AINEWS
Andrew Yang's next bet: startups that pay you back
The former presidential candidate just launched Nobile Mobile, a budget wireless carrier that rebates customers for using less data.
The former presidential candidate just launched Nobile Mobile, a budget wireless carrier that rebates customers for using less data.
When Mark Cuban launched Cost Plus Drugs in 2022, the pitch was simple: sell generic pharmaceuticals at the manufacturer's cost plus a flat $15 pharmacy, dispensing, and shipping fee. No insurance games, no rebate labyrinths, no markup. The company has since become the public proof point for a startup archetype that Andrew Yang, the entrepreneur and former 2020 Democratic presidential candidate, now argues is the defining opportunity of the next decade.
In September 2025, Yang joined the cohort himself with Nobile Mobile, a mobile virtual network operator (an MVNO is a carrier that rents wireless capacity from larger networks instead of building its own) that resells service at lower rates and, in a notable inversion of carrier economics, rebates customers who use less data. As Yang put it in a recent Equity podcast appearance, summarized by TechCrunch's Rebecca Bellan, the model is to "give money back instead of extracting it" when usage is low (TechCrunch).
Nobile Mobile is the latest entry in a category Yang is now naming. Cost Plus Drugs, run by Cuban's company, is the most-cited template. To it Yang adds Light Phone, a minimalist device marketed as an antidote to smartphone overuse, and Misfits Market, which resells surplus or cosmetically imperfect groceries at a discount instead of letting them go to waste. The verticals on Yang's list are the basic inputs of a household budget: housing, education, food, fuel, transportation, media, and wireless.
The macro story Yang is selling to explain why the category is surfacing now is straightforward and bleak. As AI compresses wages and displaces workers, consumer purchasing power falls. The opportunity, in his framing, is to build startups that reduce the cost of baseline categories and capture the resulting demand. It is a thesis that draws on his longstanding advocacy for universal basic income, though Yang is careful to position the give-back-the-margin approach as something the private sector can do without waiting on Washington.
There is a structural caveat the category's cheerleaders tend to underplay. The model works best on verticals with structurally fat margins. Pharmaceutical list prices in the United States carry markups that bear no clear relationship to manufacturing cost. Wireless carriers spend heavily on customer acquisition and retention, leaving room for a leaner reseller. Grocers routinely destroy edible surplus. Those are unusual conditions. Translating the playbook to housing, education, or fuel, where the cost is closer to the input, is a much harder problem. The startup that cracks basic-needs verticals without those fat margins has not yet appeared.
The most useful frame is also the simplest: identify a basic-need vertical with structurally fat margins, then return the margin to the customer. It is a buildable thesis in a season when most startup discourse is about AI anxiety or platform consolidation. Whether the playbook survives contact with thinner-margin categories is the question worth watching.