When Microsoft first invested $1 billion in OpenAI in 2019, the deal received no more attention than your average corporate venture round. The startup market was blazing hot, and artificial intelligence was one of many areas attracting mega-valuations, alongside electric vehicles, advanced logistics and aerospace.
Three years later, the market looks very different.
Startup funding has cratered following the collapse of public market multiples for high-growth, money-losing tech companies. The exception is artificial intelligence, specifically generative AI, which refers to technologies focused on producing automated text, visual and audio responses.
No private company is hotter than OpenAI. In November, the San Francisco-based startup introduced ChatGPT, a chatbot that went viral thanks to its ability to craft human-like replies to users’ queries about nearly any topic.
Microsoft’s once under-the-radar investment is now a major topic of discussion, both in venture circles and among public shareholders, who are trying to figure out what it means to the potential value of their stock. Microsoft’s cumulative investment in OpenAI has reportedly swelled to $13 billion and the startup’s valuation has hit roughly $29 billion.
That’s because Microsoft isn’t just opening up its fat wallet for OpenAI. It’s also the arms dealer, as the exclusive provider of computing power for OpenAI’s research, products and programming interfaces for developers. Startups and multinational companies, including Microsoft, are rushing to integrate their products with OpenAI, which means massive workloads running on Microsoft’s cloud servers.
Microsoft is integrating the technology into its Bing search engine, sales and marketing software, GitHub coding tools, Microsoft 365 productivity bundle and Azure cloud. Michael Turrin, an analyst at Wells Fargo, says it could all add up to over $30 billion in new annual revenue for Microsoft, with roughly half coming from Azure.
What does that mean for Microsoft’s investment and broader arrangement?
“It’s so good that I have investors asking me how they pulled it off, or why OpenAI would even do this,” Turrin said in an interview.
However, the financial implications are anything but straightforward.
OpenAI was founded in 2015 as a nonprofit. The structure changed in 2019, when two top executives published a blog post announcing the formation of a “capped-profit” entity called OpenAI LP. The current setup restricts the startup’s first investors from making more than 100 times their money, with lower returns for later investors, such as Microsoft.
After Microsoft’s investment is paid back, it will receive a percentage of OpenAI LP’s profits up to the agreed-upon cap, with the rest flowing to the nonprofit body, an OpenAI spokesperson said. A Microsoft spokesperson declined to comment.
Greg Brockman, an OpenAI co-founder and one of the blog post’s authors, wrote in a 2019 Reddit comment that, for investors, the system “feels commensurate with what they could make investing in a pretty successful startup (but less than what they’d get investing in the most successful startups of all time!).”
It’s an unfamiliar model in Silicon Valley, where maximizing returns has long been the priority of the venture community. Nor does it make much sense to Elon Musk, who was one of OpenAI’s founders and early backers. Several times this year, Musk has tweeted his concerns about OpenAI’s unconventional structure and its implications for AI, particularly given Microsoft’s level of ownership.
“OpenAI was created as an open source (which is why I named it ‘Open’ AI), non-profit company to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company effectively controlled by Microsoft,” Musk tweeted in February. “Not what I intended at all.”
Brockman said on Reddit that if OpenAI succeeds, it could “create orders of magnitude more value than any company has to date.” As a major OpenAI investor, Microsoft would benefit.
Aside from its investment, leaning on OpenAI has the potential to help Microsoft dramatically reverse its fortunes in AI, where it’s stumbled publicly and didn’t build a meaningful business on its own. Microsoft pulled the Clippy assistant from Word, Cortana from the Windows taskbar and its Tay chatbot from Twitter.
Unlike areas such as advertising or security, Microsoft hasn’t disclosed the scale of its AI business, though CEO Satya Nadella said in October that revenue from its Azure Machine Learning service had doubled for four consecutive quarters.
If nothing else, the work with OpenAI has given Nadella bragging rights. Here’s what he said at Microsoft’s annual shareholder meeting in December, a month after ChatGPT was launched:
“When I think about Azure, one of the things that we have done, in fact, in the context of even ChatGPT, which today is one of the more popular AI applications out there, guess what? It’s all trained on the Azure supercomputer.”
