South Korea Reaps Riches, America Turns Hostile

marsbitPublished on 2026-06-30Last updated on 2026-06-30

Abstract

The US has filed a collective antitrust lawsuit in California against Samsung, SK Hynix, and US-based Micron, alleging they colluded to create a "RAMpocalypse" by slashing traditional DRAM production and raising prices 700% over four years amid the AI boom. This lawsuit targets the heart of the AI supply chain: High Bandwidth Memory (HBM), critical for Nvidia's GPUs. Currently, SK Hynix (57%), Samsung (22%), and Micron (21%) dominate global HBM production. The case highlights a deeper US concern: in the AI era, South Korea, through its HBM dominance, is capturing an estimated 35% of global AI profits, second only to the US (49%). SK Hynix's operating profit margin recently hit a record 72%. In response to the lawsuit, South Korea announced a massive $800 trillion won investment to build four new chip plants, doubling down on its strategic position. Analysts see the lawsuit not merely as a consumer price issue but as strategic pressure. It aims to support Micron's US manufacturing expansion (subsidized by the CHIPS Act) and secure America's share of AI profits by bringing more HBM production onshore. However, South Korea's rapid execution and massive cash flow from current HBM sales give it a significant speed advantage over US build-out timelines. The conflict underscores a fundamental shift: AI infrastructure like GPUs and HBM is becoming a new form of strategic national resource, akin to oil. While Nvidia and Korean memory giants are interdependent, the struggle over pro...

By|Beyond the Headlines, Authors | Banjun, Huahua

America has finally made a move against South Korea.

This time, it’s not about cars, steel, or tariffs.

It’s about memory chips.

On June 25th, Samsung and SK Hynix were hit with a class-action lawsuit in a California federal court. Sharing the defendant’s bench with them was Micron, an American company.

Not even sparing its own.

The accusation is collusion to create a "RAMpocalypse." The three companies are alleged to have slashed traditional DRAM production capacity under the guise of AI transformation, driving up memory prices by 700% over four years.

Four days later, South Korea’s response arrived. Jin Jung-gwan, South Korea’s Minister of Trade, Industry and Energy, announced an investment of 800 trillion won: four new wafer fabs, all-in on memory for the next fifteen years.

America takes action on one side; South Korea doubles down on the other.

This is no ordinary antitrust case. The first true resource war of the AI era has begun.

1. South Korea Steps into the AI Profit Center

Let's look at some core numbers.

The global AI net profit pool in 2026 is estimated at around $637 billion. According to Altimeter’s calculations, the profit distribution looks like this:

The US takes 49%, roughly $314 billion. The core is Nvidia, single-handedly capturing $207 billion.

South Korea takes 35%, roughly $223 billion. Samsung and SK Hynix together account for $222 billion.

The US and South Korea combined account for 84% of global AI profits. All other countries share the remaining 16%.

The global AI business today is essentially a profit split between two countries: the US and South Korea. Nvidia takes the largest slice, the Korean duo takes the second largest. All other nations combined get less than 20%.

South Korea’s 35% profit comes from an incredibly concentrated source: HBM (High Bandwidth Memory).

For high-bandwidth memory, there are only three global giants capable of mass production. SK Hynix holds 57%, Samsung 22%, and Micron 21%.

Nvidia is the GPU king. But GPUs need HBM to function. An H200 requires 141GB of HBM, a B200 requires 192GB. Each GPU needs 6 to 8 HBM chips. Without HBM, a GPU just spins its wheels.

In other words, in the AI era, the hardware bottleneck isn’t GPU computing power, but memory bandwidth.

This creates a supply chain dynamic: the better Nvidia sells, the more money South Korea makes. The faster Nvidia expands production, the greater South Korea’s demand.

Every time GPT is trained, South Korea profits. Every time an Agent is deployed, South Korea profits. Every time a new AI data center is built, South Korea still profits.

How much exactly? SK Hynix’s operating profit margin in Q1 2026 was 72%, surpassing Nvidia’s 65% and TSMC’s 58%, setting a new global record for the semiconductor industry.

Net profit of 40 trillion won in a single quarter. Over 2 billion RMB net profit per day.

