Understanding and Appreciating Generative Art in the Age of NFTs

Understanding and Appreciating Generative Art in the Age of NFTs
Highlights

Generative art and NFTs have been a hot topic in the art world in recent years, with the value of generative art being subjective and varying depending on the artist and the specific piece. Understanding and appreciating generative art involves considering the process, looking for patterns and variations, thinking about the relationship between the artist and the algorithm, considering the concept, and being open-minded.

Generative art fits well with the NFT. Here’s why

The market for NFTs in the art world has grown rapidly in recent years, and it is expected to continue to expand in the future. After launching my book NFT: From Zero to Hero, I have given many talks and held several AMA (Ask Me Anything) sessions. One topic that came up frequently during these sessions was the topic of generative art and NFTs. Specifically, many people have asked about the definition of generative art, the value behind these NFTs, their longevity, and how we can appreciate this form of art. In this statement, I will do my best to provide answers to these questions.

Generative art is a form of art that is created using algorithms and computer programs. It is an art form that is created using mathematical rules and procedures rather than being made by the artist’s hand. The computer generates the artwork, and the artist’s role is to create the rules and parameters that the computer uses to generate the final piece.

Understanding generative art

Appreciating generative art can be similar to enjoying other forms of art, but there are also some unique aspects to consider. Some people might find it visually appealing or thought-provoking, while others might find it challenging or confusing. The value of generative art, like any other form of art, is subjective and can depend on many factors, such as the artist’s intent, the complexity of the algorithm used, the uniqueness of the piece, and the social or historical context in which it was created. Here are a few tips for approaching and understanding generative art:

Consider the process: Generative art is created using algorithms and computer programs, so it can be interesting to think about the process that was used to create the artwork. What parameters and rules were set by the artist? How does the algorithm determine the final output?

Look for patterns and variations: Because generative art is created using a set of rules, there may be repeating patterns or variations within the piece. Observing these patterns and variations can provide insight into how the artwork was created.

Think about the relationship between the artist and the algorithm: Unlike traditional art, where the artist has complete control over the final output, the artist in generative art is also a programmer, so the relationship between the artist and the algorithm that creates the artwork is unique, consider how the artist influences the algorithm and how the algorithm influences the final result.

Consider the concept: As with any art, the idea behind generative art is also essential. What themes or ideas are being explored? What is the artist trying to communicate through the use of algorithms and computer programs?

Be open-minded: Generative art can be very different from traditional art forms, so it can be helpful to approach it with an open mind and be willing to consider new perspectives.

By considering these factors, you can gain a deeper understanding and appreciation of generative art and its unique characteristics.

The value behind generative art

The value behind generative art can vary depending on the artist and the specific piece, but generative art is generally valued for its unique combination of technology and creativity. Some of the critical aspects that contribute to the value of generative art include:

The use of technology: Generative art relies on using algorithms, code, and other forms of technology to create artwork. This can create a sense of novelty and innovation and a level of complexity that is impossible with traditional art forms.

The artist’s intent: Like any other art form, the artist’s goal is vital in understanding the value of generative art. What is the artist trying to communicate through the use of technology and algorithms?

The element of chance: Generative art often involves algorithms that create unexpected and random outcomes. This can create a sense of surprise and intrigue and make each generative art unique.

The aspect of collaboration: Generative art can be seen as a collaboration between the artist, who sets the rules and parameters, and the algorithm, which generates the final output. This creates a sense of interdependence and relationship between the artist and the technology.

The concept of digital scarcity: The use of non-fungible tokens (NFTs) in digital art allows for creating unique digital assets, which can be bought and sold like physical artworks. This creates a sense of digital scarcity and uniqueness, which adds value to the artwork.

The ability to generate new and dynamic works: Generative art algorithms can be set to run indefinitely, generating new variations of the same artwork, making it a dynamic and ever-changing medium.

The value of generative art is subjective and can depend on various factors. However, by considering the use of technology, the artist’s intent, the element of chance, the concept of digital scarcity, the aspect of collaboration and the ability to generate new works, one can gain a deeper understanding of the value behind generative art.

