Startups That Give Money Back Are the Next Big Opportunity as AI Reshapes Costs

The idea: startups that give cash back instead of taking it

Entrepreneur Andrew Yang argues that the next wave of high-impact startups will focus on lowering the cost of living by returning money to customers rather than extracting it. Inspired by companies like Cost Plus Drugs—an online pharmacy selling prescription medicines at cost—Yang has cataloged categories where people routinely overpay: housing, education, food, fuel, transportation, media, and wireless service. The thesis is straightforward: when wages are under pressure from automation and AI, households will prioritize vendors that actively cut their expenses rather than add new ones. This flips the traditional startup playbook—value is measured not by how much a company can charge, but by how much it can return.

Yang’s own move into this space began with Noble Mobile, a mobile virtual network operator launched in late 2025 that sells cellular service at below-industry rates and returns cash to customers who use less data than their plan allows. It is a concrete example of a business model built on giving value back. Other early entrants include Light Phone, which sells minimalist “dumb phones” at low prices, and Misfits Markets, an online grocer that cuts food costs by selling surplus and imperfect produce. Together, these companies point to a broader pattern: when basic needs become harder to afford, startups that directly reduce those costs—or refund excess spending—can scale quickly and build durable customer loyalty.

Why AI is accelerating the search for cost relief

Yang’s argument hinges on the economic impact of AI. As generative AI systems automate knowledge work, white-collar productivity rises but wages in many sectors stagnate or decline. Blue-collar and service jobs face similar pressure from robotics and algorithmic management. The net effect is that household purchasing power is likely to compress even as headline GDP grows. In this environment, consumers become highly sensitive to recurring expenses like phone bills, grocery totals, and utility costs. A startup that can reliably shave even a few dollars off a monthly bill can win outsized market share simply by improving cash flow for stretched households.

This dynamic is not theoretical. Yang’s 2020 presidential campaign popularized the idea of Universal Basic Income as a buffer against AI-driven displacement. While UBI remains a political debate, the operational logic has shifted to the private sector: instead of waiting for policy, startups can immediately deliver cost relief by redesigning supply chains, cutting middlemen, or sharing savings directly with users. The companies that succeed will be those that treat refunds or discounts not as marketing gimmicks, but as core product features baked into pricing and operations.

Wireless as a proving ground: Noble Mobile’s model

Wireless service is a textbook case of overpricing. Major carriers bundle expensive handsets with multi-year contracts, inflate data allowances, and tack on hidden fees. Noble Mobile strips this model down to a simple proposition: pay only for the data you use, and get cash back when you use less. The company operates as a mobile virtual network operator (MVNO), leasing network access from larger carriers but selling service at cost plus a small margin. Because Noble does not subsidize phones or lock customers into long contracts, its overhead is lower and refunds become feasible. Early adopters report saving tens of dollars per month compared with traditional carriers, a meaningful amount in a category where household budgets are increasingly scrutinized.

The broader implication is that connectivity—once treated as a luxury—is becoming a utility that households will aggressively optimize. If AI-driven job changes reduce disposable income, families may downgrade from premium unlimited plans to metered services that reward frugality. This creates a flywheel: as more users join cost-focused carriers, incumbents are forced to simplify pricing or risk losing share. For founders, the lesson is clear: in categories with recurring bills, a refund or discount feature can differentiate a product more effectively than a feature list.

Groceries and hardware: Misfits Markets and Light Phone

Online grocery startup Misfits Markets targets food waste and overpriced produce by sourcing imperfect fruits and vegetables directly from farms and selling them at up to 30 percent below conventional retailers. The company’s value proposition is twofold: lower prices for shoppers and a sustainable revenue stream from otherwise discarded inventory. By focusing on cost reduction rather than premium branding, Misfits has grown rapidly in regions where inflation has made staples less affordable. Customers receive weekly deliveries with transparent pricing, and the company reinvests savings from reduced waste into even lower prices.

Light Phone, a minimalist mobile device with a monochrome screen and no apps, sells a stripped-down alternative to smartphones for around $300. Its pitch is not about features, but about eliminating recurring costs: no app store fees, no data overages, no subscription services. For users who prioritize control over connectivity, the phone becomes a tool for intentional spending. The company’s success shows that hardware, too, can be repositioned around cost relief rather than premiumization. As AI tools make smartphones more expensive—through higher-end components and subscription services—Light Phone’s model highlights a counter-trend: affordability as a design principle.

