The AI Bull Market Revalues Everything, Including the 'Male Valuation System' in the Dating Market

marsbitPubblicato 2026-05-13Pubblicato ultima volta 2026-05-13

Introduzione

AI Bull Market Reprices Everything, Including the "Male Valuation System" in the Dating Market A new hierarchy is emerging in dating markets, driven by the AI boom. Men working for AI infrastructure and core companies are now considered top prospects. The article presents a "Dating Desirability Ranking" for men in the AI era. **Top Tier ("Extremely Hot"): NVIDIA & SK Hynix Employees** NVIDIA, viewed as the "oil" of AI, and SK Hynix, a leading HBM memory maker, are in a league of their own. SK Hynix employees, in particular, have become highly sought-after in South Korea's matchmaking scene due to their massive performance bonuses, which averaged ~$65,000 per employee last year and are projected to reach millions. This has led to increased interest in office romances for "economic synergy." **High Tier ("Hot"): Anthropic & OpenAI Employees** Employees at these leading AI labs have seen significant wealth realization through large-scale employee stock sales. Unlike the paper wealth of the dot-com era, substantial amounts have been cashed out, placing their actual wealth far above traditional tech workers. They are considered high-growth, high-volatility assets. **Elite Tier ("Top Tier"): DeepSeek & ByteDance AI Team Members** Fierce competition for AI talent has made employees at these companies highly valuable. ByteDance's valuation has soared with its massive AI investment, leading to significant employee stock appreciation. DeepSeek is also fighting to retain core talent...

Original|Odaily Planet Daily(@OdailyChina)

Author|Wenser(@wenser 2010 )

A new form of 'hard currency' has recently emerged in the Korean matchmaking market—SK Hynix employees.

Kang Eun-seon, a director at the Korean matchmaking agency Gayeon, frankly stated: "In the past, we would match SK Hynix employees with partners roughly around a B+ level, but now it's unconditionally an A level." One anonymous Hynix employee even said: "On blind dates, we usually pretend we work at Samsung Electronics first; we only confess we're actually at Hynix when we meet someone with good character."

The hierarchy in the Korean and even global dating market has quietly been rewritten.

If the most sought-after matches used to be 'Samsung employees', finance guys, and civil servants, then with the AI bull market sweeping the globe, the people truly being revalued by the market have become:

NVIDIA employees;

SK Hynix engineers;

OpenAI and Anthropic researchers;

AI team members at DeepSeek and ByteDance.

The primary market revalues companies, the secondary market revalues stocks, and now the market has begun to revalue 'blind date men'.

In view of this, Odaily Planet Daily will compile a "Most Sought-After Single Men in the AI Era Ranking List," for your reference during tea breaks, based on multiple dimensions such as company valuation, employee income, industry status, and wealth potential.

Off the Charts Hot: NVIDIA & SK Hynix

If there's a "T0 tier" in the current dating market, it almost indisputably belongs to NVIDIA and SK Hynix.

The former is the biggest "money printing machine" in the AI world.

With the sustained explosive demand for AI computing power, NVIDIA has become one of the biggest beneficiaries of the global AI wave. After the US stock market opened yesterday, Nvidia's stock price hit another all-time high; meanwhile, Wells Fargo once again raised its target price, maintaining an "Overweight" rating.

A consensus is gradually forming in the capital markets: in today's era, GPUs are no longer just chips; they are the "oil" of the AI world.

On the other side, what has collectively driven the Korean dating market wild is the nearly absurd scale of bonuses for SK Hynix employees.

Last year, SK Hynix revised its "Performance Sharing (PS)" system, stipulating that 10% of operating profit would go directly into the bonus pool, while also removing the bonus cap.

The result is:

With the explosive demand for HBM (High Bandwidth Memory), Hynix employees' bonuses have entered the "hundreds of millions of won era."

Last year, SK Hynix changed the distribution method for its "Performance Sharing (PS)," stipulating that 10% of operating profit would be allocated to the bonus pool while removing the cap relative to annual salary.

For fiscal year 2025, the company's operating profit reached 47.2 trillion won. Calculated at 10%, the more than 30,000 Hynix employees could each receive an average bonus of 140 million won (approximately RMB 650,000).

In the first quarter of this year, the average per-employee bonus was already as high as 107 million won, about RMB 500,000. Furthermore, according to further predictions by the international investment bank Macquarie Securities, SK Hynix's operating profit is expected to surge to 447 trillion won by 2027, with per-employee bonuses reaching 1.29 billion won, approximately RMB 6.1 million.

With such hefty rewards, Hynix employees are not only extremely sought after in the dating market but are even seriously considering "internal pairing."