Which generative artist am I following?

Many talented artists are working in the field of generative art, but here are a few who have gained recognition for their work:

  1. Joshua Davis: Joshua Davis is a pioneer in generative art, and his work often combines programming, design, and animation. He is known for creating complex and detailed digital images using algorithms and code.
  2. Golan Levin: Golan Levin is an artist and designer whose work spans a variety of mediums, including generative art, digital fabrication, and interactive installations. He is known for creating interactive pieces that respond to user input and for using code to create visuals.
  3. Zach Lieberman: Zach Lieberman is an artist and programmer whose work often involves the use of technology to create interactive and generative art. He is known for his use of open-source programming tools and his ability to create complex and dynamic visuals using code.
  4. Rafael Lozano-Hemmer: Rafael Lozano-Hemmer is an artist who creates interactive installations that use technology to allow viewers to interact with the artwork. His work often involves the use of generative algorithms to create dynamic and responsive visuals.
  5. David McLeod: David McLeod is an artist and developer based in New York. He is known for his generative artworks that explore the intersection of art and technology. His work often combines generative algorithms, machine learning, and data visualisation.
  6. Beeple: Mike Winkelmann, also known as Beeple, is a digital artist and graphic designer who creates both generative and non-generative digital art. He is known for creating unique, one-of-a-kind digital images and animations, and his digital artwork is highly sought after by collectors.
  7. Tyler Hobbs: Tyler Hobbs is an artist and software engineer who creates digital art using algorithms and code. He is known for his abstract and dynamic visual creations that often feature patterns and shapes generated through complex mathematical processes.

There are many more talented artists working in the field, and the field is growing. New artists are emerging, and their works are gaining recognition. These are just a few examples of famous generative artists I follow.

How to create generative art?

There are many ways to create generative art, as the term encompasses various techniques and technologies. Here are a few standard methods:

Algorithmic art: This form of generative art uses mathematical algorithms or equations to create images or animations. Artists can use programming languages such as Python or JavaScript to write code that generates visual elements based on specific parameters or rules.

Data visualisation: This form of generative art uses data sets to create visual representations of information. Artists can use tools such as Processing, D3.js, or Tableau to create interactive visualisations that allow viewers to explore data in new and meaningful ways.

Neural networks: This generative art form uses machine learning algorithms to create images or animations. Artists can use frameworks such as TensorFlow or PyTorch to train neural networks on image data sets and then use the trained networks to generate new images.

Randomness: This form of generative art uses randomness as the primary driver of image creation. The artist can use different techniques like fractals, cellular automata, or Perlin noise to create complex and unique images based on random inputs.

Hybrid methods: Artists can combine different techniques and technologies to create generative art. For example, an artist might use a neural network to generate an initial image and then use algorithmic techniques to refine or manipulate the image further.

It’s important to note that generative art is a form of digital art and requires some knowledge of programming and an understanding of algorithms and data visualisation.

This is an example of a simple program for generating generative art, but the program’s specifics will depend on the desired outcome and the tools you are using. Here is an example of a Python program that generates a random geometric pattern using the library “Bird”:

The code looks like this:

import bird

import random

 

def generate_art():

   # Set up the bird

   t = bird.Bird()

   t.speed(0)

   t.penup()

   t.goto(-150, -150)

   t.pendown()

 

   # Generate the geometric pattern

   for i in range(50):

       # Choose a random color

       t.color(random.random(), random.random(), random.random())

       

       # Choose a random size and direction

       size = random.randint(10, 50)

       direction = random.randint(0, 360)

       

       # Draw the shape

       t.left(direction)

       t.forward(size)

       t.right(direction)

       t.forward(size)

       t.right(direction)

       t.forward(size)

       t.right(direction)

       t.forward(size)

       t.right(direction)

 

generate_art()

bird.done()

Generative art can take many forms, including digital images, animations, and sculptures. It can also be interactive, changing in response to the viewer’s actions.