In February, Microsoft held a press event at its headquarters in Redmond, Washington, to announce new AI-powered updates to its Bing search engine and Edge browser. Altman was one of the featured speakers.
It’s been a bumpy ride since then, as the Bing chatbot has held some highly publicized and creepy conversations with users, and it also served up some incorrect answers at the launch. Somewhat fortunately for Microsoft, Google’s rollout of its rival Bard AI service was underwhelming, leading employees to describe it as “rushed” and “botched.”
Despite the early hiccups, the enthusiasm for new technologies based on large language models, or LLMs, is palpable across the tech industry.
At the core of OpenAI’s bot is an LLM called GPT-4 that’s learned to compose natural-sounding text after being trained on extensive online information sources. Microsoft has an exclusive license on GPT-4 and all other OpenAI models, the OpenAI spokesperson said.
There are plenty other LLMs available.
Last month, Google said it had given some developers early access to an LLM called PaLM.
Startups AI21 Labs, Aleph Alpha and Cohere offer their own LLMs, as does Google-backed Anthropic, which has picked Google as its “preferred” cloud provider. Like Altman and Musk, Anthropic cofounder Dario Amodei, who was previously vice president of research at OpenAI, has expressed concerns about the unbridled power of AI.
In 2021, Anthropic registered in Delaware as a public-benefit corporation, signifying an intention to have a positive impact on society even as it pursues profits.
“We were and are focused on developing innovative structures to provide incentives for safe development and deployment of AI systems and will have more to share on this in the future,” an Anthropic spokesperson told CNBC in an email.
Across the industry, one thing is clear: it’s early days.
Quinn Slack, CEO of code-search startup Sourcegraph, said he hasn’t seen proof that the OpenAI partnership has given Microsoft a notable advantage, even though he called OpenAI the top LLM provider.
“I don’t think people should look at Microsoft and say they’ve totally locked up OpenAI and OpenAI is doing their bidding,” Slack said. “I truly believe people there are motivated to build amazing technology and make it as widely used as possible. They view Microsoft as a great customer but not someone that’s controlling. That’s good, and I hope it stays that way.”
OpenAI has plenty of skeptics. Late last month the nonprofit Center for Artificial Intelligence and Digital Policy called on the Federal Trade Commission to stop OpenAI from releasing new commercial releases of GPT-4, describing the technology as “biased, deceptive, and a risk to privacy and public safety.”
When considering potential exits for OpenAI, Microsoft — which does not hold an OpenAI board seat — would be the natural acquirer given its close entanglement. But that sort of deal would likely attract regulatory scrutiny, because of concerns about AI and about Microsoft stifling competition. By remaining an investor and not becoming OpenAI’s owner, Microsoft could avoid Hart-Scott-Rodino reviews from U.S. competition regulators.
“I’ve gone through it. It’s painful,” said David Zilberman, a partner at Norwest Venture Partners.
Based on its existing valuation, the more probable path for OpenAI is an eventual IPO, said Scott Raney, a managing director at Redpoint Ventures.
According to PitchBook data, OpenAI is on pace to generate $200 million in revenue this year, up 150% from 2022, and then $1 billion in 2024, which would imply 400% growth.
“When you raise at a $30 billion valuation, it’s kind of like, there’s no turning back at that point,” Raney said. You’re saying, “Our plan is to be a big independent standalone company.”
OpenAI’s spokesperson said there are no plans to go public or get acquired.
Bitcoin fell on Monday as volatility in the price of the world’s largest cryptocurrency continues following an executive order signed by President Donald Trump to create a strategic bitcoin reserve for the United States.
Bitcoin was trading at $81,712, down over 5% but off earlier lows, at 9:42 a.m. Singapore time, according to Coin Metrics.
The reserve will be funded by coins that have been seized in criminal and civil forfeiture cases and there are no plans for the U.S. government to buy more bitcoin. After the strategic reserve announcement last Thursday, crypto prices declined as investors were disappointed it wasn’t a more aggressive program.
