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As Gen Z reports record-low optimism regarding AI, new platforms like Tess are attempting to address ethical concerns through artist royalty models.
Young adults are increasingly expressing resentment toward the rapid integration of generative AI into their education and professional lives [1]. While a majority of Gen Z continues to use these tools, polling data indicates a growing cultural backlash driven by fears regarding job displacement, environmental impacts, and the erosion of critical thinking [1].
Key takeaways
The tension between AI developers and young users is intensifying as universities and employers mandate the use of generative tools [1]. Many students report that their institutions are prioritizing AI integration through multimillion-dollar partnerships with companies like OpenAI and Anthropic, often without clear guidelines [1]. This "integrate first, find use cases later" strategy has led to student-led protests and letters of opposition at institutions such as the University of Pennsylvania and Oberlin College [1]. For many young professionals, the pressure to adopt AI is compounded by a difficult job market where automation tools are increasingly used to filter applications [1].
While some users are attempting to avoid AI entirely, others are looking for alternatives that address the industry's ethical shortcomings, particularly regarding copyright and artist compensation [1, 2]. Traditional image generators have faced criticism for scraping web data without permission or credit [2]. In response, the San Francisco-based company Kapwing launched an image generator called Tess, which is marketed as an "ethical" alternative [2]. Tess operates by creating dedicated models for individual artists, who then receive a 50/50 split of subscription revenue based on how often their style is utilized [2]. The company reports that it has paid out over $15,000 in royalties to its 15 initial collaborating artists [2].
The divide between the tech industry’s aggressive push for AI and the public’s growing skepticism suggests a potential shift in how these tools will be accepted in the future [1]. As Gen Z continues to navigate a landscape where AI is embedded in both their education and potential careers, the demand for transparency and ethical accountability is rising [1]. While platforms like Tess attempt to create a more sustainable model for creators, the broader concerns regarding the impact of AI on human communication, critical thinking, and job security remain central to the ongoing debate [1, 2]. Whether these "ethical" alternatives can mitigate the widespread resentment toward AI remains unclear as the technology continues to evolve [1, 2].
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