Wed. 07/02 – In Meta v. OpenAI, Who’s Desperate And Who’s Scared? - Tech Brew Ride Home

Summary

Techmeme Ride Home: Detailed Summary of "Meta v. OpenAI, Who’s Desperate And Who’s Scared?"

Host: Brian McCullough
Episode Release Date: July 2, 2025
Podcast: Techmeme Ride Home
Duration: Approximately 15 minutes

Brian McCullough dives deep into the turbulent landscape of the tech industry, focusing on significant layoffs, the intense talent war between Meta and OpenAI, Figma’s impending IPO, the rise of Chinese AI models, and the evolution of computer science education in the age of artificial intelligence (AI).

1. Tech Layoffs: Microsoft and the AI-Driven Workforce Attrition

[00:04 – 03:30]

The episode opens with McCullough expressing concern over increasing layoffs in the tech sector, attributing them to what he terms the "AI job pocalypse." Microsoft emerges as a primary example, announcing plans to lay off approximately 9,000 employees, representing less than 4% of its global workforce. This follows previous cuts of 6,000 jobs in May and 300 in June.

A Microsoft spokesperson is quoted:

“We continue to implement organizational changes necessary to best position the company and teams for success in a dynamic marketplace.”
([00:45])

Despite Microsoft's robust financial performance—reporting nearly $26 billion in net income on $70 billion in revenue for the March quarter and projecting a 14% year-over-year revenue growth driven by Azure and productivity software—massive layoffs continue. The rationale suggests that AI advancements allow companies to achieve more with fewer employees, aligning with the broader "AI attrition theory." This trend isn't isolated, with other software firms like Autodesk, Chegg, and CrowdStrike also making significant workforce reductions.

2. Meta vs. OpenAI: The Fierce Talent Battle

[03:31 – 12:15]

A significant portion of the episode centers on the escalating competition for AI talent between Meta and OpenAI. Wired reports that Mark Zuckerberg has made over ten offers to top AI researchers, each potentially worth up to $300 million over four years, with more than $100 million in total compensation in the first year alone.

An anonymous OpenAI staffer shared with Wired:

“That’s about how much it would take for me to go to work at Meta.”
([04:55])

This aggressive recruitment strategy by Meta starkly contrasts with OpenAI's challenges in attracting and retaining top talent. Meta's approach involves offering unparalleled financial incentives and assurances of abundant resources, which is in sharp contrast to OpenAI’s more constrained financial situation. Sam Altman, CEO of OpenAI, expressed concerns in an internal memo:

“Meta has been trying to recruit people for a super long time and I've lost track of how many people from here they've tried to get to be their chief scientist.”
([09:20])

Altman emphasized OpenAI’s commitment to its mission and culture, stating:

“We have the most special team and culture in the world. We have work to do to improve our culture... building AGI in a good way, this is our top thing and always will be.”
([11:00])

The competitive landscape is likened to high-stakes sports teams, with Meta equating to the Yankees or Dodgers—teams loaded with elite talent but under immense pressure to perform. Conversely, OpenAI is portrayed as a mission-driven organization striving to maintain its cultural integrity amidst external pressures and aggressive poaching attempts by Meta.

Analysts suggest that Meta's exorbitant offers may appear "thirsty" or "desperate," potentially reflecting deeper strategic vulnerabilities. Meanwhile, OpenAI remains steadfast, prioritizing long-term success and cultural values over immediate financial incentives.

3. Figma's IPO: A Beacon in the Tech IPO Scene

[12:16 – 15:00]

Shifting focus, McCullough highlights Figma’s recent decision to file for an Initial Public Offering (IPO), trading under the ticker FIG on the NYSE. Figma reported impressive financials for Q1, with revenues up 46% year-over-year to $228.2 million and net income soaring by 233% to $44.9 million.

CEO Dylan Field commented:

“It was time for Figma to buck the trend of many amazing companies staying privately indefinitely.”
([13:30])

The IPO is highly anticipated, especially after a failed $20 billion acquisition deal with Adobe due to regulatory hurdles in the UK. Figma’s growth metrics, including 13 million monthly users and significant international revenue, position it as a strong contender in the Software-as-a-Service (SaaS) market. The potential success of Figma’s IPO could invigorate the tech IPO landscape, signaling robust investor confidence in high-growth SaaS companies.