Other cryptocurrency prices also dropped on Monday. Both ether and XRP were down about 7.5% at around 9:43 a.m. Singapore time.
Some investors, however, said the move to establish a reserve was bullish in the long-term.
“I absolutely think the market has this wrong,” Matt Hougan, chief investment officer at Bitwise Asset Management, told CNBC’s “Squawk Box Asia” on Monday. “The market is short-term disappointed” that the government didn’t say it was immediately going to start acquiring 100,000 or 200,000 bitcoin, he added.
Hougan pointed towards comments on X from White House Crypto and AI Czar David Sacks, who said the U.S. would look for “budget-neutral strategies for acquiring additional bitcoin, provided that those strategies have no incremental costs on American taxpayers.”
“I think the right question to ask is: did this executive order make it more likely that in the future, bitcoin will be a geopolitically important currency or asset? Will other governments look to follow the U.S.’s lead and build their own strategic reserve? And to me, the answer to that is emphatically yes,” Hougan said.
“The reason that questions matters is that’s the question that determines if bitcoin is $80,000 a coin or $1 million a coin.”
Hougan called the decline in crypto prices a “short-term setback.”
“I think the market will soon find its footing and realize that actually this is incredibly bullish long term for this asset and for crypto as a whole,” he said.
A person walks past the entrance to a Google building in Dublin, Feb. 15, 2023.
Artur Widak | Anadolu | Getty Images
After landing internship offers from Amazon, Meta and TikTok, computer science student Chungin “Roy” Lee has decided to move to San Francisco.
But he won’t be joining any of those companies.
Instead, Lee will be building his own startup that offers a peculiar service: helping software engineers use artificial intelligence to cheat in their technical job interviews.
“Everyone programs nowadays with the help of AI,” said Lee, a 21-year-old student at Columbia University, which has opened disciplinary proceedings against him, according to documents viewed by CNBC. A Columbia spokesperson said the university doesn’t comment on individual students.
“It doesn’t make sense to have an interview format that assumes you don’t have the use of AI,” Lee said.
Lee is at the forefront of a movement among professional coders who are exploiting the limitations of remote job interviews, popularized during the Covid pandemic, by using AI tools off camera to ensure they give hiring managers the best possible answers.
The hiring process that took hold in the work-from-home era involved candidates interviewing from behind a Zoom screen rather than traveling, sometimes across the country, for on-location interviews, where they could show their coding skills on dry-erase boards.
In late 2022 came the boom in generative AI, with the release of OpenAI’s ChatGPT. Since then, tech companies have laid off tens of thousands of programmers while touting the use of AI to write code. At Google, for example, more than 25% of new code is written by AI, CEO Sundar Pichai told investors in October.
The combination of rapid advancements in AI, mass layoffs of software developers, and a continuing world of remote and hybrid work has created a novel conundrum for recruiters.
The problem has become so prevalent that Pichai suggested during a Google town hall in February that his hiring managers consider returning to in-person job interviews.
Google isn’t the only tech company weighing that idea.
But engineers aren’t slowing down.
Lee has turned his cheating into a business. His company, Interview Coder, markets itself as a service that helps software developers cheat during job interviews. The internship offers that he landed are the proof he uses to show that his technology works.
AI assistants for virtual interviews can provide written code, make code improvements, and generate detailed explanations of results that candidates can read. The AI tools all work quickly, which is helpful for timed interviews.
Hiring managers are venting their frustrations on social media over the rise of AI cheaters, saying that those who get caught are eliminated from contention. Interviewers say they’re exhausted from having to discern whether candidates are using their own skills or relying on AI.
‘Invisible’ help
The cheating tools rely on generative AI models to provide software engineers with real-time answers to coding problems as they’re presented during interviews. The AI analyzes both written and oral questions and instantaneously generates code. The widgets can also provide the cheaters with explanations for the solutions that they can use in the interview.
The tools’ most valuable feature, however, might be their secrecy. Interview Coder is invisible to the interviewer.
