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Despite the growing hype around artificial intelligence, new research suggests that global adoption remains at a surprisingly early stage.

According to data shared on X by Damian Player, CEO of AI Native Dev Studio, approximately 84% of the world’s population has never used any AI tools such as ChatGPT or Claude.

That leaves only 16% of people worldwide using free versions of generative AI, while paid adoption is even smaller.

Paid AI Adoption Remains Niche

The data indicates that less than 0.3% of the global population — around 15 to 25 million people — pay around $20 per month for basic AI subscriptions.

Even more striking, only 2 to 5 million users globally (under 0.04%) actively use advanced coding scaffolds or development-focused AI tools.

The gap between free and paid subscriptions remains substantial, with premium tiers typically offering stronger reasoning models, larger context windows, and workflow automation features. Yet the overwhelming majority of users have not crossed that threshold.

“AI Bubble” vs. Global Reality

Within technology-focused ecosystems such as crypto and AI-native communities, adoption appears far more advanced.

Professionals in these circles increasingly use AI to: – Automate repetitive workflows – Save 2–3 hours daily on operational tasks – Structure content calendars and research pipelines – Build custom AI assistants for internal use

However, the global numbers tell a different story: mainstream penetration remains limited.

Recent commentary comparing AI adoption to early internet and smartphone growth cycles suggests that the industry may still be in its infrastructure phase rather than its mass-market moment.

U.S. Business Adoption Also Lags

Separate data shared by Noah Epstein highlights the gap on the enterprise side.

According to figures from the United States Census Bureau, which tracks AI usage across approximately 1.2 million businesses, only 18.2% of American companies currently use AI in any business function. This marks a sharp rise from 3.7% in late 2023, indicating rapid growth — but also showing that more than four out of five businesses have yet to adopt AI tools in a meaningful way.

Other industry surveys paint a similar picture. While consulting estimates — including those from McKinsey & Company — suggest that up to 78% of organizations report “using AI in at least one function,” only 27% have scaled implementation beyond pilot programs. In many cases, adoption remains limited to isolated experiments rather than full operational integration.

Structural Upside for the Industry

The data suggests that despite record investment flows, new AI product launches, and growing media attention around automation and job displacement, global AI adoption remains low relative to total addressable markets.

If current growth rates continue — particularly in enterprise environments — the sector may be positioned for a prolonged expansion phase similar to early internet adoption curves.

For now, the numbers indicate that artificial intelligence remains a rapidly expanding but still nascent layer of the global economy — with the majority of individuals and businesses yet to integrate it into daily operations.

Bitcoin treasury company Strategy, led by executive chairman Michael Saylor, has acquired an additional 592 BTC worth approximately $40 million, according to data published on the company’s official website.

The latest purchase forms part of a whole accumulation streak. Over the past week alone, Strategy acquired 4,220 BTC, at average prices ranging between $67,000 and $78,000 per bitcoin.

Total Holdings Reach 717,722 BTC

As of February 22, 2026, Strategy holds 717,722 BTC, acquired for approximately $54.56 billion at an average purchase price of $76,020 per bitcoin, according to the company’s disclosure.

The announcement also marks a milestone: Strategy has now completed its 100th Bitcoin purchase, underscoring its long-term treasury commitment to the digital asset.

Despite recent market weakness — including Bitcoin dipping below $65,000 and users concerns about a potential bear market phase — Strategy continues to accumulate.

In a public statement shared on social media, the company wrote:

“As of 2/22/2026, we hodl 717,722 $BTC acquired for ~$54.56 billion at ~$76,020 per bitcoin.”

A Treasury Strategy Built Around Bitcoin

Formerly known as MicroStrategy, the company rebranded to Strategy as its Bitcoin-centric identity increasingly defined its corporate profile.

Under Saylor’s leadership, Strategy has adopted an aggressive treasury model that involves:

– Raising capital through equity offerings and debt issuance – Allocating substantial portions of its balance sheet to Bitcoin – Treating BTC as a long-term, non-yielding strategic reserve asset

Rather than trading Bitcoin tactically, Strategy positions its holdings as a long-duration store of value, often purchasing during both upward and downward market cycles.

Institutional Conviction Amid Volatility

The continued accumulation comes at a time when market sentiment remains cautious. Bitcoin has faced renewed volatility, and some analysts have pointed to early signs of a potential bear-market transition.

However, Strategy’s approach reflects a conviction-driven allocation model rather than short-term price sensitivity.

With over 717,000 BTC under custody, Strategy remains the largest publicly traded corporate holder of Bitcoin globally, reinforcing its position as one of the most prominent institutional backers of the asset.

Bitcoin treasury company Strategy, led by executive chairman Michael Saylor, has acquired an additional 592 BTC worth approximately $40 million, according to data published on the company’s official website.

The latest purchase forms part of a whole accumulation streak. Over the past week alone, Strategy acquired 4,220 BTC, at average prices ranging between $67,000 and $78,000 per bitcoin.

Total Holdings Reach 717,722 BTC

As of February 22, 2026, Strategy holds 717,722 BTC, acquired for approximately $54.56 billion at an average purchase price of $76,020 per bitcoin, according to the company’s disclosure.