From July 2025 to April 2026, over nine months, South Korea added 100 companies with market caps exceeding one trillion won. It took South Korea 10 years to achieve the same growth previously. (Extended reading: Nine Months, South Korea Adds 100 Trillion-Won Companies)

The total market capitalization of the South Korean stock market has more than doubled, surpassing $5 trillion, overtaking India to become the world’s sixth-largest stock market. The KOSPI index has risen 70% this year, breaking 7,000 points.

South Korean household paper wealth has increased by over 1,000 trillion won, approaching 40% of annual GDP. A nationwide stock-buying frenzy has seen many citizens invest in Samsung and SK Hynix, doubling their paper assets.

South Korea is experiencing a national-level wealth creation movement driven by AI chips.

2. Why America is Turning Hostile

Back to that lawsuit.

On the surface, it’s consumer advocacy. DRAM prices rose 700%, consumers couldn’t take it anymore, and sued the manufacturers for monopoly.

But look closely, there’s a detail.

The defendants aren’t just Samsung and SK; Micron is on the defendant's bench too.

American consumers are suing their own country’s chip company along with the Korean ones.

Why?

Because America’s real worry isn’t a single company, or even the price itself.

It’s a bigger issue: AI is turning memory into the new oil.

For the past two decades, the US has firmly controlled key positions in the semiconductor supply chain: CPUs, GPUs, EDA, operating systems, software ecosystems.

Today, it suddenly finds that a critical layer of AI infrastructure is held by South Korea.

Samsung and SK Hynix have "previous convictions." In 2005, the two companies pleaded guilty in the US for DRAM price-fixing, paying a combined $731 million in fines, with several executives serving prison sentences.

The lawsuit specifically dredges up this history, attempting to establish a pattern of "systematic collusion."

And Micron? Micron wasn’t charged in that case. This time it’s listed as a co-defendant, but it’s an American company, has factories in the US, receives federal CHIPS Act subsidies, and is building new fabs in Idaho and New York.

Look at this situation.

On one hand, the US government is pouring money into Micron for domestic fab construction—a $50 billion domestic investment plan, $6.1 billion in federal subsidies. The Trump administration is even considering converting subsidies into equity investments, taking direct stakes as it did with Intel. Trump publicly praised Micron at rallies.

On the other hand, consumers are suing Micron along with the two Korean companies.

Kill a thousand enemies, lose three hundred of your own. But America did it anyway.

The reason is, what truly rankles America is that South Korea, with just two companies, is taking 35% of the global AI industry’s profits. And American consumers and businesses are footing the bill.

3. The Memory Price Surge Isn't Just Collusion

First, let’s be clear about one fact: memory prices are experiencing a strong cyclical upswing, and it won’t stop in the short term.

American financial group Jefferies predicts memory prices will rise another 40% to 50% quarter-on-quarter in Q3 2026, and another 30% to 40% in Q4. For the full year 2027, a year-on-year increase of 40% to 45% is expected. A significant slowdown might not occur until 2028 at the earliest.

But who caused this price surge?

The lawsuit says it’s collusion by three manufacturers. But what’s really happening is more complex than the complaint suggests.

In the past, how much DDR memory versus HBM a fab produced was balanced based on market demand. If DDR demand was high, more DDR was made.

AI has disrupted that balance.

HBM chips occupy twice the wafer area of regular DDR chips. In 2026, HBM is expected to account for 25% of global DRAM wafer capacity, with demand growing 70% annually. Global total capacity is only growing 14%, with traditional DRAM allocation growing a mere 10%.

Global large model companies are frantically expanding data centers. Nvidia’s GPUs are selling at capacity limits, with each GPU requiring massive amounts of HBM. The three manufacturers shifting capacity to HBM is commercial rationality—HBM offers 72% margins, while regular DRAM might be 20% to 30%.

Faced with that profit gap, any enterprise would choose to pivot to HBM.

The problem is, the three of them combined control over 95% of the global DRAM market. When all three make the same decision simultaneously, even if they never sat in a conference room to discuss it, the effect is indistinguishable from collusion.

This is a structural issue of an oligopolistic market.

The result is: the more AI flourishes, the higher the cost for ordinary computers, phones, and servers. Apple is merely the first to hand this bill to consumers; it won’t be the last.

And American consumers don’t care about all that. They just know a DDR5 memory stick that cost $200 four years ago now costs $1,400.

