The rise of generative artificial intelligence has led to an unexpected demand for poets and creative writers to assist in training AI models. Companies such as Scale AI and Appen are seeking linguists with advanced degrees to help develop high-quality training data by providing feedback and writing literary samples in multiple languages. This trend highlights a shift from using generic data workers to specialized professionals, as AI firms aim to improve their capabilities in generating nuanced and creative writing forms. However, the reliance on creative writers raises concerns regarding copyright infringement, especially as lawsuits emerge targeting major AI developers. The landscape of AI training is evolving, with experts emphasizing the need for originality amidst growing scrutiny of the ethical implications of using creative content.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Poets sought by AI companies for training data | Shift from general data workers to poets | Increased reliance on skilled writers for AI | Demand for high-quality creative training data |
| Emergence of literary language jobs in AI | Transition from basic data roles to creatives | Diversification of job roles in tech sectors | Competitive edge in generative AI capabilities |
| Creative writers enhance AI literary quality | Change from mundane text to rich storytelling | AI-generated texts exhibit higher art forms | Advancement of AI replication and creativity skills |
| Rising pay for specialized language experts | Shift from low to higher-paid specialized roles | Financial stability for creative professionals | Market demand for nuanced cultural expression |
| Professionalization of data annotators | Transformation from casual to expert roles | Highly trained creatives as data sources | Heightened standards for AI training data quality |
| Increased copyright concerns with AI usage | Move towards legally compliant data practices | Established rights for creative contributions | Pressure from legal actions in creative industries |
| Focus on multilingual creative writing | Change from mono-lingual to more inclusive work | Broader representation of global literary styles | Globalization and diversity in AI content creation |
| Companies rely on creative professionals for AI | Shift from automated scraping to expert input | Unique, tailored AI outputs in various languages | Pursuit of innovation and originality in AI texts |