The announcement also marks a milestone: Strategy has now completed its 100th Bitcoin purchase, underscoring its long-term treasury commitment to the digital asset.

Despite recent market weakness — including Bitcoin dipping below $65,000 and users concerns about a potential bear market phase — Strategy continues to accumulate.

In a public statement shared on social media, the company wrote:

“As of 2/22/2026, we hodl 717,722 $BTC acquired for ~$54.56 billion at ~$76,020 per bitcoin.”

A Treasury Strategy Built Around Bitcoin

Formerly known as MicroStrategy, the company rebranded to Strategy as its Bitcoin-centric identity increasingly defined its corporate profile.

Under Saylor’s leadership, Strategy has adopted an aggressive treasury model that involves:

– Raising capital through equity offerings and debt issuance
– Allocating substantial portions of its balance sheet to Bitcoin
– Treating BTC as a long-term, non-yielding strategic reserve asset

Rather than trading Bitcoin tactically, Strategy positions its holdings as a long-duration store of value, often purchasing during both upward and downward market cycles.

Institutional Conviction Amid Volatility

The continued accumulation comes at a time when market sentiment remains cautious. Bitcoin has faced renewed volatility, and some analysts have pointed to early signs of a potential bear-market transition.

However, Strategy’s approach reflects a conviction-driven allocation model rather than short-term price sensitivity.

With over 717,000 BTC under custody, Strategy remains the largest publicly traded corporate holder of Bitcoin globally, reinforcing its position as one of the most prominent institutional backers of the asset.

Despite the growing hype around artificial intelligence, new research suggests that global adoption remains at a surprisingly early stage.

According to data shared on X by Damian Player, CEO of AI Native Dev Studio, approximately 84% of the world’s population has never used any AI tools such as ChatGPT or Claude.

That leaves only 16% of people worldwide using free versions of generative AI, while paid adoption is even smaller.

Paid AI Adoption Remains Niche

The data indicates that less than 0.3% of the global population — around 15 to 25 million people — pay around $20 per month for basic AI subscriptions.

Even more striking, only 2 to 5 million users globally (under 0.04%) actively use advanced coding scaffolds or development-focused AI tools.

The gap between free and paid subscriptions remains substantial, with premium tiers typically offering stronger reasoning models, larger context windows, and workflow automation features. Yet the overwhelming majority of users have not crossed that threshold.

“AI Bubble” vs. Global Reality

Within technology-focused ecosystems such as crypto and AI-native communities, adoption appears far more advanced.

Professionals in these circles increasingly use AI to:
– Automate repetitive workflows
– Save 2–3 hours daily on operational tasks
– Structure content calendars and research pipelines
– Build custom AI assistants for internal use

However, the global numbers tell a different story: mainstream penetration remains limited.

Recent commentary comparing AI adoption to early internet and smartphone growth cycles suggests that the industry may still be in its infrastructure phase rather than its mass-market moment.

U.S. Business Adoption Also Lags

Separate data shared by Noah Epstein highlights the gap on the enterprise side.

According to figures from the United States Census Bureau, which tracks AI usage across approximately 1.2 million businesses, only 18.2% of American companies currently use AI in any business function. This marks a sharp rise from 3.7% in late 2023, indicating rapid growth — but also showing that more than four out of five businesses have yet to adopt AI tools in a meaningful way.

Other industry surveys paint a similar picture. While consulting estimates — including those from McKinsey & Company — suggest that up to 78% of organizations report “using AI in at least one function,” only 27% have scaled implementation beyond pilot programs. In many cases, adoption remains limited to isolated experiments rather than full operational integration.

Structural Upside for the Industry

The data suggests that despite record investment flows, new AI product launches, and growing media attention around automation and job displacement, global AI adoption remains low relative to total addressable markets.

If current growth rates continue — particularly in enterprise environments — the sector may be positioned for a prolonged expansion phase similar to early internet adoption curves.

For now, the numbers indicate that artificial intelligence remains a rapidly expanding but still nascent layer of the global economy — with the majority of individuals and businesses yet to integrate it into daily operations.

The Bitcoin Lightning Network has recorded a new all-time high in transaction volume, with more than $1.17 billion processed in November 2025 alone.

The milestone signals a structural shift in how users interact with Bitcoin — not just as a store of value, but increasingly as a medium for everyday payments.

River Report Highlights Growth

Bitcoin-focused financial firm River released a fresh report outlining the current state of the Lightning Network. According to the data, approximately $1.1 billion in transactions moved through the Layer 2 network in November, across roughly 5.2 million individual payments.

The figures were presented by Sam Wouters, who leads marketing at River.

While November set a record in dollar volume, transaction count has not yet surpassed previous peaks. In August 2023, Lightning processed up to 6.6 million transactions in a single month — still the highest monthly total by number of payments.

River attributes that earlier spike to widespread experimentation with micropayments, particularly in gaming platforms and messaging applications.

From Experiment to Infrastructure

The Lightning Network was designed to address Bitcoin’s scalability limitations. On the base layer, block confirmations take around 10 minutes on average, making small or instant payments impractical.

Lightning solves this by enabling off-chain payment channels. Users can transact almost instantly with minimal fees, while final settlement is anchored to the Bitcoin blockchain later.

