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Sutskever to lead Safe Superintelligence after Meta poaches CEO Gross in AI talent war

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By Krystal Hu

(Reuters) -Ilya Sutskever has taken over the reins of Safe Superintelligence (SSI), the artificial intelligence startup he launched last year, after losing CEO Daniel Gross to an intensifying talent war in the industry.

Gross has joined Meta Platforms to lead its AI products division, sources told Reuters.

The development comes as tech giants such as Meta Platforms aggressively chase high-profile acquisitions and offer multi-million-dollar pay packages to attract top talent in the race to lead the next wave of artificial intelligence.

Meta had also attempted to recruit Sutskever and acquire SSI, which was most recently valued at $32 billion, sources familiar with the matter told Reuters.

“You might have heard rumors of companies looking to acquire us. We are flattered by their attention but are focused on seeing our work through,” Sutskever said in a post on X. SSI raised $1 billion in cash last year to build advanced AI systems designed to safely exceed human intelligence.

Sutskever has previously served as OpenAI’s chief scientist. He left the ChatGPT maker, which he co‑founded, after his involvement in Sam Altman’s dramatic firing and rehiring in November 2023.

Meta CEO Mark Zuckerberg has launched a new division, Meta Superintelligence Labs, to unify the company’s AI efforts, following setbacks with its Llama 4 model and key staff departures.

The unit will be led by former Scale AI CEO Alexandr Wang and ex-GitHub chief Nat Friedman, after Meta invested $14.3 billion in Scale and ramped up efforts to recruit top AI talent.

Gross and Friedman are known to be close, having co-founded the venture capital firm NFDG — named after their initials. The firm has backed high-profile startups including Safe Superintelligence, Perplexity and Figma.

Apple acquired Gross’s startup, Cue, in 2013 for its predictive search and AI technology, after which Gross joined the iPhone maker as a director, overseeing machine learning and artificial intelligence.

(Reporting by Akash Sriram in Bengaluru and Krystal Hu in New York, additional reporting by Jaspreet Singh in Bengaluru; Editing by Shinjini Ganguli)



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Tech Companies Pay $200,000 Premiums for AI Experience: Report

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  • A consulting firm found that tech companies are “strategically overpaying” recruits with AI experience.
  • They found firms pay premiums of up to $200,000 for data scientists with machine learning skills.
  • The report also tracked a rise in bonuses for lower-level software engineers and analysts.

The AI talent bidding war is heating up, and the data scientists and software engineers behind the tech are benefiting from being caught in the middle.

Many tech companies are “strategically overpaying” recruits with AI experience, shelling out premiums of up to $200,000 for some roles with machine learning skills, J. Thelander Consulting, a compensation data and consulting firm for the private capital market, found in a recent report.

The report, compiled from a compensation analysis of roles across 153 companies, showed that data scientists and analysts with machine learning skills tend to receive a higher premium than software engineers with the same skills. However, the consulting firm also tracked a rise in bonuses for lower-level software engineers and analysts.

The payouts are a big bet, especially among startups. About half of the surveyed companies paying premiums for employees with AI skills had no revenue in the past year, and a majority (71%) had no profit.

Smaller firms need to stand out and be competitive among Big Tech giants — a likely driver behind the pricey recruitment tactic, a spokesperson for the consulting firm told Business Insider.

But while the J. Thelander Consulting report focused on smaller firms, some Big Tech companies have also recently made headlines for their sky-high recruitment incentives.

Meta was in the spotlight last month after Sam Altman, CEO of OpenAI, said the social media giant had tried to poach his best employees with $100 million signing bonuses

While Business Insider previously reported that Altman later quipped that none of his “best people” had been enticed by the deal, Meta’s chief technology officer, Andrew Bosworth, said in an interview with CNBC that Altman “neglected to mention that he’s countering those offers.”





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A Recipe for Tech Bubble 2.0

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The tech industry’s history is littered with cautionary tales of irrational exuberance: the dot-com boom, the crypto craze, and the AI winter of the 2010s. Today, Palantir Technologies (PLTR) stands at the intersection of hype and hubris, its stock up over 2,000% since 2023 and trading at a Price-to-Sales (P/S) ratio of 107x—a metric that dwarfs even the most speculative valuations of the late 1990s. This is not sustainable growth; it is a textbook bubble. With seven critical risks converging, investors are poised for a reckoning that could slash Palantir’s valuation by 60% by 2027.

