Fortune: 40 trillion National Debt is Rising while social seccurity goes broke. Quote: “Baby boomers collectively hold roughly $93 trillion in wealth, according to Visa Business and Economic Insights, but only about $36 trillion is expected to pass to millennials and Gen X over the next two decades.”

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Personal Financebaby boomers

The $40 trillion national debt is growing while Social Security goes broke—because wealthy Boomers are collecting over $100k in benefits per year

By 

Joshua Hong

News Fellow

August 27, 2026, 3:58 PM ET

boom

How about those benefits we don’t really need?Getty Images

The United States is entering the most expensive phase of retirement. Some of America’s oldest are eligible for more than $100,000 a year in combined Social Security benefits, while remaining as one of the wealthiest generations in the country. The national debt is rising—just passing $40 trillion this month—and Social Security is set to enter insolvency by 2032, meaning it may already be too late for the generations left behind.

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The Congressional Budget Office projected in 2023 federal spending on Social Security and medicare will account for 81% of the increase in mandatory spending between 2023 and 2033. In 2026 alone, increases in Social Security and Medicare spending account for nearly half the projected $362 billion increase in mandatory outlays. Interest on the debt is adding even another layer on the stack of debt pancakes. CBO projects net federal interest costs will exceed $1 trillion in 2026 and rise to $2.1 trillion by 2036. That means the government is spending money to simply service the debt accumulated from previous deficits, even as entitlement programs continue growing.

The state of Social Security appears to have contributed to drastically different generational outlooks on the benefit. A December 2025 survey by the Cato Institute found that only 34% of Gen Z respondents expected Social Security to exist when they reached retirement. Cato’s June 2026 analysis also found that 79% of younger respondents expected some type of cut to their own future benefits.

“The survey revealed that young Americans are the least likely to expect Social Security will exist for them,” the study noted, “the most open to reforms, and the least likely to understand how the program works.”

Social Security is a pay-as-you-go program, meaning most payroll taxes collected from today’s workers are used to pay benefits to today’s beneficiaries. In simpler terms, a part of your paycheck subsidizes a boomer’s benefits—and according to the Cato Institute’s 2025 polling, only 45% of Americans correctly understand how the program works. Under current law, employees and employers each pay 6.2% of wages into Social Security up to an annual taxable maximum, which is $184,500 in 2026. Self-employed workers pay the combined 12.4% rate.

That structure worked far smoother when there were many workers for every retiree. But the demographic math changed—baby boomers are now moving through retirement while younger generations deal with record job market difficulty.

And it doesn’t help that Social Security beneficiaries are getting over double their investment into the program back. A median-wage worker retiring in 2027 is expected to receive roughly $730,000 in lifetime Social Security benefits compared with less than $200,000 in combined contributions from the worker and employer. When the employer contribution is excluded, the lifetime benefits amount to roughly 265% of what the worker personally paid into Social Security. The current system is effectively relying on the workers of today—which include millennials and the younger end of Gen X—to finance retirees.

https://datawrapper.dwcdn.net/CRgC9/1

What the government is going to do about it

The federal government has reached a point where arithmetic becomes unavoidable. The 2026 Social Security trustees report projects that the Old-Age and Survivors Insurance trust fund will be depleted in the fourth quarter of 2032. At that point, continuing program income would cover only 78% of scheduled retirement benefits. The theoretically combined Social Security trust funds are projected to be depleted in 2034, when incoming revenue would cover 83% of scheduled benefits. Without congressional action, that would mean an automatic reduction in benefits.

The Committee for a Responsible Federal Budget estimates the retirement program would face an approximately 22% across-the-board reduction when the retirement trust fund is exhausted. The committee has proposed one way to address the issue—putting a ceiling on the benefits paid to its wealthiest retirees. Dubbed the “Six Figure Limit,” the proposal would cap Social Security benefits at $100,000 annually for a married couple retiring at the normal retirement age, with the limit adjusted for marital status and claiming age. A single retiree’s comparable limit would be $50,000. 

