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Perception of AI Authorship Linked to Reduced Motivation, Brookings Finds

by T&I News
August 3, 2026
in Technology
Reading Time: 2 mins read
Photo by Sóc Năng Động on Pexels

Photo by Sóc Năng Động on Pexels

New research from the Brookings Institution has found that when people believe artificial intelligence was responsible for producing creative work, they tend to assign less meaning to the task and put in less effort compared with situations where they believe a human—or they themselves—did the work. The finding points to a psychological effect that could have significant implications for how organisations deploy AI tools alongside human employees.

According to the research, the perception of AI involvement in a creative task, rather than the actual quality or origin of the output, appears to be the key factor influencing how much value people place on the work and how motivated they are to engage with it. In other words, simply believing that a machine did the creative heavy lifting can be enough to diminish a person’s sense of purpose in completing a related task, even if the work itself is unchanged.

The Brookings analysis frames this as a broader concern for the future of work, particularly as generative AI tools become more embedded in creative, administrative and professional workflows. If employees perceive that AI is doing the substantive creative labor, the research suggests they may disengage psychologically from their own contributions, potentially undermining productivity, job satisfaction and innovation over time.

Implications for Workplaces Adopting AI Tools

The findings arrive at a moment when businesses across sectors are rapidly integrating generative AI into daily operations, from drafting text and designing visuals to producing code and marketing content. The Brookings research suggests that how organisations frame the role of AI in these processes—and how transparent they are about the division of labor between human and machine—could matter as much as the technology’s actual capabilities.

For employers, the implication is that simply introducing AI tools without addressing how employees perceive their own contribution could inadvertently reduce morale and engagement, even in cases where AI is used to support rather than replace human creativity. The research underscores the importance of workplace communication and task design when rolling out AI systems, particularly in creative and knowledge-based roles.

The Gulf region has positioned itself as a global hub for AI adoption, with governments across the UAE and wider GCC investing heavily in national AI strategies, smart government initiatives, and AI-driven business transformation across finance, media, retail and the public sector. As regional companies and government entities continue to integrate generative AI into creative and administrative workflows, the Brookings findings carry direct relevance for how these tools are introduced to the workforce.

For UAE and GCC employers pursuing ambitious AI integration targets, the research suggests that attention to employee perception—not just technological deployment—may be essential to sustaining productivity and engagement. As the region continues to position itself as a testbed for enterprise AI adoption, understanding the psychological dynamics between human workers and AI systems could prove as important as the technical rollout itself.

Brookings’ research adds to a growing body of work examining the human side of AI adoption, moving beyond questions of efficiency and output quality to explore how perceptions of machine involvement shape human behavior and motivation in the workplace. The full implications for long-term productivity and workforce well-being are likely to remain a focus of ongoing study as AI tools become further embedded in daily professional life.

Tags: AI adoptionAI authorshipBrookings researchemployee engagementgenerative AIhuman-machine collaborationworkplace motivationworkplace psychology
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