While candidates are using technology to cheat, employers are observing their behavior during interviews to try to catch them. Interviewers have learned to look for eyes wandering to the side, the reflection of other apps visible on candidates’ glasses, and answers that sound rehearsed or don’t match questions, among other clues.
Perhaps the biggest tell is a simple “Hmm.”
Hiring managers said they’ve noticed that many candidates use the ubiquitous sound to buy themselves time while waiting for their AI tools to finish their work.
“I’ll hear a pause, then ‘Hmm,’ and all of a sudden, it’s the perfect answer,” said Anna Spearman, founder of Techie Staffing, an agency that helps companies fill technical roles. “There have also been instances where the code looked OK, but they couldn’t describe how they came to the conclusion.”
Henry Kirk, a software developer and co-founder of Studio.init in New York, said this type of cheating used to be easy to catch.
“But now it’s harder to detect,” said Kirk. He said the technology has gotten smart enough to present the answers in a place that doesn’t require users to move their eyes.
“The eye movement used to be the biggest giveaway,” Kirk said.
Interview Coder’s website says its virtual interview tool is immune to screen detection features that are available to companies on services such as Zoom and Google Meet. Lee markets his product as being webcam-proof.
When Kirk hosted a virtual coding challenge for an engineering job he was looking to fill in June, 700 people applied, he said. Kirk recorded the process of the first interview round. He was looking to see if any candidates were cheating in ways that included using results from large language models.
“More than 50% of them cheated,” he said.
AI cheating tools have improved so much over the last year that they’ve become nearly undetectable, experts said. Other than Lee’s Interview Coder, software engineers can also use programs such as Leetcode Wizard or ChatGPT.
Kirk said his startup is considering moving to in-person interviews, though he knows that potentially limits the talent pool.
“The problem is now I don’t trust the results as much,” Kirk said. “I don’t know what else to do other than on-site.”
Google CEO Sundar Pichai during an event at the Google for Startups Campus in Warsaw, Poland, Feb. 13, 2025.
Omar Marques | Anadolu | Getty Images
Back to the Googleplex
It’s become a big topic at Google, and one Pichai addressed in February at an internal town hall meeting, where executives read questions and comments that were submitted by employees and summarized by AI, according to an audio recording that was reviewed by CNBC.
One question asked of management was, “Can we get onsite job interviews back?”
“There are many email threads about this topic,” the question said. “If budget is constraint, can we get the candidates to an office or environment we can control?”
Pichai turned to Brian Ong, Google’s vice president of recruiting, who was joining through a virtual livestream.
“Brian, do we do hybrid?” Pichai asked.
Ong said candidates and Google employees have said they prefer virtual job interviews because scheduling a video call is easier than finding a time to meet in available conference rooms. The virtual interview process is about two weeks faster, he added.
He said interviewers are instructed to probe candidates on their answers as a way to decipher whether they actually know what they’re talking about.
“We definitely have more work to do to integrate how AI is now more prevalent in the interview process,” said Ong. He said his recruiting organization is working with Google’s software engineer steering committee to figure out how the company can refine its interviewing process.
“Given we all work hybrid, I think it’s worth thinking about some fraction of the interviews being in person,” Pichai responded. “I think it’ll help both the candidates understand Google’s culture and I think it’s good for both sides.”
Ong said it’s also an issue “all of our other competitor companies are looking at.”
A Google spokesperson declined to comment beyond what was said at the meeting.
Other companies have already shifted their hiring practices to account for AI cheating.
Deloitte reinstated in-person interviews for its U.K. graduate program, according to a September report.
Anthropic, the maker of AI chatbot Claude, issued new guidance in its job applications in February, asking candidates not to use AI assistants during the hiring process.
“While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process,” the new policy says. “We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate ‘Yes’ if you have read and agree.”
Amazon is also taking steps to combat AI cheating.
The company asks that candidates acknowledge that they won’t use unauthorized tools during the interview or assessment process, spokesperson Margaret Callahan told CNBC.