4. The Rise of Chinese AI Models and Global Competition

[15:01 – 20:00]

McCullough examines the expanding influence of Chinese AI models, particularly Deepseek and Alibaba, which are gaining significant traction globally despite OpenAI’s dominance with ChatGPT, which boasts 910 million global downloads compared to Deepseek’s 125 million.

Chinese AI’s competitive edge lies in offering comparable performance at substantially lower prices, attracting a diverse user base from multinational banks like HSBC and Standard Chartered to major corporations like Saudi Aramco and even American cloud service providers such as AWS, Microsoft, and Google.

However, the White House has intervened, banning Deepseek’s app on certain government devices due to data security concerns. OpenAI acknowledges the competitive pressure but maintains that American AI remains the industry standard, backed by superior computing, semiconductor technology, cutting-edge research, and extensive financial capital.

At a recent Senate hearing, Microsoft President Brad Smith stated:

“The number one factor that will define whether the US or China wins this race is whose technology is most broadly adopted in the rest of the world.”
([17:45])

This global competition is framed as a potential technological cold war, with countries facing a choice between aligning with American or Chinese AI ecosystems. OpenAI warns that Chinese startups like Zhipu AI aim to lock in technological standards in emerging markets, posing strategic challenges to U.S. and European AI firms.

5. Universities Reimagining Computer Science Education for an AI-Driven Future

[20:01 – 25:00]

The episode wraps up with a discussion on how leading universities are adapting their computer science curricula to meet the demands of an AI-centric world. Institutions like Carnegie Mellon are emphasizing computational thinking and AI literacy over traditional programming prowess. Stanford's Alex Akin remarks:

“AI will ultimately democratize software creation. Traditional programming jobs may decline, but more people across all industries will use AI tools to build tailored applications.”
([23:10])

The National Science Foundation is spearheading the "Level Up AI" initiative, aiming to overhaul AI education by fostering computational thinking and data utilization skills. Dr. David D. Cortina from Carnegie Mellon emphasizes the integration of core AI principles with practical, hands-on experience, ensuring that students not only use AI tools but also understand their underlying mechanisms.

Connor Drake, a senior at UNC Charlotte, exemplifies the shifting landscape as he navigates a challenging job market by diversifying his skill set and embracing interdisciplinary studies, highlighting the diminishing guarantee of employment that a computer science degree once provided.

Jeanette Wing, Executive Vice President of Research at Columbia University, encapsulates the urgency:

“We’re seeing the tip of the AI tsunami. Educators are scrambling to prepare students for a future where AI is ubiquitous.”
([24:50])

Conclusion

Brian McCullough concludes the episode by noting the forthcoming changes and excitement in the tech world, hinting at more substantial content in future episodes. The landscape is clearly shifting, with AI driving both innovation and disruption across various facets of technology and education.

Key Takeaways:

Massive Layoffs: Even highly profitable tech giants like Microsoft are reducing their workforce, likely influenced by AI-driven efficiencies.
Talent Wars: Meta’s aggressive financial incentives to lure AI talent from OpenAI highlight a fierce competition, potentially signaling Meta’s strategic vulnerabilities.
Figma's Growth: Figma's successful financial performance and upcoming IPO represent positive momentum for SaaS companies in the tech market.
Global AI Race: Chinese AI models are making significant inroads internationally, challenging OpenAI’s dominance and contributing to a potential technological cold war.
Educational Shifts: Universities are overhauling computer science programs to prioritize AI literacy and computational thinking, preparing students for an AI-integrated future.

This episode encapsulates the dynamic and often tumultuous nature of the tech industry, where innovation, competition, and strategic maneuvers continuously reshape the landscape.

Transcript

Brian McCullough (0:04)

