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FTX Founder Sam Bankman-Fried leaves Manhattan Federal Court after a court appearance on June 15, 2023 in New York City.

Michael M. Santiago | Getty Images

As lawyers in Sam Bankman-Fried’s criminal trial presented their closing arguments on Wednesday, prosecutors reminded jurors of the mountain of evidence provided by key witnesses, while defense counsel accused the government of portraying the FTX founder as a “monster.”

The prosecution kicked off the proceedings, trying to give the 12 jurors a clear sense of why they’ve spent the past four weeks sitting in a lower Manhattan courtroom.

“Almost a year ago, thousands of people from all over the world who deposited money with FTX started withdrawing funds,” Assistant U.S. Attorney Nicolas Roos told the court.

Roos said there’s “no serious dispute” that $10 billion in customer money that was sitting in FTX’s crypto exchange went missing, with some of it going to to pay for real estate, investments, loan repayments and political donations.

The main thing the jury has to decide, Roos said, is whether Bankman-Fried knew that taking the money was wrong.

“The defendant schemed and lied to get money, which he spent,” Roos said.

Bankman-Fried, the 31-year old son of two Stanford legal scholars and graduate of Massachusetts Institute of Technology, faces a potential life sentence if convicted on charges, which include wire fraud, securities fraud and money laundering, all tied to the collapse late last year of FTX and sister hedge fund Alameda Research. He pleaded not guilty.

The trial, which began in early October and is set to wrap up in the coming days, has largely pitted the testimony of Bankman-Fried’s former close friends and top lieutenants against the sworn statements of their former boss and, for many of them, former roommate.

The government’s key witnesses included Caroline Ellison, Bankman-Fried’s ex-girlfriend and the former head of Alameda, and FTX co-founder Gary Wang, who was Bankman-Fried’s childhood friend from math camp. Both pleaded guilty in December to multiple charges and cooperated as witnesses for the prosecution.

FTX founder Sam Bankman-Fried is questioned by prosecutor Danielle Sassoon (not seen) during his fraud trial over the collapse of the bankrupt cryptocurrency exchange at federal court in New York City, U.S., October 31, 2023 in this courtroom sketch. 

Jane Rosenberg | Reuters

When it was time for Bankman-Fried’s team to mount a defense, lead counsel Mark Cohen left the bulk of the case to his client, who spent three days on the stand telling the jury that he didn’t defraud anyone, didn’t take customer money and tried to work with his deputies to keep FTX from failing.

Roos spent Wednesday morning asking the jury to look at the evidence. At one point, he asked, “Who is responsible? He then stepped out from behind the podium and towards the defense table, pointed at the defendant and said, “This man, Samuel-Bankman-Fried.”

“A pyramid of deceit was built by the defendant,” Roos said. “That ultimately collapsed.”

The facts, as listed by Roos, were that customers believed their deposits were their own and not to be used by anyone else; that FTX ads continually said the exchange was the safest and easiest way to buy cryptocurrency; and that $10 billion was missing.

‘Uncomfortable to hear’

Roos told the jury that Bankman-Fried lied to them, reminding them how smooth the defendant was in answering questions from his own attorney but how “he was a different person” when it was the prosecutors’ turn. He had a perfect memory on Friday, Roos said, telling the jury that Bankman-Fried knew the details about the layout of his Airbnb office in California, the reason he went to Hong Kong and why he picked the Miami Heat arena as the one for FTX to sponsor.

That all changed when the government was asking the questions.

“It was uncomfortable to hear,” Roos said, adding that Bankman-Fried said “I can’t recall” over 140 times during questioning by the government.

“To believe his story, you’d have to ignore the evidence,” Roos said. “You’d have to believe the defendant, who graduated from MIT and built two multibillion-dollar companies, was actually clueless.”

Sam Bankman-Fried walks jury through final days of FTX: CNBC Crypto World

Critical to the failure of FTX was the use of customer funds to cover losses in Alameda’s books following the plunge in crypto prices last year. Roos said Bankman-Fried is the one who gave special privileges to Alameda, which he started before founding FTX, allowing it to siphon customer money. He knew it was wrong, Roos said, which is why he kept it secretive.

