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Why restricting graduate loans will bankrupt America’s talent supply chain

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Federal Reserve Chair Jerome Powell said at his December 10 press conference that the U.S. labor market is becoming increasingly K-shaped: growth, opportunity, and resilience accrue to those with assets, while everyone else absorbs volatility.

What’s becoming clear is that this divide is no longer confined to the labor market. It’s now embedded in its foundation: education.

When access to advanced degrees depends not on ability or workforce demand, but on whether a household can absorb six figures of upfront cost, stratification accelerates. The upper branch compounds advantage through credentialed mobility. The lower branch absorbs risk, debt, and stalled progression.

That dynamic isn’t neutral. It’s destabilizing.

That is exactly what the restructuring of federal graduate student lending under the One Big Beautiful Bill Act (OBBBA) does. Framed as fiscal discipline, it quietly rewires who gets to advance in the American economy—and who pays more just to try.

A Two-Tiered Talent System

Beginning July 1, 2026, the OBBBA eliminates the Graduate PLUS loan program and replaces it with lifetime federal borrowing caps. Students in a narrow set of “professional degrees” may borrow up to $200,000. Everyone else, regardless of licensure requirements or labor-market demand, is capped at $100,000.

This distinction isn’t grounded in labor force need. It’s grounded in academic prestige.

Medical and law degrees qualify for the higher cap. Advanced nursing, social work, education, and public-health degrees do not, despite requiring licensure, despite severe labor shortages, and despite being the backbone of the care economy.

For many students, that $100,000 cap isn’t theoretical. It’s binding. Especially for those who already carry undergraduate debt, it can mean running out of federal aid before finishing a required degree.

That’s not cost containment. It’s credit rationing.

And when the federal backstop disappears, students don’t stop needing capital. They’re pushed into the private market, where interest rates are higher, protections are weaker, and access depends on credit history or family wealth.

From Merit to Capital

Yale Law Professor Daniel Markovits, author of The Meritocracy Trap, argues that our modern systems of advancement have created a new aristocracy, where the elite maintain dominance not through titles, but through the monopolization of expensive human capital.

Graduate education has now been folded directly into that system. In my recent discussion with Karen Boykin-Towns, Vice Chair of the NAACP National Board of Directors, and Keisha D. Bross, the NAACP’s Director of Opportunity, Race, and Justice, we identified how the OBBBA accelerates this dynamic, creating a capital-versus-merit system.

By capping federal loans while eliminating Grad PLUS, the government isn’t discouraging debt. It’s outsourcing access to private capital. Families with liquidity pay tuition directly. Everyone else pays interest, often at double the rate. This creates a sharp bifurcation:

  1. The Upper Branch: Students with “Capital” (generational wealth or family assets) can bypass the cap using private resources, continuing their upward trajectory into high-value careers.
  2. The Lower Branch: Students with only “Merit” (talent and drive but no family wealth), disproportionately Black women, are shut out.

The result isn’t meritocracy. It’s capital-screened mobility.

And when capital, not capability, determines who becomes a nurse practitioner, a clinical social worker, or a public-health leader, the economy doesn’t get leaner. It gets weaker.

The Intersectional Cost of ‘Money Out

These loan changes don’t hit all workers equitably.

Women dominate the fields most affected by the lower cap. At least 80% of degree holders in nursing, social work, and elementary education are women. These are precisely the programs now classified as “non-professional.”

Even within the same occupations, women earn less than men. Forcing them to finance advanced degrees with higher-cost private loans raises debt-to-income ratios at career entry, increasing default risk and long-term financial strain.

For Black women, the impact is sharper still.

Black women who attended graduate school hold approximately $58,000 in federal student debt on average, more than white women or Black men. Nearly half of the Black–white student debt gap is driven by graduate borrowing, reflecting how essential advanced degrees are for upward mobility in the absence of intergenerational wealth.

Black women are also heavily concentrated in healthcare and social services, fields now subject to the $100,000 cap. Remove Grad PLUS, and the math changes fast.

Federal graduate loans currently carry fixed rates under 9%. Private loans can soar as high as 18%, particularly for borrowers without prime credit or co-signers. That gap isn’t abstract. It’s interest compounding over decades. 

Consider a Black woman pursuing an MSW who needs $30,000 beyond the new federal cap to finish her degree. Forced into the private market, she trades a federally protected 9% rate for a predatory 18% rate.

This shift actively destroys the capacity to build generational wealth. This is also a multigenerational risk: Black women are the breadwinners in 52% of Black households with children. When we financially hobble the primary earner, we are not just restricting her mobility; we are capping the economic future of the 9 million children relying on those households.

We are cannibalizing future retirement security to pay for today’s policy experiment.

Educated, and Still Locked Out

Economic policy is never gender-neutral, and it is rarely race-neutral. The OBBBA financing caps disproportionately target Black women, a demographic that serves as a linchpin in both the educated workforce and the Care Economy.