Welcome to the Tech Meme Ride home for Wednesday, July 2, 2025. I'm Brian McCullough. Today, more layoffs make me more concerned. The AI job pocalypse is coming to tech this summer in the big Meta v OpenAI talent battle. Who is desperate and who is scared? We reframe the situation a little bit there. Figma files for an IPO Chinese AI seems to be gaining ground worldwide and do universities need to fundamentally rethink teaching computer science? Here's what you missed today in the world of tech. CNBC is reporting that Microsoft plans to lay off around 9,000 employees, or less than 4% of its global workforce across teams and role types, after cutting around 6,000 jobs in May. This is adding further fuel to my speculation that AI driven workforce attrition might come to tech platforms. First quote the announcement comes on the second day of Microsoft's 2026 fiscal year. Executives at the Redmond, Washington based company typically unveil reorganizations at the time of the new fiscal year. We continue to implement organizational changes necessary to best position the company and teams for success in a dynamic marketplace, a Microsoft spokesperson said in an email. Microsoft remains one of the most profitable companies in the S&P 500, reporting nearly $26 billion in net income on $70 billion in revenue for the March quarter. Executives projected around 14% year over year revenue growth for the June quarter, driven largely by gains in Azure cloud services and productivity software subscriptions. But despite these strong financials, Microsoft has ag trimmed its workforce throughout 2024. The company laid off more than 6,000 employees in May, followed by at least 300 more in June. Back in January, it had already cut less than 1% of staff and around. Reportedly based on performance. For context, the company eliminated 10,000 jobs in 2023, and its most dramatic layoff to date occurred in 2024, when 18,000 positions were slashed. And that is the point of the AI attrition theory, as we saw when we heard about CrowdStrike laying off people. Despite record growth, big tech platforms might be seeing ways to do more with less headcount thanks to AI, even at times of record profitability. Microsoft is not alone in this trend. Software firms including Autodesk, Chegg and the aforementioned CrowdStrike have also made significant cuts this year. The whole Zuck making AI people huge offers they can't refuse has become the story of the summer in tech, I guess. Now Wired is reporting Mark Zuckerberg has on more than 10 occasions offered top AI research talent up to $300 million over four years, with $100 million plus in total compensation for just the first year, quote that's about how much it would take for me to go to work at meta, says one OpenAI staffer who spoke with Wired on the condition of anonymity as they aren't authorized to speak publicly about the company. Other employees said that they were weighing the money against the potential impact they could have at Meta in comparison to OpenAI. Their impact would be greater at OpenAI. As a point of comparison, Satya Nadella, CEO of Microsoft, received $79.1 million in total compensation in 2024, most of it in stock, according to a financial filing by the company. Dara Khosrowshahi, the CEO of uber, made roughly $39.4 million, again mostly in stock. That same year, Zuckerberg told potential recruits they would not have to worry about running out of resources, according to the Wall Street Journal. That's an attractive offer in the AI industry, where access to cutting edge chips or GPUs is highly competitive and can influence how impactful the research ends up being at OpenAI, researchers have complained that Sam Altman has been known to promise people access to GPUs only to feel like there was no follow through from leadership. End quote. Yes, that's what I've been hearing as well. The thing that I've heard Zuck is pitching is that he has the money to do whatever people want to do. Endless resources. The idea here is that while both Microsoft and Google have money, they also have other business concerns that constrain them from shotgun blasting as much money as Meta can. And AI has no prospect of competing with Meta's existing cash cows, so there would be no politics around innovators dilemma type issues. As far as OpenAI is concerned, they're clearly money constrained. They have to go hat in hand to raise money from investors. Elon might be trying to kill OpenAI by attacking their ability to raise capital. Zuck wants to kill them by walling off their access to talent. Put it in this context. If they were really serious about all 10 or so of those offers, that means Meta was willing to spend $3 billion just to bring in talent just on compensation. But note that the reporting suggests none of those people have taken these offers yet. At least what does that say about Meta's reputation? Also, the rumors are these offers were often being made to fill the role of chief scientists. Who is the current Chief AI Scientist at Meta? Yann LeCun. Hmm. So what we have to ask is, is this a compelling argument on Meta's part, looking at it from a certain angle, it looks a bit thirsty, even a bit desperate. Like you're literally making people offer so big as to overwhelm their common sense. Lots of folks are making the sports analogy. Here's signal on X Meta is basically the Yankees or the Dodgers. Right now they're loading up the roster with elite AI researchers, dumping billions into infra and signaling we're going for when you do that, the world expects rings. You don't get to say we're still experimenting. After you dropped $20 billion plus and poached half of OpenAI, the pressure is now insane. Every paper, every product, every demo will be scrutinized like a playoff performance. All eyes on the scoreboard