# Пов'язані статті щодо Industry Cycle

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Industry Cycle", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Has the Crypto Utopia Collapsed? The Industry Reaches an Inflection Point After the Frenzy Subsides

Has the crypto utopia collapsed? The industry is at an inflection point as the hype fades. The prevailing view is that crypto has become an outlet for excess liquidity, with many participants leaving as financial returns have fallen short of past-decade expectations. The 2021 boom has been revealed as an illusion, placing the industry in the "trough of disillusionment" on Gartner's Hype Cycle. This forces a return to first principles: re-evaluating token value, securing DeFi protocols, and finding real-world applications. The core failure is a repetitive cycle of reflexive speculation, driven by the premature liquidity of tokens. The industry's incentives prioritized short-term gains over genuine innovation. While curiosity drives invention, recent DeFi hacks signal a need for engineering and iteration, including token models. The culture is shifting; the industry is no longer in its early stages. Positioned at a turning point on the technology adoption curve, crypto faces the immense challenge of rebuilding finance from scratch, a process of inevitable iteration and failure. Regarding crypto VC, claims of its death are overstated. The exceptional returns of 2016-2021 were an anomaly. The initial crypto-anarchist ethos has largely been co-opted by Wall Street and regulators. The utopian vision is over; the industry is being assimilated into the existing system, becoming a business. Current viable project categories include stablecoins, prediction markets, tokenized assets/RWA, perpetual contracts, and AI/agent integration. Crypto is converging with fintech, far from the envisioned DeFi revolution, and must find killer apps within regulatory boundaries. A reconciliation is possible: cryptocurrency may change value storage and transfer in subtle, imperceptible ways that integrate into existing systems, rather than through revolutionary fanfare. True creativity often emerges from adversity. There remains much to build for those driven by genuine curiosity.

marsbit07/28 10:51

Has the Crypto Utopia Collapsed? The Industry Reaches an Inflection Point After the Frenzy Subsides

marsbit07/28 10:51

Trillion-Won Bet on Semiconductors: Is South Korea Really Panicking This Time?

**Summary:** South Korea, traditionally adept at "counter-cyclical" investments during industry downturns, has launched an unprecedented trillion-dollar (approximately 6.4 trillion RMB) semiconductor investment plan during a current AI-driven boom. This shift signals deep strategic anxiety, driven by the rapid rise of China's memory chip challengers. The article traces this dynamic through the history of East Asian semiconductor competition. In the 1980s, Japan used a "national system + industrial capital" model to surpass the US in DRAM, only to be overtaken in the 1990s by South Korea employing the same aggressive, efficiency-focused tactics—most notably massive, loss-tolerant investments during downturns to crush competitors like Japan's Elpida. Now, China's memory giants, Yangtze Memory (YMTC) and ChangXin Memory Technologies (CXMT), are employing a strikingly similar playbook. Starting from near-zero a decade ago, they've used a combination of government-backed capital, strategic technology acquisition (e.g., CXMT leveraging Qimonda's legacy), and innovative architectural leaps (e.g., YMTC's Xtacking) to achieve rapid technological catch-up. Crucially, during the severe industry downturn of 2023, while Korean and US giants cut production, the Chinese firms expanded capacity and competed on price, rapidly gaining global market share (reaching ~11% in NAND and ~7.67% in DRAM by 2025). South Korea's current massive investment, therefore, is a defensive move born of fear. The historical pattern suggests that once a technological gap closes, scale and integrated supply chain advantages—areas where China holds significant potential—can determine the leader. Having used counter-cyclical strategies to become the incumbent, South Korea now faces the prospect of a formidable challenger using those very same tactics. This investment marks not just a bet on the AI cycle, but the opening chapter in a new battle for dominance in the memory industry.

marsbit07/02 07:26

Trillion-Won Bet on Semiconductors: Is South Korea Really Panicking This Time?

marsbit07/02 07:26

The Storage Magnate Who Conquered a Trillion-Dollar Kingdom, Yet Ultimately Could Not Become the Richest

**Summary:** "The Memory Magnate Who Built a Trillion-Dollar Empire, Yet Never Became the Richest" explores the journey of Zhu Yiming, founder of GigaDevice (603986) and co-founder of the soon-to-IPO ChangXin Memory Technologies (CXMT). The article positions GigaDevice, a fabless chip designer now valued at ~¥340 billion, as a prequel to the massive IDM (Integrated Device Manufacturer) venture, CXMT. Starting in 2005 with minimal capital, Zhu strategically "picked up the pieces" by focusing on niche markets like NOR Flash and microcontrollers (MCUs), areas major players were exiting. This allowed GigaDevice to grow into a diversified semiconductor company, maintaining robust profitability even during industry downturns by controlling costs. However, the piece argues that in the highly cyclical and capital-intensive memory chip industry, the fabless model has limits. True resilience and scale require the ability for "counter-cyclical expansion" – investing heavily during downturns – a tactic only possible for IDMs like Samsung or SK Hynix. This insight led Zhu to partner with the Hefei city government in 2016 to establish CXMT, an IDM focused on DRAM. Zhu's symbolic moves, like forfeiting salary and diluting his equity, were crucial in securing the massive state and bank funding needed. CXMT's equipment base is now valued even higher than that of BYD's vast auto manufacturing empire. Despite the potential for CXMT to reach a market cap of ¥1-2 trillion upon its IPO, Zhu's indirect stake in both companies is estimated below 3%, placing his personal wealth far below that of China's top billionaires. The article concludes that his strategic vision built a trillion-yuan memory landscape, but the capital structure necessary to achieve it precluded a personal fortune of similar scale.

marsbit06/15 00:01

The Storage Magnate Who Conquered a Trillion-Dollar Kingdom, Yet Ultimately Could Not Become the Richest

marsbit06/15 00:01

6 Questions to Understand the Business Trends of AI

The AI industry has entered its "summer" phase, according to a six-dimensional scoring framework assessing its development cycle. Each dimension—narrative vs. delivery, system connectivity, delivery capability, ROI rationalization, common industry trends, and capital environment—scores 1 point, totaling 6 points. This places the industry firmly in summer (5-7 points), characterized by a coexistence of grand promises and tangible deliverables, with increasing pressure to demonstrate value and profitability. Key signals mark this shift. ByteDance's Doubao launched paid subscriptions, while OpenAI introduced an advertising platform. These moves are driven by dual forces: immense cost pressures from scaling user bases and massive compute requirements, and the maturation of commercial opportunities. Major players like Anthropic report explosive growth, highlighting AI's transition into core productivity infrastructure. For businesses, the path forward involves three strategic steps. First, identify a small, high-impact use case to quickly demonstrate a closed-loop value proposition, such as automating customer service or content generation. Second, systematically replicate successful pilots across the organization by standardizing processes, building shared AI capabilities, and aligning talent, incentives, and leadership. Finally, move beyond simply adding AI to existing workflows and undertake systemic reconstruction—redesigning processes for parallel AI-human collaboration, implementing real-time dashboards, and establishing automated trigger chains. The era where storytelling alone secured funding is over. The focus has shifted to delivering measurable efficiency gains, cost savings, and new revenue streams, as evidenced by real-world implementations in companies like Semir, Anta, and Midea. Success now depends on starting with a focused proof point, scaling it organization-wide, and ultimately allowing AI to redefine operational paradigms.

marsbit05/31 00:21

6 Questions to Understand the Business Trends of AI