Posts from the 'Op-Ed' Category

The SEC’s Approval of Spot Ethereum ETFs: Why It Matters

The SEC’s Approval of Spot Ethereum ETFs: Why It Matters

On May 23, 2024, the United States Securities and Exchange Commission (SEC) approved the first spot Ethereum (ETH) exchange-traded funds (ETFs), a landmark decision that has sent ripples throughout the financial and cryptocurrencies worlds.

This development marks a significant milestone not just for Ethereum but for the broader cryptocurrency market, as it opens the floodgates for institutional investors to inject billions into the space.

I will comment on the implications of this approval, exploring its potential impact on Ethereum and the wider financial ecosystem, and consider the broader regulatory context and market dynamics.

Key Takeaways

  • The SEC’s approval of spot Ethereum ETFs marks a significant step towards the acceptance of cryptocurrencies within traditional financial markets.
  • The decision opens the door for institutional investors, such as pension funds and endowments, to invest in Ethereum, potentially injecting billions into the cryptocurrency market and driving significant price appreciation.
  • Ethereum’s shift to Proof of Stake and its expanding ecosystem, including DeFi and NFTs, positions it as a robust platform, further enhanced by the anticipated influx of institutional capital.
  • However, the SEC’s approval invites increased scrutiny and potential centralization, which could affect the decentralized nature of the Ethereum network.

The Significance of Spot Ether ETFs

The approval of spot Ether ETFs by the SEC is monumental for several reasons. Firstly, it signifies a growing acceptance and legitimization of cryptocurrencies within traditional financial markets. Unlike futures-based ETFs, which derive their value from derivative contracts, spot ETFs are directly backed by the underlying asset—in this case, Ether.

This means that investors in these ETFs are exposed to the actual price movements of Ether, providing a more straightforward and perhaps less speculative investment vehicle.

For institutional investors, the availability of spot Ether ETFs eliminates many of the barriers to entry that have historically impeded large-scale investment in cryptocurrencies. Regulatory uncertainty, custodial challenges, and concerns about market manipulation have all been significant deterrents.

With the SEC’s approval, these concerns are somewhat alleviated, paving the way for pension funds, endowments, and other large institutional players to allocate capital to Ether.

Market Reactions and Predictions

The immediate market reaction to the SEC’s decision was mixed, with both Bitcoin and Ether experiencing price declines shortly after the announcement. This counterintuitive response can be attributed to several factors, including profit-taking by investors who had anticipated the approval and market adjustments to the new influx of institutional interest.

However, in the medium to long term, the introduction of spot Ether ETFs is expected to have a profoundly positive impact on Ethereum’s price and market capitalization. Historical data from the approval of Bitcoin ETFs suggests a similar trajectory.

When the first Bitcoin futures ETFs were approve, Bitcoin’s price surged to an all-time high shortly thereafter. While the current market dynamics are different, the precedent suggests that increased institutional participation could drive significant price appreciation for Ether.

Ethereum’s Technological and Ecosystem Developments

Ethereum, the second-largest cryptocurrency by market capitalization, has undergone significant technological advancements in recent years. The transition from Proof of Work (PoW) to Proof of Stake (PoS) with the Ethereum 2.0 upgrade was a critical milestone. This upgrade drastically reduced Ethereum’s energy consumption by over 99%, addressing one of the major criticisms levied against cryptocurrencies.

Ethereum’s robust ecosystem, which includes decentralized finance (DeFi) platforms, non-fungible tokens (NFTs), and a multitude of decentralized applications (dApps) continues to expand. The total value locked (TVL) in DeFi protocols on Ethereum surpassed $115 billion, underscoring the platform’s growing utility and adoption.

Institutional Investment: A Double-Edged Sword

While the influx of institutional capital is generally seen as a positive development for Ethereum, it is not without potential drawbacks. One concern is the increased centralization of ETH holdings. As institutional investors accumulate large positions, the risk of centralization grows, potentially undermining the decentralized ethos of the Ethereum network.

Additionally, the involvement of large financial institutions could lead to increased regulatory scrutiny. While the SEC’s approval of spot Ether ETFs is a step toward regulatory clarity, it also opens the door for more stringent oversight. This could manifest in various forms, including more rigorous Know Your Customer (KYC) and anti-money laundering (AML) requirements for exchanges and custodians.

The Broader Regulatory Landscape

The SEC’s decision comes at a time when global regulatory attitudes toward cryptocurrencies are evolving. In the United States, the Biden administration has taken a more proactive approach to cryptocurrency regulation, focusing on consumer protection, financial stability, and national security. The approval of spot Ether ETFs aligns with this approach, providing a regulated investment vehicle that mitigates some of the risks associated with direct cryptocurrency ownership.

