$RNDR Token Surges to a 2-Year High – But Can the Momentum Last?

$RNDR Token Surges to a 2-Year High – But Can the Momentum Last?

Peer-to-peer GPU computing network Render (RNDR) surged to a two-year high on February 23, fueled by optimism about the growing demand for generative artificial intelligence (genAI) and image-rendering services.

Over the last month, Render has gained over 100%, aided by two key developments that were instrumental in helping AI crypto coins like RNDR token outperform the rest of the market — chipmaker Nvidia’s record-breaking quarterly earnings and the launch of OpenAi’s text-to-video AI product Sora.

Are you interested in adding it to your portfolio and looking for an RNDR token price prediction?

In this article, we will analyze the RNDR token price performance and explain why the Render token is going up.

Key Takeaways

  • RNDR token price surged 480% from September 2023 to an over two-year high of $7.96 on February 23.
  • Nvidia’s record-breaking quarterly earnings and the launch of OpenAi’s text-to-video AI product Sora have helped AI cryptos rise.
  • Render’s integration with Apple’s RealityKit 2 has driven demand for its services.
  • RNDR’s 14-day relative strength index (RSI) stood over 87 points, indicating an overbought asset.

What Is Render (RNDR)?

In this section, we summarize the Render Network to help you decipher whether the Render token is a good investment for you.

Render is a decentralized marketplace for GPU computing power. The network provides near real-time computing power for 3D rendering tasks, AI and machine learning (ML) training, and complex computations.

Render was launched in 2009 by Jules Urbach, who is the founder and CEO of a Los Angeles-based cloud graphics company, OTOY. The Render Network team is backed by OTOY.

In October 2017, Render conducted its first token sale of the RNDR token. Render launched its mainnet on Ethereum (ETH) in April 2020.

In November 2023, Render successfully completed its migration from Ethereum to Solana (SOL).

A global investment firm VanEck stated in a report:

“Render, who recently migrated to Solana, was initially focused on connecting artists to decentralized groups that would provide GPU power to render images and videos. However, Render has begun to focus its decentralized GPU fleet on satisfying machine-learning workloads to support deep-learning models.”

How Does Render Work?

Rendering is the process of generating two-dimensional or three-dimensional images using a computer program. It is used to create images, videos, animations, simulations, visual effects, virtual reality, and video games. Rendering requires GPU or CPU computing power to process the images.

The Render Network allows GPU owners to loan out their computing power to creators and developers in need of it. In return, GPU service providers earn RNDR tokens for processing artists’ rendering needs. Creators have the option to pay for their rendering job in fiat or RNDR.

GPU providers need to build their reputation over time to receive higher job volumes by completing tasks in a timely and accurate manner. Render users also have reputation scores that help the network reduce unintentional congestion from failed renders or malicious activity.

Render charges a 5% network fee on all transactions, which is used to cover network operating costs.

Why Is Render Token Going Up?

Render has been on a tearing run since September 2023. RNDR token price has surged 480% from $1.372 on September 1, 2023, to an over two-year high of $7.96 hit on Feb. 23, 2024.

Tony Severino, a CMT candidate, technical analyst, and the author of the CoinChartist VIP newsletter, told Techopedia:

“RNDR is up over 20% on the heels of NVDA earnings, but could have a lot more upside ahead. RNDR’s current all-time high is $8.75 per token. Today, RNDR is trading at roughly $7.17 — only around 15% from the previous peak. Considering the strength in RNDR and growing demand for GPU processing power, new all-time highs are highly probable.”

Here are some key Render token news and reasons why the token has seen such strong price action.

Complex Rendering Jobs Boost Demand for Render’s GPU Computing Services 

2023 was a big year for Render as the GPU marketplace saw demand for its services spike due to growth in complex, large-scale displays, spatial rendering, and extended reality (XR) jobs.

In its Q4 2023 report, Render noted that Apple’s foray into the XR field with the Apple Vision Pro was a demand driver for intensive rendering jobs required for stereoscopic content, higher frames, better resolutions, and increased field of view.

The network also added that it carried out the first large-scale display and spatial rendering job for the Las Vegas Sphere during the quarter.

In a note to Techopedia, Anndy Lian, Intergovernmental Blockchain Expert, explained:

“The main reason why Render token has exploded is because of its AI and GPU/Nvidia’s narratives. The partnership with Apple also gives credibility and opens up a huge market opportunity for RNDR to showcase its technological edge over competitors.”