This architecture makes the network well-suited for:

– Micropayments – Point-of-sale transactions – Cross-border transfers

What Is the Bitcoin Lightning Network?

The Lightning Network is a Layer 2 payment protocol built on top of Bitcoin. It allows participants to open off-chain channels and conduct high-frequency transactions without congesting the main chain.

Its growth has been supported by integrations from payment companies such as Strike and Cash App, as well as increasing adoption for small-scale, real-world payments.

With monthly volume now exceeding $1.17 billion, Lightning is increasingly viewed as operational payment infrastructure rather than a niche technical experiment.

The Bitcoin Lightning Network has recorded a new all-time high in transaction volume, with more than $1.17 billion processed in November 2025 alone.

The milestone signals a structural shift in how users interact with Bitcoin — not just as a store of value, but increasingly as a medium for everyday payments.

River Report Highlights Growth

Bitcoin-focused financial firm River released a fresh report outlining the current state of the Lightning Network. According to the data, approximately $1.1 billion in transactions moved through the Layer 2 network in November, across roughly 5.2 million individual payments.

The figures were presented by Sam Wouters, who leads marketing at River.

While November set a record in dollar volume, transaction count has not yet surpassed previous peaks. In August 2023, Lightning processed up to 6.6 million transactions in a single month — still the highest monthly total by number of payments.

River attributes that earlier spike to widespread experimentation with micropayments, particularly in gaming platforms and messaging applications.

From Experiment to Infrastructure

The Lightning Network was designed to address Bitcoin’s scalability limitations. On the base layer, block confirmations take around 10 minutes on average, making small or instant payments impractical.

Lightning solves this by enabling off-chain payment channels. Users can transact almost instantly with minimal fees, while final settlement is anchored to the Bitcoin blockchain later.

This architecture makes the network well-suited for:

– Micropayments
– Point-of-sale transactions
– Cross-border transfers

What Is the Bitcoin Lightning Network?

The Lightning Network is a Layer 2 payment protocol built on top of Bitcoin. It allows participants to open off-chain channels and conduct high-frequency transactions without congesting the main chain.

Its growth has been supported by integrations from payment companies such as Strike and Cash App, as well as increasing adoption for small-scale, real-world payments.

With monthly volume now exceeding $1.17 billion, Lightning is increasingly viewed as operational payment infrastructure rather than a niche technical experiment.

Ethereum co-founder Vitalik Buterin has taken a $148,000 position on Polymarket, betting that the United States will not officially confirm the existence of aliens before 2027.

The position is placed on “NO” and would generate around $16,000 in profit if no disclosure happens within the specified timeframe.

The move comes shortly after U.S. President Donald Trump said he was directing federal agencies to begin releasing classified files related to unidentified aerial phenomena and extraterrestrial life.

Trump Orders UFO File Release

In a post on Truth Social, Trump wrote that, “based on the tremendous interest shown,” he would instruct Defense Secretary Pete Hegseth and other relevant officials to begin the process of identifying and releasing government files related to:

– alien and extraterrestrial life – unidentified aerial phenomena (UAP) – unidentified flying objects (UFOs) – and related materials

Following the announcement, Polymarket odds on official alien confirmation surged from 12% to 28%, according to traders tracking the market.

For prediction market participants, the political headline translated directly into volatility.

Buterin’s Polymarket Strategy

Buterin is known to actively trade on Polymarket, often focusing on political and geopolitical events tied to the U.S., Donald Trump, and the Russia–Ukraine war.

In an interview with Foresight News on Jan. 28, the Ethereum founder explained his approach to prediction markets. His strategy reportedly generated over $75,000 in profit last year on a $440,000 deposit.

“I look for markets that have entered ‘frenzy mode’ and bet that the crazy thing won’t happen.”

His current alien-related position appears to align with that thesis: when public attention spikes and odds move sharply, he positions against the hype.

Track Record on Similar Trades

According to traders analyzing his past activity:

– 2024: Bet $52,000, profit $1,500 – 2025: Bet $25,000, profit $2,700

Now, he has scaled the strategy with a $148,000 exposure targeting a $16,000 payout.

Some market participants speculate whether he could increase the position if odds continue to rise following additional government statements.

Aliens as Tradable Assets

While niche, alien disclosure markets have maintained a steady following on prediction platforms. Political catalysts often trigger sudden liquidity inflows.

The whole prediction market sector has seen rapid expansion in early 2026. Daily trading volumes recently reached between $700 million and $800 million. In 2025, annual volumes approached $28 billion, with platforms like Polymarket and Kalshi leading activity.

For traders betting on alien disclosure, Trump’s directive may signal opportunity. For Buterin, it appears to be another calculated bet against public euphoria.

Ethereum co-founder Vitalik Buterin has taken a $148,000 position on Polymarket, betting that the United States will not officially confirm the existence of aliens before 2027.

The position is placed on “NO” and would generate around $16,000 in profit if no disclosure happens within the specified timeframe.

The move comes shortly after U.S. President Donald Trump said he was directing federal agencies to begin releasing classified files related to unidentified aerial phenomena and extraterrestrial life.