4. The Lawsuit is Just the Surface

If you only look at the surface, this is an antitrust lawsuit. It might involve fines, settlements, or drag on for years.

But in the broader picture, this lawsuit’s function is to apply pressure.

America’s real demand is clear: memory manufacturing must be reshored.

Micron received $6.1 billion in CHIPS Act subsidies, aiming to invest $50 billion domestically in the US by 2030, achieving 40% domestic DRAM production capacity.

The logic is straightforward: 35% of global AI profits flow to South Korea because HBM manufacturing capability is there. If Micron can capture more share, those profits return to America.

A single lawsuit, triple effect:

First, apply legal and public pressure on Korean companies, increasing their operational costs in the US market.

Second, buy time for Micron. Micron’s New York fab is already delayed, pushed from 2028 to 2030 for production. Micron needs time to catch up. A lawsuit tying up competitors helps itself.

Third, reinforce the national security narrative. If the court finds Korean companies guilty of price manipulation, subsequent policy interventions in the memory chip supply chain gain legitimacy.

Plainly speaking, America insists on pushing the lawsuit because the long-term gains outweigh the short-term losses.

5. South Korea Doubles Down Instead

After the American antitrust lawsuit, South Korea offered no explanations. It directly responded with a national-level industrial investment plan.

South Korea’s official announcement of a trillion-dollar semiconductor investment on June 29th is essentially doubling down on the construction of the Yongin Semiconductor Mega Cluster. This isn’t just building a few fabs; it’s about concentrating the entire HBM chain—from design, materials, packaging to mass production—within the same region.

This highly integrated supply chain can shorten R&D iteration cycles, creating generational advantages over new, geographically dispersed overseas capacities.

Financially, the two semiconductor giants’ total investment plan exceeding a trillion dollars is backed by robust cash flow.

South Korea’s logic is clear: You file a lawsuit, I expand production. You try to tie me down with law, I outpace you with scale.

Moreover, South Korea has an advantage America cannot replicate: speed.

SK Hynix’s profit margin is 72%. Samsung’s operating profit in Q1 2016 was 57 trillion won. They have ample cash flow to support expansion without waiting for government subsidy processes.

Micron’s New York fab won’t be operational until 2030. South Korea’s new fabs could start shipping by 2028.

This time gap is South Korea’s moat.

Minister Jin Jung-gwan said one thing: the global memory chip market size will grow to four times its current size in the next five years. South Korea’s assessment is that market growth is far faster than America’s catch-up speed. As long as AI demand continues to explode, South Korea’s production lead will continue to widen.

6. Symbiosis or Conflict?

From a longer perspective.

In the past, the world competed over who had more users.

Today, the world is beginning to compete over who possesses more capacity to produce intelligence. GPUs, HBM, electricity, data centers—these things once hidden in server rooms are becoming new national-level strategic resources.

Nvidia is the biggest winner of the AI era. No one disputes that.

But SK Hynix and Samsung are upstream from Nvidia. Every Nvidia GPU requires 6 to 8 HBM chips. Without HBM, the GPU is a piece of useless silicon.

This is a dependency America cannot unilaterally sever. Nvidia cannot avoid using Korean HBM; Micron only has a 21% share, and its capacity is still under construction. At least until 2028, Nvidia’s reliance on the Korean supply chain won’t fundamentally change.

America’s dilemma is that it nurtured Nvidia, but Nvidia’s supply chain delivers the largest slice of profit to South Korea.

GPU profits go to America. HBM profits go to South Korea. Together, they devour 84% of global AI profits. AI has, for the first time, placed a country of less than 52 million people on the second tier of the global tech profit chain.

Symbiosis, because they need each other. Nvidia needs HBM; South Korea needs Nvidia’s orders.

Tension, because profit distribution is never static. When scale is large enough, the distribution method itself sparks conflict.

Today’s lawsuit is just the first public expression of this tension.

So America suing Samsung and SK today isn’t just about price. South Korea’s frantic fab-building isn’t just about making money.

They’re not fighting over chips, but over their position in the next generation of the world’s industrial system.

Words from 【Beyond the Headlines】:

I checked the outcome of that 2005 DRAM price-fixing case.

