Crypto and AI Need Female Executives

比推Опубліковано о 2026-01-21Востаннє оновлено о 2026-01-21

Анотація

The article "Crypto and AI Need Female Executives" highlights the rising prominence of women in leadership roles within the AI industry and draws parallels to their earlier influence in the crypto sector. It cites examples such as CZ Chen, COO of Manus (acquired by Meta), and MiniMax’s 31-year-old COO Yun Yeyi, who played a crucial role in the company’s IPO and commercial strategy. Globally, figures like Daniela Amodei of Anthropic, Lila Ibrahim of DeepMind, and Mira Murati of Thinking Machines Lab further illustrate this trend. The author notes that both crypto and AI are highly technical fields often led by founders strong in engineering but weaker in communication, marketing, and public relations—areas where female executives excel. Women like Binance’s He Yi and Matrixport’s Cynthia Wu previously helped bridge the gap between complex technology and mass adoption in crypto. The piece argues that the presence of women in operational and marketing roles signals an industry’s shift from pure technological development to commercialization and mainstream acceptance. As AI continues to attract top female talent, crypto—now lacking in narrative-building and user-friendly leadership—risks being left behind. The movement of talented female executives toward AI, the author concludes, is a marker of the industry’s growing maturity and commercial viability.

Author: Alice, Deep Tide TechFlow

Original Title: Crypto and AI Need Female Executives


Recently, an interesting phenomenon has been observed in the AI industry: more and more female executives are stepping into the spotlight.

On December 30th, Meta announced it would acquire Manus for $2 billion, bringing 90s-born COO CZ Chen into the public eye. With an undergraduate degree from Shanghai University of Finance and Economics and a master's from Columbia University, she began her career in 2018, working at Vanke and FA institutions before making her final leap to Manus in 2024, achieving financial freedom.

On January 9th, at MiniMax's bell-ringing ceremony, standing alongside 36-year-old founder Yan Junjie was a 94-born woman, Yun Yeyi.

This 31-year-old COO now has a net worth of HKD 4.8 billion.

What is Yun Yeyi's background?

She studied electronic engineering at Johns Hopkins University, with minors in economics and mathematics. After graduating in 2017, she joined SenseTime, rising from financing manager to assistant to CEO Xu Li, and then to director of the new business department, witnessing SenseTime's journey from unicorn to Hong Kong listing.

In 2022, when Yan Junjie decided to leave SenseTime to found MiniMax, Yun Yeyi followed almost without hesitation.

Her value goes beyond just following.

MiniMax's prospectus shows that Yun Yeyi handles almost everything except technical R&D: products, commercialization, board matters, operations, management... Her annual salary is $1.479 million, more than all other executive directors combined, a figure that speaks for itself.

It's not just in China; globally, female influence in the AI circle is undeniable.

Daniela Amodei, with a background in English literature, worked at Stripe and OpenAI before co-founding Anthropic with her brother Dario in 2021. As president, she focuses on daily operations and commercialization, driving the marketization of Claude products.

Lila Ibrahim, former Intel executive, joined DeepMind in 2018 as its first COO, responsible for daily operations, partnerships, social impact, external affairs, and government relations.

Mira Murati, the Albanian-born former CTO of OpenAI, came to the U.S. on a scholarship at 16. From the Tesla Model X team to OpenAI, she eventually left to found Thinking Machines Lab, now valued at $9 billion...

This scene feels familiar.

From 2017 to 2021, the golden age of crypto was star-studded, with one bright spot being female CMOs and COOs.

The most well-known is undoubtedly Binance co-founder and CMO He Yi (now co-CEO). From Shanghai to Tokyo, then from Malta to Paris and Dubai, every strategic move involved her, helping the company become the world's largest cryptocurrency exchange.

Lisa Loud, from Apple engineer to PayPal's Canadian market head, jumped to BitMEX as CMO in 2017. BitMEX later became the world's largest crypto derivatives trading platform.

Cynthia Wu, COO of Matrixport, former vice president of product development at HKEX, brought traditional finance experience to crypto financial services, helping the company become one of Asia's largest digital asset service platforms.

......

Once, crypto was the world's asset focus, and the spotlight naturally fell on these female executives at the center stage.

But the tide receded, and the protagonists changed.

Now, AI is the focus of the spotlight, so we see Daniela Amodei on the Forbes rich list and Yun Yeyi radiant at MiniMax's listing ceremony.

Fundamentally, Crypto and AI are strikingly similar: "both cutting-edge and rustic."

Cutting-edge is reflected in the technology itself: blockchain reconstructs trust mechanisms, AI reconstructs productivity—both are underlying technologies that can change the world.

Rustic is reflected in the founder profile: mostly technical backgrounds, fluent in code but unfamiliar with marketing, especially government and public relations.

This is where female COOs/CMOs add value. They are the bridge between technical geniuses and the external world, capable of deep dialogue with technical teams and telling compelling stories to investors and users.