now. Conversely, there are signs this really is spooking OpenAI. Wired also got their hands on this internal memo from Sam Altman on Monday. Meta has gotten a few great people for sure, but on the whole it is hard to overstate how much they didn't get their top people and had to go quite far down their list. They have been trying to recruit people for a super long time and I've lost track of how many people from here they've tried to get to be their chief scientist, he wrote. I am proud of how mission oriented our industry is as a whole. Of course there will always be some mercenaries. He added that missionaries will beat mercenaries and noted that OpenAI is assessing compensation for the entire research organization. Believe there is much, much more upside to OpenAI stock than Meta stock, he wrote. But I think it's important that huge upside comes after huge success. What Meta is doing will, in my opinion, lead to very deep cultural problems. We will have more to share about this soon, but it's very important to me we do it fairly and not just for people who Meta happened to target. Altman then made his pitch for people to remain at OpenAI. I have never been more confident in our research roadmap, he wrote. We are making an unprecedented bet on compute, but I love that we are doing it and I'm confident we will make good use of it. Most importantly of all, I think we have the most special team and culture in the world. We have work to do to improve our culture. For sure we have been through insane hypergrowth, but we have the core right in a way I don't think anyone else quite does and I'm confident we can fix the problems and maybe more importantly than that, we actually care about building AGI in a good way, he added. Other companies care more about this as an AI instrumental goal to some other mission. But this is our top thing and always will be. Long after Meta has moved on to their next flavor of the week or defending their social moat, we will be here day after day, year after year, figuring out how to do what we do better than anyone else. A lot of other efforts will rise and fall too. End quote right? Playing on the whole Meta crypto pivot, the whole Metaverse pivot. This is all we do. You can't trust Zuck to still be into this and 18 months or so. So what is it OpenAI? Are they in danger of being brain drained and getting scared and appealing to people's sense of putting a dent in the universe? Or is it actually Meta that's looking like it's flailing, looking desperate? Quotingx not so hot take is Google is going to be the Dallas Mavericks type of tight knit team and culture that winds up winning, especially as OpenAI meta, anthropic, et cetera go crazy in the transfer portal. End quot Figma has filed for an IPO, planning to trade on the NYSE under the ticker FIG and reported Q1 revenue up 46% year on year to $228.2 million and net income up 233% year on year to 44.9 million. Quoting CNBC, the offering would be one of the hotly anticipated IPOs in recent years given Figma's growth rate and its high private market valuation. In late 2023, a $20 billion acquisition agreement with Adobe was scrapped due to regulatory concerns in the UK that led Adobe to pay Figma a $1 billion termination fee. Revenue in the first quarter increased 46% to $228.2 million from $156.2 million in the same period a year ago, according to Figma's prospectus. The company recorded a net income of $44.9 million comp million a year earlier. CEO Dylan Field is the biggest individual owner of Figma, with 56.6 million Class B shares and 51.1% of voting power ahead of the IPO. He said in a letter to investors that it was time for Figma to buck the trend of many amazing companies staying privately indefinitely. As of March 31, Figma had approximately 450,000 customers, with 1,031 of them generating at least $100,000 in annual revenue, an increase of 47% year over year. The company hasn't disclose how many shares it will offer in its IPO. It was last valued at $12.5 billion in a tender offer in 2023. In April, it revealed that it had confidentially submitted its IPO paperwork to the sec. While Figma acknowledged facing intense competition, it did not identify specific rivals, warning that a decline in market share could significantly impact its business. Figma reports more than 13 million monthly users, but only about one third are professional designers. As of March 31, roughly 85% of users were based outside the US though international customers accounted for just 53% of total revenue. If there is a pop after this ipo, it would represent very good news for the tech IPO scene, especially because Figma is essentially a SaaS company. 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Four delicious flavors to choose from Blueberry Breeze, Peach Iced Tea, Raspberry Limeade and Salted Watermelon. Every single flavor I've tried is legit delicious right now. Techmeme Ride Home listeners can save 30% off their first order and enjoy free shipping on orders over 75 bucks. Head to cornbreadhemp.com ride and use code ride at checkout. That's cornbreadhemp.com ride code ride cornbread hemp this is the good life, According to the Journal, Chinese AI models from Deepseek and others are becoming more popular worldwide. While Sensor Tower ChatGPT has 910 million global downloads since its release, Deepseek now has seen 125 million downloads in Europe, the Middle East, Africa and Asia. Users ranging from multinational banks to public universities are turning to large language models from Chinese companies such as startup Deepseek and e commerce giant Alibaba as alternatives to American offerings such as ChatGPT. HSBC and Standard Chartered have begun testing DeepSeq's models internally, according to people familiar with the matter. Saudi Aramco, the world's largest oil company, recently