The proposal is aimed at an extremely small group. CRFB estimates the cap would only really affect the top 0.05% of couples in its early years, households with average annual retirement income above $2.5 million and average net worth above $65 million. The organization says the cap would become more consequential over time as Social Security’s maximum benefits continue to rise.

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CBS News reported in March that roughly one million individual Social Security beneficiaries receive at least $50,000 a year, meaning a married couple with two such beneficiaries could receive more than six-figures.

The Social Security Administration did not immediately respond to a request for comment from Fortune.

Boomers are rich—but no one else will get their wealth

Baby boomers collectively hold roughly $93 trillion in wealth, according to Visa Business and Economic Insights, but only about $36 trillion is expected to pass to millennials and Gen X over the next two decades. The difference is reflected in taxes, debt, spending during retirement and the concentration of wealth among the richest boomers. After the dedication in liabilities, about $88 trillion remain—and the top 1% holds about one-third of that wealth. Boomers are also expected to spend approximately $16 trillion during retirement on housing, food, healthcare, prescriptions and other expenses.

That means the “Great Wealth Transfer” will not move a $93 trillion pile of assets from retirees to younger Americans. A substantial portion of it will never be inherited, and much of what is transferred will be concentrated among the affluent households. But the Social Security program was created as social insurance, not as a means-tested welfare program. So someone who earned more during their career generally receives a larger benefit, subject to the program’s formula and taxable maximum. An affluent retiree can qualify for a fat Social Security check even when that benefit represents only a small portion of their overall income.

According to the Cato Institute, Social Security should focus more heavily on protecting seniors from poverty while giving younger workers greater opportunity to build private retirement savings. Their analysis points to systems in other developed countries across the world that use combinations of basic pensions, targeted benefits, automatic adjustments and private savings mechanisms.

The United States’ earnings-related benefit structure can produce increasingly generous payments for higher earners, based on the Cato Institute’s report. The organization notes that a maximum-earning worker claiming Social Security at age 70 can receive more than $61,000 a year, while arguing policymakers could reduce benefits for higher-income retirees in a restructuring.

“Policymakers should consider fundamentally rethinking the program’s structure and transform it into a system that ensures seniors are protected from poverty when they can no longer work,” the institute wrote, “while also freeing up resources for younger workers to save more on their own.”

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About the Author

By Joshua HongNews Fellow

Joshua Hong is a News Fellow at Fortune covering data, AI, cybersecurity, energy, and retail.

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Axios: U.S. strengthens Hormuz hand:

🇮🇷 U.S. strengthens Hormuz hand
 
Photo illustration: Sarah Grillo/Axios. Photo: Samuel Corum/Getty ImagesToday marks six months of the Iran War, which began Feb. 28. Axios’ Barak Ravid reports the U.S. is improving its position in the waterway at the center of the quagmire:

The Strait of Hormuz has been Iran’s most powerful card since the start of the war in late February. U.S. officials say that over the past six months, the American military has steadily eroded Iran’s leverage over the crucial waterway.

Why it matters: What began six months ago with the goal of degrading Iran’s missile capabilities and destroying what remained of its nuclear program has evolved into an open-ended fight over the world’s most important energy chokepoint.

U.S. officials say they’ve turned the tide in the strait and believe it could be a watershed moment in the war, bringing gradual relief to the world economy and a better deal with Iran.

“The Iranian response is very mild,” President Trump told Axios in a phone interview yesterday. “They don’t want us to go back at them. That’s the whole ball game. The rest doesn’t matter.”

🚢 Zoom out: The number of ships crossing the strait — and the amount of oil exported through it — remain far below prewar levels. But Iran has lost much of its control over the strait, U.S. officials said.

Iran is still firing at ships. But its ability to target them accurately is limited.

More than 200 mine-like objects have been swept from the main lane of the strait. U.S. officials say only 11 of them were actual mines and just a fewwere properly deployed.

In recent weeks, traffic through the southern channel has grown to 20 to 30 tankers every night, carrying an average of 9 million to 10 million barrels, per U.S. officials. That’s roughly half the prewar volume.