Internationally, the regulatory environment is similarly dynamic. The European Union’s Markets in Crypto-Assets (MiCA) regulation, set to come into effect in 2024, aims to create a comprehensive regulatory framework for digital assets.

In Asia, countries like Singapore, South Korea and Japan are also moving toward clearer regulatory guidelines, recognizing the growing importance of cryptocurrencies in the global financial system.

Economic Implications and Future Outlook

The approval of spot Ether ETFs could have far-reaching economic implications. For one, it is likely to catalyze further innovation and development within the Ethereum ecosystem. Increased capital inflows can fund new projects, enhance existing protocols, and attract more developers to the network. This virtuous cycle of investment and innovation could accelerate Ethereum’s growth and solidify its position as the leading smart contract platform.

Furthermore, the broader cryptocurrency market stands to benefit from the increased legitimacy and institutional adoption of Ether. Bitcoin, often seen as a gateway to the crypto market, could experience renewed interest as investors diversify their portfolios to include other major cryptocurrencies. This could lead to a more mature and stable market, characterized by reduced volatility and increased liquidity.

Perspectives on Potential Risks

Despite the optimistic outlook, it is crucial to acknowledge the potential risks associated with the SEC’s approval of spot Ether ETFs. Market volatility remains a significant concern, as the cryptocurrency market is still relatively nascent and susceptible to rapid price swings. Additionally, the speculative nature of the market means that prices can be influenced by factors that are difficult to predict or control.

There is also the risk of regulatory changes. While the current regulatory environment is favorable, future administrations or shifts in policy could introduce new challenges. For instance, stricter regulations on cryptocurrency exchanges or changes in tax policy could impact the attractiveness of Ether as an investment.

Maybe another question to look at is “Is staking allowed?” And there are other teething issues too if I want to dig further from a regulatory standpoint.

The Bottom Line

The SEC’s approval of the first spot Ether ETFs represents a transformative moment for Ethereum and the broader cryptocurrency market. By providing a regulated and accessible investment vehicle, this decision has the potential to unlock significant institutional capital, driving further growth and adoption of Ethereum. It is essential to remain cognizant of the associated risks and challenges, including market volatility, regulatory changes, and the potential for increased centralization.

As Ethereum continues to evolve and its ecosystem expands, new technological advancements, regulatory developments, and market dynamics will shape its future trajectory.

For investors, developers, and policymakers alike, the approval of spot Ether ETFs is a pivotal event that underscores the growing importance of cryptocurrencies in the global financial landscape. Whether this will ultimately lead to a more stable and mature market or introduce new complexities and risks remains to be seen.

However, one thing is clear: Ethereum’s journey is far from over, and the next chapter promises to be both exciting and transformative.

 

Source: https://www.techopedia.com/sec-approval-of-spot-ethereum-etfs-why-it-matters

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”.

www.anndy.com
j j j

The strategic imperative of AI and Blockchain in IT budgeting

The strategic imperative of AI and Blockchain in IT budgeting

As we embark on the journey through 2024, the corporate world stands at the precipice of a technological renaissance, one that is fundamentally altering the way IT budgets are allocated. The catalysts of this change are two disruptive technologies: artificial intelligence (AI) and blockchain. These innovations are not merely tools but strategic imperatives that are reshaping the competitive landscape.

The unanimous march towards AI

The march towards AI is not just a trend but a strategic imperative. A recent Gartner survey indicates that an overwhelming majority of CFOs are increasing their AI budgets, with none considering a reduction. This shift is a clear indication of the confidence that business leaders have in AI’s potential to drive operational efficiency and redefine customer interactions. The survey also highlights that a significant portion of CFOs are boosting their AI spending by at least ten percent over the previous year, signifying the critical role AI plays in modern business strategies.

As the budget for AI increases, the budget for cultivating the team is essential. The successful deployment of AI technologies within an organisation is contingent upon the eradication of bias and the cultivation of team alignment. Without a shared vision, substantial investments in AI can fall short. To combat this, companies are embracing collaborative methodologies akin to design sprints, where stakeholders come together to identify challenges and co-create AI-driven solutions. This inclusive approach democratises the innovation process and aligns team members with the overarching goals and applications of AI.

Scaling the unscalable through AI

AI’s impact on cost reduction is most pronounced in areas where human resource scalability is a challenge.