Roos said Bankman-Fried had been lying to the public about Alameda’s “secret advantages,” and was being untruthful when he told the public and the media that Alameda was just like everyone else.

“Those were lies,” Roos said. Had they known the truth, “investors would have run for the exits,” he said.

Bankman-Fried blamed “messy accounting,” Roos said, adding “give me a break.” He said those comments contradicted what he told Congress, that he’d reconciled the books.

Judge Lewis Kaplan, who presided over the trial, started court almost a half hour late on Wednesday because a juror was stuck in traffic. Then there were technical issues, as the second row of monitors in the jury box stopped working. That led to a 1- minute break.

Later in Roos’s closing, he brought up the infamous spreadsheet of the seven alternate versions of Alameda’s finances that Ellison had put together when third-party lenders were asking for an update. Bankman-Fried testified that he’d seen a spreadsheet but didn’t remember the details and didn’t ask Ellison questions about it. Roos called the explanation “implausible.”

FTX founder Sam Bankman-Fried is questioned by defense lawyer Mark Cohen as he testifies in his fraud trial over the collapse of the bankrupt cryptocurrency exchange, at federal court in New York City, U.S., October 30, 2023 in this courtroom sketch. 

Jane Rosenberg | Reuters

Roos referred to metadata showing that Bankman-Fried was part of a meeting for about 30 minutes where the hole in FTX’s balance sheet and repaying lenders were discussed. Metadata shows he was studying the Google Doc of the company’s finances, with numbers indicating the billions in borrowing from FTX.

Roos brought up testimony from three firsthand witnesses who said that they’d spoken with Bankman-Fried about the giant hole in the balance sheet. Ellison said there was no way to repay it, and Singh testified that Bankman-Fried admitted to him that “we are a little short on deliverables.”

Bankman-Fried “had the arrogance to think he could get away with it,” Roos said.

Spending freely

Another point speaking to the defendant’s intent, Roos said, was his tweeting.

Bankman-Fried’s plan last November, when he knew there was only enough money to process one-third of client assets, was to send a confident tweet thread. Singh testified that he wasn’t comfortable with the plan, yet Bankman-Fried went on to tweet that “assets are fine” as the bank run was underway, Roos said.

Bankman-Fried knew Alameda had a negative net asset value of $2.7 billion, Roos said, but wanted to make another $3 billion in venture investments. The only way to do that was with FTX customer funds, he said.

Additionally, Roos told the jury, client money went to $100 million in real estate expenses, including a $30 million penthouse in the Bahamas and $16 million for his parents’ home.

In referencing the Super Bowl picture with Katy Perry and others, Roos called Bankman-Fried a “celebrity chaser.”

Roos walked the jury through a timeline of key moments, as follows:

  • On Sept. 1, Bankman-Fried saw that FTX had a $13.7 billion hole.
  • On Sept. 7, Bankman-Fried wrote a long memo proposing the shutdown of Alameda. Still, he spent $45 million for a stake in Skybridge Capital.
  • Then, on Sept. 22, he paid $4 million to himself.
  • Four days later, he sent $250 million to Modulo Capital, a hedge fund in the Bahamas.
  • And on Oct. 3, he funneled $6 million for political donations.

“That’s all you need to know to find him guilty,” Roos said.

In closing the prosecution’s case, Roos referenced the seven charges facing Bankman-Fried and why he can be convicted of each.

In highlighting counts three and four, which charge the defendant with wire fraud against Alameda’s lenders, Roos emphasized the importance of Bankman-Fried’s knowledge of the alternative balance sheet. For count five, conspiracy to commit securities fraud on FTX investors, the primary evidence came from investors who expressed concern about a conflict of interest between Alameda and FTX and who said they wouldn’t have put in money if they knew the truth. Bankman-Fried also lied about revenue, Roos said.