🛢️ Yes, but: Oil experts and tanker trackers are skeptical that the actual figures are that high. U.S. officials say they’re undercounting.

Periodic reports of oil tankers being struck by projectiles also raise questions about the safety of commercial shipping through the strait, despite U.S. assurances.T

rump told Axios: “That sucker is open.”Share this story.
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Axios: Nvidia almighty

Nvidia almighty
 
A bar chart showing publicly-traded U.S.-based companies by sector and market cap as of August 26, 2026. Information technology is the largest sector shown, at $26.3 trillion, followed by financials (10.3 trillion) and communications services (9.5 trillion). Nvidia has a market cap of over 5 trillion, making it larger than the bottom five sectors.Data: S&P Capital IQ Pro. Chart: Erin Davis/Axios Visuals

Nvidia made billions selling AI’s essential ingredient: chips.

Now the company is plowing those riches straight back into the AI ecosystem, betting on a buildout that craves ever more compute, Axios’ Madison Mills writes.

Why it matters: Nvidia has become the AI industry’s supplier, banker and kingmaker, feeding a self-reinforcing cycle in which chip profits finance the next wave of chip demand.

State of play: Already the world’s most valuable company, Nvidia is now worth more than five of the 11 sectors that make up the S&P 500.

The chipmaker reported nearly $60 billion in quarterly profit Wednesday, prompting The Kobeissi Letter to call the results “the most impressive earnings in history.”

Nvidia believes its reign is far from over, telling investors to expect roughly 70% revenue growth even from today’s extraordinary heights.

🔭 Zoom out: Nvidia’s vast chip windfall has enabled the company to take on a new role as financial patron of the entire AI industry.

Nvidia is involved in more than $750 billion worth of AI investments, financing deals and partnerships, according to PitchBook — a staggering footprint for a company whose core business is still selling chips.

That figure does not include this week’s reported $13 billion acquisition of Hugging Face, which would give Nvidia control over one of the industry’s most important model-distribution hubs.

CEO Jensen Huang has enlisted Wall Street to mobilize more than $500 billion for AI infrastructure, channeling outside capital toward the data-center buildout that drives more than 90% of Nvidia’s quarterly revenue.

🎡 Between the lines: The strategy creates a powerful flywheel: The more money Nvidia helps pour into AI, the more compute the industry builds — and the more chips it needs.

Reality check: Critics say Nvidia’s flywheel looks uncomfortably circular.

The company is helping finance customers and infrastructure projects that then spend heavily on its own hardware, raising questions about how much demand is being supported by Nvidia’s own balance sheet.

Huang has dismissed those concerns, telling CNBC Wednesday that Nvidia’s investments will generate “tremendous returns” and that “the risk is low.”

Threat level: The cozy relationship between Nvidia and its biggest customers is becoming increasingly competitive.

OpenAI, Google, Amazon, Microsoft and others are pouring billions into custom chips designed to reduce their dependence on Nvidia. OpenAI claims its new Jalapeño chip outperforms Nvidia hardware on some workloads.

Nvidia, meanwhile, is spending billions developing its own open-source AI models, aiming to become the American champion in a field increasingly dominated by Chinese models.

The bottom line: The result is an unusually tangled ecosystem in which Nvidia is simultaneously supplier, investor, partner — and increasingly competitor — to AI’s biggest players.Share this story.
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The Rundown: UK surgeons just announced the first brain surgery ever performed with a live AI assistant, with a University College of London system watching in real-time through a surgical camera and flagging hidden arteries and optic nerves to avoid during the removal of a tumor.

🧠 UK trials live-video AI in brain surgeryImage source: UCLH / BBC

The Rundown: UK surgeons just announced the first brain surgery ever performed with a live AI assistant, with a University College of London system watching in real-time through a surgical camera and flagging hidden arteries and optic nerves to avoid during the removal of a tumor.