Trump Orders UFO File Release

In a post on Truth Social, Trump wrote that, “based on the tremendous interest shown,” he would instruct Defense Secretary Pete Hegseth and other relevant officials to begin the process of identifying and releasing government files related to:

– alien and extraterrestrial life
– unidentified aerial phenomena (UAP)
– unidentified flying objects (UFOs)
– and related materials

Following the announcement, Polymarket odds on official alien confirmation surged from 12% to 28%, according to traders tracking the market.

For prediction market participants, the political headline translated directly into volatility.

Buterin’s Polymarket Strategy

Buterin is known to actively trade on Polymarket, often focusing on political and geopolitical events tied to the U.S., Donald Trump, and the Russia–Ukraine war.

In an interview with Foresight News on Jan. 28, the Ethereum founder explained his approach to prediction markets. His strategy reportedly generated over $75,000 in profit last year on a $440,000 deposit.

“I look for markets that have entered ‘frenzy mode’ and bet that the crazy thing won’t happen.”

His current alien-related position appears to align with that thesis: when public attention spikes and odds move sharply, he positions against the hype.

Track Record on Similar Trades

According to traders analyzing his past activity:

– 2024: Bet $52,000, profit $1,500
– 2025: Bet $25,000, profit $2,700

Now, he has scaled the strategy with a $148,000 exposure targeting a $16,000 payout.

Some market participants speculate whether he could increase the position if odds continue to rise following additional government statements.

Aliens as Tradable Assets

While niche, alien disclosure markets have maintained a steady following on prediction platforms. Political catalysts often trigger sudden liquidity inflows.

The whole prediction market sector has seen rapid expansion in early 2026. Daily trading volumes recently reached between $700 million and $800 million. In 2025, annual volumes approached $28 billion, with platforms like Polymarket and Kalshi leading activity.

For traders betting on alien disclosure, Trump’s directive may signal opportunity. For Buterin, it appears to be another calculated bet against public euphoria.

South Korean prosecutors have recovered approximately 321 BTC, valued at around $21 million, that was stolen from government custody in 2025. The funds were returned after authorities restricted the movement of the assets through centralized exchanges, according to local outlet Digital Asset.

Phishing Attack Led to Loss of Seized Bitcoin

The incident dates back to August 2025, when bitcoin previously confiscated during a raid on an illegal gambling platform was compromised. The Gwangju District Prosecutors’ Office later determined that investigators had mistakenly entered recovery seed phrases on a phishing website, enabling the attacker to access the wallet.

The loss was identified in December 2025 during an internal review of seized digital assets. Authorities did not publicly disclose the breach at the time of the theft.

Exchange Restrictions Pressured Return of Funds

On Tuesday, 320.8 BTC were transferred back to a wallet controlled by prosecutors, Digital Asset reported. Officials said they had taken steps to block transactions involving the hacker’s wallet on centralized exchanges, limiting the ability to convert the bitcoin into fiat currency or other digital assets.

Prosecutors stated that the identity of the individual responsible remains unknown.

The case has triggered a comprehensive review of how investigative agencies manage confiscated digital assets. Separately, authorities recently disclosed that Seoul’s Gangnam Police Station has been unable to account for 22 BTC held in cold storage since 2021.

Global Google searches for the phrase “Bitcoin going to zero” have reached their highest level since the collapse of FTX in November 2022, according to Google Trends data.

The spike comes as Bitcoin trades nearly 50% below its all-time high, amid heightened macroeconomic and geopolitical uncertainty.

Search Spike Mirrors 2022 Bear Market Conditions

Google Trends recorded a peak interest score of 100 for the query on February 13. The last time search interest reached comparable levels was during the FTX bankruptcy, which coincided with the lowest point of the 2022 bear market.

Historically, extreme retail pessimism has coincided with late-stage bear market conditions. Google search activity is often monitored as a proxy for retail sentiment, extending beyond crypto-native participants to mainstream investors.

Periods of declining retail attention have previously aligned with market bottoms or transitional phases in market cycles.

On-Chain Data Shows Demand Exhaustion and Capital Outflows

Glassnode analysts noted that since early February, Bitcoin has repeatedly failed to reclaim the $70,000 level. According to the firm, even net realized profits exceeding $5 million per hour have triggered selling pressure and price rejection.

This contrasts with the third quarter of 2025, when profit realization ranged between $200 million and $350 million per hour during a period of stronger market momentum.

Glassnode added that current thin liquidity conditions make a sustained move into the $70,000–$80,000 range structurally challenging.

Meanwhile, exchange-traded fund flows have shifted back into consistent net outflows, reducing a key source of institutional demand. Aggregate 30-day realized cap flows have also turned sharply negative, marking one of the deepest capital outflow periods since the 2022 bear market.

Bitcoin and Ethereum net position changes have moved decisively lower, while stablecoin supply growth remains near neutral levels.

The combination of elevated retail pessimism, weakening on-chain demand metrics, and institutional outflows reflects a market environment characterized by reduced risk appetite. Whether this represents late-stage capitulation or the early phase of deeper downside remains uncertain.

Global Google searches for the phrase “Bitcoin going to zero” have reached their highest level since the collapse of FTX in November 2022, according to Google Trends data.

The spike comes as Bitcoin trades nearly 50% below its all-time high, amid heightened macroeconomic and geopolitical uncertainty.