There’s a persistent myth that student debt reflects low completion or poor outcomes. The data tells a different story. In interviews conducted with NAACP leadership, they shared job-fair data showing that more than 80% of applicants held a bachelor’s degree or higher. These are educated workers, many with advanced training, struggling to access stable, well-paid roles.

They did what the system asked. They earned credentials. They pursued licensure. And now the rules are changing underneath them. That isn’t a failure of effort. It’s a failure of policy design.

The $290 Billion Macroeconomic Bill

The consequences don’t stop at individual balance sheets. The sectors pushed into the lower loan cap, nursing, social work, and public health, are already facing acute shortages. The U.S. currently has an estimated 1.8 million vacant care jobs.

Failure to address these shortages is projected to cost the economy roughly $290 billion per year in lost GDP by 2030.

When the talent pipeline narrows:

  • Employers compete harder for fewer workers, driving wage and signing-cost inflation.
  • Turnover rises. During the pandemic alone, excess nursing turnover cost between $88 billion and $137 billion.

This is how a student-loan rule becomes a productivity drag.

What a Smarter System Looks Like

If the goal is fiscal responsibility and economic growth, there is a better path.

First, the definition of “professional degree” must reflect labor-market reality, not academic hierarchy. Licensed, high-shortage fields like advanced nursing and clinical social work should qualify for the higher cap. We must value the labor that sustains society as highly as the labor that litigates it.

Second, we need non-debt investment in critical workforce education. Grants and fellowships targeted to shortage fields reduce long-term risk while maximizing return. A graduate degree delivers an estimated net lifetime value of over $300,000 for women. That value should accrue to the economy, not be siphoned off by interest payments.

Third, employers must recognize this as a supply-chain issue. Talent doesn’t appear by accident. Corporate co-investment in education, through tuition support and loan forgiveness, offers one of the highest returns available. Global research suggests health workforce investments can generate returns of up to 10-to-1.

The OBBBA was designed to manage debt. In its current form, it manufactures fragility. It hardens the K-shaped economy at its foundation. It substitutes capital for merit. And it weakens the very labor force the economy depends on to grow.

If we care about productivity, competitiveness, and long-term stability, this is the wrong place to cut. America doesn’t have a talent shortage problem. It has an access problem. And this policy just made it worse.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

This story was originally featured on Fortune.com



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There are more self-made billionaires under 30 than ever before—11 of them have made the ultra-wealthy club in the last 3 months thanks to AI

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While many Gen Zers are struggling to land entry-level jobs thanks to AI, the same technology is also fueling a new wave of young billionaires. This year, the number of self-made billionaires under 30 hit an all-time high, as entrepreneurial young people have turned growing up with smartphones into billion-dollar startups. 

In 2025, there were more self-made billionaires in their 20s than ever before—about 13 people higher than from a previous record of 7—according to an analysis from Forbes. 

And most have experienced a wealth surge as of late; about 11 of the 13 newly initiated ultra-wealthy became billionaires within the last three months, including the likes of Polymarket CEO Shayne Coplan, the cofounder of vibe coding startup Loveable, Fabian Hedin, and AI entrepreneur Arvid Lunnemark. 

The majority of these young and ultra-wealthy founders made their wealth by jumping on the AI industry while it’s hot. For example, 25-year-old Sualeh Asif found success as the cofounder of company Anysphere—the team behind popular $29.3 billion AI editing tool Cursor.

Adarsh Hiremath and Surya Midha, both just 22, cofounded Mercor: an AI-powered recruiting startup helping connect talent with Silicon Valley’s biggest AI labs. 

Of the 11 young entrepreneurs who became billionaires within the last few months, eight saw their fortunes boom through their AI innovations. 

How the youngest female self-made billionaire under 30 earned her wealth

One of the 11 entrepreneurs under 30 who stepped into newfound wealth late this year was Luana Lopes Lara: the world’s youngest female self-made billionaire ever. 

Earlier this month, Lopes Lara saw her fortune skyrocket to $1.3 billion after her prediction market startup, Kalshi, hit an eye-watering $11 billion valuation. But before making her Wall Street debut, the young entrepreneur was on a different life path. 

The Brazilian-born entrepreneur was once training to be a professional ballerina in Rio. After working for nine months as a professional dancer in Austria, she gave up the grueling career, and pivoted to a different dream: becoming the next Steve Jobs. 

While studying engineering at MIT, Lopes Lara spent her summers working as an intern at Ray Dalio’s Bridgewater Associates and Ken Griffin’s Citadel Securities. But something clicked when the founder took up a gig at Five Rings Capital, alongside fellow MIT student Tarek Mansour. During this internship, the duo bonded over a shared vision for a prediction market company that would allow users to bet on the outcomes of popular sporting events, elections, and current events. 

The entrepreneurs went into business together, and after a successful Y Combinator pitch just a year later, their platform Kalshi was born. In 2020, after receiving Commodity Futures Trading Commission (CFTC) approval, it became the first federally regulated prediction market platform in business. Earlier this month, Kalshi raised $1 billion, achieving a $11 billion valuation and propelling Lopes Lara and Mansour—who each own around 12% of the company—into the exclusive billionaire club.