One anonymous employee stated: "Recently, unmarried employees are paying significantly more attention to each other. After all, the economic synergy of marrying a colleague is too great; office romance is now seriously considered a strategic option."

When bonuses start being calculated in "hundreds of millions of won," 'office romance' suddenly transforms from HR's biggest headache into an act of family asset allocation. Even due to the high correlation between performance bonuses and attendance time, many employees have started actively avoiding parental leave. Some workplace couples even say: "With bonuses of hundreds of millions of won right in front of us, who can afford to take leave now?"

SK Hynix employees are no longer just engineers; they are more like AI concept stocks in the Korean dating market.

Therefore, NVIDIA, crowned as the "world's highest market capitalization company," and SK Hynix, the "bonus myth maker," are undisputedly placed in the first tier of this ranking list, with a rating of "Off the Charts Hot."

Clip from the Korean variety show SNL: "Hynix Workwear as a Pass to Luxury Stores"

Hot: Anthropic, OpenAI

If NVIDIA and Hynix represent AI infrastructure, then OpenAI and Anthropic represent the most sought-after "new money" of the AI era.

Over the past year, valuations of both companies have inflated crazily. Simultaneously, employee wealth has also entered a genuine "realization phase."

Last October, OpenAI completed a staggeringly large employee stock sale. According to The Wall Street Journal, over 600 current and former employees cashed out a total of $66 billion (approximately RMB 480 billion) in that round of transactions. About 75 people received the maximum amount, $30 million each. After completing a $122 billion funding round at an $852 billion valuation this year, OpenAI has recently further eased restrictions on employee stock sales. After closing a new funding round this April, OpenAI recently went a step further in relaxing employee stock sale limits.

The situation at Anthropic is similar.

This April, Anthropic again conducted an employee stock sale at a $350 billion valuation, but due to employees' obvious reluctance to sell, many investors failed to acquire their expected shares.

Unlike the stories of "paper options" from the previous internet era, this round of AI companies has genuinely started allowing employees to realize and pocket their "equity wealth."

In other words: the actual wealth levels of these AI company employees far surpass those of most big tech employees from the traditional internet era.

However, compared to stable cash flow printers like NVIDIA and Hynix, OpenAI and Anthropic resemble more "high-volatility, high-growth assets."

Therefore, we temporarily assign them a "Hot" rating.

Elite: Deepseek, ByteDance

One of the biggest changes in a bull market is that global internet companies have started to realize anew: the most expensive asset is no longer GPUs, but people, especially AI talent.

Last December, ByteDance was revealed to be planning a massive ramp-up in AI investment; this year, with the further upgrade of its AI strategy, the scale of its AI-related investments has reached a staggering RMB 200 billion level.

Simultaneously, ByteDance's valuation has continued to rise. According to the latest market news, ByteDance's current valuation has exceeded $600 billion, $50 billion higher than three months ago.

This April, it initiated a new round of employee stock buybacks, with the repurchase price for current employees raised to $229.5 per share, an appreciation of 14.52% from the previous price; the repurchase price for former employees is $201.96 per share, an appreciation of about 11.97% from the previous round, leading to another substantial increase in employees' paper wealth.

On the other side, DeepSeek is also launching its own "AI Talent Defense War."

With some core personnel gradually leaving, DeepSeek's Liang Wenfeng also needs to use equity to retain his core team.

In May, market rumors first surfaced that DeepSeek was seeking financing at a $45 billion valuation; subsequently, news was officially announced that DeepSeek plans to seek RMB 50 billion in funding.

It's worth mentioning that, according to reports, of DeepSeek's RMB 50 billion funding quota, only RMB 30 billion will come from external financing, with Liang Wenfeng himself covering RMB 20 billion under the guise of internal fundraising. As the boss of quantitative fund Huafang, Liang undoubtedly has the means, and Huafang Fund's RMB 70 billion under management and 58.5% annualized return also give him ample confidence.

Clearly, while OpenAI and Anthropic use dollars to retain talent, Chinese AI companies are beginning to use RMB to fight their own AI talent war.

And in today's market, those who can secure a seat at the main AI table are themselves extremely scarce high-level players.

Therefore, whether it's ByteDance or DeepSeek, their employees deserve an "Elite" rating in the dating market.

NPC: Samsung, Tencent

If the aforementioned companies have already boarded the AI high-speed train, then Samsung Electronics and Tencent seem more like players still trying to find their "AI boarding pass."

First, Samsung.

For decades, being a "Samsung person" was almost one of the strongest professional auras in Korean society. But in the AI era, Samsung has unexpectedly become the one being re-examined by the market.

Due to missing the early layout of HBM, missteps in technical route selection, and product certification issues, Samsung has gradually been suppressed by Hynix in the AI memory competition.