The prosecution reminded the court that Bankman-Fried directed losses to be shifted to Alameda and that FTX’s insurance fund had made up numbers. Add it all up, Roos said, and it debunks the defense’s main argument that Bankman-Fried acted in good faith and believed everything would work out.

“This was a fraud that occurred on a massive scale,” he said.

‘Every movie needs a villain’

Following the government’s closing argument, Cohen began his statements at a little before 3 p.m. He said the government is portraying Bankman-Fried as a “monster” and depicting him as a “villain” and a “bad guy.” Lawyers brought out testimony about his sex life and showed photos of him “looking awkward with celebrities,” Cohen said.

He said Bankman-Fried would talk to just about anyone who would listen, behavior that could make life messy but isn’t criminal. He said the prosecution has made the case into a “movie,” and the defense is showing what it’s like in the real world, where things are messy.

“Every movie needs a villain,” Cohen said.

He claimed the case against his client was built on the false premise that FTX was a fraudulent enterprise to intentionally steal customer funds.

Cohen broke the case up into two time periods. The first was 2019 to 2021, when there’s no indication of criminal intent. Up until June 2022, everyone involved thought they were operating the most successful crypto exchange in the world, Cohen said.

The second period was from June to November of 2022. Crypto winter had led to the failure of a number of businesses in the industry. That’s the first time it became clear that Alameda was using customer funds. In the fall of that year, Bankman-Fried saw a liquidity problem, not a solvency problem, Cohen said. He always thought there were sufficient funds on and off the exchange.

While FTX’s lack of a risk management system or chief risk officer reflected poor system controls, bad business decisions aren’t crimes, Cohen said.

The government carries the heavy burden of proving Bankman-Fried operated with criminal intent, and “it has not,” Cohen said. He said that prosecutors called Bankman-Fried “evil” and “arrogant” and described him as a “criminal mastermind.” But in getting into specific actions, “there’s nothing wrongful about margin trading,” he said.

Cohen said his client provided the court with good faith answers about what he remembered, and asked why a criminal mastermind would go speak in front of Congress. He described the government’s assumptions as “heads I win, tales you lose.”

With the defense continuing its closing argument, Judge Kaplan said the jury will likely be asked to stay late on Wednesday.

— CNBC’s Dawn Giel contributed to this report.

WATCH: Closing arguments underway in SBF trial

Closing arguments underway in SBF trial

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Companies are blaming AI for job cuts. Critics say it’s a ‘good excuse’

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Companies are blaming AI for job cuts. Critics say it’s a 'good excuse'

More companies are announcing AI-driven layoffs from Salesforce to Accenture.

Twenty20

From tech to airlines, large global companies have been slashing staff as the real-world impact of artificial intelligence plays out, spooking employees. But critics say AI has become an easy excuse for firms looking to downsize.

Last month, tech consultancy firm Accenture announced a restructuring plan that includes quick exits for workers that aren’t first able to reskill on AI. Days later, Lufthansa said it was going to eliminate 4,000 jobs by 2030 as it leans on AI to increase efficiency.

Salesforce also laid off 4,000 customer support roles in September, saying that AI can do 50% of the work at the company. Meanwhile, fintech firm Klarna has reduced staff by 40% as it aggressively adopts AI tools.

Language-learning platform Duolingo has stated that it will gradually stop relying on contractors and use AI to fill the gaps.

The headlines are grim, but Fabian Stephany, assistant professor of AI and work at the Oxford Internet Institute, said there might be more to job cuts than meets the eye.

Previously there may have been some stigma attached to using AI, but now companies are “scapegoating” the technology to take the fall for challenging business moves such as layoffs.

“I’m really skeptical whether the layoffs that we see currently are really due to true efficiency gains. It’s rather really a projection into AI in the sense of ‘We can use AI to make good excuses,'” Stephany said in an interview with CNBC.

Companies can essentially position themselves at the frontier of AI technology to appear innovative and competitive, and simultaneously conceal the real reasons for layoffs, according to Stephany.