Traditional customer education and support often rely on human labor, which can be a bottleneck when dealing with large volumes of inquiries. Scaling up human resources to handle increasing customer interactions can be costly and logistically challenging. AI technologies, including chatbots and virtual assistants, offer a solution. These systems can handle routine inquiries, provide instant responses, and even guide users through troubleshooting steps. By automating repetitive tasks, companies can free up human agents to focus on more complex issues.

The benefits are obvious too. Deploying AI-driven chatbots significantly reduces the need for a large customer support team. Companies can achieve cost savings by automating routine tasks. AI systems can operate round the clock, providing consistent support to customers regardless of time zones. As customer inquiries increase, AI systems can seamlessly handle the load without requiring additional hiring or training.

The convergence of AI and Blockchain: Challenges and Opportunities

The fusion of AI and blockchain is poised to unlock new levels of operational efficiency, data integrity, and security. In healthcare, for instance, AI’s analytical capabilities, when applied to patient data secured on a blockchain, can yield more accurate and personalised recommendations. Pioneers like Ethereum and BNBChain are leading the charge in this integration, demonstrating the tangible benefits of marrying these two technologies. I continue to see AI based projects being developed on these chains.

As we continue our exploration into the strategic realignment of IT budgets towards AI and blockchain, it becomes imperative to understand the challenges and opportunities these technologies present. I will dive into the intricacies of implementing these technologies, the impact they have across various industries, and how businesses can navigate the associated challenges.

  • Challenges in AI and Blockchain Implementation: The integration of AI and blockchain into business operations is not without its challenges. One of the primary hurdles is the complexity of these technologies, which often requires specialised knowledge and skills. Companies must invest in training and development to ensure their teams are equipped to handle AI and blockchain applications. Additionally, there are concerns about data privacy and security, particularly when it comes to AI’s data-hungry algorithms and blockchain’s immutable records. Businesses must navigate these concerns with a balanced approach, ensuring compliance with regulations while leveraging the full potential of these technologies.
  • Opportunities for Innovation and Growth: Despite the challenges, the opportunities presented by AI and blockchain are vast. These technologies can streamline supply chains, enhance customer service, and provide new insights through data analysis. In the financial sector, blockchain can revolutionise transactions by increasing transparency and reducing fraud. AI, on the other hand, can transform customer service through personalised interactions and predictive analytics. The healthcare industry also stands to benefit significantly, with AI enabling more accurate diagnoses and blockchain ensuring secure patient data management.

Real-world applications and actionable insights for AI and Blockchain integration

In this final installment of our comprehensive look at the strategic realignment of IT budgets towards AI and blockchain, we turn our attention to real-world applications and the actionable insights that can guide businesses in their integration efforts. This section will present case studies of successful implementations and offer practical advice for companies looking to harness these technologies for innovation and growth.

The real-world applications of AI and blockchain are as varied as they are impactful. Let’s consider a few case studies:

  1. AI-driven predictive maintenance in manufacturing: An automotive manufacturer implemented AI algorithms to predict equipment failures before they occur. By analysing historical data and real-time inputs from machinery, the AI system identifies patterns that precede breakdowns, allowing for proactive maintenance. This shift has led to a significant reduction in downtime and maintenance costs, showcasing AI’s potential to enhance operational efficiency.
  2. Blockchain for supply chain transparency: A multinational retail corporation adopted blockchain technology to track the provenance of products from source to store. This initiative provided customers with verifiable information about the origin and journey of their purchases, fostering trust and transparency. Moreover, the blockchain system streamlined the supply chain process, reducing waste and inefficiencies.
  3. AI in financial services for fraud detection: A regional bank leveraged AI to improve its fraud detection capabilities. The AI system analyses transaction patterns and flags anomalies that may indicate fraudulent activity. This proactive approach has not only protected customers’ assets but also saved the bank millions of dollars in potential losses.

Actionable insights for businesses

Drawing from these case studies, here are some actionable insights for businesses looking to integrate AI and blockchain into their operations:

  • Start Small and Scale Up: Begin with pilot projects that address specific pain points within your business. This allows you to measure the impact of AI and blockchain and make informed decisions about scaling up.
  • Focus on Data Quality: AI’s effectiveness is directly tied to the quality of data it processes. Ensure that your data is accurate, comprehensive, and clean before feeding it into AI systems.
  • Build a Skilled Team: Invest in training and hiring talent with expertise in AI and blockchain. A knowledgeable team is essential for successful implementation and ongoing innovation.
  • Stay Compliant: Keep abreast of regulations governing data privacy and blockchain transactions. Compliance is critical to avoid legal pitfalls and maintain customer trust.
  • Foster a Culture of Innovation: Encourage experimentation and learning within your organisation. A culture that embraces innovation is more likely to find creative ways to apply AI and blockchain technologies.