This story was originally featured on Fortune.com



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Nvidia CEO Jensen Huang says humility is underrated: ‘You cannot show me a task that is beneath me’

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Nvidia’s CEO Jensen Huang has gone from the bottom to becoming a multi-billionaire, but that doesn’t mean he’s above doing the little tasks. 

The 62-year-old CEO of the world’s most valuable company said his humble roots as a dishwasher have, in fact, helped him learn to spurn no task. 

“You can’t show me a task that is beneath me,” he said in an interview with Stanford’s graduate school of business, which recently resurfaced on X.

Even in his most humble of jobs, the world’s ninth-richest man never shied away from the dirty work.

“I cleaned a lot of toilets. I’ve cleaned more toilets than all of you combined, and some of them you just can’t unsee,” he said.

If someone approaches Huang with a call for help, he said he tries to at least contribute. That way, at least, the person with the problem can see a new way of thinking about the problem, he added. 

“If you send me something and you want my input on it, and I can be of service to you, and in my review of it, share with you how I reason through it, I’ve made a contribution to you,” Huang said. “I’ve made it possible for you to see how I reason through something, and by reasoning, as you know, how someone reasons through something empowers you.”

These values have been fundamental to Huang’s leadership style and are partly why he is worth $161.8 billion, according to Forbes. Born in Taiwan, Huang moved to the U.S. at age 9 without his parents. As a teenager, he took a job as a dishwasher at Denny’s

It was actually at Denny’s where Nvidia, Huang’s future company, got its start, according to the Nvidia website

Years after he worked at the chain as a dishwasher, the Stanford graduate met with his future cofounders, Chris Malachowsky and Curtis Priem, to discuss the idea of a chip that would make 3D graphics possible on a PC. This idea sparked what would later become Nvidia, a chip empire that is now worth $4.5 trillion.

It wasn’t easy at first, according to Huang. When he presented the idea to his boss at LSI Logic, Wilfred Corrigan, he called it “one of the worst elevator pitches he’s ever heard.”

Still, Corrigan convinced Don Valentine, the founder of Sequoia Capital, to hear the pitch because of Huang’s strong work ethic.

Elon Musk, who actually played a role in Nvidia’s origin story, commented on the resurfaced Huang interview this week. 

“This is the way,” Musk wrote on X. When Nvidia introduced its first AI supercomputer, Musk was apparently the only one who reached out, saying he had a “a nonprofit AI lab” in need of such a product. Despite Huang’s skepticism that a nonprofit would buy a $300,000 computer, he personally delivered it to San Francisco to what he later realized was the OpenAI team behind ChatGPT. Musk left OpenAI in 2018.



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The average worker would need to save for 52 years to claw their way of of the middle class

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The exact number of years of saving it’d take for the average worker to claw out of the middle class bracket has been revealed—and it’s nearly half a century.

Sobering new research from the think tank Resolution Foundation shows that for aspirational Brits looking to move up the wealth ladder, not even a lifetime of savings would be enough. 

In fact, the average worker would need to save their earnings for 52 years, to raise £1.3 million ($1.7 million), the amount needed to move from the middle and become as wealthy as the richest 10%.

And it gets worse: That’s with zero outgoings.

“Wealth gaps in Britain are now so large that a typical full-time employee saving all their earnings across their entire working life would still not be able to reach the top of the wealth ladder,” Molly Broome, senior economist at the Resolution Foundation and the lead author of the report, wrote.

And for those who happen to be born in the working class, the odds are increasingly stacked against them. 

“Wealth mobility in Britain is low—people that start life wealthy tend to stay wealthy, and vice versa,” Broome added.

As the saying goes, money makes money. The report revealed that the key driver of widening inequality is the so-called “passive” gains. Essentially, those who bought property and invested their money in pensions have seen their wealth balloon since 2010.

Workers in the U.S. would need to save for 70 years to unlock the American dream 

As inflation squeezes workers in a cost-of-living vise, paired with a job crisis that’s not been this bad since the financial crisis, and AI threatening to make it even worse, the salary it takes to be considered rich keeps climbing further out of reach. And the issue is transatlantic.

Even in the U.S., workers say they’d need at least $2.3 million to feel rich (up $100k from two years ago). Meanwhile, separate research highlights they’d need a staggering $4.4 million to achieve the American Dream—the house in the suburbs, two children, an annual vacation, and a new car in the drive.

In fact, Investopedia did the math and calculated that achieving those milestones would cost over $1 million more than most Americans will make in their lifetime.

With median weekly earnings of full-time workers averaging at $1,214, according to the Bureau of Labor Statistics, it would take 36 years of full-time work to feel rich with $2.3 million in the bank. That’s before a single bill is paid, and still $2.1 million short of affording the American Dream.

It would take the average American worker nearly 70 years without a single outgoing to reach that $4.4 million benchmark—far longer than most people will work in a lifetime, and that’s without even considering automation’s impact on the future of work, inflation, or any unexpected financial shocks.



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