Search Spike Mirrors 2022 Bear Market Conditions

Google Trends recorded a peak interest score of 100 for the query on February 13. The last time search interest reached comparable levels was during the FTX bankruptcy, which coincided with the lowest point of the 2022 bear market.

Historically, extreme retail pessimism has coincided with late-stage bear market conditions. Google search activity is often monitored as a proxy for retail sentiment, extending beyond crypto-native participants to mainstream investors.

Periods of declining retail attention have previously aligned with market bottoms or transitional phases in market cycles.

On-Chain Data Shows Demand Exhaustion and Capital Outflows

Glassnode analysts noted that since early February, Bitcoin has repeatedly failed to reclaim the $70,000 level. According to the firm, even net realized profits exceeding $5 million per hour have triggered selling pressure and price rejection.

This contrasts with the third quarter of 2025, when profit realization ranged between $200 million and $350 million per hour during a period of stronger market momentum.

Glassnode added that current thin liquidity conditions make a sustained move into the $70,000–$80,000 range structurally challenging.

Meanwhile, exchange-traded fund flows have shifted back into consistent net outflows, reducing a key source of institutional demand. Aggregate 30-day realized cap flows have also turned sharply negative, marking one of the deepest capital outflow periods since the 2022 bear market.

Bitcoin and Ethereum net position changes have moved decisively lower, while stablecoin supply growth remains near neutral levels.

The combination of elevated retail pessimism, weakening on-chain demand metrics, and institutional outflows reflects a market environment characterized by reduced risk appetite. Whether this represents late-stage capitulation or the early phase of deeper downside remains uncertain.

South Korean prosecutors have recovered approximately 321 BTC, valued at around $21 million, that was stolen from government custody in 2025. The funds were returned after authorities restricted the movement of the assets through centralized exchanges, according to local outlet Digital Asset.

Phishing Attack Led to Loss of Seized Bitcoin

The incident dates back to August 2025, when bitcoin previously confiscated during a raid on an illegal gambling platform was compromised. The Gwangju District Prosecutors’ Office later determined that investigators had mistakenly entered recovery seed phrases on a phishing website, enabling the attacker to access the wallet.

The loss was identified in December 2025 during an internal review of seized digital assets. Authorities did not publicly disclose the breach at the time of the theft.

Exchange Restrictions Pressured Return of Funds

On Tuesday, 320.8 BTC were transferred back to a wallet controlled by prosecutors, Digital Asset reported. Officials said they had taken steps to block transactions involving the hacker’s wallet on centralized exchanges, limiting the ability to convert the bitcoin into fiat currency or other digital assets.

Prosecutors stated that the identity of the individual responsible remains unknown.

The case has triggered a comprehensive review of how investigative agencies manage confiscated digital assets. Separately, authorities recently disclosed that Seoul’s Gangnam Police Station has been unable to account for 22 BTC held in cold storage since 2021.

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During EMTECH INVEST Davos 2026, hosted at the iconic Grand Hotel Belvédère and Mountain Plaza Hotel, we brought together investors, policymakers, scientists, and technology leaders to address a fundamental question:

Is artificial intelligence merely optimizing the present — or is it capable of expanding the future?

On January 21, within our flagship program Technology, AI & Digital Compliance, this question crystallized during the keynote titled:

“Creating Abundance and Avoiding the Zero-Sum Trap: Prioritising Creation over Reduction for Responsible AI.”

The keynote was delivered by Yuval Dvir, Senior Advisor at SandboxAQ — a global technology strategist who previously helped architect large-scale product ecosystems at Google and now works at the intersection of AI and quantum technologies.

What made this moment particularly powerful was not simply the technological argument — it was the strategic reframing of AI’s role in the global economy. Yuval challenged the prevailing narrative that celebrates efficiency as the ultimate goal. Instead, he invited us to consider whether AI should be judged not by how many costs it cuts, but by how much new value it enables.

Below, we publish his article in full, as presented, without edits.

Creating Abundance and Avoiding the Zero-Sum Trap: Prioritizing Creation over Reduction for a Responsible AI

By Yuval Dvir

The current wave of Large Language Models (LLMs) has been an extraordinary success, progressing with a speed that has transformed how we communicate and process information. Driven by human curiosity and fueled by the capitalist engine that funded it, this era has provided the essential ecosystem – infrastructure, data, compute, and investment – required for the next leap in intelligence.

However, we must recognize that this wave has been overwhelmingly leveraged for efficiency and cost reduction. While this has increased shareholder value, it may create a zero-sum trap where AI’s gain comes at a cost by failing to grow the economic pie for the wider workforce. To build a truly responsible and sustainable future, we must pivot from reduction to creation.

Beyond the Artificial Silos of Human Cognition

For centuries, we have approached the universe through a lens of fragmentation, dividing the natural world into silos like Biology, Physics, and Chemistry. These are not inherent properties of the universe but a reductionary approach, due in part to a biological coping mechanism. Because the human brain cannot process the staggering complexity of reality in its entirety, we created these artificial blocks to reduce our cognitive load. Whether our biological brain can be upgraded to manage such complexity is a discussion for another time.