Daniela Amodei transformed AI safety philosophy into executable business strategies, helping Claude break through in the shadow of ChatGPT. Yun Yeyi brought MiniMax from the lab to the C-end market. He Yi long served as the chief customer officer, personally answering user questions and building trust.

When a product moves beyond the pure technical stage and increasingly targets the C-end, the advantages of female executives become more apparent.

After all, PR and products require not adversarial thinking but empathy.

From another perspective, capable female executives vote with their feet. They go where they can施展才华 and create value. If they start leaving an industry, it indicates the disappearance of commercial certainty.

The crypto industry's current problem is obvious: a lack of talent that can transform technology into products accepted by the masses. Mass adoption and positive externalities remain empty talk. Observing any emerging industry reveals this pattern: when female executives with technical understanding, business acumen, and narrative skills begin to rise, the industry truly shifts from technology-driven to commercialization and mass adoption.

Their emergence marks the true maturity of an industry.

The AI circle has already undergone this transition. Female executives like Daniela Amodei and Yun Yeyi are driving productization, bringing AI from lab algorithms into daily life and the business world.

As for the crypto industry, if it can't retain "elites who can speak human language," it deserves to remain stuck in the mud of PVP.

The flow of talent is the industry's weather vane.

Where they go, value is created; where they leave, bubbles often burst.


Original link:https://www.bitpush.news/articles/7604790

Трендові криптовалюти

Пов'язані питання

QWhat is the trend observed in the AI industry regarding female executives, as mentioned in the article?

AThe article notes an increasing trend of female executives taking prominent roles in the AI industry, such as COOs and CMOs, who are driving commercialization and productization of AI technologies.

QWho is Yun Yeyi, and what is her role at MiniMax?

AYun Yeyi is the 31-year-old COO of MiniMax, with a background in electronic engineering and economics from Johns Hopkins University. She handles almost all non-technical aspects of the company, including product, commercialization, board matters, operations, and management, with an annual salary of $1.479 million.

QHow does the article compare the roles of female executives in Crypto and AI industries?

AThe article highlights that both Crypto and AI industries benefit from female COOs and CMOs who act as bridges between technical teams and the external world. They excel in marketing, government relations, and storytelling, which are crucial for turning complex technologies into widely accepted products.

QWhat common characteristic do Crypto and AI share, according to the article?

ACrypto and AI are both described as 'cutting-edge yet rustic.' They are cutting-edge in terms of technology (blockchain redefining trust mechanisms and AI redefining productivity), but rustic in that founders are often technical experts who lack skills in marketing and external relations.

QWhat does the article suggest about the movement of talented female executives between industries?

AThe article suggests that the movement of talented female executives indicates where value is being created. Their presence signals industry maturity and successful commercialization, while their departure often points to fading commercial certainty and bubble bursts, as seen in Crypto's decline and AI's rise.

Пов'язані матеріали

Crypto Miners' Big AI Gamble: Valuations Enter Differentiation Stage, Comeback Fight Proves Tough

Crypto Mining Firms' AI Bet: Valuation Divergence and a Challenging Transformation Facing declining profitability in crypto mining, mining companies are pivoting to AI infrastructure, capitalizing on their existing power resources, land, and data center expertise to offer GPU compute power. This transition narrative has boosted their stock prices significantly, with firms like Hut 8 and Bitfarms seeing gains over 100% year-to-date, far outpacing Bitcoin. This has led to a market valuation split, with pioneers like CoreWeave reaching a $62.8B market cap, while others remain below $5B. The market currently prioritizes growth potential over short-term profits, which remain under pressure due to heavy capital expenditures for AI build-outs and crypto asset volatility. However, the transformation is a high-stakes gamble. Bitcoin mining profitability is shrinking, with the average production cost around $63,707 and miner margins contracting. While AI offers a more lucrative long-term path, it requires massive investment—estimated at a $500B near-term funding gap. Success now hinges on execution: delivering on contracted power capacity, securing quality tenants like major cloud providers, and managing the immense financial burden. The valuation focus is shifting from mere power capacity to project delivery, future cash flows, and tenant quality, making this a difficult but critical turnaround attempt.

