Tag Archives: ai

AI at work: How it is powering new careers in a transforming market

AI at work: How it is powering new careers in a transforming market

AI isn’t just changing jobs, it’s creating them. From coding and logistics to creative design and product innovation, millions of new roles are emerging as humans and machines collaborate. Corporate venture studios and AI-powered workflows are turning ideas into opportunities, proving that the future of work is about teaming with AI, not competing against it.

People love to spin scary tales about artificial intelligence. Machines taking over, jobs disappearing, humans left scrambling. While some roles will inevitably change or fade, this narrative misses the bigger picture. AI isn’t just a disruptor; it’s a turbo boost for the economy, creating new sectors, job types, and ways companies operate, from corporate venture studios to AI-powered workflows. At its core, AI complements human intelligence, enhancing productivity and opening opportunities for engineers, product specialists, creatives, and strategic thinkers.

The numbers back this optimism. The World Economic Forum predicts that by 2030, AI and related technologies could create 170 million new jobs globally, even if 92 million roles are displaced, netting a gain of 78 million positions. McKinseY. highlights that AI adoption will expand the demand for junior, tech-fluent talent by up to 20% in N01th America, generating 20-50 million new roles in sectors like healthcare, pharmaceuticals, and tech. Startup activity and innovation hubs in established companies are driving much of this growth.

Startups, coding, and machine learning: New career avenues

Between 2024 and 2025, AI-focused startups alone are expected to generate millions of jobs worldwide, especially in coding and machine learning. While certain traditional roles may shrink, the economy overall benefits from higher productivity, diversified outputs, and opportunities for reskilling.

AI is reshaping legacy sectors like supply chains. Automated predictions, smart routing, and invention management are creating new roles rather than eliminating them. Jobs now include AI analysts for logistics, automation specialists, human-AI team leads, and strategists managing digital workflows. By offloading repetitive tasks to AI, employees focus on strategy, problem-solving, and innovation, enhancing both productivity and work-life balance.

AI in consumer products and services

In sectors like retail, travel, and creative industries, AI is revolutionising product development, personalisation, and customer engagement. Companies such as Walmart and Expedia use AI for stock predictions and personalised user experiences, generating roles in product management, design, AI integration, ethics, and creative operations. AI doesn’t replace human judgment; it amplifies it, creating opp01tunities for innovation-driven cai·eers.

Corporate venture studios: Innovation at scale

Corporate venture studios blend big-company resources with startup agility, turning ideas into new businesses rapidly. Al accelerates this process, enabling studios to launch more ventures without bloating teams. Examples include Indosat Ooredoo Hutchison’s AI-powered energy management and Andrew Ng’s AI Fund, which helps AI-centric startups scale quickly. These setups employ coders, product managers, marketers, designers, and analysts, turning Al-enabled innovation into tangible jobs.

The human-AI partnership

The real spark comes when AI collaborates with human expertise. AI excels at analyzing data, simulating scenarios, and automating tasks, while humans provide creativity, ethics, and strategic vision. Together, they accelerate product development, improve outcomes, and foster innovation at scale. Corporate venture studios harness this partnership to generate new business models and roles, demonstrating that AI is an enabler rather than a threat.

With over 1,000 venture studios globally driving AI innovation, and AI expected to impact 86% of companies by 2030, workforce preparation is crucial. Schools and companies must train employees in AI literacy, critical thinking, creativity, and people skills. The future of work isn’t humans versus machines; it’s humans and AI collaborating to create jobs, foster innovation, and transform industries.

Conclusion: AI as opportunity, not threat

AI is no monster; it’s a catalyst for growth, job creation, and economic transformation. Venture studios and corporate innovation hubs are proving that technology combined with human ingenuity generates real, sustainable opportunities. By investing in training, collaboration, and strategic AI adoption, businesses and workers alike can thrive in this evolving landscape, building a future where human potential and machine power drive shared success.

 

 

Source:

https://hrme.economictimes.indiatimes.com/news/learning-and-development/ai-the-engine-of-job-creation-in-a-transforming-economy/124231708

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 dreams, crypto magic and shutdown realities: The contradictions fuelling today’s market rally

AI dreams, crypto magic and shutdown realities: The contradictions fuelling today’s market rally

The current macro landscape presents a fascinating juxtaposition of caution and exuberance, where geopolitical friction and fiscal paralysis coexist with a surge in risk appetite driven largely by artificial intelligence optimism and institutional crypto adoption.

At the heart of this duality lies the extended US government shutdown now in its sixth day, a development that would typically trigger risk-off behaviour across global markets. Yet investor sentiment has not only held firm but advanced, propelled by a confluence of factors that underscore a deeper structural shift in how capital allocates across traditional and digital assets.