In 2023, Render saw the total number of frames rendered increase by nearly 14% year-on-year to 9,972,981 frames.

Meanwhile, the amount of total RNDR tokens used during the year reached 2.7 million tokens in 2023 compared to 1.85 million in 2022, leading to an increase of 850,494 RNDR used.

Nvidia’s Record Earnings Back AI Hype

On February 21, 2024, GPU chipmaker Nvidia said Q4 2023 revenue jumped 265% year-on-year to a record quarterly revenue of $22.1 billion on the back of demand surge for its chips. The optimism from Nvidia’s blockbuster earnings spilled over to the crypto markets, causing GPU computing tokens like RNDR and Akash (AKT) to surge as well.

Jensen Huang, founder and CEO of Nvidiasaid:

“Accelerated computing and generative AI have hit the tipping point. Demand is surging worldwide across companies, industries, and nations.”

More importantly, Nvidia signaled continued strong demand for its GPU chips in its outlook for the first three months of 2024.

The company expected quarterly revenue to rise to $24 billion, up from $22.1 billion posted in the last quarter of 2023.

Launch of OpenAI’s Text-to-Video Sora Signals Growing Demand for Rendering

OpenAI’s text-to-video generative AI model called Sora was unveiled on Feb. 15, 2024. Sora is capable of generating videos of a minute’s length with multiple characters, motion, details, and backgrounds. The complex nature of computing required to convert text-to-video and train AI models to improve their results is widely expected to increase the demand for computing resources.

It was not surprising to see AI cryptos surge on the news.

Some crypto projects, like the decentralized video infrastructure network Livepeer (LPT), even announced that it would bring Sora capabilities to its network in the coming months for users looking to create generative AI videos.

Livepeer tweeted:

Render Token Price Prediction 2024: Cautiously Bullish?

Anndy Lian believes that the RNDR token is a “promising project” with a clear vision and a strong value proposition.

“It is solving a real-world problem and creating a win-win situation for both creators and providers of rendering resources. It is also leveraging cutting-edge technology and partnering with industry leaders to deliver high-quality and cost-effective rendering solutions.”

However, Lian remains cautious that RNDR price movement could be hampered by Render’s scalability and security vulnerabilities, which are largely dependent on the Layer 1 blockchain a dApp operates on.

Although Render had migrated away from a slower and more congested Ethereum L1 in November 2023, Lian was wary of the uncertainties and operational challenges that Render could face on Solana.

Commenting on the future of Render and RNDR token, Alex Galert, CEO of Brainzsaid:

“Render’s potential is vast, especially as AI, VR, AR, and other tech trends continue to grow. While $RNDR has seen significant price appreciation, most of its emissions are completed, making it an attractive choice for those bullish on AI and GPU demand.”

In other RNDR token news, Coincodex was bearish on the RNDR token and expected it to slip to $7.48 in its 3-month Render token price prediction.

At the time of writing, RNDR’s 14-day relative strength index (RSI) stood over 87 points, indicating an overbought asset.

However, Tony Severino believes it could be a positive sign.

“RNDR is a clear crypto market leader with a weekly RSI reading of 83.89. While such a reading can signal overbought conditions, it can also point to substantial strength. Additionally, the weekly RSI is making a higher high, generating another buy signal despite clear overbought conditions. RNDR should continue to show upside performance until the monthly RSI reaches overbought levels. It currently shows a reading of 66.39.”

Looking forward, Servino gives a bullish Render token price forecast:

“If RNDR can exceed its previous all-time high, possible targets include the 1.618 Fibonacci extension, which resides at roughly $66 per token. This represents an over 8x increase from today’s RNDR price. Considering the technical strength, fundamental demand, and buzz around AI, RNDR is a promising crypto project worthy of potential investment.”

The Bottom Line: Is Render Token a Good Investment?

The hype around generative AI has pushed the Render token to near-record-high levels. On February 23, 2024, the RNDR token was less than 10% shy of its all-time high of $8.76.

However, investors might consider investing in the Render token with caution as, like any cryptocurrency, it is extremely volatile and considered a risky investment. Remember that analyst predictions can be wrong.

Always do your own research before investing. This article should not be considered investment advice and is for information purposes only.