In Conclusion

The strategic realignment of IT budgets towards AI and blockchain is more than a trend; it is a necessary evolution for businesses in the digital age. Companies that successfully integrate these technologies stand to gain a competitive advantage through enhanced efficiency, cost savings, and innovation. By drawing on the lessons from successful case studies and adhering to actionable insights, businesses can navigate the complexities of this transformation and emerge as leaders in their respective industries.

As we conclude this article, the strategic realignment of IT budgets towards AI and blockchain is a clear indicator of the direction in which the corporate world is heading. As we navigate the intricacies of implementation and leverage the opportunities for innovation, it is crucial to start with focused pilot projects, prioritise data quality, build a skilled team, and ensure compliance with regulations. The journey through 2024 and beyond will be marked by the companies that harness the synergistic power of AI and blockchain, propelling them to new heights of efficiency and innovation. The future is here.

Anndy Lian is an Intergovernmental Blockchain Expert and Best Selling Book Author “NFT: From Zero to Hero”. The views in this article are personal and do not represent the organisation’s views.

 

 

Source: https://ciosea.economictimes.indiatimes.com/blog/the-strategic-imperative-of-ai-and-blockchain-in-it-budgeting/110323869

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”.

www.anndy.com
j j j

AI: The invisible hand steering Blockchain’s evolution

AI: The invisible hand steering Blockchain’s evolution

Imagine stepping into a world where every transaction you make, every contract you sign, isn’t just a simple exchange, but part of a vast, interconnected web of data. This is the world of blockchain, a place where every piece of information is locked in a digital chain, visible for all to see, yet secure and unchangeable. It’s like a digital time capsule, preserving the history of our digital interactions with absolute fidelity.

Now, enter AI, the brilliant, ever-learning brain that’s starting to dip its toes into this digital stream. It’s not just dipping, though; it’s diving deep, swimming through the currents of data with the grace of a dolphin. AI is the new guardian of this realm, a sentinel that never sleeps, always watching, learning, and adapting to keep the blockchain universe safe and sound.

Think of AI as the Sherlock Holmes of the digital world. It looks at the blockchain with a magnifying glass, picking up on the subtlest clues that hint at something amiss. It’s on the lookout for the digital equivalent of Moriarty, ready to pounce on any fraudulent transaction that tries to slip through the cracks. And it’s not just good at catching the bad guys; it’s also a master of efficiency, optimising the way smart contracts work, making them smarter, faster, and more reliable.

 

Role of AI within in blockchain

The role of artificial intelligence (AI) within the blockchain environment is a multifaceted one, intersecting with issues of security, efficiency, and innovation. As blockchain technology underpins a growing number of systems, from cryptocurrencies to supply chain management, the need for advanced oversight and maintenance becomes increasingly critical. AI, with its expansive capabilities, stands as a pivotal tool in ensuring the robustness of blockchain applications.

At the core of blockchain technology is the concept of a distributed ledger—a database that is consensually shared and synchronised across multiple sites, institutions, or geographies, accessible by multiple people. It allows transactions to have public “witnesses,” thereby creating a level of accountability for all parties involved in the transaction. Each transaction is recorded as a “block” and contains a timestamp and a link to the previous block, forming a chronological chain.

One of the primary roles of AI in this environment is to enhance the security of these blockchains. Given the immutable nature, once data is entered, it is exceedingly difficult to alter. This is a fundamental feature that ensures the integrity of the ledger’s history. However, before this data is entered, there is a critical need to verify its accuracy and legitimacy. AI algorithms are increasingly sophisticated in detecting patterns and anomalies that could indicate fraudulent activity. By analysing vast quantities of transaction data, AI can identify irregularities that may elude human oversight, acting as an early detector for possible fraud and scams.

Moreover, AI systems can be trained to understand the typical behavior of a blockchain network, which means they can also detect deviations that could signify a security breach. This is particularly relevant in the realm of cryptocurrencies, where large-scale fraud and theft have resulted in significant financial losses. AI-driven security systems can work continuously, scanning for suspicious activities across multiple chains and alerting human operators to potential threats in real-time.

Another essential application of AI in blockchain is the optimisation of smart contracts. Smart contracts are self-executing contracts with the terms of the agreement directly written into lines of code. They are designed to automatically enforce and verify contract terms, reducing the need for intermediaries and thereby lowering transaction costs. However, smart contracts are only as effective as the code they are written in, and bugs or flaws in this code can lead to significant vulnerabilities. Utilising AI to check and validate smart contracts before they are launched can greatly reduce the risk of errors that could be exploited by malicious actors.