Chungin “Roy” Lee, a 21-year-old student at Columbia University, is the founder of Interview Coder, a startup that makes software to help computer programmers cheat in job interviews with the help of AI.
Courtesy of Chungin Lee
‘F*ck Leetcode’
If you visit InterviewCoder.co, the first thing that greets you is large gray type that reads “F*ck Leetcode.”
Leetcode is the program used by many tech companies to evaluate software engineers for technical roles. Tech companies such as Meta, Google and Amazon use it to keep tabs on the thousands of job applicants they evaluate.
“Every time I mention interviews, I get frustrated comments about Leetcode,” wrote Ryan Peterman, a software engineer at Meta, in a newsletter posted on Substack in December. Peterman said Leetcode problems are purposely designed to be much harder than what software engineers would do on the job. Leetcode is the best tool companies have to filter hundreds of applicants, Peterman wrote.
Coders said they hate Leetcode because it emphasizes algorithmic problem-solving and asks applicants to solve riddles and puzzles that seem irrelevant to the job, according to those CNBC spoke with as well as comments CNBC found from engineers across various social media platforms. Another downside is that it sometimes requires hours of work that may not result in a job offer or advancement, they said.
Leetcode served as Lee’s inspiration for building Interview Coder, he said. With the help of AI, he said, he created the service in less than a week.
“I thought I wanted to work at a big tech company and spent 600 hours practicing for Leetcode,” Lee said. “It made me miserable, and I almost stopped programming because of how much I didn’t like it.”
Lee’s social media posts are filled with comments from other programmers expressing similar frustrations.
“Legend,” several comments said in response to some of his X posts. Others said they enjoyed him “f—ing with big tech.”
Rival software Leetcode Wizard was also inspired by distaste for Leetcode.
Isabel De Vries, Leetcode Wizard’s head of marketing, told CNBC in a statement that Leetcode-style interviews fail to accurately measure engineering skills and fail to reflect actual daily engineering work.
“Our product originates from the same frustrations many of our users are having,” De Vries said.
Leetcode did not respond to CNBC’s request for comment.
Henry Kirk, a software developer and co-founder of Studio.init in New York, is considering moving job interviews to be on site in response to software engineers using AI to cheat in virtual interviews.
Photo by Krista Schlueter for Inc. Magazine
When Kirk, of Studio.init, posted on LinkedIn in February to vent about his frustrations with AI cheating, he received nearly 200 comments. But most argued that employers should allow candidates to use AI in the hiring process.
“Even the SAT lets you use a calculator,” said one comment. “I think you just make it harder to succeed on purpose when in the real world Google and gpt will always be at my fingertips.”
Lee promotes Interview Coder as being “invisible to all screen-recording softwares.” To prove its effectiveness, he recorded himself passing an Amazon interview and posted the video on YouTube. Amazon and the other companies that had made offers to Lee then rescinded them.
Lee got hundreds of comments praising the video, which YouTube removed after CNBC reached out to Amazon and Google for this story. YouTube cited a “copyright claim” by Amazon as the reason for removing the video.
“I as an interviewer am so annoyed by him but as a candidate also adore him,” former Meta staff engineer Yangshun Tay, co-founder of startup GreatFrontEnd, wrote in a LinkedIn post about Lee and his video. “Cheating isn’t right, but oh god I am so tired of these stupid algorithm interviews.”
After YouTube removed the video, Lee uploaded it once again.
Cheating as a service
Lee said he never planned to work at Amazon, Meta or TikTok. He said he wanted to show others just how easy it is to game Leetcode and force companies to find a better alternative.
And, he said, he’s making money in the process.
Interview Coder is available as a subscription for $60 a month. Lee said the company is on track to hit $1 million in annual recurring revenue by mid-May.
He recently hired the internet influencers who go by the name “Costco Guys” to make a video marketing his software.
“If you’re struggling to pass your Leetcode interviews and want to get a job at a big tech company, you’ve got to take a look at Interviewcoder.co to pass your interview,” the Costco Guys say in their video. “Because Interview Coder gets five big booms! Boom! Boom! Boom! Boom! Boooooom!”
