Gig workers are endlessly exploited. AI could make more of us share their fate

2026-06-18 · Source: AI (artificial intelligence) | The Guardian · Field: Business & Management — Human Resources & Workforce Development, Operations & Process Management · Depth: Fundamental Awareness, long

Summary

The integration of artificial intelligence is accelerating a shift towards a gig economy, impacting a broader range of workers, including white-collar professionals. In 2024, Klarna replaced hundreds of customer service roles with an AI chatbot, but later rehired human agents in a gig-based "Uber type of set-up" after customer complaints about service quality. Experts like Alexandrea Ravenelle and Mary Gray observe that AI enables companies to convert full-time positions into contract work for cost savings, even if jobs aren't entirely eliminated. A recent Upwork survey indicates 39% of the US workforce (60 million Americans) are already gig workers, a number expected to reach 86 million by 2027. This trend is increasingly affecting knowledge workers, creative professionals, and even highly credentialed individuals like doctors and nurses, who are often compelled into precarious, unprotected gig roles, sometimes training the AI systems that threaten their traditional employment.

Key takeaway

For HR professionals and business leaders evaluating AI integration, recognize that AI adoption can lead to a significant shift towards precarious gig work, not just job elimination. You should critically assess the long-term implications of "gigifying" roles, considering both cost savings and potential impacts on worker protections and service quality. Proactively engage in strategic planning to balance AI efficiency with ethical employment practices and worker well-being, anticipating increased scrutiny and potential unionization efforts.

Key insights

AI adoption is driving a broad "gigification" of the workforce, eroding traditional employment benefits for cost savings.

Principles

• Companies prioritize cost savings over full-time employment benefits.
• AI enables the fragmentation of jobs into gig-based tasks.
• Gig work often strips workers of basic protections.

Topics

• AI Ethics
• Gig Economy
• Labor Market Trends
• Worker Rights
• Employment Models
• Digital Platforms

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, HR Professional, General Interest

Related on AIssential

• Tech Workers Are Fighting Against Silicon Valley’s AI Push — Tech workers are increasingly organizing against AI's impact on jobs, surveillance, and ethics, challenging traditional tech employment norms.
• AI Is Taking Our Jobs.  We Choose Whether That’s Good News or Bad. — Human choices now dictate whether AI becomes a job-replacing villain or a job-enhancing ally.
• ‘Uber for nurses’: gig-work apps lobby to deregulate healthcare, report finds — Gig nursing platforms use AI for algorithmic management, degrading worker protections and pay while lobbying for deregulation.
• The early, most serious labor impact of generative AI is not a Hollywood-style wave of pink slips. It is the quieter, more structural problem of “missing rungs” on the career ladder... — AI's primary labor impact is hollowing out junior roles, creating a talent pipeline crisis rather than mass layoffs.
• Google's James Manyika is betting that doomers are wrong about AI and jobs — AI's impact on jobs is primarily transformative, not eliminative, with full automation occurring much slower than technological advancements.
• Workers Are Afraid AI Will Take Their Jobs. They’re Missing the Bigger Danger. — Worker anxiety over AI job displacement overlooks broader, more significant risks.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by AI (artificial intelligence) | The Guardian.