AI-driven labor displacement: systemic automation risks and the fight for equitable work futures

Indigenous epistemologies reject the separation of work from land, community, and spirituality, framing AI-driven automation as a violation of relational labor ethics. Systems like the Andean *ayni* (reciprocal labor) or Māori *manaakitanga* (care-based work) highlight how dehumanized efficiency metrics erode social fabric. The absence of these voices in the AI-job loss debate reflects the colonial erasure of non-Western economic models that prioritize collective well-being over GDP growth.

Technological unemployment is not new—it was a central concern in the Luddite rebellions of the 1810s and the automation waves of the 20th century, which consistently displaced workers without safeguarding livelihoods. Each wave was followed by policy failures: the 1930s saw mass unemployment despite productivity gains, while the 1980s deindustrialization in the U.S. and Europe led to permanent job losses in manufacturing. The pattern reveals how capitalism’s 'creative destruction' is structurally biased against labor, with AI representing the latest iteration of this dynamic.

In Japan, the concept of *ikigai* (a reason for being) challenges the Western obsession with productivity, suggesting work should align with personal fulfillment and community needs. Scandinavian models of 'flexicurity'—combining labor market flexibility with strong social safety nets—offer a counterpoint to the U.S. and U.K.’s precarious gig economy. Meanwhile, in Kerala, India, the * Kudumbashree* movement shows how collective entrepreneurship can thrive without exploitative automation, yet such alternatives are marginalized in techno-solutionist discourse.

Empirical studies (e.g., Acemoglu & Restrepo, 2020) show that automation reduces employment and wages in exposed regions, with effects persisting for decades. The OECD’s 2018 report highlights that 14% of jobs are at high risk of automation, but this masks regional disparities—e.g., 30% in Eastern Europe vs. 6% in Nordic countries. Meanwhile, research on 'reskilling' programs reveals limited success due to structural barriers like age discrimination and lack of access to education, underscoring the need for systemic interventions beyond individual training.

Artists like Hito Steyerl critique how AI systems aestheticize labor precarity, turning exploitation into 'artistic' disruption. Spiritual traditions from Buddhism to Sufism frame work as a path to enlightenment, not just income, challenging the commodification of time. The absurdity of AI 'stealing' jobs is highlighted in Charlie Chaplin’s *Modern Times*, where machinery dehumanizes workers—a theme eerily echoed in today’s warehouse automation and surveillance capitalism.

Scenario modeling by the ILO suggests that without policy intervention, AI could displace 85 million jobs globally by 2025 while creating only 97 million new ones—net loss of 12 million. Alternative models, such as universal basic services or shorter workweeks, could mitigate displacement but require dismantling extractive profit motives. The 'post-work' future envisioned by thinkers like Kathi Weeks demands reimagining labor as voluntary contribution rather than economic compulsion.

Black and Latino workers are 1.5x more likely to be displaced by automation due to their overrepresentation in routine-based jobs (Brookings, 2019). Women, particularly in Global South economies, face disproportionate risks in care work and garment manufacturing, where AI and robotics are rapidly encroaching. Disabled workers, who often rely on flexible or adaptive employment, are excluded from 'future of work' narratives that assume able-bodied, neurotypical labor. Platform workers in the Global South—e.g., ride-hailing drivers in Kenya or Amazon Mechanical Turkers in India—are systematically excluded from labor protections.

The trickster here is Hermes, god of thieves and messengers, who exposes the hypocrisy of Silicon Valley’s 'disruptors'—stealing jobs while claiming to 'liberate' workers. Erasmus’ *Praise of Folly* satirizes the absurdity of tech elites celebrating automation while demanding subsidies to train workers for jobs they’ve just rendered obsolete. Coyote, the Native American trickster, would gleefully exploit the contradictions of AI ‘efficiency’ to redistribute wealth—if only the system weren’t rigged against such chaos.