Wall Street’s mixed performance on Monday reflects this nuanced environment. The Dow Jones Industrial Average edged lower by 0.1 per cent, signalling lingering unease among industrial and legacy sectors. In contrast, the S&P 500 climbed 0.4 per cent and the Nasdaq surged 0.7 per cent, both reaching new all-time highs. This divergence is not random. The rally in chipmakers, companies at the epicentre of AI infrastructure development, has become the primary engine of equity market gains.

Investors are betting that the AI boom is not a fleeting narrative but a multi-year secular trend, and they are positioning accordingly. This tech-led optimism has spilt over into other risk assets, including cryptocurrencies, which posted a 1.43 per cent gain over the past 24 hours, extending weekly and monthly advances of 8.76 per cent and 12.58 per cent, respectively.

Simultaneously, traditional safe-haven assets are also rallying, which at first glance seems contradictory. Gold surged 1.9 per cent to a record high of USD3961 per ounce. This move is directly tied to the US government shutdown, which has injected fresh uncertainty into the coordination of fiscal and monetary policy. With Congress unable to pass a budget, questions linger about the government’s ability to manage debt, respond to economic shocks, or even maintain consistent data reporting, all of which erode confidence in the US dollar as a stable store of value.

The US Dollar Index rose modestly by 0.4 per cent to 98.11, but this uptick appears more technical than fundamental, especially as Treasury yields climbed amid global bond market turbulence. The 10-year yield rose 3.3 basis points to 4.152 per cent, pressured by soaring long-end Japanese yields and political instability in Europe. These crosscurrents illustrate how investors are simultaneously hedging against systemic risk while pursuing growth in high-conviction themes, such as AI and digital assets.

The crypto market’s recent strength cannot be divorced from this macro backdrop. Institutional demand has emerged as the dominant force behind the rally, with spot Bitcoin ETFs recording US$627 million in inflows over a 24-hour period and Ethereum ETFs adding US$307 million. Total assets under management in Bitcoin ETFs now stand at US$161.6 billion, while Ethereum ETFs hold US$25.73 billion. These are not speculative retail bets but deliberate allocations by traditional finance players who increasingly view crypto, particularly Bitcoin, as a macro hedge akin to gold.

The correlation between crypto and gold over the past 24 hours reached 0.74, a striking signal that both assets are being used interchangeably as hedges against inflation and policy uncertainty. This institutional embrace is occurring against a backdrop of cooling inflation data and growing expectations of Federal Reserve rate cuts in 2025, which lowers the opportunity cost of holding non-yielding assets like Bitcoin and gold.

The rally is not solely driven by fundamentals. Derivatives markets are amplifying price action through a surge in leveraged activity. Perpetual futures volume spiked 53.7 per cent to US$1.71 trillion in 24 hours, with funding rates jumping 475 per cent on a weekly basis to 0.0083 per cent. Binance alone accounted for 87 per cent of Bitcoin futures taker volume, underscoring its outsized role in price discovery.

While this derivatives frenzy fuels momentum, it also introduces fragility. Open interest, though near yearly highs, declined 1.24 per cent over the past day, a potential early warning sign of profit-taking or de-leveraging. With the 14-day Relative Strength Index for Bitcoin at 73.3, the market is entering overbought territory, increasing vulnerability to sharp corrections if sentiment shifts.

Adding another layer to this dynamic is the performance of Binance ecosystem tokens, which rose 0.97 per cent in 24 hours and 8.76 per cent for the week. BNB hit an all-time high of US$1,190, supported by the exchange’s record US$2.55 trillion in monthly futures volume and the launch of new AI-powered trading tools.

Binance’s dominance, capturing 41 per cent of global spot trading, provides a sense of stability to the broader crypto market, as its operational strength reassures participants during periods of macro stress. However, this leadership masks underlying retail fatigue. Active addresses across major blockchains have declined by 57 per cent since June, suggesting that while institutions and sophisticated traders are driving volume, everyday users remain on the sidelines. This dichotomy raises questions about the sustainability of the rally if it remains confined to professional players.

Looking ahead, several key inflection points could reshape the current trajectory. The most immediate is the October 18 decision on Grayscale’s Ethereum ETF application. An approval would likely unlock another wave of institutional capital, particularly from firms that have thus far remained cautious about direct crypto exposure.

Conversely, a rejection could trigger a short-term pullback, especially if it coincides with a slowdown in ETF inflows or a reversal in tech stock momentum. The Nasdaq’s performance remains critical, given the 0.72 correlation between crypto and the tech-heavy index. Should volatility return to US equities, perhaps triggered by renewed inflation concerns or a deeper fiscal crisis, the crypto market may struggle to decouple.

