Andrew Yang says the next startup wave isn’t building AI. It’s lowering the cost of living.

At a glance:

• Andrew Yang argues that AI-driven job displacement creates a market opportunity for startups focused on reducing living costs.
• Noble Mobile, a mobile virtual network operator, exemplifies this model by offering discounted service and profit-sharing with users.
• Venture capital continues to prioritize AI investments, leaving social-impact startups with limited funding despite growing workforce automation.

The Cost of Living Opportunity

Andrew Yang, former presidential candidate and universal basic income (UBI) advocate, has shifted his focus from policy solutions to market-driven alternatives. In a recent TechCrunch interview, Yang outlined a contrarian thesis: as artificial intelligence compresses wages and eliminates entry-level jobs, the next major startup opportunity lies in companies that reduce the cost of basic necessities. He identifies housing, education, food, fuel, transportation, media, and wireless as key sectors where innovation can lower expenses for displaced workers.

This perspective challenges the prevailing venture capital narrative, which has funneled over $700 billion into AI infrastructure this year alone. Yang’s argument hinges on a fundamental economic reality: even the most extractive tech companies depend on consumers with sufficient purchasing power. "The value being concentrated in the hands of a handful of folks and firms is just bad for everybody," he said, emphasizing that reduced consumer spending power threatens long-term market sustainability.

Noble Mobile: A Model for Shared Value

Yang’s proof of concept is Noble Mobile, a mobile virtual network operator (MVNO) he launched in September 2023. The company offers cell service at significantly lower prices than traditional carriers and returns money to customers who use less data. Yang claims the service has attracted "thousands and thousands" of subscribers and generates "millions in revenue," with unit profitability per customer. The model draws inspiration from Mark Cuban’s Cost Plus Drugs, which sells pharmaceuticals at cost plus a flat markup, and aligns with similar ventures like Misfits Market (discounted groceries) and Light Phone (minimalist hardware).

"We’re unit profitable per customer, but we just share the profits with our subscribers with the idea that it’ll make you happy, you’ll stay around, and maybe you’ll tell your friends and family," Yang explained. This approach contrasts sharply with traditional tech models that prioritize margin extraction over consumer benefit. By reinvesting profits into user savings, Noble Mobile aims to create a sustainable business while addressing affordability concerns.

Investor Challenges in a Capital-Constrained Landscape

Despite Yang’s optimism, securing investment for cost-reduction startups remains difficult. Venture capitalists, he notes, are primarily interested in AI companies, often dismissing ventures with thin margins and social missions. "I had at least one investor say to me around Noble Mobile, ‘Love you, Andrew, want to work with you if you could just make this an AI company, we’ll invest,’" Yang recalled. This bias reflects broader market trends favoring high-growth, high-margin AI ventures over businesses tackling systemic affordability issues.

The disconnect highlights a tension between immediate investor returns and long-term societal needs. While AI startups promise rapid scalability and profitability, Yang’s model requires patience and a willingness to prioritize social impact. This dynamic may explain why similar ventures, such as Misfits Market and Light Phone, remain niche despite their potential to address widespread financial strain.

Workforce Displacement and the Automation Reality

Yang’s thesis is grounded in emerging data on AI-driven job losses. Goldman Sachs estimates that 16,000 U.S. jobs are being eliminated monthly due to automation, with entry-level positions bearing the brunt of the impact. This trend validates concerns Yang raised during his 2020 presidential campaign about the need for proactive solutions to economic displacement.

The implications extend beyond individual companies. As AI reshapes labor markets, the purchasing power of middle- and lower-income consumers could decline, creating a feedback loop that undermines economic growth. Yang argues that startups addressing cost-of-living pressures can mitigate this risk by ensuring that displaced workers retain access to essential services and goods.

UBI and Market-Based Alternatives

While Yang remains a proponent of universal basic income, he expresses skepticism about government’s ability to deliver it effectively. "There is room for a direct connection between the money and the people," he said, suggesting that market-driven solutions may fill gaps left by policy failures. For instance, a $50 monthly saving—if invested and compounded over 40 years—could accumulate to approximately $24,000, enough for a retirement down payment. This calculation underscores the long-term potential of cost-reduction models to address financial insecurity.

Yang’s pivot from policy advocacy to entrepreneurial solutions reflects a pragmatic approach to systemic challenges. By creating businesses that inherently redistribute value to consumers, he aims to build a bridge between technological progress and economic stability.

The Contrarian Venture Capital Narrative

Yang’s argument directly challenges the venture capital community’s AI-centric focus. With $700 billion invested in AI infrastructure this year, the market has largely overlooked opportunities in affordability-focused innovation. However, his logic resonates with growing concerns about wealth concentration and its impact on consumer markets. "There are some folks I know in Silicon Valley who are open to that for a variety of reasons, like they just don’t want to have to hire private security," he said, highlighting the interconnectedness of economic inequality and social stability.

This perspective positions cost-reduction startups as both profitable ventures and essential infrastructure for a post-AI economy. As automation accelerates, the success of such companies may determine whether technological progress benefits broad populations or exacerbates existing disparities.