 

Generative art and NFT

Generative art has the potential to offer a unique and dynamic experience for the viewer, as the artwork can change over time and can be different every time it is viewed. It also allows for an almost infinite number of variations and iterations, so it is possible to create a series of unique artworks from a single set of rules and parameters. This means that the artwork can evolve and adapt to its environment or respond to the viewer’s actions in real time.

The potential of generative art in the context of non-fungible tokens (NFTs) is significant because it allows for creating and selling unique, one-of-a-kind digital artworks. NFTs are digital assets that are stored on a blockchain, a secure and transparent digital ledger, which allows for the verification of ownership and authenticity of digital artworks.

Using NFTs in generative art allows artists to sell their artworks as unique, one-of-a-kind assets rather than just digital copies. This means the artwork can be owned, collected, and traded like traditional physical artworks. Additionally, NFTs enable the artist to set their own terms and conditions for the artwork’s use and distribution, which can give them more control over their creations. Furthermore, NFTs can also provide a new way for artists to monetise their work, as they can sell their artwork as NFTs and get compensated for each transaction. This can be especially beneficial for generative artists, as their artwork can be sold multiple times, providing them with a new revenue stream.

In conclusion, integrating NFTs into generative art is a promising development that can revolutionise how artists monetise their work and how digital art is collected and traded. It is an excellent way for artists to showcase their skills and creativity and for collectors to invest in unique and valuable digital assets. The use of NFTs in generative art is helping to push the boundaries of what is possible in the world of digital art and is helping to bring more recognition to this exciting and dynamic field.

We are also sharing with the world the potential of Web3 and AI. Let’s continue to BUILD.

 

Source: https://indiaai.gov.in/article/understanding-and-appreciating-generative-art-in-the-age-of-nfts

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”.

j j j

Panel Discussion: How to survive and strive in Web3?

Panel Discussion: How to survive and strive in Web3?

Web3 refers to the third generation of the World Wide Web, which focuses on decentralized technologies such as blockchain and peer-to-peer networks. Web3 technologies have the potential to disrupt traditional centralized models and enable greater user control, privacy, and security.

There are a few reasons why Web3 is gaining popularity:

Decentralization: Web3 technologies are decentralized, meaning they are not controlled by a single entity or organization. This can give users greater control over their data and assets and reduce the risk of censorship or interference.

Security: Web3 technologies are designed to be more secure than their centralized counterparts. For example, blockchain networks are secured through cryptographic techniques, making them resistant to tampering and fraud.

Privacy: Web3 technologies can help preserve user privacy by allowing individuals to control their own data and assets rather than relying on a third party.

Interoperability: Web3 technologies are designed to be interoperable, meaning they can work together and exchange data seamlessly. This can enable the development of new and innovative applications and services.

The popularity of Web3 technologies is driven by the potential for greater control, security, privacy, and interoperability in the digital world.

But does the wider audience in the crypto space think the same? How do we survive and strive in the Web3 environment? This topic is covered by a panel of experts at Twitter Spaces on 30th Dec 2022 at 21:00 SGT.

Hosted by Blockcast (https://twitter.com/Blockcastcc) and
Co-Hosted: Bybit NFT (https://twitter.com/Bybit_NFT) and Bybit Web3 (https://twitter.com/Bybit_Web3).

It was moderated by Scott Tripp, Marketing Lead of Blockcast.cc.

With the following guests discussing the Web3 topic:
– Allan, Head of Operation, Moledao (https://moledao.io)
– Anndy Lian, Book Author, NFT: From Zero to Hero (https://anndy.com)
– Grace, CMO of TwitterScan
– Jenny Zheng, BD Lead of Bybit NFT (https://www.bybit.com)
– Yoka, Secretary General of ABGA

In conclusion, here are a few tips that might help you survive and thrive in the Web3 ecosystem:

Keep learning: The Web3 ecosystem is constantly evolving, so it’s important to stay up-to-date on the latest developments. This can be done through online courses, attending conferences, and following industry leaders on social media.

Network: The Web3 ecosystem is still small and tight-knit, so networking with other professionals can be incredibly valuable. Join online communities, attend meetups, and participate in hackathons to meet others in the industry.