AI can also assist in the development of smart contracts by providing predictive models based on historical data, which can guide the creation of more robust and resilient contracts. The use of machine learning algorithms can enable a dynamic approach to smart contract management, where contracts can evolve in response to changing conditions without human intervention.

The integration of AI also extends to its operational efficiency. The processing power required to validate transactions on a blockchain, particularly for proof-of-work systems like Bitcoin, is substantial. AI can streamline the validation process by intelligently predicting which transactions are most likely to be legitimate and prioritising them for confirmation. This not only accelerates transaction processing times but can also reduce the energy consumption associated with mining activities—a critical concern given the environmental impact of large-scale cryptocurrency mining operations.

On the matter of data integrity, AI systems can help maintain the accuracy and consistency of data on the blockchain. By using AI algorithms to cross-reference and corroborate information from multiple sources, it’s possible to ensure that the data being added on chain is both accurate and complete. This is particularly vital in supply chain applications where provenance and authenticity are paramount.

My perspectives on the current state

To provide a personal perspective on the current state, the integration of AI in blockchain is still in its early stages. However, the potential implications are immense. Blockchain technology promises a level of transparency and security that was previously unattainable in many digital transactions. When combined with the predictive power of AI, blockchain’s capabilities are significantly enhanced.

Statistics and data support the optimistic view of AI and blockchain integration. According to a report by MarketsandMarkets, the global AI in the blockchain market size is expected to grow from USD 228 million in 2020 to USD 703 million by 2025, at a Compound Annual Growth Rate (CAGR) of 25.3% during the forecast period. This growth is indicative of the increasing recognition of the value that AI brings to blockchain-based applications.

Citing from the National Library of Medicine, AI and blockchain stand out as the twin pillars of innovation birthed by the Fourth Industrial Revolution, heralding profound transformations across industries. The fusion of these technologies promises to unlock unprecedented opportunities, paving the way for novel business paradigms empowered by digitalisation. Despite existing research on their individual applications and collective convergence, a comprehensive grasp of how their integration can benefit businesses is still developing. This study is designed to bridge this knowledge gap by delineating the diverse applications and advantages of the combination, showcasing their potential across various business sectors. I would like to add on to say that it led to the development of more efficient and trustworthy digital platforms. AI could significantly enhance the decision-making processes inherent in blockchain networks, leading to more intelligent and adaptive digital ecosystems.

Conclusion

In conclusion, the role of AI in the blockchain environment is both transformative and essential. AI’s ability to analyse large datasets, detect patterns, and predict outcomes makes it an invaluable asset in managing and securing the blockchain. From optimising smart contracts to enhancing security and operational efficiency, AI provides the tools necessary to address the inherent challenges of blockchain technology.

Bearing in mind, AI’s role isn’t just about playing defense; it’s also about building a better future. It’s like a skilled architect, using historical data as its blueprint to design smart contracts that are not just smart by name but truly intelligent. These contracts can adapt, evolve, and respond to the world around them without any human needing to lift a finger.

And let’s not forget the sheer muscle power AI brings to the table. Validating transactions in the blockchain world, especially in the energy-hungry proof-of-work systems, is like a never-ending marathon. AI is like a world-class coach, ensuring that every step, every breath, every beat of the heart is optimised for peak performance, cutting down on the energy bill and keeping the digital world green.

In the grand scheme of things, the marriage of AI and blockchain is still fresh, the ink on the wedding certificate barely dry. But oh, the potential it holds! It’s like we’ve been given a glimpse of a utopian digital society, where transparency and security are the norm, not the exception. The stats and studies are painting a rosy picture, with growth charts and forecasts all pointing skywards, telling us that this is just the beginning of a beautiful partnership.

So, as we stand on the brink of this new digital dawn, let’s not just watch; let’s dive in and swim with the current. The fusion of AI and blockchain isn’t just a technological revolution; it’s a promise of a more secure, efficient, and sustainable future. And as we continue to explore and innovate, who knows what wonders we’ll uncover in this brave new world of bits and bytes. The continued research and development in this field will undoubtedly unlock new possibilities and reinforce the foundational role these technologies will play in the evolution of digital infrastructure.

Anndy Lian is an Intergovernmental Blockchain Expert and Best Selling Book Author “NFT: From Zero to Hero”. The views in this article are personal and do not represent the organisation’s views.

Source: https://ciosea.economictimes.indiatimes.com/blog/ai-the-invisible-hand-steering-blockchains-evolution/109388874

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”.

www.anndy.com
j j j