Skip to content
Search

Latest Stories

Follow Us:
Top Stories

Is AI too big to fail?

Nvidia building and logo

The world came to a near standstill last month as everyone awaited Nvidia’s financial outlook.

Cheng Xin/Getty Images

This is the first entry in “ Big Tech and Democracy,” a series designed to assist American citizens in understanding the impact technology is having — and will have — on our democracy. The series will explore the benefits and risks that lie ahead and offer possible solutions.

In the span of two or so years, OpenAI, Nvidia and a handful of other companies essential to the development of artificial intelligence have become economic behemoths. Their valuations and stock prices have soared. Their products have become essential to Fortune 500 companies. Their business plans are the focus of the national security industry. Their collapse would be, well, unacceptable. They are too big to fail.

The good news is we’ve been in similar situations before. The bad news is we’ve yet to really learn our lesson.


In the mid-1970s, a bank known for its conservative growth strategy decided to more aggressively pursue profits. The strategy worked. In just a few years the bank became the largest commercial and industrial lender in the nation. The impressive growth caught the attention of others — competitors looked on with envy, shareholders with appreciation and analysts with bullish optimism. As the balance sheet grew, however, so did the broader economic importance of the bank. It became too big to fail.

Regulators missed the signs of systemic risk. A kick of the bank’s tires gave no reason to panic. But a look under the hood — specifically, at the bank’s loan-to-assets ratio and average return on loans — would have revealed a simple truth: The bank had been far too risky. The tactics that fueled its “go-go” years rendered the bank over exposed to sectors suffering tough economic times. Rumors soon spread that the bank was in a financially sketchy spot. It was the Titanic, without the band, to paraphrase an employee.

When the inevitable run on the bank started, regulators had no choice but to spend billions on keeping the bank afloat — saving it from sinking and bringing the rest of the economy with it. Of course, a similar situation played out during the Great Recession — risky behavior by a few bad companies imposed bailout payments on the rest of us.

AI labs are similarly taking gambles that have good odds of making many of us losers. As major labs rush to release their latest models, they are not stopping to ask if we have the social safety nets ready if things backfire. Nor are they meaningfully contributing to building those necessary safeguards. Instead, we find ourselves in a highly volatile situation. Our stock market seemingly pivots on earnings of just a few companies — the world came to a near standstill last month as everyone awaited Nvidia’s financial outlook. Our leading businesses and essential government services are quick to adopt the latest AI models despite real uncertainty as to whether they will operate as intended. If any of these labs took a financial tumble or any of the models were significantly flawed, the public would likely again be asked to find a way to save the risk takers.

This outcome may be likely but it’s not inevitable. The Dodd Frank Act passed in response to the Great Recession and intended to prevent another Too Big to Fail situation in the financial sector has been roundly criticized for its inadequacy. We should learn from its faults in thinking through how to make sure AI goliaths don’t crush all of us Davids. Some sample steps include mandating and enforcing more rigorous testing of AI models before deployment. It would also behoove us to prevent excessive reliance on any one model by the government — this could be accomplished by requiring public service providers to maintain analog processes in the event of emergencies. Finally, we can reduce the economic sway of a few labs by fostering more competition in the space.

Too Big to Fail scenarios have happened on too many occasions. There’s no excuse for allowing AI labs to become so large and so essential that we collectively end up paying for their mistakes.

Frazier is an assistant professor at the Crump College of Law at St. Thomas University and a Tarbell fellow.

Read More

An illustration of an AI chatbot and an iphone.

AI is transforming how people seek help, share stories, and connect online. This article examines what’s at stake for social media and the future of human connection.

Getty Images, Malorny

What Happens to Online Discussion Forums When AI Is First Place People Turn?

No doubt social media and online discussion forums have played an integral role in most everyone’s daily digital lives. Today, more than 70% of the U.S. adults use social media, and over 5 billion people worldwide participate in online social platforms.

Discussion forums alone attract enormous engagement. Reddit has over 110 million daily active users, and an estimated 300 million use Q&A forums like Quora per month, and 100 million per month use StackExchange. People seek advice, learn from others’ experiences, share questions, or connect around interests and identities.

Keep ReadingShow less
A Bend But Don’t Break Economy

AI may disrupt the workplace, but with smart investment in workforce transitions and innovation, the economy can bend without breaking—unlocking growth and new opportunities.

Getty Images, J Studios

A Bend But Don’t Break Economy

Everyone has a stake in keeping the unemployment rate low. A single percentage point increase in unemployment is tied to a jump in the poverty rate of about 0.4 to 0.7 percentage points. Higher rates of unemployment are likewise associated with an increase in rates of depression among the unemployed and, in some cases, reduced mental health among their family members. Based on that finding, it's unsurprising that higher rates of unemployment are also correlated with higher rates of divorce. Finally, and somewhat obviously, unemployment leads to a surge in social safety spending. Everyone benefits when more folks have meaningful, high-paying work.

That’s why everyone needs to pay attention to the very real possibility that AI will lead to at least a temporary surge in unemployment. Economists vary in their estimates of how AI will lead to displacement. Gather three economists together, and they’ll probably offer nine different predictionsthey’ll tell you that AI is advancing at different rates in different fields, that professions vary in their willingness to adopt AI, and that a shifting regulatory framework is likely to diminish AI use in some sectors. And, of course, they’re right!

Keep ReadingShow less
People holding microphones and recorders to someone who is speaking.

As the U.S. retires the penny, this essay reflects on lost value—in currency, communication, and truth—highlighting the rising threat of misinformation and the need for real journalism.

Getty Images, Mihajlo Maricic

The End of the Penny — and the Price of Truth in Journalism

232 years ago, the first penny was minted in the United States. And this November, the last pennies rolled off the line, the coin now out of production.

“A penny for your thoughts.” This common idiom, an invitation for another to share what’s on their mind, may go the way of the penny itself, into eventual obsolescence. There are increasingly few who really want to know what’s on anyone else’s mind, unless that mind is in sync with their own.

Keep ReadingShow less
Someone holding a remote, pointing it to a TV.

A deep look at how "All in the Family" remains a striking mirror of American politics, class tensions, and cultural manipulation—proving its relevance decades later.

Getty Images, SimpleImages

All in This American Family

There are a few shows that have aged as eerily well as All in the Family.

It’s not just that it’s still funny and has the feel not of a sit-com, but of unpretentious, working-class theatre. It’s that, decades later, it remains one of the clearest windows into the American psyche. Archie Bunker’s living room has been, as it were, a small stage on which the country has been working through the same contradictions, anxieties, and unresolved traumas that still shape our politics today. The manipulation of the working class, the pitting of neighbor against neighbor, the scapegoating of the vulnerable, the quiet cruelties baked into everyday life—all of it is still here with us. We like to reassure ourselves that we’ve progressed since the early 1970s, but watching the show now forces an unsettling recognition: The structural forces that shaped Archie’s world have barely budged. The same tactics of distraction and division deployed by elites back then are still deployed now, except more efficiently, more sleekly.

Keep ReadingShow less