installed DeepSeq in its main data center. Even major American cloud service providers such as Amazon Web Services, Microsoft and Google offer deepsea to customers. Despite the White House banning use of the company's app on some government devices over data security concerns. OpenAI's ChatGPT remains the world's predominant AI consumer chatbot, with 910 million global downloads compared with Deepseek's 125 million figures from researchers Sensor Tower show American AI is widely seen as the industry's gold standard, thanks to advantages in computing, semiconductors, cutting edge research and access to financial capital. But as in many other industries, Chinese companies have started to snatch customers by offering performance that is nearly as good at vastly lower prices. A study of global competitiveness in critical technologies released in early June by researchers at Harvard University found China has advantages in two key building blocks of AI data and human capital that are helping it keep pace. The competition, some industry insiders say, has set the world on the path toward a technological cold war in which countries will have to decide to align with either American or Chinese AI systems. The number one factor that will define whether the US Or China wins this race is whose technology is most broadly adopted in the rest of the world, Microsoft President Brad Smith said at a recent Senate hearing. Whoever gets there first will be difficult to supplant. In a public post on substack on June 25, OpenAI wrote that Zhipu AI, a Chinese AI startup, was making inroads helping Southeast Asian, Middle Eastern and African nations build out their AI infrastructure. OpenAI said the Chinese startup's goal was to lock Chinese systems and standards into emerging markets before U.S. or European rivals can, and claimed its leadership frequently engaged with Chinese Communist Party officials. OpenAI has a similar business line selling AI solutions to governments around the world. We want to make sure democratic AI wins over authoritarian AI, OpenAI chief executive Sam Altman said in May. End quote finally today from the Times, a bit of a long read. Carnegie Mellon and other US Universities are rethinking their computer science programs to adapt to generative AI, doing things like focusing more on computational thinking and AI literacy. Quote Computer science programs at universities across the country are now scrambling to understand the implications of the technological transformation, grappling with what to keep teaching. In the AI era, ideas range from less emphasis on mastering programming languages to focusing on hybrid courses designed to inject computing into every profession. As educators ponder what the tech jobs of the future will look like in an AI economy, we're seeing the tip of the AI tsunami, said Jeanette Wing, a computer science professor who is executive vice president of research at Columbia University. Heightening the sense of urgency is a tech job market that has tightened in recent years. Computer science graduates are finding that job offers, once plentiful, are often scarce. Tech companies are already relying more on AI for some aspects of coding, eliminating some entry level work work. Some educators now believe the discipline could broaden to become more like a liberal arts degree, with a greater emphasis on critical thinking and communication skills. End quote The National Science foundation is backing a new initiative called Level Up AI to reimagine how artificial intelligence is taught in colleges. Led by the Computing Research association in partnership with New Mexico State University, the 18 month program brings together educators from universities and community colleges to develop shared curricula, host events and publish best practices around AI education. Dr. Mary Lou Maher, director at the Computing Research association, said the project is motivated by an urgent need for more students with AI knowledge in the workforce. Rather than focusing solely on coding, the future of computer science education will emphasize computational thinking and AI literacy, teaching students how to break down problems, use data effectively, and understand how AI works and impacts society. At Carnegie Mellon, Dr. David D. Cortina supports integrating core AI principles with practical hands on work. Initially, students relied on AI as a shortcut to complete assignments, but many have since realized the value of understanding how to write and debug code independently. Meanwhile, students like Connor Drake, a senior at UNC Charlotte, are navigating a challenging tech job market. Once considered a guaranteed path to employment, a computer science degree no longer ensures easy entry. Drake, who landed a cybersecurity internship after sending 30 applications, is broadening his skill set with a minor in political science and leadership roles on campus. Hiring across tech has slowed, particularly for entry level positions, with job postings down sharply since the pandemic era boom. However, experts like Stanford's Alex Akin believe AI will ultimately democratize software creation. While traditional programming jobs may decline, more people across all industries will use AI tools to build tailored applications, expanding the definition of who programs I said that was a bit of a long read because this is the last episode of this week. The July 4th holiday is of course coming soon here in the US so I am taking tomorrow and Friday off. I will talk to you again on Monday. Sometimes I do try to have bonus content for you when I take more than one day off, but not this time. I'll explain why soon. Actually, we've got a big summer coming up for this podcast. Big exciting new things. More on that soon as I say day. Anyway, talk to you on Monday. Happy 4th.