Samsung pleaded guilty, fined $300 million. SK Hynix pleaded guilty, fined $185 million. Including Elpida (a Japanese memory company), total fines reached $731 million. Several executives went to prison.

Twenty years ago, America sued Korean chip companies because memory was hurting Dell and HP’s procurement costs. That was a PC-era story.

Today, America is suing Korean chip companies because the HBM shift is pulling the global AI profit center towards Seoul.

The case is the same, but the era is not. Last time it was a trade dispute; this time it’s industrial sovereignty competition.

I don’t know how this lawsuit will be categorized looking back five years from now. But I have one judgment:

It might be the first landmark event in the resource competition of the AI era.

GPUs, HBM, electricity, data centers—these things are becoming the oil, steel, and railways of the new era.

And we all know the stories of oil, steel, and railways. Every time, they eventually become matters of the state.

This time will be no exception.

Trending Cryptos

Related Questions

QWhat is the core reason behind the US lawsuit against Samsung, SK Hynix, and Micron regarding DRAM prices?

AThe lawsuit accuses the three companies of colluding to create a 'RAMpocalypse' by cutting traditional DRAM production capacity under the guise of transitioning to AI, thereby raising memory prices by 700% over four years. However, the deeper concern for the US is the shift in the AI profit center, where South Korea, through its dominance in HBM (High Bandwidth Memory) production, is capturing 35% of global AI profits, challenging US control over critical semiconductor infrastructure.

QHow is South Korea positioned in the global AI profit landscape according to the article?

ASouth Korea captures approximately 35% of global AI profits, amounting to about $223 billion, primarily through Samsung and SK Hynix's dominance in HBM production. This positions South Korea as the second-largest profit-taker after the US (which takes 49%, largely via Nvidia). The two Korean companies' combined profits from HBM are nearly equivalent to the entire Korean share of the AI profit pool.

QWhat strategic response did South Korea announce following the US antitrust lawsuit?

AIn response to the lawsuit, South Korea's Minister of Trade, Industry and Energy announced a massive investment plan of 800 trillion won over the next fifteen years to build four new wafer fabrication plants. This 'all-in' bet on memory semiconductors, particularly focused on the Yongin semiconductor supercluster, aims to consolidate the entire HBM supply chain from design to mass production within one region to secure and extend its technological and scale advantages.

QWhy does the article compare the current situation to a 'resource war' in the AI era?

AThe article compares it to a resource war because critical components like GPUs, HBM, power, and data centers are becoming the new strategic national resources, akin to oil, steel, and railways in past industrial eras. The competition is no longer just about market share but about controlling the foundational infrastructure that produces AI capabilities, with profit distribution and technological sovereignty at stake between major powers like the US and South Korea.

QWhat is the paradoxical relationship between Nvidia and the Korean memory chip giants described in the article?

AThe relationship is described as symbiotic yet tense. It is symbiotic because Nvidia's GPUs are dependent on HBM from Samsung and SK Hynix to function, and the Korean companies rely on Nvidia's massive orders. However, tension arises from the profit distribution. While Nvidia is the biggest winner in AI, a significant portion (35%) of the industry's profits flows to its Korean suppliers. This creates a dependency the US is uncomfortable with, leading to conflicts like the lawsuit, which is seen as an attempt to rebalance control and bring more manufacturing back to the US.

Related Reads

US CFTC Launches Broad Investigation into Polymarket, Is the Prediction Market Party Coming to an End?

The U.S. Commodity Futures Trading Commission (CFTC) is conducting a broad investigation into the prediction market platform Polymarket, focusing on its business practices including social media promotions. This follows a bipartisan letter from U.S. senators urging the CFTC to probe alleged fraudulent marketing tactics used to promote gambling-like products. The action coincides with a period of explosive growth for the prediction market sector, driven by events like the World Cup, with platforms like Kalshi and Robinhood reporting record trading volumes and revenue. The investigation signals a potential end to the sector's unregulated expansion and may lead to clearer federal oversight, particularly regarding investor protection and distinguishing prediction markets from traditional sports betting. The CFTC's move has also intensified a jurisdictional conflict with multiple U.S. states (including Kentucky and New York), which have sued platforms like Polymarket and Kalshi, accusing them of operating illegal sports betting and threatening state gambling tax revenues. Furthermore, the CME Group has sued the CFTC, challenging its approval of certain prediction market products. The report also highlights the political and capital interests intertwined with the industry. Donald Trump Jr. holds advisory and investment roles in both Kalshi and Polymarket, and the Trump administration has previously emphasized federal regulatory authority over these markets. The CFTC's investigation into Polymarket is framed as a step towards formalizing the industry's regulatory landscape, moving it from a phase of "wild growth" towards a more structured future.