Focus on a specific area: While it’s important to have a broad understanding of the Web3 ecosystem, it can also be helpful to focus on a specific area and become an expert in that field. This could be a particular protocol, platform, or application.

Experiment: The Web3 ecosystem is still in its early stages, so there is much room for experimentation and innovation. Don’t be afraid to try new ideas and approaches, and be open to learning from your failures.

Stay positive: The Web3 ecosystem is full of challenges and setbacks, so staying positive and maintaining a growth mindset is essential. Keep an open mind and remain resilient, and you’ll be well-equipped to handle whatever comes your way.

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”.

j j j

27 stats about NFTs in 2022 – who are the big winners

27 stats about NFTs in 2022 – who are the big winners

“Web 3.0 brings endless opportunities to many people, changes lives in Kenya, removes barriers in India and empowers developers in China to service global audiences during the COVID lockdown period. Your gateway to Web 3.0 is just one click away. Let’s innovate.”

– Anndy Lian.

 

At the beginning of the year, when the crypto market was red hot, it was extremely tough to understand what was going on in the NFT industry.

At the beginning of the year, when the crypto market was red hot, it was extremely tough to understand what was going on in the NFT industry.

The massive influx of collections, new marketplaces, and easy money in the space created the perfect mix of incentives for fraudulent activity. As we know, I published an article in October about NFT wash trading, several “OpenSea killers” were built entirely on fake activity, and not everything was as it seemed when you looked at NFT collection leaderboards. As the market crashed, so did activity across the board (both fake and organic).

But not all was negative. Several highly innovative NFT collections broke the mold of zany PFP images and proved a market for digital, non-fungible art existed.

While there was a proliferation of small collections and grassroots community-building in some corners of the industry (e.g., Solana and Magic Eden), the year also saw consolidation with the birth of the first NFT megacorp in Yuga Labs.

Instead of telling you what to think about 2022 and where the NFT world is heading in 2023, this article has the essential stats from last year so you can create your own analysis.

9 Stats about the NFT Industry

1. Total sales of NFTs in 2022 was $55.5B

This is up 175from $20.2B in 2021. When you compare 2020 to 2022 total sales, it is 390X more.

2. The market capitalization of the NFT industry peaked on April 4th at $41.5B

Market capitalization is calculated as the sum of each NFT valued at the greater of its last traded price and the floor price of the collection, respectively. Suspected wash trades have been filtered out.

2022 Market Cap & Trading Volume
2022 Market Cap & Trading Volume

3. Roughly 85K NFT collections were launched last year

In 2021, there were around 14.5K collections, while the number nearly reached 99K by the end of 2022. Notice that Opensea remains the leader in both years.

Total Number of Market Collections 2021
Total Number of Market Collections 2021
Total Number of Market Collections 2022
Total Number of Market Collections 2022 / Reference: Total Number of Market Collections 2021 vs Total Number of Market Collections 2022

4. About 7,700 collections had trading volume over $100K

Do note that the majority of this activity did not come from a legitimate, organic interest in the project based on the date collected.

2022 Top Collections
2022 Top Collections / Reference: Top Collections 2022

5. Only 2,623 collections had more than 1000 unique buyers

As with all stats in the NFT industry, this one should be taken with a grain of salt due to the significant amount of wash trading, especially during the year’s first half.

Top Collections 2022
Top Collections 2022

Reference: Top Collections 2022

6. NFT trading volume reached its 2022 peak in January, with $17.4B in value

This was more than a 4x jump from the previous month (December 2021). This was also the month when Google searches for the keyword “NFT” reached their all-time high.

NFT Trading Value
NFT Trading Value

Reference: Trading Value (V)

7. The biggest gap between the number of sellers and buyers was in January, with about 200K more sellers than there were buyers.

Yet January was also the hottest month for NFT prices for most major collections, indicating that using these metrics as an analog for supply and demand has flaws.