The details: Patient Rhys Hibbert had no symptoms until a seizure in late 2024 revealed an 11mm pituitary growth that slowly narrowed his field of vision. Surgeons reached the tumor through Hibbert’s nose, while AI watched the camera feed on its own monitor and marked the safest spots to cut and areas to avoid. The AI trained on hundreds of labeled videos of past removals, with surgeon Hani Marcus saying it saw “more operations than most surgeons see or do in a lifetime.” The patient’s vision was restored within days following the successful removal, with the team now moving toward larger trials of the AI system.

Why it matters: Robots may eventually be capable of the precise movements needed for most surgeries, but for now this is a powerful example of the near-term advances AI can bring to the operating table: an expert second set of eyes to monitor and flag while the human surgeon remains completely in control.
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The process turned an overwhelming chore into something manageable.”See Karen’s full workflow here. How do you use AI? Tell us for a chance to be featured.
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OpenAI published an open letter signed by 116 companies (including Anthropic) warning that AI-enabled cyberattacks will become “far more widespread and sophisticated” in the coming months, calling for a coordinated cyber defense push.

Nvidia is reportedly acquiring open model hub Hugging Face for $12.9B, with open-source interest continuing to surge on Chinese model gains.

Google released Gemini Omni 1.1 Flash, an upgraded video model that adds 40-sec scene extensions and 4K upscaling, moving to the top spot on Arena’s text-to-image leaderboard.

Thinking Machines co-founder Barret Zoph is rejoining Google as a research VP to work on reinforcement learning for Gemini, coming after a brief second stint at OpenAI.

Salesforce partnered with Anthropic to introduce Claudeforce, which puts a 37-skill sales plugin into Claude, while also making Claude the default model in Slack.
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Clash Report on X: Bill Gates AI a thousand times more than nuclear

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NEWS: X says it caught a Chinese bot farm of about 200,000 accounts. X’s Safety team said the network was tied to suspected Chinese influence operations.

@muskonomy

NEWS: X says it caught a Chinese bot farm of about 200,000 accounts. X’s Safety team said the network was tied to suspected Chinese influence operations. Inside it, 200 accounts were posting to sway the US debate over AI and energy policy. Those posts claimed AI data centers are driving up household electricity bills and straining the grid. Some used AI-generated cartoons showing data-center operators getting rich at the public’s expense. This lines up with OpenAI, which recently banned China-linked accounts running the same playbook, cartoons and all, to stoke fear over US data center energy costs. Source: X Global Government Affairs, OpenAI

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The Educational Artifact Is No Longer Enough by John Nosta. Quote: “So, maybe the uncomfortable (and necessary) question for education is what happens when the work keeps getting better, while our ability to know whether the student is becoming a better thinker keeps getting worse.”

The Educational Artifact Is No Longer Enough
AI is changing education, separating what students produce from how they think.John NostaBy John Nosta
KEY POINTS:AI is breaking the old link between the quality of student work and the thinking behind it. Education must now consider how much students actually participate in the cognition that produces their work. As AI makes the artifact better, it’s harder to know whether the student is becoming a better thinker.
Image by F1 Digitals from Pixabay.Source: Image by F1 Digitals from Pixabay.

MIT has released an interesting new report on AI and education—what they call a “roadmap to the future.” At times, the language and perspective may feel a bit lofty and even aspirational (be humble, put humanity front and center, and teach with intentionality). Nevertheless, I think it arrives at exactly the right moment.

The academic cauldron of controversy is bubbling away and the questions are familiar. What should students learn when AI can write essays and explain difficult ideas almost instantly? How should we assess learning? When should students use AI, and when should they work without it? Yes, these are practical questions, but there is something more fundamental underneath them. If education has always been partly about developing the person who thinks, what happens when some of that thinking is now being done somewhere else?

The Intellectual Artifact is Changing

The school has traditionally been a springboard for intellectual work. A sophisticated essay suggested that considerable thinking had occurred. A clever solution suggested understanding. A compelling argument suggested that someone had spent some time working with the ideas behind it. It was never a perfect relationship, but generally the intellectual artifact told us something about the intellectual work required to produce it. AI changes that assumption. Today, a student can produce an extraordinary intellectual artifact while contributing surprisingly little of the cognition behind it.