In sum, today’s market moves reflect a delicate balance between fear and greed, where institutional confidence in digital assets as a legitimate macro hedge is colliding with leveraged speculation and geopolitical uncertainty. The US government shutdown, rather than derailing risk appetite, has reinforced the case for alternative stores of value.

The very forces driving gains, ETF inflows, derivatives leverage, and exchange dominance, also create conditions for heightened volatility. As we navigate this complex environment, the interplay between traditional macro drivers and crypto-specific catalysts will determine whether this rally evolves into a sustained bull market or unravels under the weight of its own momentum.

For now, the data suggests that institutional adoption has fundamentally altered crypto’s role in the global financial system, transforming it from a fringe asset into a core component of modern portfolio construction.

 

Source: https://e27.co/ai-dreams-crypto-magic-and-shutdown-realities-the-contradictions-fuelling-todays-market-rally-20251007/

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

8 Ways Blockchain Can Revolutionize IP Licensing for AI Firms

8 Ways Blockchain Can Revolutionize IP Licensing for AI Firms

Generative AI, with its ability to create text, images, audio, and other forms of content, has ushered in a new era of technological innovation. It also faces a severe intellectual property (IP) licensing crisis. Generative AI firms often struggle with copyright infringement risks and unauthorized data usage issues due to opaque and inefficient traditional licensing systems, which pose significant legal and ethical challenges. As blockchain technology continues to evolve, it offers a promising solution to address the IP licensing dilemmas of generative AI firms. Below is a detailed exploration of this topic in my perspective.

The IP Crisis in Generative AI

Generative AI systems require vast amounts of data for training, often sourcing it from platforms like the internet. A significant portion of this data is protected by IP rights, and the data usage permissions are often unclear. Generative AI algorithms analyze massive volumes of unstructured data, such as news articles and images, to identify patterns and relationships. During this process, details like IP rights and compensation terms are frequently overlooked, raising concerns among content creators. The Getty Images lawsuit against Stability AI is a prime example. In 2023, Getty Images filed a case against Stability AI of unlawfully copying and processing millions of copyrighted images to train its software for commercial gain, seeking up to $1.8 trillion in damages.

The traditional IP licensing system worsens these issues. It is often opaque, inefficient, and lacks transparency. For instance, creators may struggle to track how their works are used by generative AI firms and whether they receive fair compensation. Meanwhile, AI firms may inadvertently infringe on IP rights due to complex and lengthy licensing procedures, leading to legal disputes. I was at a conference early this year and I remember the speaker said that over 60% of generative AI firms have encountered IP licensing-related challenges, with 30% facing legal lawsuits. If this is true, someone or some tech got to try to fix this. The first thing I can think of would be “blockchain”.

Blockchain’s Core Strengths

Blockchain technology, characterized by decentralization, security, and transparency, can effectively address the inefficiencies and trust deficits in current IP licensing models. Blockchain operates as a distributed ledger where all transaction records are stored across multiple nodes, making data tamper-proof and immutable. This ensures the authenticity and traceability of IP ownership and usage rights. Additionally, blockchain employs advanced cryptographic techniques to protect data security, preventing unauthorized access and tampering.

Smart contracts, a key feature of blockchain, enable the automation of licensing agreements. Once predefined conditions are met, smart contracts automatically execute the terms of the agreement, reducing reliance on intermediaries and minimizing human intervention. This ensures the objectivity and fairness of the licensing process while lowering administrative costs.

Blockchain Solutions for Generative AI’s IP Licensing Issues

1. Smart Contracts for Automated Licensing

Blockchain-based smart contracts can automate licensing agreements, ensuring that creators are promptly and fairly compensated while helping AI firms easily comply with licensing requirements. For example, when a photographer’s image is used in generative AI training, a smart contract can automatically trigger a payment to the photographer once the image is accessed. This eliminates the need for lengthy negotiations and manual payments, reducing costs and improving efficiency. Based on my observations, smart contracts could probably reduce IP licensing costs by 30%–50% while enhancing transparency and fairness. This is a win-win scenario.

2. Immutable Provenance for Ownership Clarity

Blockchain’s immutable ledger permanently records data ownership and licensing history, providing a reliable basis for resolving IP disputes. Each piece of data on the blockchain carries a unique digital signature and timestamp, making it easy to trace its origin and usage history. This prevents unauthorized use and infringement, protecting creators’ rights. For instance, when a dataset is licensed to a generative AI firm, the blockchain records every detail of the licensing process, including the licensing party, terms, and duration. Any unauthorized use of the dataset can be quickly identified and addressed.