marsbit42m ago

US CFTC Launches Broad Investigation into Polymarket, Is the Prediction Market Party Coming to an End?

marsbit42m ago

U.S. CFTC Launches Extensive Investigation into Polymarket, Is the Prediction Market Frenzy Season Cooling Down?

The U.S. Commodity Futures Trading Commission (CFTC) has launched a broad investigation into the prediction market platform Polymarket, focusing on its business practices including social media activities. This follows a bipartisan letter from U.S. senators urging the CFTC to probe allegations of paid influencer false marketing and fraudulent promotion of gambling-like products to American users. The investigation comes as the prediction market sector experiences explosive growth, largely driven by the World Cup. Weekly trading volumes have hit record highs, exceeding $14.4 billion, with platforms like Kalshi and Robinhood's new venture seeing significant activity. Major firms like Meta are also showing interest in the space. This regulatory scrutiny signals a potential end to the sector's "wild growth" phase. The CFTC's move also highlights an escalating jurisdictional conflict between federal regulators and state authorities. Over a dozen states, including Kentucky and New York, have sued platforms like Polymarket and Kalshi, accusing them of operating illegal sports betting, which threatens state gambling tax revenues. The CFTC is countersuing to assert its exclusive federal jurisdiction over these "event contracts" as derivatives. Furthermore, the CFTC's approval of Kalshi's Bitcoin perpetual futures contract has sparked a lawsuit from traditional exchange CME, alleging regulatory overreach. The political and capital landscape is intricate, with Donald Trump Jr. holding advisory roles and investments in both Kalshi and Polymarket. This connects capital, political influence, and regulatory bodies, suggesting the current investigation may be a step toward formalizing the industry's rules rather than halting its progress.

Odaily星球日报45m ago

U.S. CFTC Launches Extensive Investigation into Polymarket, Is the Prediction Market Frenzy Season Cooling Down?

