Devaluation of Labor & Heightened Economic Inequality
According to a White House report, much of the development and adoption of AI is intended to automate rather than augment work. The report notes that a focus on automation could lead to a less democratic and less fair labor market...In addition, generative AI fuels the continued global labor disparities that exist in the research and development of AI technologies... The development of AI has always displayed a power disparity between those who work on AI models and those who control and profit from these tools. Overseas workers training AI chatbots or people whose online content has been involuntarily fed into the training models do not reap the enormous profits that generative AI tools accrue. Instead, companies exploiting underpaid and replaceable workers or the unpaid labor of artists and content creators are the ones coming out on top. The development of generative AI technologies only contributes to this power disparity, where tech companies that heavily invest in generative AI tools benefit at the expense of workers.
ENTITY
1 - Human
INTENT
3 - Other
TIMING
2 - Post-deployment
Risk ID
mit529
Domain lineage
6. Socioeconomic and Environmental
6.2 > Increased inequality and decline in employment quality
Mitigation strategy
1. Prioritize Investment in Worker Augmentation and Reskilling: Implement enterprise-wide programs focused on cultivating human-AI complementarity skills—such as critical thinking, ethical reasoning, and prompt engineering—to augment existing roles and facilitate task reallocation, thereby mitigating the risk of skill devaluation and displacement into highly automatable tasks. 2. Establish Equitable Labor Governance and Compensation Frameworks: Enact policies that ensure the fair distribution of economic gains from generative AI. This includes establishing intellectual property rights and compensation mechanisms for content creators whose data is utilized in model training and implementing labor standards that improve job quality and wage stability for workers throughout the AI supply chain, especially in data-labeling and oversight roles. 3. Mandate Corporate Transparency and Strategic Workforce Planning: Require organizations to proactively communicate the intended impact of AI adoption on specific job functions, distinguishing between augmentation, substitution, and transformation. This transparency, coupled with continuous labor market monitoring, facilitates anticipatory workforce planning and reduces worker anxiety and distrust associated with potential job loss.