Summary
Alexandr Wang, the 27-year-old founder of Scale AI, has secured a $14.3 billion investment from Meta, propelling his personal net worth to over $3.6 billion. While media narratives highlight his brilliance and rapid success, they often overlook the foundation of Scale AI’s business model: a global workforce of over 240,000 low-paid data labelers working through its Remotasks platform.
These workers, based in countries like Venezuela, the Philippines, and Kenya, perform essential tasks such as training AI models and annotating data—often for as little as $0.90 an hour. Despite Wang’s public acknowledgment of the importance of human labor in AI development, working conditions include late payments, no labor protections, and psychologically taxing assignments.
Scale AI’s practices reflect a broader industry pattern: leading tech companies like OpenAI, Meta, and Tesla also rely on outsourced labor in the Global South for key parts of their AI pipelines. The article questions whether current structures are ethical or sustainable, and calls for greater transparency, global labor standards, and more inclusive definitions of innovation and value creation in tech.
Beyond the Algorithm
At just 27 years old, Alexandr Wang has made headlines with one of the largest tech deals of the year: Meta’s $14.3 billion investment in Scale AI, the company he founded after dropping out of MIT. According to Forbes, his personal net worth now exceeds $3.6 billion. The story fits a familiar mold: brilliant young mind, disruptive startup, meteoric success.
Scale AI presents itself as an artificial intelligence company, but its business model relies heavily on something deeply human: the labor of over 240,000 people working globally via its Remotasks platform. These workers annotate data, train algorithms, and refine AI models from countries like Venezuela, the Philippines, Kenya, and dozens more.
Wages vary significantly by region. In Venezuela, workers report earning between $0.90 and $2.00 per hour. In the Philippines, rates often fall below the local minimum wage. In the United States, the same tasks can pay between $10 and $25 an hour.
This structure is neither hidden nor incidental. Wang has publicly acknowledged that human workers are “very important to the process of building powerful AI systems” and that “we’ll always want a human in the loop.”
A Broader Ecosystem
Scale AI is part of a larger pattern. OpenAI employs content moderators in Kenya earning about $2 an hour. Tesla and Google train their self-driving systems with data labeled in Latin America. Meta outsources a significant portion of its content moderation to the Global South.
Workers in these digital supply chains face unique challenges: delayed or withheld payments, opaque evaluation systems leading to sudden terminations, and freelance contracts that bypass traditional labor protections.
Last year, a group of 100 AI workers in Kenya wrote an open letter to President Biden describing their working conditions as “modern-day slavery.” Their concerns go beyond wages: they include lack of transparency in performance reviews, absence of appeals processes, and the psychologically taxing nature of tasks like moderating violent content.
Questions Without Easy Answers
This reality raises difficult questions about contemporary tech development. How do we balance the need for massive training datasets with fair labor practices? What obligations do tech companies have toward workers they don’t technically employ?
Wage differences across regions are not inherently problematic—they reflect variations in living costs and labor markets. What’s troubling is the lack of transparency and the absence of meaningful labor protections.
Wang argues that Scale AI is democratizing access to AI work, creating economic opportunities in regions with few alternatives. Critics counter that these opportunities come without the safeguards normally associated with formal employment.
Beyond the Hero Narrative
The story of Scale AI highlights a broader tension within the tech industry. Individual success stories—the visionary founder, the disruptive startup—only capture part of a complex economic system that depends on the work of thousands.
This is not about demonizing innovation or entrepreneurship. It’s about building more complete frameworks for understanding how value is created in the digital economy. The most advanced algorithms in the world still depend on human judgment, human labor, and human decisions. Recognizing this reality can help spark more productive conversations about how to structure these systems more equitably.
As we celebrate breakthroughs in artificial intelligence, it’s worth asking: what kinds of work are we automating—and what kinds are we simply undervaluing? The answer may shape not just the future of AI, but the future of work itself.
References
Kaplan, J. (2025, June 11). A frustrated Zuckerberg makes his biggest AI bet as Meta nears $14 billion stake in Scale AI, hires founder Wang. CNBC. https://www.cnbc.com/2025/06/10/zuckerberg-makes-metas-biggest-bet-on-ai-14-billion-scale-ai-deal.html
Metz, C. & McCormick, R. (2023, August 29). Scale AI’s Remotasks workers in the Philippines cry foul over low pay. The Washington Post. https://www.washingtonpost.com/world/2023/08/28/scale-ai-remotasks-philippines-artificial-intelligence/
Perrigo, B. (2023, January 18). OpenAI used Kenyan workers on less than $2 per hour: Exclusive. TIME. https://time.com/6247678/openai-chatgpt-kenya-workers/
Stahl, L. (2024, November 24). Kenyan workers with AI jobs thought they had tickets to the future until the grim reality set in. CBS News – 60 Minutes. https://www.cbsnews.com/news/ai-work-kenya-exploitation-60-minutes/
AI Workers in Kenya. (2024, May 22). Open letter to President Biden from tech workers in Kenya. Foxglove. https://www.foxglove.org.uk/open-letter-to-president-biden-from-tech-workers-in-kenya/
Weinberg, C. (2025, June 22). The inside story of Scale AI cofounder Alexandr Wang’s rise and the $14 billion Meta deal. Fortune. https://fortune.com/2025/06/22/inside-rise-scale-alexandr-wang-meta-zuckerberg-14-billion-deal-acquihire-ai-supremacy-race/
