse-driven errors.