Leetcode Wizard bills itself on its website as “The #1 AI-powered coding interview cheating app” and “The perfect tool for achieving a ‘Strong Hire’ result in any coding interview and landing your dream job at any FAANG company.” Leetcode Wizard charges 49 euros ($53) a month for a “Pro” subscription.
More than 16,000 people have used the app, and “several hundred” people have told Leetcode Wizard that they received offers thanks to the software, the company told CNBC.
“Our product will have succeeded once we can shut it down, when leetcode interviews are a thing of the past,” De Vries said.
Lee said he’s moving from New York to San Francisco in March to continue building Interview Coder and start working on his next company.
Kirk said he understands software engineers’ frustration with Leetcode and the tech industry. He’s had to use Leetcode numerous times throughout his career, and he was laid off by Google in 2023. He now wants to help out-of-work engineers get jobs.
But he remains worried that AI cheating will persist.
“We need to make sure they know their stuff because these tools still make mistakes,” Kirk said.
Half of companies currently use AI in the hiring process, and 68% will by the end of 2025, according to an October survey commissioned by ResumeBuilder.com.
Lee said that if companies want to bill themselves as AI-first, they should encourage its use by candidates.
Asked if he worries about software engineers losing the trust of the tech industry, Lee paused.
“Hmm,” he mumbled.
“My reaction to that is any company that is slow to respond to market changes will get hurt and that’s the fault of the company,” Lee said. “If there are better tools, then it’s their fault for not resorting to the better alternative to exist. I don’t feel guilty at all for not catering to a company’s inability to adapt.”
Meta‘s Facebook’s influence remains strong globally, but younger users are logging in less. Only 32% of U.S. teens use Facebook today, down from 71% in 2014, according to a 2024 Pew Research study. However, Facebook’s resale platform Marketplace is one reason young people are on the platform.
“I only use Facebook for Marketplace,” said Mirka Arevalo, a student at Buffalo University. “I go in knowing what I want, not just casually browsing.”
Launched in 2016, Facebook Marketplace has grown into one of Meta’s biggest success stories. With 1.1 billion users across 70 countries, it competes with eBay and Craigslist, according to BusinessDasher.
“Marketplace is the flea market of the internet,” said Charles Lindsay, an associate professor of marketing at the University of Buffalo. “There’s a massive amount of consumer-to-consumer business.”
Unlike eBay or Etsy, Marketplace doesn’t charge listing fees, and local pickups help avoid shipping costs, according to Facebook’s Help Center.
“Sellers love that Marketplace has no fees,” said Jasmine Enberg, VP and Principal Analyst at eMarketer. “Introducing fees could push users elsewhere.”
Marketplace also taps into the booming resale market, projected to hit $350 billion by 2027, according to ThredUp.
“Younger buyers are drawn to affordability and sustainability,” said Yoo-Kyoung Seock, a professor at the College of Family and Consumer Sciences at the University of Georgia. “Marketplace offers both.”
A key advantage is trust; users’ Facebook profiles make transactions feel safer than on anonymous platforms like Craigslist, according to Seock.
In January 2025, eBay partnered with Facebook Marketplace, allowing select eBay listings to appear on Marketplace in the U.S., Germany, and France. Analysts project this will drive an additional $1.6 billion in sales for eBay by the end of 2025, according to Wells Fargo.
“This partnership boosts the number of buyers and sellers,” said Enberg. “It could also solve some of Marketplace’s trust issues.”
While Facebook doesn’t charge listing fees, it does take a 10% cut of sales made through its shipping service, according to Facebook’s Help Center.
Marketplace isn’t a major direct revenue source, but it keeps users engaged.
“It’s one of the least monetized parts of Facebook,” said Enberg. “But it brings in engagement, which advertisers value.”
“Marketplace helps Meta prove younger users still log in,” said Enberg. “Even if they’re buying and selling instead of scrolling.”
By keeping users engaged, Marketplace plays a key role in Facebook’s long-term strategy, ensuring the platform remains relevant in a changing digital landscape.