 

 

 

Source: https://www.techopedia.com/rndr-token-surges-to-a-2-year-high-but-can-the-momentum-last

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

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2023: A pivotal year for AI evolution – What’s next in 2024 and beyond?

2023: A pivotal year for AI evolution – What’s next in 2024 and beyond?

The year 2023 has been a remarkable one for the development and application of artificial intelligence (AI) across various domains and industries. From healthcare to education, from entertainment to finance, from agriculture to manufacturing, AI has demonstrated its potential to enhance human capabilities, solve complex problems, and create new opportunities. But what is the next big thing in AI? And what can we expect from AI in 2024 and beyond?

I will offer my personal perspective on the current state and the future trends of AI, based on the latest research and data from various sources. I will also discuss the implications and challenges of these trends, and how we can prepare for the impact of AI on our society and economy.

One of the most prominent and promising areas of AI research and innovation is the field of natural language processing (NLP), which enables machines to understand, generate, and communicate natural language. NLP has been advancing rapidly in recent years, thanks to the availability of large-scale datasets, powerful computing resources, and novel deep learning techniques. One of the most notable breakthroughs in NLP is the emergence of large-scale pre-trained language models, such as GPT-3, BERT, and T5, which can perform a wide range of natural language tasks, such as text summarisation, question answering, sentiment analysis, and text generation, with minimal or no task-specific fine-tuning.

One of the most exciting applications of NLP is ChatGPT, a conversational AI system that can chat with users on any topic, using natural and engaging language. ChatGPT is based on GPT-4, a massive language model with 175 billion parameters, trained on a large corpus of web texts, books, news articles, and social media posts. ChatGPT can generate coherent and relevant responses, based on the user’s input and the context of the conversation. It can also switch between different modes, such as balanced, creative, and precise, to suit the user’s preferences and needs. It can also generate graphical artworks, based on the user’s prompt, using an artificial intelligence model that can create realistic and artistic images.

ChatGPT is not only a fun and entertaining tool, but also a powerful and versatile one, that can help users with various tasks, such as writing, rewriting, improving, or optimising their content. ChatGPT can also help users with learning, researching, exploring, or discovering new topics, by providing relevant information, facts, opinions, and insights. It can also help users with expressing, creating, or sharing their ideas, thoughts, feelings, or emotions, by generating poems, stories, code, essays, songs, celebrity parodies, and more, using its own words and knowledge.

It is changing the way we interact with machines, and with each other, by enabling natural and meaningful conversations, and by generating rich and diverse content. It is also changing the way we perceive machines, and ourselves, by showcasing the capabilities and limitations of AI, and by challenging our assumptions and expectations of what machines can and cannot do. It has given us a glimpse into the future of AI, and a reflection of our present.

The potential of ChatGPT is immense, and it is expected to grow exponentially in the coming years, as the technology behind it improves and evolves. MarketsandMarkets published a report in April 2023 saying that the global conversational AI market size is expected to increase from USD 10.7 billion in 2023 to USD 29.8 billion by 2028 with a predicted CAGR of 22.6% during the forecast period. The main drivers of this growth are the increasing demand for natural and personalised user experiences, the availability of big data and cloud computing, the advancement of NLP and deep learning technologies, and the emergence of new use cases and applications.

However, ChatGPT also faces significant challenges and risks, such as the complexity and uncertainty of the system, the security and privacy of the data and conversations, the ethical and social implications of the responses and content, and the regulation and governance of the technology. Therefore, it is essential that we develop and implement appropriate frameworks and guidelines for chatgpt, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

The intersection of AI and the Internet of Things (IoT)

Another important and emerging area of AI research and innovation is the intersection of AI and the Internet of Things (IoT). The IoT refers to the network of physical devices, vehicles, appliances, sensors, and other objects that are connected to the internet and can communicate and exchange data with each other. According to Statista, the global IoT market size is expected to reach $1.6 trillion by 2025, with more than 75 billion IoT connected devices worldwide. The IoT enables the collection and analysis of massive amounts of data from various sources, which can provide valuable insights and enable smarter decisions and actions.

However, the IoT also poses significant challenges, such as data security, privacy, interoperability, scalability, and reliability. This is where AI comes in, as a key enabler and enhancer of the IoT. AI can help to process and interpret the data generated by the IoT devices, using techniques such as machine learning, deep learning, natural language processing, computer vision, and speech recognition. AI can also help to optimize the performance and functionality of the IoT devices, using techniques such as reinforcement learning, federated learning, edge computing, and blockchain. AI can also help to create new applications and services based on the IoT data, using techniques such as generative adversarial networks, neural style transfer, and natural language generation.

