Credit Card Delinquencies are Rising. Here's What to Do if You're at Risk

FILE - A variety of credit cards are shown on Jan. 18, 2024, in Atlanta. Seriously overdue credit card debt is at the highest level in 14 years, and people 35 and under are struggling more than other age groups to pay their bills. (AP Photo/Mike Stewart, File)
FILE - A variety of credit cards are shown on Jan. 18, 2024, in Atlanta. Seriously overdue credit card debt is at the highest level in 14 years, and people 35 and under are struggling more than other age groups to pay their bills. (AP Photo/Mike Stewart, File)
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Credit Card Delinquencies are Rising. Here's What to Do if You're at Risk

FILE - A variety of credit cards are shown on Jan. 18, 2024, in Atlanta. Seriously overdue credit card debt is at the highest level in 14 years, and people 35 and under are struggling more than other age groups to pay their bills. (AP Photo/Mike Stewart, File)
FILE - A variety of credit cards are shown on Jan. 18, 2024, in Atlanta. Seriously overdue credit card debt is at the highest level in 14 years, and people 35 and under are struggling more than other age groups to pay their bills. (AP Photo/Mike Stewart, File)

Seriously overdue credit card debt is at the highest level in more than a decade, and people 35 and under are struggling more than other age groups to pay their bills.

The share of credit card debt that’s severely delinquent, defined as being more than 90 days overdue, rose to 10.7% during the first quarter of 2024, according to the Federal Reserve Bank of New York. A year ago, just 8.2% of credit card debt was severely delinquent.

If you’re experiencing delinquency, or at risk of it, experts advise speaking with a nonprofit credit counselor and negotiating with your creditors directly. Here’s what you should know:

WHAT SHOULD I DO IF I’M AT RISK OF DELINQUENCY? Bruce McClary, senior vice president at the National Foundation for Credit Counseling, says that anyone at risk of delinquency should reach out as soon as possible for help from a nonprofit credit counselor, some of whom can be found through his organization. The consultation is free, and a non-judgmental counselor can give guidance towards a long-term solution.

Nonprofits can also help create debt management plans that have lower interest rates, no late fees, and a single payment each month, McClary said. These plans may come with maintenance fees, which vary, but the fees are offset by the overall savings on the debt. McClary urged borrowers to be careful of scammers and for-profit debt consolidation companies, which often charge much higher fees than nonprofit organizations. The Consumer Financial Protection Bureau has a helpful breakdown comparing the two.

Martin Lynch, president of the Financial Counseling Association of America, echoed this advice.

“Taking that first step and contacting a counselor is difficult for many people," Lynch said. He emphasized that consumers in debt should do their best to “first, relax,” and then to be as forthcoming as possible about their circumstances with the counselor.

“You’ll be talking to someone for free, who will listen to you describe your situation,” he said. “You can share your concerns without being judged for falling into difficulty.”

WHAT ABOUT NEGOTIATING WITH CREDITORS? Both Lynch and McClary urge borrowers to reach out directly to credit card companies to negotiate interest rates, fees, and long-term payment plans, noting that it's in the companies' best interests if you pay before the debt goes into collections.

“The best thing to do is to reach out, give an honest assessment of your ability to pay over time, and ask what options are available to you both ‘on and off-the-menu,’” McClary said. This kind of phrasing can give creditors an opening to offer more flexibility, he said.

McClary and other experts stress that most credit card companies and other lenders have hardship programs available for cases like these. Such options gained visibility during the COVID-19 pandemic, when more companies publicly advertised that consumers facing difficulty may skip or defer payments without penalties.

WHY ARE DELINQUENCIES INCREASING? The average annual interest rate on a new credit card is 24.71%, according to LendingTree, the highest since the company began tracking in 2019. That’s in part because the Federal Reserve has raised its key interest rate rate to a 23-year high to combat the highest inflation in four decades, which peaked at 9.1% in June 2022.

Simultaneously, pandemic-era aid such as stimulus payments, the child tax credit, increased unemployment benefits, and a moratorium on student loan payments has ended. Wage gains haven’t all kept up with inflation, which hits lower-income consumers harder, and rent increases have eaten into savings some consumers may have built up during the early years of the pandemic.

Silvio Tavares, CEO of VantageScore, a credit score modeling and analytics company, said that delinquencies have now exceeded their pre-pandemic levels, and that renters are especially vulnerable to falling behind.

“Younger and less affluent people are experiencing challenges,” he said. “And high interest rates are having an effect.”

Tavares said the most important thing a borrower can do is to know their credit score and keep up with payments to avoid paying additional interest on revolving balances and debt. He cautioned consumers not to over-extend themselves with “buy now, pay later” loans, which are increasingly available “at every checkout.”

HOW WORRISOME IS THE INCREASE IN DELINQUENCIES? Credit cards only make up about 6.5% of consumer debt, according to a Bank of America Global Research report, but the increase in delinquencies appears to be outpacing income growth.

According to McClary, there’s also likely a large group of consumers paying minimum balances and staying out of delinquency for now but who are too financially stressed to pay their balances in full. A worsening of the economy could push those consumers into severe delinquency, he said.

On top of increasing credit card delinquencies, retail spending stalled in April. Walmart has said its customers are spending more on necessities and less on discretionary goods. Starbucks lowered its sales expectations, and McDonald’s is offering more deals as people cut back.



Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
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Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)

Italy's antitrust authority (AGCM) on Wednesday ordered Meta Platforms to suspend contractual terms ​that could shut rival AI chatbots out of WhatsApp, as it investigates the US tech group for suspected abuse of a dominant position.

A spokesperson for Meta called the decision "fundamentally flawed," and said the emergence of AI chatbots "put a strain on our systems that ‌they were ‌not designed to support".

"We ‌will ⁠appeal," ​the ‌spokesperson added.

The move is the latest in a string by European regulators against Big Tech firms, as the EU seeks to balance support for the sector with efforts to curb its expanding influence.

Meta's conduct appeared capable of restricting "output, market ⁠access or technical development in the AI chatbot services market", ‌potentially harming consumers, AGCM ‍said.

In July, the ‍Italian regulator opened the investigation into Meta over ‍the suspected abuse of a dominant position related to WhatsApp. It widened the probe in November to cover updated terms for the messaging app's business ​platform.

"These contractual conditions completely exclude Meta AI's competitors in the AI chatbot services ⁠market from the WhatsApp platform," the watchdog said.

EU antitrust regulators launched a parallel investigation into Meta last month over the same allegations.

Europe's tough stance - a marked contrast to more lenient US regulation - has sparked industry pushback, particularly by US tech titans, and led to criticism from the administration of US President Donald Trump.

The Italian watchdog said it was coordinating with the European ‌Commission to ensure Meta's conduct was addressed "in the most effective manner".


Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.