The Hidden Workforce Behind AI: 160 Million Strong

Sociologist Antonio Casilli highlights the hidden workforce behind AI, estimating 160 million data workers globally in 2021, a number that has since grown. These workers, often in the Global South, label data, moderate content, and maintain AI systems, yet are deliberately concealed by tech companies. Casilli's research, spanning 30 countries and over 4,000 interviews, reveals poor pay, psychological toll, and restrictive NDAs that fragment workers. The story underscores the human cost of AI and the ethical implications for the industry. Key signal: Sociologist Antonio Casilli estimates 160 million data workers globally in 2021, with numbers rising since. For hiring leaders, this reveals a critical blind spot: the AI supply chain's reliance on low-cost, often invisible labor. As AI adoption scales, companies must consider the sustainability and ethics of this workforce. The hidden nature of these roles poses risks—from reputational damage to regulatory scrutiny. Understanding this ecosystem is essential for talent strategy, especially as AI reshapes job roles and skill demands. It also highlights potential talent pools and the need for transparent, fair labor practices in AI development. Teksands view: This is a stark reminder that AI's 'autonomy' is a myth. Behind every model are thousands of human workers, often in the Global South, doing the grunt work. For Indian hiring leaders, this is a double-edged sword: India is a major hub for such work, but also faces scrutiny over labor conditions. As AI reshapes hiring, don't ignore the human cost. Build ethical AI supply chains, or risk reputational damage and regulatory backlash. The future of AI talent isn't just about engineers—it's about the invisible workforce too.