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Glossy Research: 1 in 4 executives expects AI to replace jobs within their company in the next 12 months

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By Danny Parisi
Apr 27, 2026

Glossy+ Research is your destination for in-depth, data-driven analysis at the intersection of fashion, beauty, and retail. This exclusive category delivers actionable intelligence on the industry’s most pressing topics—from evolving consumer behaviors and digital marketing strategies to the impact of tariffs, supply chain shifts, and emerging design talent. Stay ahead with exclusive briefings, expert commentary, and proprietary research that empower brands, marketers, and executives to make informed decisions. Whether you’re seeking the latest on advertising innovations, e-commerce trends, or the business implications of cultural moments, Glossy+ Research provides the clarity, context, and foresight you need to navigate a rapidly changing landscape. Unlock the competitive edge with Glossy+ Research—where industry leaders turn for trusted insights and strategic guidance.

Much has been made about the potential for AI to replace humans and make their jobs obsolete, but the reality is far from clear.

In the fashion and beauty industries, AI is widely used for data analysis and other back-end purposes, but that has yet to clearly and significantly translate into layoffs or redundant positions.

At Glossy’s AI Marketing Strategies event, co-hosted with our sister publications Digiday and Modern Retail, our research team surveyed dozens of business workers. We asked them multiple questions about how their companies are using AI, where they’d rank their companies’ AI efficiency and how likely AI is to replace jobs at their companies in the near future.

Only 25% of respondents said AI is likely to replace jobs at their organizations over the next year. Glossy’s finding is consistent with other research on the topic, such as a recent Boston Consulting Group study that found AI is more likely to alter existing jobs rather than replace them outright.

But exactly how they’re being reshaped is still up in the air. Other findings from our research show that companies are nearly evenly split on whether they have clearly defined policies for AI use, according to workers.

But despite the divide over clear policies, a large majority of our surveyed respondents said their companies are encouraging AI use. The lack of clear policies, coupled with strong encouragement, reflects a period where experimentation to find the best uses for AI is the norm.

Notably, only a small number of companies are actively rewarding AI use, while a relatively equal number are seeing little AI use or have banned it internally.

Finally, our respondents’ confidence in their companies’ AI strategies was mixed. Few respondents rated their companies as significantly ahead or significantly behind their competitors in AI usage and efficiency. Most respondents placed themselves somewhere in the middle, with a slight edge toward being somewhat behind competitors.

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