The combination of AI and IoT, also known as AIoT, is creating a new paradigm of intelligent and connected systems that can transform various domains and industries. For example, AIoT can enable smart healthcare, where IoT devices such as wearable sensors, smart implants, and medical robots can monitor, diagnose, and treat patients, while AI algorithms can analyze the data and provide personalised and preventive care. AIoT can also enable smart education, where IoT devices such as smart boards, tablets, and cameras can facilitate interactive and immersive learning, while AI algorithms can provide adaptive and customized feedback and assessment. AIoT can also enable smart entertainment, where IoT devices such as smart TVs, speakers, and gaming consoles can deliver engaging and immersive content, while AI algorithms can provide personalized and contextual recommendations and interactions.

The potential of AIoT is immense, and it is expected to grow exponentially in the coming years. Based on what MarketsandMarkets mentioned, the global AIoT market size is projected to grow from $5 billion in 2023 to a projected reach of $24.9 billion by 2028, at a CAGR of 37.7% in 6 years. The main drivers of this growth are the increasing demand for smart and connected devices, the availability of big data and cloud computing, the advancement of AI and IoT technologies, and the emergence of new use cases and applications.

AIoT also faces significant challenges and risks, such as the complexity and heterogeneity of the systems, the security and privacy of the data, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is essential that we develop and implement appropriate frameworks and guidelines for AIoT, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

The AI and Crypto combine

Another important and emerging area of AI research and innovation is the intersection of AI and cryptocurrency. Cryptocurrency is a form of digital currency that is not issued by any central authority, but is based on a decentralised network of peer-to-peer transactions that are verified and recorded by cryptography. Cryptocurrency offers advantages such as anonymity, transparency, security, and efficiency, but also faces challenges such as volatility, scalability, usability, and regulation. AI can help to improve and enhance the cryptocurrency ecosystem, using techniques such as machine learning, deep learning, natural language processing, computer vision, and speech recognition. AI can also help to create new applications and services based on cryptocurrency, using techniques such as generative adversarial networks, neural style transfer, and natural language generation.

The combination of AI and cryptocurrency, also known as AI crypto, is creating a new paradigm of intelligent and decentralised systems that can transform various domains and industries. For example, AI crypto can enable smart contracts, where cryptocurrency transactions can be executed automatically and securely based on predefined rules and conditions, without the need for intermediaries or trust. AI crypto can also enable smart governance, where cryptocurrency communities can make collective decisions and actions based on the preferences and feedback of the participants, without the need for central authorities or hierarchies. AI crypto can also enable smart finance, where cryptocurrency users can access and manage their assets and liabilities based on the analysis and prediction of the market trends and risks, without the need for traditional financial institutions or intermediaries.

The potential of AI crypto is enormous, and it is expected to grow rapidly in the coming years. The global cryptocurrency market capitalisation is currently around $1.5 trillion, with more than 10,000 cryptocurrencies in existence. The main drivers of this growth are the increasing adoption and acceptance of cryptocurrency as a legitimate and alternative form of money, the innovation and diversification of cryptocurrency technologies and platforms, and the emergence of new use cases and applications.

Again, AI crypto also faces significant challenges and risks, such as the complexity and uncertainty of the systems, the security and privacy of the transactions, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is crucial that we develop and implement appropriate frameworks and guidelines for AI crypto, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

Web 4.0- the next frontier

One of the most visionary and ambitious areas of AI research and innovation is the concept of Web 4.0, also known as the symbiotic web. Web 4.0 is the next generation of the World Wide Web, where AI and IoT are integrated and interconnected, creating a web of intelligent and autonomous systems that can interact and collaborate with humans and each other. Web 4.0 is based on the convergence of several technologies and trends, such as 5G, cloud computing, big data, blockchain, and semantic web.

Web 4.0 offers advantages such as ubiquity, identity, and connectivity, but also faces challenges such as complexity, interoperability, and reliability. AI can help to enable and enhance Web 4.0, using techniques such as machine learning, deep learning, natural language processing, computer vision, and speech recognition. AI can also help to create new applications and services based on Web 4.0, using techniques such as generative adversarial networks, neural style transfer, and natural language generation.