Education and housing: two frontiers still wide open

Education and housing remain the largest household expenses where startups have yet to deliver systematic cost relief. In higher education, the student debt crisis and rising tuition have made affordability a national issue. Startups like Outlier.org and Western Governors University have experimented with competency-based pricing and online delivery to cut costs, but most models still rely on traditional tuition structures. Yang’s framework suggests an opportunity for platforms that refund tuition when students complete programs early, or that share savings from open educational resources with learners. Similarly, in housing, startups could target renters by offering rent-to-own models with price locks or by building co-living spaces with below-market rents funded by shared amenities.

The common thread is that both sectors are information-intensive and rife with intermediaries extracting fees. By using software to match supply and demand more efficiently—whether for courses, rental units, or shared living spaces—startups can redistribute value back to users. The challenge is regulatory complexity and capital intensity, which may slow entry compared with wireless or groceries. Yet the prize is large: education and housing together represent trillions in annual spending.

How to build a startup that gives money back

Founders entering this space should start by mapping the cash flows in their target category. Identify where middlemen, bundling, or artificial scarcity inflate prices. Then design a pricing model that shares those savings with customers—for example, a subscription that refunds unused capacity, a marketplace that passes on wholesale discounts, or a hardware product that eliminates recurring fees. Transparency is critical: customers must trust that refunds or discounts are real, not gimmicks. This often requires auditable pricing, open ledgers, or third-party verification.

Operations must also align with the value proposition. If a company promises to return cash, it needs lean cost structures and predictable supply chains. For MVNOs like Noble Mobile, that means negotiating favorable network access and avoiding phone subsidies. For grocers like Misfits Markets, it means direct procurement and efficient logistics to sustain low margins. Hardware makers like Light Phone must control component costs without sacrificing reliability. In all cases, customer acquisition should emphasize tangible savings—showing a side-by-side bill comparison or a running refund total—rather than aspirational branding.

Regulatory and competitive risks to watch

Startups that aggressively cut prices can trigger pushback from incumbents with deeper pockets and entrenched relationships. In wireless, major carriers have historically subsidized devices to lock users into ecosystems; an MVNO that refuses subsidies may face higher customer acquisition costs. In groceries, conventional retailers can use private-label brands to undercut insurgents on price while maintaining scale. Regulatory scrutiny is another risk: in healthcare-adjacent categories like pharmaceuticals, cost-plus models may attract attention from drug pricing watchdogs or pharmacy benefit managers seeking to preserve margins.

Founders should also consider how their refund or discount mechanisms interact with existing financial regulations. For example, cash-back features that function like rebates may need to comply with consumer protection laws or tax reporting rules. Transparency about how savings are calculated and distributed will be essential to avoid allegations of deceptive practices. The best defense is a clear, documented process that customers can audit.

What’s next for the “give-back” startup wave

The next phase of this trend will likely see startups apply the cost-return model to higher-value categories such as energy, insurance, and healthcare services. In energy, for instance, a smart thermostat company could refund customers when their usage falls below a baseline. In insurance, usage-based auto policies already return premiums for safe driving; startups could expand this to health or home insurance by sharing savings from preventive care or home maintenance. In healthcare, direct primary care clinics that charge flat monthly fees could refund unused consultation credits, creating a cash-back effect tied to preventive behavior.

AI itself will play a dual role: it will continue to compress wages, increasing demand for cost relief, while also enabling startups to optimize pricing and logistics in real time. Companies that combine AI-driven personalization with transparent, refund-based pricing could achieve both customer loyalty and operational efficiency. Watch for consolidation as category leaders acquire smaller players to expand into adjacent markets—wireless companies buying energy platforms, for example, to offer bundled savings.

Practical takeaways for founders, investors, and consumers

For founders, the clearest opportunity is in categories with recurring bills and high customer churn—mobile service, insurance, streaming, and utilities. Start by analyzing the unit economics: if a company can reduce a customer’s monthly expense by 10 percent or more, that saving becomes a powerful differentiator. Investors should look for teams that prioritize cost transparency and operational efficiency over growth-at-all-costs metrics. Metrics like “customer lifetime savings” or “refund-to-revenue ratio” can reveal whether a startup is truly aligned with its value proposition.

Consumers should evaluate vendors not just on features, but on how much they return in cash or value over time. Simple tools like side-by-side bill comparisons or refund dashboards can help. When evaluating a new service, ask: does this company make money when I spend more, or when I spend less? The latter is a stronger signal of alignment with long-term affordability.

A changing economy demands changing business models

Andrew Yang’s thesis—that startups can thrive by giving money back—reflects a deeper shift in the economy. As AI and automation reshape work, the real currency for households is disposable income, not access to premium services. The companies that succeed will be those that treat affordability not as a niche, but as a core product principle. Whether through refunds, discounts, or shared savings, the next generation of startups may well be defined by how much they return to their customers—not how much they extract.