Simultaneously, Samsung employees have also started "looking up to Hynix." Recently, the Samsung National Union even planned to launch a large-scale strike, hoping the company would increase the bonus ratio and remove the bonus cap mechanism. If these demands are not met, the Samsung Union will launch a large-scale strike lasting 18 days (starting May 21). JPMorgan estimates that this could cause KRW 4 trillion in losses and reduce production of DRAM and NAND chips.

It must be said, it's somewhat understandable why SK Hynix employees "pose" as Samsung employees in the dating market, as mentioned earlier.

Negotiations Break Down, Massive Samsung Strike Seems Inevitable

On the other side, Tencent isn't having an easy time either.

Compared to ByteDance's aggressive AI investment, Tencent appears more cautious. Previously, Tencent President Martin Lau stated that the company invested about RMB 18 billion in new AI products last year, and it will double this year; however, the gap with ByteDance's investment level of hundreds of billions of RMB remains significant.

Meanwhile, Tencent also faces slowing growth in its traditional businesses.

On May 13th, Tencent's Q1 2026 financial report was released, showing: Revenue of RMB 196.458 billion, a year-on-year increase of 9%; Non-IFRS operating profit of RMB 75.63 billion, a year-on-year increase of 9%. Overall, revenue and profit growth slowed to single-digit levels, with AI investment dragging down short-term gross margin; in gaming performance, revenue from the domestic market games was RMB 45.4 billion, a year-on-year increase of 6%, lagging behind the growth rate of domestic market game gross billings.

This is also a key reason why Tencent did not take the initiative in DeepSeek's recent financing round. Previously, media reports suggested Tencent proposed subscribing for up to 20% of DeepSeek's shares, but DeepSeek was unwilling to relinquish significant control.

And this is why the market is increasingly frequently discussing: Has Tencent actually obtained the real "boarding pass" for the AI era?

After all, what Tencent built back then was the most expensive "Noah's Ark" of the mobile internet era—WeChat; but the new boarding pass for the AI era, no one knows yet who will ultimately hold it.

Therefore, we temporarily assign a rating of "NPC" to employees of Samsung and Tencent.

Done For: Traditional Finance Guys, Crypto Bros

Finally, compared to the employees of the AI giants above, traditional finance guys and crypto bros are gradually losing the era's红利.

The reason is quite simple: the most sought-after profession of an era often represents the core wealth distribution rights of that era.

For the past few decades: the financial industry represented capital, the internet industry represented traffic; the crypto circle represented overnight wealth.

But AI has long begun redefining everything.

Compared to AI giant teams with bonuses in the millions and stock cash-outs in the billions of dollars, traditional finance guys and crypto bros suddenly seem somewhat "out of sync with the times."

Especially against the backdrop of the US stock market's continued AI-driven focus, the structural market in A-shares, and the loss of new wealth effects in the crypto circle, the halos of "financial elites" and "crypto gurus" have faded.

Based on the current dating market trends and parental judgment standards, the above two groups can only receive a "Done For" rating in the dating market.

Representative Profile Picture of a Traditional Finance Guy

Current State of Crypto Bros

Do you think such ratings are reasonable? Do you have other rating references? Please leave your opinions and views in the comments.

Attached is the ranking generator (from Hot to Done For): https://tool.dayun.cool/ranking

Domande pertinenti

QWhat are the two companies considered the 'T0 version' in the current AI dating market according to the article?

AAccording to the article, NVIDIA and SK Hynix are considered the 'T0 version' or top-tier companies in the current AI dating market.

QWhy have SK Hynix employees become so sought-after in the Korean dating scene?

ASK Hynix employees have become extremely sought-after in the Korean dating scene primarily due to the company's lucrative profit-sharing bonus system, which has led to employees receiving annual bonuses worth hundreds of thousands or even millions of RMB, making them highly attractive partners.

QHow does the article describe the financial situation of OpenAI and Anthropic employees compared to the traditional internet boom?

AThe article states that employees at OpenAI and Anthropic have seen their equity wealth truly materialize and be cashed out, with significant stock sales allowing them to realize substantial gains. This is contrasted with the 'paper options' of the previous internet era, indicating their actual wealth now far exceeds that of most traditional big tech company employees from that time.

QWhich two companies does the article categorize with the 'NPC' rating, and why?

AThe article categorizes Samsung Electronics and Tencent with the 'NPC' rating. This is because Samsung has faced setbacks in the AI memory competition (like HBM) against SK Hynix, while Tencent's AI investments are seen as more cautious compared to rivals like ByteDance, leading to questions about whether they have secured a decisive position in the AI era.

QWhat rating does the article give to traditional finance professionals and crypto men in the dating market, and what is the reason?