NFT Buyers vs. Sellers
NFT Buyers vs. Sellers

Reference: NFT Buyers vs. Sellers

8. Last year, 46% of total NFT trading volume was likely to be caused by wash trading

There are several indicators and filters to detect suspicious activity. To identify these types of transactions, I use Footprint Analytics’ filters to separate transactions to the following formula:

  • a.) Overpriced NFT trades (10x OpenSea Average Price)
  • b.) Collections with 0% royalties (except CryptoPunks and ENS)
  • c.) An NFT bought more than a normal amount of times in a day (currently filtered for more than 3+)
  • d.) An NFT bought by the same buyer address in a short period (currently filtered for 120 minutes)
NFT Volume by Chain
NFT Volume by Chain / Reference: NFT Volume by Chain (With Wash Trading Filtered) vs. NFT Volume By Chain

6 Stats about NFT Collections

9. The collection with the largest market cap by the end of the year was CryptoPunks at $1.1B

Crypto Punks, launched by Larva Labs in 2017, was the first NFT collection to become a household name and have the highest floor price in the industry. Yuga Labs acquired the IP of the collection in March 2022.

Reference: 2022: Top Collections by Market Cap

10. Trading volume of major collections in the Yugaverse—Yuga Labs’ portfolio of products—was $3.1B

This sum includes Bored Ape Yacht Club, Mutant Ape Yacht Club, Bored Ape Kennel Club, Otherside, and CryptoPunks. It excludes Meebits, which had more trading volume than all of these combined,

Reference: Yuga Labs (Trading Volume in 2022)

11. Yuga Labs’ portfolio accounts for about 20% of the total market cap of the entire NFT industry

This sum includes Bored Ape Yacht Club, Mutant Ape Yacht Club, Bored Ape Kennel Club, Otherside, CryptoPunks and Meebits.

12. Without any wash trade filtering, Terraforms by Mathcastles had an astounding $12B in trading volume, more than any other collection, across 11,341 transactions

However, 99.8% of the volume and 46.3% of transactions were detected as wash trading.

Reference: NFT – Collections

13. When filtering out wash trading, CryptoPunks had the highest volume ($2.9B) followed by Bored Ape Yacht Club ($2.3B)

Reference: 2022: Top Collections by volume

14. ArtBlocks Curated was the 4th most traded collection by volume and amassed a market cap $325M

ArtBlocks demonstrated that there is a market for high-end artistic NFTs—it stands out among Yuga PFP projects, and metaverse land NFTs at the top of the rankings

15. There were 7 major collections whose volume was over 95% wash trading

For this stat, “major” means having over $1M in real trading volume. Terraforms by Mathcastles, More Loot, dotdotdots, Dreadfulz, Audioglyphs, CryptoPhunksV2, and Meebits.

6 Stats about Chains and Markets for NFT Projects

16. Ethereum had 95% percent of volume, 47% of transactions, and 71% of protocols

These figures are almost the same as in 2021. Based on the data, Ethereum is still the most widely used for NFT.

Reference: 2022 Market Share of Transactions by Chain and 2022 Market Share of Trading Volume by Chain and Yearly Number of NFT Protocols by Chain

17. Solana went from having no NFT protocols in 2021 to 5,335 in 2022

Solana is ranked third globally at the point of writing.

Another thing to note is that Ethereum grew from 420 in 2019 to 55,144 in 2022.

Yearly Number of NFT Protocols by Chain
Yearly Number of NFT Protocols by Chain / Reference: Yearly Number of NFT Protocols by Chain

18. OpenSea hosted 53% of all total collections

OpenSea remained the marketplace of choice for Ethereum and Polygon. However, Magic Eden capitalized on its Solana first-mover advantage to be the marketplace of choice for collections on this chain (OpenSea started listing them in April.) Note: a collection can list on multiple marketplaces.

Reference: 2022: Number of Marketplace Collections by Chain

19. Solana had more active users in October, with 411K, than Ethereum, with 392K

While most of the blue-chip collections and collectors transact on OpenSea and Ethereum, Solana built up a sizable community of NFT enthusiasts in 2022. Solana’s active users hovered between 20-45% of the total market share—October was the only month it overtook Ethereum for this metric

Reference: Chain Monthly Active User

20. OpenSea had 96,459 unique wallets make a transaction on the protocol on Feb. 2

This is more transactions than any other marketplace on any other day.