“There might be various other reasons why companies are having to get rid of part of their workforce … Duolingo or Klarna are really prime candidates for this because there has been overhiring during Corona [Covid-19 pandemic] as well,” the professor said.

Some companies that flourished during the pandemic “significantly overhired” and the recent layoffs might just be a “market clearance.”

“It’s to some extent firing people that for whom there had not been a sustainable long term perspective and instead of saying “we miscalculated this two, three years ago, they can now come to the scapegoating, and that is saying ‘it’s because of AI though,'” he added.

This pattern has sparked conversation online. One founder, Jean-Christophe Bouglé even said in a popular LinkedIn post that AI adoption is at a “much slower pace” than is being claimed and in large corporations “there’s not much happening” with AI projects even being rolled back due to cost or security concerns.

“At the same time there are announcements of big layoff plans ‘because of AI.’ It looks like a big excuse, in a context where the economy in many countries is slowing down, despite what the incredible performance of stock exchanges suggest,” said Bouglé, who co-founded Authentic.ly.

Feeding the fear of AI

Jasmine Escalera, a careers expert, said this concealment is “feeding the fear of AI” with employees globally concerned about their jobs being replaced as a result of AI.

“So we already know that employees are scared because companies are not being honest, open and communicative about how they’re implementing AI,” Escalera told CNBC Make It. “Now companies are openly stating ‘We’re doing this [layoffs] because of AI’ so it’s feeding the frenzy.”

Escalera said big companies need to be more responsible as they set the tone for what’s the norm in business decision making and avoid greenlighting “bad behavior.”

A Salesforce spokesperson clarified to CNBC that the company deployed its own AI agent, Agentforce, which reduced the number of customer support cases and eliminated the need to “backfill support engineer roles,” they said.

View taken inside a Lufthansa Airbus A350 airplane on March 19, 2025.

Lufthansa to cut 4,000 jobs as airline turns to AI to boost efficiency

“We’ve successfully redeployed hundreds of employees into other areas like professional services, sales, and customer success,” the Salesforce spokesperson added.

Klarna directed CNBC to its co-founder and CEO Sebastian Siemiatkowski’s comments on X where he explained that the company shrank its workforce from 5,500 to 3,000 people in two years but “AI is only part of that story.”

Siemiatkowski linked the workforce reduction to slimming down its analytics team to one “success team,” with many then leaving by natural attrition as well as the reduction of the company’s customer success team.

Lufthansa and Accenture declined to comment on the matter and did not share any further details on their AI restructuring strategy. Duolingo did not respond to CNBC’s request for comment.

Mass AI layoffs are not here

The Budget Lab, a non-partisan policy research center at Yale University, released a report on Wednesday which showed that U.S. labor has actually been little disrupted by AI automation since the release of ChatGPT in 2022.

The lab examined U.S. labor market data from November 2022 to July 2025 using a “dissimilarity index” which measured how much the occupational mix—the share of workers in different jobs—has shifted since AI’s debut and compared it to other technological shifts such as the introduction of computers and the internet. It found that AI hasn’t yet caused widespread job losses.

Additionally, New York Fed economists released research in early September which showed that AI use amongst firms “do not point to significant reductions in employment” across the services and manufacturing industry in the New York–Northern New Jersey region.

It found that 40% of service firms said they were using AI this year, up from 25% last year, while manufacturing firms saw a similar jump from 16% last year to 26% this year, but very few were using AI to layoff workers.

Only 1% of the services firm reported AI as the reason for laying off workers in the past six months, down from 10% that had laid off workers using AI in 2024. Meanwhile, 12% of services firms said AI made them hire less workers in 2025.

By contrast, 35% of services firms have used AI to retrain employees and 11% have hired more as a result.

Stephany said there isn’t much evidence from his research that shows large levels of technological unemployment due to AI.

“Economists call this structural unemployment, so the pie of work is not big enough for everybody anymore and so people will lose jobs definitely because of of AI, I don’t think that this is happening on a mass scale,” he said.