The combination of AI and Web 4.0, also known as AI web, is creating a new paradigm of intelligent and symbiotic systems that can transform various domains and industries. For example, AI web can enable smart healthcare, where Web 4.0 devices and platforms can monitor, diagnose, and treat patients, while AI algorithms can analyse the data and provide personalised and preventive care. AI web can also enable smart education, where Web 4.0 devices and platforms can facilitate interactive and immersive learning, while AI algorithms can provide adaptive and customised feedback and assessment. AI web can also enable smart entertainment, where Web 4.0 devices and platforms can deliver engaging and immersive content, while AI algorithms can provide personalised and contextual recommendations and interactions.

The potential of AI web is immense, and it is expected to grow exponentially in the coming years. AI web too, faces significant challenges and risks, such as the complexity and heterogeneity of the systems, the security and privacy of the data and transactions, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is essential that we develop and implement appropriate frameworks and guidelines for AI web, to ensure that it is used responsibly and beneficially, and to prevent and mitigate its potential harms and abuses.

In conclusion, the next big thing in AI is the integration and interconnection of AI with other technologies and domains, such as IoT, cryptocurrency, and Web 4.0. These combinations create new paradigms of intelligent and connected systems that can transform various domains and industries. However, these combinations also pose significant challenges and risks, such as the complexity and uncertainty of the systems, the security and privacy of the data and transactions, the ethical and social implications of the decisions and actions, and the regulation and governance of the technologies. Therefore, it is crucial that we develop and implement appropriate frameworks and guidelines for these combinations, to ensure that they are used responsibly and beneficially, and to prevent and mitigate their potential harms and abuses.

Remember, ChatGPT is a remarkable achievement of artificial intelligence, but it is not the end of the journey. It is a milestone that marks the beginning of a new era of human-machine interaction, where natural language is the bridge that connects us. ChatGPT is not only a tool, but also a partner, a friend, and a teacher, that can help us explore, learn, create, and share. ChatGPT is not only a reflection of our intelligence, but also a catalyst for our imagination.

Source: https://ciosea.economictimes.indiatimes.com/blog/2023-a-pivotal-year-for-ai-evolution-whats-next-in-2024-and-beyond/105799659

FAQ

The intersection of AI and the Internet of Things (IoT) is something we should watch in 2024?

Yes. Anndy Lian thinks that we should look deeper into AI and IoT. The combination of AI and IoT, also known as AIoT, is creating a new paradigm of intelligent and connected systems that can transform various domains and industries.

Do you think AI and cryptocurrency is a good combination?

Anndy Lian is a good combination. AI crypto can enable smart contracts, where cryptocurrency transactions can be executed automatically and securely based on predefined rules and conditions, without the need for intermediaries or trust. AI crypto can also enable smart governance, where cryptocurrency communities can make collective decisions and actions based on the preferences and feedback of the participants, without the need for central authorities or hierarchies. AI crypto can also enable smart finance, where cryptocurrency users can access and manage their assets and liabilities based on the analysis and prediction of the market trends and risks, without the need for traditional financial institutions or intermediaries.

What is Web 4.0?

Web 4.0 is the next generation of the World Wide Web, where AI and IoT are integrated and interconnected, creating a web of intelligent and autonomous systems that can interact and collaborate with humans and each other. Web 4.0 is based on the convergence of several technologies and trends, such as 5G, cloud computing, big data, blockchain, and semantic web.

Who is Anndy Lian?

Anndy Lian is an all-rounded business strategist in Asia. He has provided advisory across a variety of industries for local, international, public listed companies and governments. He is an early blockchain adopter and experienced serial entrepreneur, best-selling book author, investor, board member, and keynote speaker.

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

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Bitcoin is Bigger in Asia with U.S. Supply Dropping 11% This Year

Bitcoin is Bigger in Asia with U.S. Supply Dropping 11% This Year

According to on-chain data, Asia has surpassed the United States in terms of active capital in Bitcoin and crypto markets.

Glassnode, an on-chain analytics service, announced on June 5 that the gap between US and Asia Bitcoin supplies held or transacted had grown.

 

According to Glassnode, the year-over-year change in BTC supply by geographical region shows a notable disparity. The US entities’ extreme dominance in 2020-21 has obviously reversed, with US supply dominance declining by 11% since mid-2022. Also, over the last year, European markets have been rather neutral, whereas Asian trading hours have seen a major increase in supply dominance.

