AI-powered computers are adding more time to workers’ tasks, but there’s a catch

Artificial Intelligence-enabled personal computers are currently causing productivity losses rather than gains, according to recent research, highlighting early adoption challenges in this emerging technology segment.

Key findings: Intel’s commissioned survey of 6,000 European consumers reveals that AI PC users are spending more time on tasks than those using traditional computers.

• Users currently lose approximately 15 hours weekly on “digital chores” like email writing, meeting transcription, and file management
• While AI assistance could potentially save 4 hours per week on these tasks, current implementations are falling short of this goal
• The study found that AI PC users often struggle with learning how to effectively communicate with AI tools to achieve desired outcomes

Market awareness and perception: Consumer familiarity with AI PCs remains remarkably low, with significant skepticism about their practical value.

• 86 percent of consumers have never heard of or used an AI PC
• 44 percent view AI PCs as either gimmicky or futuristic
• 53 percent believe these devices are exclusively for creative or technical professionals
• 86 percent express concerns about data privacy and security

Industry response: Intel and other manufacturers are acknowledging the need for better consumer education and support.

• Robert Hallock, Intel’s VP and GM of client AI, emphasizes the importance of helping knowledge workers transition to AI-assisted computing
• The company is focusing on developing strategies to teach consumers how to use AI PCs efficiently and ethically
• Current marketing efforts appear to have limited success, as PC sales have not seen significant impact

User adoption patterns: Experience with AI PCs appears to influence purchasing intentions significantly.

• Only 32 percent of those unfamiliar with AI PCs would consider buying one
• This figure doubles to 64 percent among those who have already used an AI PC
• The dramatic difference suggests that hands-on experience may be crucial for market acceptance

Looking ahead: The current productivity paradox with AI PCs mirrors historical patterns seen with other transformative technologies, where initial adoption often leads to temporary efficiency losses before users develop proper understanding and workflows. The success of AI PCs will likely depend on manufacturers’ ability to bridge this learning gap through improved user education and more intuitive interfaces.