The essay may be excellent and the argument may even contain genuinely interesting insights. Yet none of that necessarily tells us what happened inside the student. The artifact is still there and may actually be better than ever. What has changed is our ability to infer the thinking behind it. I’ve been focusing on this issue in my own writing for some time. I’ve called parts of it cognitive surrender, the curious idea of ghost thought, and more recently cognitive selfhood. They approach the problem from different directions, but they share a fundamental concern. As AI becomes increasingly capable of participating in our thinking, how do we make sure that we continue participating too?

From Surrender to Participation

First off, I don’t see AI as an intellectual adversary. I’ve also written about iterative intelligence, where human and machine cognition interact and the back-and-forth actually makes our thinking better. AI can challenge an assumption, expose something we’ve missed, push an idea in an unexpected direction, or make us reconsider what we thought we knew. I experience this myself, and I suspect many people who use large language models also do. But iteration can drift into surrender, sometimes without us noticing. We begin with a question and very quickly arrive at an answer, but how much of the intellectual territory between those two points did we actually travel ourselves? That seems particularly important in education because the journey has always been part of the point.

Struggling with the problem wasn’t simply an inconvenient way of getting to the answer. Something was happening to us along the way. MIT recognizes part of this problem directly, particularly around assessment. The report argues, from my read, that we need to reconsider how we determine what students have actually learned in an AI-rich environment. I think that gets to something important. If AI weakens the connection between the quality of the artifact and the cognition required to produce it, then assessment has lost one of its traditional and most important signals.

We may have to look beyond the work itself and ask how much the student actually participated in the thinking that produced it. In fact, they deliver an imperative.This is not an optional exercise. We must demonstrate how to integrate AI thoughtfully and deliberately into the classroom, the research enterprise, and the experience of residential education in ways that ensure learning, advance discovery, and prepare students for the future.

—MIT Ad Hoc Committee on AI Use

This makes cognitive participation increasingly important. We have spent considerable energy asking whether students are using AI, and understandably so. But perhaps the more interesting question is what the student is actually doing while using it. Did the student originate the idea? Challenge the response? Recognize an error? Change direction? Bring judgment to the process? Or did a prompt simply get us from the question to the solution without the friction of real learning?Those are very different cognitive experiences, even if the artifacts they produce look remarkably similar.

What Happens to the Thinker?

This touches something I’ve recently described as cognitive selfhood—the continued presence of the self in its own processes of thinking. Education has traditionally been one of the places where that presence develops. We struggle with a problem and sometimes discover what we think while trying to explain it. Much of that process is inefficient and occasionally frustrating. Yet I’ll suggest that some of that friction may be doing more educational work than we realized.

AI will become part of education, probably much faster and more completely than we imagine. And much of that will be enormously valuable. However, there will also be moments when doing the thinking yourself has value precisely because it is slower and harder. Maybe those moments will become increasingly important because they give the student something that cannot be measured simply by looking at the quality of the finished work. And this is where I think the MIT report opens a much larger conversation.

Education has traditionally been able to look at the artifact and make some reasonable assumptions about the cognition behind it. AI makes that increasingly difficult. The essay or equation can no longer serve as quite the same proxy for learning that it once did.A student may now hand us a polished artifact—a gem of intellectual brilliance. Yet we may know less than ever about what happened in the mind that produced it.

So, maybe the uncomfortable (and necessary) question for education is what happens when the work keeps getting better, while our ability to know whether the student is becoming a better thinker keeps getting worse.
John Nosta John NostaThe Digital SelfTechnology, Transformation and the Future You

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Myriam Francoise -The Tea: The hidden empire profiting from Poverty and Global Crisis. In Conversation with Kojo Koram

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New South Africa … you want a shop owned by immigrant from Ethiopia … yes EVICTION South African style

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