Odaily星球日报45m ago

Trading

Spot

Hot Articles

What is DOGE M

Doge Matrix ($doge m): The New Breed of Community-Driven Cryptocurrency Introduction In the ever-evolving landscape of cryptocurrency, new projects constantly emerge, each aiming to capture the interest of investors and enthusiasts alike. One of the latest entrants to this domain is Doge Matrix, represented by the ticker symbol $doge m. This project has attracted attention thanks to its roots in the popular meme culture surrounding Dogecoin, establishing its place within the web3 space. This article aims to provide a comprehensive analysis of Doge Matrix, covering its overview, creator, investors, functionality, timeline, and notable aspects. What is Doge Matrix ($doge m)? Doge Matrix is a community-driven cryptocurrency project that seemingly builds upon the widespread appeal of Dogecoin, a digital currency known for its Shiba Inu mascot and its meme origins. While the overarching objectives of Doge Matrix are not extensively defined, it is characterized by a commitment to harnessing community involvement and support. Unlike traditional cryptocurrencies that often emphasize utility or intrinsic value through underlying technologies, Doge Matrix positions itself within a space that embraces the cultural phenomenon of cryptocurrencies, particularly appealing to those who resonate with the ethos of meme-based assets. Drawing on the strengths of the Dogecoin community, Doge Matrix operates as part of a broader ecosystem, inviting participation and engagement from users who share an interest in cryptocurrency and the digital landscape. Who is the Creator of Doge Matrix ($doge m)? The identity of the creator of Doge Matrix remains unknown. This lack of transparency is not an uncommon occurrence in the cryptocurrency space, where some projects are launched without revealing the identities of their founders. The absence of information regarding the founding team can raise questions among potential investors about the project’s accountability and direction. Who are the Investors of Doge Matrix ($doge m)? As it stands, there is no publicly available information detailing the investors or investment foundations that back Doge Matrix. The project appears to rely primarily on community support rather than institutional investment. This model aligns with the community-driven nature of the initiative, fostering an environment where the direction of the project is shaped by its participants rather than being dictated by a select few financial backers. How Does Doge Matrix ($doge m) Work? The specifics regarding the operational mechanisms of Doge Matrix are somewhat vague, reflecting a broader trend of projects in the meme coin space where innovative functionalities are not always clearly articulated. Nonetheless, Doge Matrix seems designed to tap into the existing cryptocurrency ecosystem by encouraging user participation while tapping into the familiar cultural references associated with Dogecoin. Its potentially unique characteristics derive from community interactions rather than technological advancements, emphasizing shared experiences and collaboration among token holders. While the exact innovations have not been explicitly outlined, the project appears to create a space where community members can engage, share ideas, and propel the project's potential forward. Timeline of Doge Matrix ($doge m) Reflecting on the project’s timeline reveals notable events that have defined its journey thus far: November 25, 2024: Doge Matrix reached its all-time high value, marking a significant milestone in its early history. January 1, 2025: Conversely, Doge Matrix hit its all-time low value, illustrating the volatility often associated with cryptocurrencies, especially in the early stages of a project's lifecycle. Ongoing: The project continues to be actively traded and supported by its community, although specific future milestones or objectives have yet to be disclosed. Key Points About Doge Matrix ($doge m) Community Focus At the heart of Doge Matrix is a commitment to community engagement. The project thrives on the premise of collaboration and shared objectives among its members, emphasizing the importance of collective effort. Unlike centralized projects that often have a defined leadership structure, Doge Matrix at present showcases a more fluid approach to governance, where every community member's voice matters. Volatility The cryptocurrency market is notorious for its volatility, and Doge Matrix is no exception. Its price history reflects significant fluctuations between high and low values, which is typical of many new cryptocurrencies but underscores the risks associated with investment in emerging tokens. Lack of Detailed Information One of the most striking features about Doge Matrix is the scarcity of detailed information regarding its technological underpinnings and operational mechanisms. This ambiguity necessitates that potential investors conduct thorough due diligence before engaging with the project. Conclusion In summary, Doge Matrix ($doge m) illustrates a new wave of cryptocurrency projects that lean heavily on community engagement and cultural relevance. While lacking in certain specifics—such as clear leadership, defined objectives, and detailed functionality—the project has managed to generate interest within the crypto community, leveraging the established appeal of meme culture. As with any investment in the cryptocurrency space, understanding the inherent risks and conducting comprehensive research is essential for potential participants. Doge Matrix stands as a reminder of the dynamic, sometimes unpredictable nature of the crypto industry, marked by constant evolution and enthusiasm for community-driven initiatives.