链捕手11 хв тому

Crypto Miners' Big AI Gamble: Valuations Enter Differentiation Stage, Comeback Fight Proves Tough

链捕手11 хв тому

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

AI investor Leopold Aschenbrenner has made a significant portfolio shift, taking a $9 billion nominal short position against top AI infrastructure stocks like NVIDIA, ASML, and Oracle. Simultaneously, he is redirecting capital towards what he sees as the next critical bottlenecks in the AI boom: power, memory, and data center networking, alongside private investments in AI model companies like Anthropic. This move is interpreted not as a call that the AI bubble has burst, but as a rotation within the infrastructure stack. The analysis highlights NVIDIA's recent $25 billion bond issuance as a potential signal, questioning why a cash-rich company would seek external debt despite high profits and increased dividends/buybacks. The core investment thesis is that the initial, crowded "picks and shovels" trade in semiconductors is maturing. The next wave of capital is expected to flow into the physical and logistical constraints of AI expansion: electricity supply, memory chip capacity, data center construction, and enabling technologies like optical networking (fiber) for high-bandwidth communication, where copper remains crucial for short distances. Aschenbrenner's substantial (approx. 20% of fund) private stake in Anthropic is noted as a key part of his strategy—investing directly in the "mine" (AI models) rather than just the "shovels." The discussion concludes that while certain segments may be overvalued, the overarching AI infrastructure demand driven by real product usage remains robust. The most promising long-term investments are seen in essential, non-sexy infrastructure—particularly energy and power companies—whose demand is viewed as a global constant irrespective of AI's cyclicality.

marsbit32 хв тому

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

marsbit32 хв тому

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

The crypto market is currently in an adjustment phase driven by policy expectations and liquidity shifts. Despite a brief rebound fueled by geopolitical easing and SpaceX's strong IPO performance, unexpectedly hawkish signals from new Fed Chair Kevin Warsh have removed anticipated easing support. Concurrently, stablecoin liquidity is shrinking, with insufficient new capital inflows, pushing the market into a typically quiet summer period. Pricing lacks catalysts for a sustained rally. Daily trading volume has significantly contracted, stablecoin growth has slowed markedly, and the supportive effect of Strategy's (formerly MicroStrategy) STRC preferred stock-financed Bitcoin purchases is fading. Amid policy uncertainty, seasonal weakness, and liquidity contraction, Bitcoin faces near-term downward pressure. Warsh's hawkish pivot and refusal to provide a clear policy outlook have increased risk premiums, historically unfavorable for Bitcoin. Technically, the trend remains bearish below $73,700, with $62,446 as critical support. A break below could accelerate declines, though a prolonged consolidation phase, similar to 2022's bottoming process, is possible. Liquidity is a core constraint. Current daily volume is around $500 billion, roughly 25% of the peak during the July-Oct 2025 rally. The 12-month growth rates for USDT and USDC have fallen to ~20%, with 6-month growth near zero, indicating weak new inflows. Bitcoin ETF and Strategy-driven inflows have also weakened, with a 30-day rolling net outflow. With inflation at 4.2% above the Fed's target, combined hawkish policy, seasonal factors, and liquidity shortages challenge Bitcoin's ability to hold above $60,000. However, this adjustment phase may be forming a cyclical low this summer, potentially setting the stage for the next bull cycle.

marsbit1 год тому

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

marsbit1 год тому

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

Claude Code Usage Report Summary (Based on ~400k sessions) Core Finding: In agentic programming with Claude Code, a clear division of labor has emerged: humans primarily decide *what* to build (planning decisions), while Claude decides *how* to build it (execution decisions). Key Insights: 1. **Effectiveness is not limited to programmers.** In code-generation tasks, success rates for users in non-technical fields (law, finance, management, research) are nearing those of software engineers. What matters most is the user's domain expertise and understanding of the problem to be solved. 2. **Domain expertise drives success and efficiency.** Sessions where users exhibited "expert" proficiency in the task's domain saw verified success rates double compared to "novice" sessions. Experts also delegated more work per instruction, with Claude executing more actions and producing more output. 3. **AI is amplifying, not replacing, domain knowledge.** Claude Code lowers the *implementation* barrier, not the *judgment* barrier. The value of knowing the "what" and "why" is increasing relative to just knowing the "how" to code. 4. **Usage is evolving.** Over a 7-month period (Oct '25 - Apr '26), the share of sessions for debugging halved, while use for software operations, data analysis, and non-code writing roughly doubled. The estimated economic value of typical tasks increased by ~25%. Conclusion: The data suggests coding agents are making programming background less critical for completing technical tasks. However, they reward and amplify deep domain understanding. The ability to successfully direct an AI agent stems more from mastery of a specific field than from coding skill itself. The primary gains come from being competent in a domain; deep specialization adds only marginal additional advantage. This may signal a shift where software creation becomes integrated into various professions.

marsbit1 год тому

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

marsbit1 год тому

Торгівля

Спот
Ф'ючерси

Популярні статті

Як купити ALICE

Ласкаво просимо до HTX.com! Ми зробили покупку My Neighbor Alice (ALICE) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити My Neighbor Alice (ALICE).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої My Neighbor Alice (ALICE)Після придбання My Neighbor Alice (ALICE) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля My Neighbor Alice (ALICE)Легко торгуйте My Neighbor Alice (ALICE) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

129 переглядів усьогоОпубліковано 2024.12.11Оновлено 2026.06.02

Як купити ALICE

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни ALICE (ALICE).

活动图片