AThe article gives the lowest rating, described as '拉完了' (roughly meaning 'pulled finished' or 'done for'), to traditional finance professionals and crypto men. The reason is that the core wealth distribution power is shifting to the AI industry. Compared to the massive bonuses and equity cash-outs in AI giants, the appeal and wealth-creation光环 of traditional finance and crypto has diminished in the current era.

Letture associate

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

OpenAI has announced a major internal reorganization just months before its anticipated IPO. The company is merging its three flagship product lines—ChatGPT, Codex, and the API platform—into a single, unified product organization. The most significant leadership change involves co-founder and President Greg Brockman moving from a background technical role to take full, permanent control over all product strategy. This follows the indefinite medical leave of AGI Deployment CEO Fidji Simo. Additionally, ChatGPT's longtime lead, Nick Turley, has been reassigned to enterprise products, with former Instagram executive Ashley Alexander taking over consumer offerings. The consolidation, internally framed as a strategic move towards an "Agentic Future," aims to break down internal silos and create a cohesive "Super App." This planned desktop application would integrate ChatGPT's conversational abilities, Codex's coding power, and a rumored internal web browser named "Atlas" to autonomously perform complex user tasks. The reorganization occurs amid significant internal and external pressures. OpenAI has recently seen a wave of high-profile departures, including Sora co-lead Bill Peebles and other senior technical leaders, leading to concerns about a thinning executive bench. Externally, rival Anthropic recently secured funding at a staggering $900 billion valuation, surpassing OpenAI's own. Google's upcoming I/O developer conference also poses a competitive threat. Analysts suggest the dramatic restructure is a pre-IPO move to present a clearer, more focused narrative to Wall Street—streamlining operations and demonstrating decisive leadership under Brockman to counter internal turbulence and intense market competition.

marsbit55 min fa

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

marsbit55 min fa

Two Survival Structures of Market Makers and Arbitrageurs

Market makers and arbitrageurs represent two distinct survival structures in high-frequency trading. Market makers primarily use limit orders (makers) to profit from the bid-ask spread, enjoying high capital efficiency (nominally 100%) but bearing inventory risk. This "inventory risk" arises from passive, fragmented, and discontinuous order fills in the limit order book (LOB). This risk, while a potential cost, can also contribute to excess profit if managed within control boundaries, allowing for mean reversion. Market makers essentially sell "time" (uncertainty over execution timing) to the market for price control and low fees. In contrast, cross-exchange arbitrageurs typically use market orders (takers) to exploit price differences or funding rates, resulting in lower nominal capital efficiency (requiring capital on both exchanges) and higher transaction costs. Their risk exposure stems from asymmetries in exchange rules (e.g., minimum order sizes), execution latency, and infrastructure risks (e.g., ADL, oracle drift). These exposures are active, exogenous gaps that primarily erode profits rather than contribute to them. Arbitrageurs essentially sell "space" (capital sunk across venues) for localized, immediate certainty. Both strategies engage in a trade-off between execution friction and residual risk. Optimal systems allow for temporary, controlled risk exposure rather than enforcing zero exposure at all costs. Their evolution converges towards hybrid models: arbitrageurs may use maker orders to reduce costs, while market makers may use taker orders or hedges for risk management. Ultimately, both use different forms of risk exposure—market makers exposing inventory, arbitrageurs immobilizing capital—to extract marginal, hard-won certainty from the market.

链捕手55 min fa

Two Survival Structures of Market Makers and Arbitrageurs

链捕手55 min fa

Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

This article, based on Anthropic's analysis, outlines the intensifying systemic competition between the U.S./allies and China for AI leadership by 2028. It argues that access to advanced computing power ("compute") is the critical bottleneck, where the U.S. currently holds a significant advantage through chip export controls and allied innovation. However, China's AI labs remain competitive by exploiting policy loopholes—via chip smuggling, overseas data center access, and "model distillation" attacks to copy U.S. model capabilities—keeping them close to the frontier. The piece presents two contrasting scenarios for 2028. In the first, decisive U.S. action to tighten compute controls and curb distillation locks in a 12-24 month AI capability lead, cementing democratic influence over global AI norms, security, and economic infrastructure. In the second, policy inaction allows China to achieve near-parity through continued access to U.S. technology, enabling Beijing to promote its AI stack globally and integrate advanced AI into its military and governance systems, altering the strategic balance. Anthropic contends that maintaining a decisive U.S. lead is essential for shaping safe AI development and governance. The core recommendation is for U.S. policymakers to urgently close compute and model access loopholes while promoting global adoption of the U.S. AI technology stack to secure a lasting strategic advantage.

marsbit2 h fa

Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

marsbit2 h fa

Trading

Spot
Futures
活动图片