3.9k Total ViewsPublished 2025.02.03Updated 2025.02.03

What is DOGE M

What is $M

Understanding Mantis ($M): A New Era in Cross-Chain Interoperability In the continually evolving landscape of Web3 and cryptocurrency, new projects strive to offer innovative solutions aimed at enhancing the user experience and expanding functional possibilities within the decentralized financial ecosystem. One such project garnering attention is Mantis ($M), a pioneering protocol founded on the principles of cross-chain interoperability and intent-based settlements. This article delves into the essential aspects of Mantis, including its core functionality, creators, investment backing, innovative features, and critical milestones. What is Mantis ($M)? Mantis is described as a multi-domain intent settlement protocol that simplifies cross-chain interactions, enabling users to execute complex financial transactions across various blockchain platforms seamlessly. The protocol operates through three primary layers: Intent Expression: Users can articulate their transaction goals using natural language facilitated by the DISE LLM, an advanced AI language model. For instance, a user might express a desire to swap Ethereum (ETH) for Solana (SOL) with a specific slippage tolerance of 1%. Execution: This layer employs a network of solvers that compete to fulfill user intents. Transactions are executed using mechanisms such as Coincidence of Wants (CoWs) and Order Flow Auctions (OFAs), which ensure that user demands are met optimally. Settlement: Leveraging the Inter-Blockchain Communication (IBC) protocol, Mantis enables atomic cross-chain transactions, allowing users to operate across various supported chains, including Ethereum, Solana, and Cosmos. Mantis is engineered to introduce native yield generation for idle assets, employing cryptographic proofs to maintain the integrity of transactions throughout the entire process. Creators & Development Team Mantis was conceived by the Composable Foundation, a research-driven organization notable for its emphasis on blockchain interoperability solutions. This foundation collaborates with esteemed academic institutions, including Harvard University and the University of Lisbon, contributing to extensive research and development efforts that inform Mantis's architecture and functionality. The Composable Foundation’s commitment to fostering innovation in the blockchain space positions Mantis as a robust solution for the growing demand for interoperability among multiple blockchain networks. Investors & Backing While specific details about individual investors have not been publicly disclosed, Mantis enjoys substantial backing from various entities, including: Ecosystem grants from IBC-enabled chains, which support the protocol's growth and integration within decentralized finance ecosystems. Strategic partnerships with infrastructure providers that enhance Mantis's network capabilities and deployment strategies. Funding through the Composable Foundation's treasury, ensuring sustained financial support for ongoing development and operational costs. These collaborative efforts reflect a consensus among stakeholders about the importance of enhancing cross-chain functionality and the potential utility of Mantis's infrastructural innovations. Key Innovations Mantis sets itself apart through several pioneering innovations that enhance its functionality and utility: Chain-Agnostic Intents: Users can initiate transactions from any supported chain while settling on another. This flexibility empowers users, driving increased interaction among different platforms. AI-Powered Interface: The integration of DISE LLM allows users to conduct complex DeFi operations using natural language, thereby simplifying interactions and making blockchain technology accessible to a broader audience. Cross-Domain MEV Capture: Mantis creates an internal market for maximal extractable value (MEV) through competitions among solvers. This innovative approach allows for greater efficiency and value extraction in complex transactions. Modular Settlement Layer: The protocol supports various verification methods, including zero-knowledge proofs and optimistic rollups, providing a versatile framework that can adapt to emerging blockchain technologies. Historical Timeline Mantis's development is marked by several critical milestones that chart its trajectory and growth: | Year | Milestone | |————|————————————————————————-| | 2022 | Initial concept development within the Composable Foundation's research division. | | Q3 2024 | Launch of the testnet with bridging capabilities between Solana and Ethereum. | | Q1 2025 | Anticipated Token Generation Event (TGE) alongside the mainnet launch. | | Q2 2025 | Expected integration of DISE LLM and expansion of cross-chain capabilities. | | 2025 H2 | Planned support for over 15 chains through further IBC upgrades. | This timeline outlines Mantis's evolution, from conceptual discussions to active implementation and future growth phases. Ecosystem Growth Strategy Mantis's strategy for ecosystem growth includes several initiatives designed to encourage user participation and developer engagement: Credits System: Users can earn protocol credits by providing liquidity and engaging in referral programs. These credits are redeemable for incentives in the future, fostering a robust user community. Modular Software Development Kit (SDK): This toolkit empowers developers to create applications based on intent-driven models utilizing Mantis's infrastructure, thus promoting innovation within its ecosystem. Governance Model: As the protocol matures, $M token holders will have a voice in protocol governance, allowing them to vote on proposed upgrades and changes, thereby enhancing community engagement and decentralization. Mantis represents a significant advancement in the realm of cross-chain architecture. By seamlessly integrating advanced AI algorithms with a robust settlement framework, Mantis seeks to tackle the problems of fragmentation within multi-chain ecosystems. Its innovative approach prioritizes improved user experiences while adhering to the foundational principles of decentralization and security, setting a new standard for the future interoperability of blockchain technologies. As Mantis continues its journey of growth and implementation, it promises to be a project to watch closely in the competitive landscape of Web3 and decentralized finance. With its focus on crossing boundaries and elevating user engagement, Mantis is poised to be an integral part of the future developments in the cryptocurrency space.

323 Total ViewsPublished 2025.03.18Updated 2025.03.18

What is $M

How to Buy M

Welcome to HTX.com! We've made purchasing MemeCore (M) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy MemeCore (M) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your MemeCore (M)After purchasing your MemeCore (M), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade MemeCore (M)Easily trade MemeCore (M) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

7.5k Total ViewsPublished 2025.07.02Updated 2026.06.02

How to Buy M

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of M (M) are presented below.

活动图片