He added that concerns about technology putting an end to human work can be seen throughout history.

“It reoccurred this century alone a dozen times, you can go back to ancient times where Roman emperors put hold to certain machines because they were worried about this and always the contrary happened. The machine made companies, industries more productive.

“It allowed for the emergence of entirely new jobs. If you think about the internet 20 years ago, nobody would have known what a social media influencer is, what an app developer is because it didn’t exist.”

Read more about companies conducting AI layoffs below:

A logo sits illuminated at the Accenture booth in Mobile World Congress 2025 on March 03, 2025 in Barcelona, Spain.

Accenture plans on ‘exiting’ staff who can’t be reskilled on AI amid restructuring strategy

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Close to half of Kalshi user base experienced glitches, delays during Saturday college football games

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Close to half of Kalshi user base experienced glitches, delays during Saturday college football games

The Kalshi logo arranged on a laptop in New York, US, on Monday, Feb. 10, 2025.

Gabby Jones | Bloomberg | Getty Images

Close to half of Kalshi’s user base experienced glitches and delays on Saturday during college football games, a major source of trades, as some said they were temporarily unable to process orders.

In a message sent to a user obtained by CNBC, the predictions market service’s website apologized for any inconvenience and said it was “looking into” the issues traders were experiencing. 

“The Exchange is experiencing temporary delays,” the message read. “Balances and positions may not be accurately reflected at this time.” 

One user shared a screen recording and screenshots with CNBC that showed they were unable to see their balance or bets while the issues persisted.

A number of users on X reported the website was down when they were trying to place bets on college football games, with some saying they had open orders that wouldn’t process. When CNBC visited the website, it wouldn’t load, showing only a green K with a spinning circle around it for more than 20 minutes. The platform later loaded.

“Earlier today, Kalshi experienced minor glitches that temporarily affected some user experiences. No exchange outage occurred, no funds were affected, and the issues are now resolved,” the company said in a statement.

Earlier, a spokesperson denied there was an outage and said the exchange “never stopped functioning properly.” He added that there has been no impact on clearing, advanced trading, or institutional trading.

“There were some glitches and delays on our web and app product, which affected less than half of our user base,” the spokesperson said. 

A little over a week ago, Kalshi announced a $300 million Series D funding round that valued the company at $5 billion, more than double its $2 billion valuation in June after its Series C round. 

The round was co-led by Andreessen Horowitz (a16z) and Sequoia Capital, with participation from Paradigm. Additional backers included Coinbase Ventures, General Catalyst, Spark Capital and CapitalG. 

The company, founded in 2018, rose to prominence by offering bettors the ability to trade on a wide range of real-world events, from football games to who President Donald Trump could pardon this year.

WATCH: Kalshi CEO on $2B valuation: We’re one of the fastest growing companies in America

Kalshi CEO on hitting $2B valuation: We're one of the fastest growing companies in America

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AI headshots are changing the way job seekers are seen and get hired in tough labor market

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AI headshots are changing the way job seekers are seen and get hired in tough labor market

AI headshots are becoming popular on LinkedIn and in professional portfolios as job seekers look for affordable profile pictures to give them an edge.

Since first impressions happen almost entirely through a screen, a clean, appealing photo is as important as a strong resume. And in a competitive job market, a good headshot can make a big difference. But professional photography has long been a financial barrier for many job applicants with an average starting cost for a professional headshot in the U.S. that can easily run up to hundreds of dollars.

Now job seekers are using fast and inexpensive AI tools to replace costly studio sessions.

“When I was at Yale, it was $200 for a 15-minute session for students,” said Melanie Fan, head of growth at Plush, an AI-powered online search platform for personalized shopping. “It was really expensive. The process of getting the pictures back, rendering them, looking at which ones I looked the best in, and then sending it back to the photographer for edit.”

This frustration has fueled the explosion of AI headshot tools like InstaHeadshots, PhotoPacksAI, HeadshotPro and Aragon AI, services that promise a professional image in minutes starting at under $50. Users simply upload selfies, pick a background, and receive dozens and no photographer is needed.