Reference: 2022 Marketplace Daily Active User

21. Over $903M in platform fees were generated on OpenSea, going to both the marketplace and creators

This made OpenSea the most profitable marketplace in terms of fees generated from trading (which went to the platform and are disbursed to creators.)

Reference: Top Marketplaces

6 Stats about NFT Investment & Fundraising

22. The NFT industry received a total of $2.98B in fundraising in 2022

The highest was in January 2022 at $964M. The lowest is in December at $29.4M.

NFT Investment Amount in 2022
NFT Investment Amount in 2022 / Reference: NFT investment Amount in 2022

23. Animoca Brands closed the largest round of the year, $358M led by Liberty City Ventures

Animoca has said it will use the funding for strategic acquisitions and investments, develop its games and metaverse products, and acquire licenses for popular intellectual properties.

Reference: 2022 NFT Fundraising Details

24. There were 1,992 total fundraising rounds in 2022, 756 more than in 2021

Reference: Investment by Category in 2022

25. While NFT-related projects were the most popular category among VCs by the number of rounds, they were the 2nd-least popular in 2022

In 2022, general Web3 projects closed the most rounds (711), followed by DeFi (362), infrastructure (331), NFTs (326), and, finally, CeFi (257).

NFT Investment by Category in 2022
NFT Investment by Category in 2022 / Reference: Investment by Category in 2022

26. Seed rounds made up 81% of total NFT funding rounds

Reference: NFTs Funding Rounds

27. The 2 largest rounds for pure NFT projects went to OpenSea ($300M) and Dapper Labs ($250M)

The OpenSea round was one of only 5 Series C or D rounds in 2022. Dapper Labs is the studio behind the NBA Top Shot collection.

Key Takeaways

As we can see, Web 3.0 is proliferating. NFT is undoubtedly part of the whole Web 3.0 ecosystem. In the Web 3.0 ecosystem, NFTs are often used to facilitate the buying and selling of unique digital assets on decentralized platforms. These platforms use smart contracts to enable transactions without the need for intermediaries. They can facilitate the buying and selling of NFTs and allow NFT holders to earn passive income by lending out their NFTs. There are many use cases to showcase.

Web 3.0 will continue to draw more investment in 2023 based on some of the deal flows I see in the market. OKX Ventures and GSRV co-lead a $2 Million seed round for a Web 3.0 decentralized Identity platform. Binance Labs launched a $500M fund to support promising Web 3.0 projects and start-up firms with great potential earlier this year. Du Jun, the co-founder of cryptocurrency exchange Huobi Global, runs ABCDE Capital, a $400M Web 3.0 venture capital fund is dedicated to investing in web3 builders.

Apart from the crypto firms-led firms, it’s also true that traditional investment companies are beginning to take notice of the Web 3.0 ecosystem and are starting to invest in companies and projects that are working on decentralized technologies, such as blockchain and non-fungible tokens (NFTs).

There are several reasons why traditional investment companies might be interested in investing in web3 technologies. One reason is that the Web 3.0 ecosystem is still in its early stages and has much growth potential. Decentralized technologies have the potential to revolutionize many different industries, from finance and real estate to art and collectibles.

Another reason is that the Web 3.0 ecosystem is relatively uncorrelated with traditional financial markets, which can offer diversification benefits for investors. This can be especially appealing in times of economic uncertainty, when traditional financial markets may be more volatile.

Ending with a quote:

“Web 3.0 brings endless opportunities to many people, changes lives in Kenya, removes barriers in India and empowers developers in China to service global audiences during the COVID lockdown period. Your gateway to Web 3.0 is just one click away. Let’s innovate.” – Anndy Lian.

 

 

Source: https://cryptoslate.com/27-stats-about-nfts-in-2022-who-are-the-big-winners/

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”.

j j j