The gap has grown wider as America becomes more hostile to Bitcoin and overall cryptocurrency sector while Asia opens up. “This is a distinct reversal from the 2020-21 bull cycle,” Glassnode observed.

The United States’ supremacy began to decline in 2021 and switched negative in mid-2022. This occurred at the same time as the Terra/Luna ecology collapsed and regulatory pressure increased. Since then, the government and federal officials have been on a mission to put an end to the industry through regulatory action.

Glassnode also noticed significant changes in stablecoin supply. Since the beginning of the year, the aggregate stablecoin supply from the top five issuers has decreased by 7.5%, or $10 billion.

A substantial chunk of this fall can be attributed to Circle’s USDC, which was once favored by US financial institutions. In 2023, the USDC supply has fallen by $15.7 billion, or 35%. Circle was also severely harmed as a result of its exposure to the now-defunct Silicon Valley Bank.

Why Is Southeast Asia a Crypto-Friendly Region?

Although cryptocurrency may have started in the G7 (if presumed that Satoshi Nakamoto is Japanese), underdeveloped countries have often been the most enthusiastic about adopting decentralized virtual currencies. The explanation is simple: the promise of financial democratization offered by cryptocurrency has a tremendous appeal in nations where huge segments of the population lack access to key banking services.

It is no coincidence that Asia’s two greatest developing countries, China and India, have imposed severe sanctions on cryptocurrency while rising Southeast Asia has not. Approximately 80% of individuals in both nations have bank accounts.

In comparison, up to 70% of Vietnamese, 66% of Indonesians, and 44% of Filipinos are unbanked. Regulators in these countries are, predictably, slower to restrict access to cryptocurrencies than their colleagues in China and India.

Also, this month, Hong Kong began enabling exchanges to facilitate trading, while in the West, legal proceedings against key exchanges in the United States represented a watershed moment for the industry.

Brian Armstrong, CEO of Coinbase, one of the targets of the SECs legal action, cautioned in an opinion article for MarketWatch that weak regulation would harm the United States.

“In the 1990s and early 2000s, smart—and tailored—regulation enabled the United States to define the Internet Age,” he wrote.

Regarding Hong Kong, Armstrong stated that China’s drive for the crypto story was “no surprise.”

Be it as it may,  some people familiar with the situation believe that US regulatory action against two big cryptocurrency exchanges, Coinbase and Binance, may serve as a model for Hong Kong and Singapore as they seek to combine expansion with investor safety.

The revelation has rattled investor confidence just as Hong Kong is attempting to position itself as a trading hub alongside Singapore, which already has such a framework in place.

US Actions May Be Used as Point of Reference

According to experts, the two cities may use the US action as a reference point, which might mean greater inspection of Bitcoin and crypto trades in Asia.

Anndy Lian, Singapore-based author of the book “NFT: From Zero to Hero” said that there would be a fallout for sure.

“Hong Kong and Singapore are taking measures to regulate the cryptocurrency industry by proposing new licensing regimes for virtual asset trading platforms,” he said .

The Securities and Futures Commission (SFC) in Hong Kong has asked for an evaluation of a proposal that would urge crypto trading platform operators to get the same licenses as securities traders.

According to Lian, other firms that were not applying had been asked to prepare for an orderly closure as well.

Securities, unlike other financial assets, are heavily regulated and require extensive disclosures to notify investors of potential dangers.

“These developments indicate that cryptocurrency exchanges seeking approval in Hong Kong and Singapore will have to adhere to new regulatory requirements and may be subject to increased scrutiny from regulators,” Lian concluded.

Julian Hosp, the CEO and co-founder of Cake Group, a fast-growing Southeast Asia’s digital assets innovator, asserted that the war that the US is waging on cryptocurrencies “shows no signs of abating, and it will only intensify as time wears on.”

He went on to say that the regulator’s action is part of a bigger trend that would most likely continue through the 2024 presidential election.

Rajagopal Menon, vice-president of WazirX stressed that the SEC’s lawsuit primarily focuses on actions that have taken place in the United States and their impact on American citizens. However, he warned that for regulators in Hong Kong, such as the Securities and Futures Commission, and Dubai’s Virtual Asset Regulatory Authority, the SEC’s lawsuit could serve as a point of reference or information.

 

Source: https://www.ccn.com/bitcoin-is-bigger-in-asia-than-us/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

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