“After I changed my LinkedIn photo, the amount of inbound I’ve been getting from companies has skyrocketed,” Fan said. “Three to four times more messages from companies.”

Design company Canva recently launched its own AI headshot feature, with the goal of offering users a quick way to create realistic headshots and still be able to retouch or restyle them.

According to a recent Canva job market research report, 88% of job seekers believe a polished digital presence influences hiring decisions, which is up 45% from the year before. This is in line with the general uptick in use of AI as part of the application and hiring process, with 90% of hiring managers saying they have used AI to help with the hiring process, and 96% of job seekers who used AI in the application process saying they received callbacks.

Danny Wu, Canva’s head of AI products, said the goal wasn’t to replace real photography, but to make high quality imagery attainable to everyone no matter the budget or location. Once a user uploads an image, Canva can use AI for adjusting or changing the background, placing something in a different place, and for styling. “This is just a more accessible way to get professional and unique headshots,” Wu said.

Risks and questions about authenticity among HR recruiters

Anyone with a phone can get a LinkedIn-ready headshot, but the technology’s rapid adoption has created new questions about ethics and trust. Many candidates fear looking fake or deceptive and recruiters are on the lookout for AI-generated portraits that look overly smooth or stylized, saying authenticity matters the most.

“It is perceived as risky to use an AI headshot,” said Sam DeMase, ZipRecruiter career expert. “While recruiters accept them, a bad AI-generated headshot will put off most recruiters,” DeMase said. “A poorly done AI-generated headshot is easily recognized, reads as inauthentic, and can hurt the candidate’s chances of being selected.”

However, recruiters are struggling to tell if a headshot is AI produced, and the technology will only get better. “It’s becoming more and more difficult to tell whether a headshot has been enhanced or generated by AI,” DeMase added.

Chris Bora, founder and principal AI architect of Bora Labs and a former Meta engineer, said he built his own headshot generator, Nova Headshot, after being disappointed by existing options. “Some made me look taller and skinnier,” Bora said. “The other ones, they made me look lighter, so it wasn’t really me,” he said. “You don’t need to spend thousands to look professional anymore. You just need a tool that makes you look like yourself on your best day. With Nova, it takes less than ten minutes,” Bora said.

Amber Collins, an AI headshot user, said she still feels uneasy about it, especially since not every app gets it right. “There are a lot of bad apps out there,” Collins said. “Seven fingers, half a necklace, and the rest of it is gone from your neck. I feel guilty using AI. There’s a stigma. I’d 100% prefer to get actual get headshots done,” Collins said.

But ultimately, she says, the benefits outweighed the risks. “In this economy, you have to be mindful of where you’re going to put your money. I don’t need to have my face out there excessively, but having a couple of really good, solid, professional looking headshots is worth it to me,” Collins said.

Wu said the goal for job applicants seeking a headshot should be to use Canva’s tool to balance realism and creativity without losing their identity.

The tension between tech innovation and accessibility on the one hand, and authenticity on the other, will remain.

A LinkedIn spokesperson told CNBC what while the platform does allow the use of tools, including AI, to enhance or create profile photos, “the photo must reflect your likeness.”

“Profile photos that don’t comply with our user agreement or professional community policies may be removed,” the LinkedIn spokesperson said.

DeMase noted that many job candidates remain hesitant to use an AI headshot. “A headshot is one of the few places you can inject humanity into the job search,” he said.

But with job seekers now able to provide the appearance they had access to the same studio lighting, camera, and editing team as the pros, the trend is unlikely to stop.

A recent survey found that headshot use among job seekers is the highest within the Gen Z and millennial generations. And while recruiters may say they still prefer real photos, AI headshots are becoming harder to spot, and less likely to even be reviewed by humans in the first stages of the application process. A recent study from the HR trade group SHRM found that 66% of human resource professionals are using AI to generate their job descriptions, and 44% are using the technology to review or screen applicant resumes.

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