The Illusion of Growth: Valuation at 107x Sales

Let’s start with the math. A P/S ratio of 107x means investors are betting that Palantir’s revenue will grow 107-fold to justify its current price. For context, during the dot-com bubble, Amazon’s peak P/S was 20x, and even Bitcoin’s 2017 mania never pushed its P/S analog to such extremes. shows a trajectory that mirrors the NASDAQ’s 2000 peak—rapid ascents followed by catastrophic collapses.

Seven Risks Fueling the Implosion

1. The AI Bubble Pop

Palantir’s valuation is tied to its AI product, Gotham, which promises to revolutionize data analytics. But history shows that AI’s promise has often exceeded its delivery. The AI winters of the 1970s and 1980s saw similar hype, only to crumble under overpromised outcomes. Today’s AI tools—despite their buzz—are still niche, and enterprise adoption remains fragmented. A cooling in AI enthusiasm could drain investor confidence, leaving Palantir’s inflated valuation stranded.

2. Gotham’s Limited Market

Gotham’s core clients are governments and large enterprises. While this niche offers stability, it also caps growth potential. Unlike cloud platforms or social media, Palantir’s market is neither scalable nor defensible against competitors. If governments shift spending priorities—or if AI’s ROI fails to materialize—the demand for Gotham’s services will evaporate.

3. Insider Selling: A Signal of Doubt

Insiders often sell shares when they anticipate a downturn. While specific data on Palantir’s insider transactions is scarce, the stock’s meteoric rise since 2023 has coincided with a surge in institutional selling. This behavior mirrors the final days of the dot-com bubble, when executives offloaded shares ahead of the crash.

4. Interest-Driven Profits, Not Revenue Growth

Palantir’s profits now rely partly on rising interest rates, which boost returns on its cash reserves. This financial engineering masks weak organic growth. When rates inevitably fall—or inflation subsides—this artificial profit driver will vanish, exposing the company’s fragile fundamentals.

5. Dilution via Equity Issuances

To fund its ambitions, Palantir has likely diluted shareholders through stock offerings. The historical data shows its adjusted stock prices account for splits and dividends, but no splits are noted. This silent dilution reduces equity value, a tactic common in bubble-stage companies desperate to fund unsustainable growth.

6. Trump’s Fiscal Uncertainty

Palantir’s government contracts depend on political stability. With a potential Trump administration’s fiscal policies uncertain—ranging from spending cuts to regulatory crackdowns—the company’s revenue streams face existential risks.

7. Valuation Precedents: The 2000 Dot-Com Crash Revisited

Valuation metrics matter. In 2000, the NASDAQ’s P/S ratio averaged 4.5x. Palantir’s 107x ratio is 23 times higher—a disconnect from reality. When the dot-com bubble burst, companies like Pets.com and Webvan, once darlings, lost 99% of their value. Palantir’s fate could mirror theirs.

The Inevitable Correction: 60% Downside by 2027

If Palantir’s valuation reverts to a more rational 10x P/S—a still aggressive multiple for its niche market—its stock would plummet to $12.73, a 60% drop from its July 2025 high. Even a 20x P/S, akin to Amazon’s peak, would price it at $25.46—a 75% drop. This is not a prediction of doom; it is arithmetic.

Investment Advice: Avoid the Sizzle, Seek the Steak

Investors should treat Palantir as a warning sign, not a buy signal. The stock’s rise has been fueled by sentiment, not fundamentals. Stick to companies with proven scalability, sustainable margins, and valuations grounded in reality. For Palantir? The only question is whether it will crash to $12 or $25—either way, the party is over.

In the annals of tech history, one truth endures: bubbles always pop. Palantir’s 2023–2025 surge is no exception. The only question is how many investors will still be dancing when the music stops.

Data sources: Historical stock price summaries (2023–2025), Palantir’s P/S ratio calculations, and fusion of market precedents.



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