The universe, however, does not know where chemistry ends and biology begins. It operates in a singular, harmonious continuity governed not by human words, but by the mathematical laws that underpin it. This convergence is sometimes referred to as singularity by some or a root node by others. Our current focus with LLMs is the ultimate expression of this human limitation. LLMs are trained on words – human constructs designed to approximate a reality we can only partially perceive. As Meta’s Chief AI Scientist Yann LeCun argues, these models lack an understanding of the underlying physical reality.

The LQM: Exploring New Sciences and Interpreting “Unknown Sciences”

Responsible AI growth must transcend linguistics. The next frontier is the Large Quantitative

Creating Abundance and Avoiding the Zero-Sum Trap: Prioritizing Creation over Reduction for a Responsible AI

By Yuval Dvir

The current wave of Large Language Models (LLMs) has been an extraordinary success, progressing with a speed that has transformed how we communicate and process information. Driven by human curiosity and fueled by the capitalist engine that funded it, this era has provided the essential ecosystem – infrastructure, data, compute, and investment – required for the next leap in intelligence.

However, we must recognize that this wave has been overwhelmingly leveraged for efficiency and cost reduction. While this has increased shareholder value, it may create a zero-sum trap where AI’s gain comes at a cost by failing to grow the economic pie for the wider workforce. To build a truly responsible and sustainable future, we must pivot from reduction to creation.

Beyond the Artificial Silos of Human Cognition

For centuries, we have approached the universe through a lens of fragmentation, dividing the natural world into silos like Biology, Physics, and Chemistry. These are not inherent properties of the universe but a reductionary approach, due in part to a biological coping mechanism. Because the human brain cannot process the staggering complexity of reality in its entirety, we created these artificial blocks to reduce our cognitive load. Whether our biological brain can be upgraded to manage such complexity is a discussion for another time.

The universe, however, does not know where chemistry ends and biology begins. It operates in a singular, harmonious continuity governed not by human words, but by the mathematical laws that underpin it. This convergence is sometimes referred to as singularity by some or a root node by others. Our current focus with LLMs is the ultimate expression of this human limitation. LLMs are trained on words – human constructs designed to approximate a reality we can only partially perceive. As Meta’s Chief AI Scientist Yann LeCun argues, these models lack an understanding of the underlying physical reality.

The LQM: Exploring New Sciences and Interpreting “Unknown Sciences”

Responsible AI growth must transcend linguistics. The next frontier is the Large Quantitative

Model (LQM), rooted in the governing laws of science rather than patterns of human text.

Unlike an LLM, an LQM is not bound by the artificial blocks of human disciplines. By training models on fundamental mathematical constants and physical laws — the true “source code” of the universe — we enable AI to detect patterns we are biologically incapable of perceiving. We can create in-silico simulations that generate entirely new datasets not available on the internet. This may accelerate existing sciences — discovering new materials, speeding drug discovery, advancing battery chemistry — but more importantly, it opens the door to “Unknown Sciences,” the vast territories between and beyond our current fragmented silos.

LQMs can flip the zero-sum dynamic by moving from wealth extraction to wealth creation. Additional models can branch from these foundational systems, while LLMs continue to serve as the linguistic interface between humans and the world around them.

This shift transitions us from an economy of Reduction — doing the same more efficiently — to an economy of Creation, discovering what we did not yet know was possible. By exploring intersections between disciplines, we unlock what is known as the Medici effect: bursts of innovation born at the convergence of ideas. From theoretical mathematics to physical reality, new industries emerge — along with new jobs and professions. Just as the digital era created the data scientist, the era of New Sciences may require simulation architects and molecular designers.

To deliver AI that creates jobs rather than removes them, leaders must adopt a framework that prioritizes creation over reduction:

Invest in the Discovery Engine by allocating capital toward LQMs capable of navigating the mathematical substrate of the physical world and catalyzing exploration beyond current limits.

Resist short-termism. Capitalism is a powerful engine for scale, but it must fuel frontier exploration — not merely automation of the existing.

Commit to human-centered augmentation. As Dr. Fei-Fei Li emphasizes, the goal is not replacement but empowerment. By using AI to tackle complex problems, we equip humanity to perceive the universe as it truly is — interconnected and unified, from atoms to galaxies.

The current wave of AI gave us tools to communicate. The next wave may give us the power to create shared abundance. The era of reduction is over; the era of creation has begun.

EmTech Invest Perspective: From Dialogue to Deployment

Yuval Dvir’s argument highlights a broader shift we have been observing around World Economic Forum week in Davos. For more than seven years, EmTech Invest has convened investors and founders representing over $500B in AUM — not to predict trends, but to understand where capital, science, and governance begin to align.

The divide between reduction and creation is not theoretical. Capital allocated to efficiency concentrates value. Capital allocated to discovery expands it.

Across conversations this January, a consistent pattern emerged — a transition:
from automation to augmentation,
from optimization to exploration,
from extraction to expansion.

The next phase moves beyond discussion into implementation: targeted collaborations, structured initiatives, and cross-sector capital formation.

EmTech Invest will continue focusing on the intersection of creation-driven AI, capital allocation, and frontier technologies.

Monaco — June 2026 | Closed-Door Capital Gathering

For the first time, EmTech Invest brings its Davos network into a private, invitation-only setting in Monaco — shifting the conversation from macro dialogue to direct capital allocation.