3. Decentralized Marketplaces for Cost Reduction

Blockchain enables the creation of decentralized IP licensing marketplaces where creators and AI firms can directly engage in peer-to-peer transactions, bypassing intermediaries and reducing costs. Traditional licensing often involves multiple middlemen, such as licensing agencies and law firms, which increases costs and complexity. On a blockchain-based decentralized marketplace, creators can directly publish and license their works, while AI firms can browse and purchase licenses based on their needs. This not only reduces licensing costs but also increases revenue for creators. For example, there are decentralized data marketplaces that allow data owners to control access to their data and receive compensation.

4. Enhanced Security Against Fraud

Blockchain’s cryptographic security mechanisms ensure the integrity and authenticity of licensing records, preventing fraud. All licensing information on the blockchain is encrypted and verified by multiple nodes, making it nearly impossible to forge or tamper with. This protects both creators and AI firms from false claims and ensures the reliability of each transaction. Another example that I would like to quote-  fake licenses cannot be validated on the blockchain, preventing AI firms from suffering losses due to fraudulent licenses and safeguarding creators’ rights.

5. Transparency to Build Accountability

The open and transparent nature of blockchain makes all licensing transactions visible to all parties, fostering trust and simplifying compliance for AI firms and regulators. Creators can track the usage of their works in real time, while AI firms can demonstrate compliance with licensing agreements to regulators and the public. This transparency helps build trust between creators and AI firms, fostering collaboration. Take the European Union’s Artificial Intelligence Act for instance, which took initial effect in August 2024, requires generative AI models to disclose the copyrighted works used during training. A blockchain-based platform could provide detailed records of training data sources and usage, helping AI firms meet regulatory requirements.

6. Tokenization for Flexible Licensing

Through tokenization, blockchain can transform IP assets into digital tokens, enabling flexible and scalable licensing models. Creators can issue tokens representing the usage rights to their works and sell them on blockchain platforms. AI firms can purchase the tokens they need based on their requirements. This not only provides creators with new revenue streams but also offers AI firms greater flexibility in accessing data. A musician could tokenize the licensing rights to their songs and sell them to generative AI firms. These firms could then use the songs to train music generation models while paying the musician via token-based payments.

7. Global Scalability and Compliance

Blockchain technology operates across borders, enabling generative AI firms to manage IP licensing on a global scale while complying with international regulations. Different countries have varying IP laws and regulations, making cross-border licensing complex. Blockchain’s standardized protocols and rules can simplify cross-border licensing processes, reduce legal risks, and facilitate global collaboration. Blockchain platforms could manage datasets licensed from multiple countries, ensuring compliance with each country’s IP laws while streamlining licensing procedures.

8. Future-Proofing for AI’s Evolution

Blockchain’s adaptability allows it to address emerging IP challenges as generative AI evolves, offering a long-term solution. As generative AI technologies advance, new IP issues may arise, such as ownership disputes over AI-generated content. Blockchain’s smart contracts and decentralized architecture can evolve to meet these new challenges. Future smart contracts could define usage rights and revenue-sharing mechanisms for AI-generated content, ensuring fair compensation for all stakeholders.

Existing Challenges and Prospects

Despite blockchain’s potential to resolve generative AI’s IP licensing issues, several challenges remain. First, technical barriers need to be overcome. Blockchain technology is still evolving, and its integration with generative AI systems requires significant technical effort. Achieving real-time tracking and recording of data usage in generative AI training while ensuring blockchain performance and scalability is a complex technical challenge.

Second, regulatory uncertainty persists. The legal status of blockchain-based IP licensing and the regulatory requirements for smart contracts remain unclear in many countries. This creates uncertainty for both creators and AI firms. Third, market adoption is slow. Transitioning from traditional licensing models to blockchain-based ones requires time and effort. Both creators and AI firms need to adapt to new technologies and processes, and the market requires time to mature.

In my view, the future prospects are promising. As blockchain technology matures and regulatory frameworks gradually improve, its application in generative AI IP licensing is likely to expand. More creators and AI firms will recognize the benefits of blockchain and adopt it for IP licensing. It could become the standard solution for addressing IP licensing issues in generative AI, driving the healthy development of the generative AI industry.

In conclusion, generative AI firms face a severe IP licensing crisis, while blockchain technology offers a powerful solution. By leveraging blockchain’s decentralization, security, transparency, and smart contracts, among other features, generative AI firms can address IP licensing challenges, protect creators’ rights, and achieve sustainable development. Although challenges remain in areas like technology, regulation, and market adoption, with ongoing advancements in blockchain technology and increased collaboration among stakeholders, blockchain is expected to play an increasingly significant role in resolving generative AI’s IP licensing issues. It will pave the way for the healthy growth of the generative AI industry and foster innovation and development in the digital economy era.

 

Source: https://www.securities.io/8-ways-blockchain-can-revolutionize-ip-licensing-for-ai-firms/

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