The gathering will convene a curated group of global family offices, institutional investors, and frontier-technology founders to structure concrete investment pathways across AI, quantum, energy, and deep-tech infrastructure.

Unlike open forums, the Monaco convening is designed for decision-makers: fewer panels, more mandates — where relationships formed in Davos convert into transactions.

Davos — January 2027
Returning during World Economic Forum week, Emtech Invest will expand the discussion from responsible AI to creation-driven global systems — from energy and biotech to decentralized finance and quantum applications.

If you are building, investing in, or regulating the next era of intelligence — we invite you to join the conversation.

The question is no longer whether AI will reshape the economy, but which model of value creation will define it.

www.emtechinvest.com

For partnerships and collaboration inquiries:
media@emtechinvest.com

Fairspin Rolls Out Next-Gen Betting Platform to Empower Sports Fans Worldwide

Join the action this February with the launch of Fairspin’s upgraded betting platform – a timely rollout as the global sports calendar hits its busiest stretch. Access a faster, smarter, and fully transparent betting experience tailored for the season’s high stakes.

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Enjoy integrated statistics, AI-driven guidance, and personalized bet creation – all designed to put control in your hands. Back your choices with data and turn your passion into profit!

Fairspin Casino: Unlock Smarter Ways to Bet

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During EMTECH INVEST Davos 2026, hosted at the iconic Grand Hotel Belvédère and Mountain Plaza Hotel, we brought together investors, policymakers, scientists, and technology leaders to address a fundamental question:

Is artificial intelligence merely optimizing the present — or is it capable of expanding the future?

On January 21, within our flagship program Technology, AI & Digital Compliance, this question crystallized during the keynote titled:

“Creating Abundance and Avoiding the Zero-Sum Trap: Prioritising Creation over Reduction for Responsible AI.”

The keynote was delivered by Yuval Dvir, Senior Advisor at SandboxAQ — a global technology strategist who previously helped architect large-scale product ecosystems at Google and now works at the intersection of AI and quantum technologies.

What made this moment particularly powerful was not simply the technological argument — it was the strategic reframing of AI’s role in the global economy. Yuval challenged the prevailing narrative that celebrates efficiency as the ultimate goal. Instead, he invited us to consider whether AI should be judged not by how many costs it cuts, but by how much new value it enables.

Below, we publish his article in full, as presented, without edits.

Creating Abundance and Avoiding the Zero-Sum Trap: Prioritizing Creation over Reduction for a Responsible AI

By Yuval Dvir

The current wave of Large Language Models (LLMs) has been an extraordinary success, progressing with a speed that has transformed how we communicate and process information. Driven by human curiosity and fueled by the capitalist engine that funded it, this era has provided the essential ecosystem – infrastructure, data, compute, and investment – required for the next leap in intelligence.

However, we must recognize that this wave has been overwhelmingly leveraged for efficiency and cost reduction. While this has increased shareholder value, it may create a zero-sum trap where AI’s gain comes at a cost by failing to grow the economic pie for the wider workforce. To build a truly responsible and sustainable future, we must pivot from reduction to creation.

Beyond the Artificial Silos of Human Cognition

For centuries, we have approached the universe through a lens of fragmentation, dividing the natural world into silos like Biology, Physics, and Chemistry. These are not inherent properties of the universe but a reductionary approach, due in part to a biological coping mechanism. Because the human brain cannot process the staggering complexity of reality in its entirety, we created these artificial blocks to reduce our cognitive load. Whether our biological brain can be upgraded to manage such complexity is a discussion for another time.

The universe, however, does not know where chemistry ends and biology begins. It operates in a singular, harmonious continuity governed not by human words, but by the mathematical laws that underpin it. This convergence is sometimes referred to as singularity by some or a root node by others. Our current focus with LLMs is the ultimate expression of this human limitation. LLMs are trained on words – human constructs designed to approximate a reality we can only partially perceive. As Meta’s Chief AI Scientist Yann LeCun argues, these models lack an understanding of the underlying physical reality.

The LQM: Exploring New Sciences and Interpreting “Unknown Sciences”

Responsible AI growth must transcend linguistics. The next frontier is the Large Quantitative

Creating Abundance and Avoiding the Zero-Sum Trap: Prioritizing Creation over Reduction for a Responsible AI

By Yuval Dvir

The current wave of Large Language Models (LLMs) has been an extraordinary success, progressing with a speed that has transformed how we communicate and process information. Driven by human curiosity and fueled by the capitalist engine that funded it, this era has provided the essential ecosystem – infrastructure, data, compute, and investment – required for the next leap in intelligence.

However, we must recognize that this wave has been overwhelmingly leveraged for efficiency and cost reduction. While this has increased shareholder value, it may create a zero-sum trap where AI’s gain comes at a cost by failing to grow the economic pie for the wider workforce. To build a truly responsible and sustainable future, we must pivot from reduction to creation.

Beyond the Artificial Silos of Human Cognition

For centuries, we have approached the universe through a lens of fragmentation, dividing the natural world into silos like Biology, Physics, and Chemistry. These are not inherent properties of the universe but a reductionary approach, due in part to a biological coping mechanism. Because the human brain cannot process the staggering complexity of reality in its entirety, we created these artificial blocks to reduce our cognitive load. Whether our biological brain can be upgraded to manage such complexity is a discussion for another time.

The universe, however, does not know where chemistry ends and biology begins. It operates in a singular, harmonious continuity governed not by human words, but by the mathematical laws that underpin it. This convergence is sometimes referred to as singularity by some or a root node by others. Our current focus with LLMs is the ultimate expression of this human limitation. LLMs are trained on words – human constructs designed to approximate a reality we can only partially perceive. As Meta’s Chief AI Scientist Yann LeCun argues, these models lack an understanding of the underlying physical reality.

The LQM: Exploring New Sciences and Interpreting “Unknown Sciences”

Responsible AI growth must transcend linguistics. The next frontier is the Large Quantitative

Model (LQM), rooted in the governing laws of science rather than patterns of human text.

Unlike an LLM, an LQM is not bound by the artificial blocks of human disciplines. By training models on fundamental mathematical constants and physical laws — the true “source code” of the universe — we enable AI to detect patterns we are biologically incapable of perceiving. We can create in-silico simulations that generate entirely new datasets not available on the internet. This may accelerate existing sciences — discovering new materials, speeding drug discovery, advancing battery chemistry — but more importantly, it opens the door to “Unknown Sciences,” the vast territories between and beyond our current fragmented silos.

LQMs can flip the zero-sum dynamic by moving from wealth extraction to wealth creation. Additional models can branch from these foundational systems, while LLMs continue to serve as the linguistic interface between humans and the world around them.

This shift transitions us from an economy of Reduction — doing the same more efficiently — to an economy of Creation, discovering what we did not yet know was possible. By exploring intersections between disciplines, we unlock what is known as the Medici effect: bursts of innovation born at the convergence of ideas. From theoretical mathematics to physical reality, new industries emerge — along with new jobs and professions. Just as the digital era created the data scientist, the era of New Sciences may require simulation architects and molecular designers.

To deliver AI that creates jobs rather than removes them, leaders must adopt a framework that prioritizes creation over reduction:

Invest in the Discovery Engine by allocating capital toward LQMs capable of navigating the mathematical substrate of the physical world and catalyzing exploration beyond current limits.

Resist short-termism. Capitalism is a powerful engine for scale, but it must fuel frontier exploration — not merely automation of the existing.

Commit to human-centered augmentation. As Dr. Fei-Fei Li emphasizes, the goal is not replacement but empowerment. By using AI to tackle complex problems, we equip humanity to perceive the universe as it truly is — interconnected and unified, from atoms to galaxies.

The current wave of AI gave us tools to communicate. The next wave may give us the power to create shared abundance. The era of reduction is over; the era of creation has begun.

EmTech Invest Perspective: From Dialogue to Deployment

Yuval Dvir’s argument highlights a broader shift we have been observing around World Economic Forum week in Davos. For more than seven years, EmTech Invest has convened investors and founders representing over $500B in AUM — not to predict trends, but to understand where capital, science, and governance begin to align.

The divide between reduction and creation is not theoretical. Capital allocated to efficiency concentrates value. Capital allocated to discovery expands it.

Across conversations this January, a consistent pattern emerged — a transition: from automation to augmentation, from optimization to exploration, from extraction to expansion.

The next phase moves beyond discussion into implementation: targeted collaborations, structured initiatives, and cross-sector capital formation.

EmTech Invest will continue focusing on the intersection of creation-driven AI, capital allocation, and frontier technologies.

Monaco — June 2026 | Closed-Door Capital Gathering

For the first time, EmTech Invest brings its Davos network into a private, invitation-only setting in Monaco — shifting the conversation from macro dialogue to direct capital allocation.

The gathering will convene a curated group of global family offices, institutional investors, and frontier-technology founders to structure concrete investment pathways across AI, quantum, energy, and deep-tech infrastructure.

Unlike open forums, the Monaco convening is designed for decision-makers: fewer panels, more mandates — where relationships formed in Davos convert into transactions.

Davos — January 2027 Returning during World Economic Forum week, Emtech Invest will expand the discussion from responsible AI to creation-driven global systems — from energy and biotech to decentralized finance and quantum applications.

If you are building, investing in, or regulating the next era of intelligence — we invite you to join the conversation.

The question is no longer whether AI will reshape the economy, but which model of value creation will define it.

www.emtechinvest.com

For partnerships and collaboration inquiries: media@emtechinvest.com

Decentralized lending protocol Moonwell suffered a $1.78 million exploit after a pricing error in its cbETH market misreported the asset’s value at $1.12 instead of roughly $2,200, according to onchain analysts and the team’s public statement.

The issue was isolated to the cbETH Core Market on Base, the protocol confirmed.

“No other markets on Base or OP Mainnet were affected. The issue is isolated to the cbETH Core Market on Base.”

Oracle Mispricing Enabled Exploit

The vulnerability stemmed from an incorrect oracle formula that drastically undervalued cbETH, creating an opportunity for attackers to manipulate collateral conditions within the affected market.

Once the issue was identified, Moonwell’s risk manager, @anthiasxyz, moved to mitigate further damage by sharply reducing both the borrow and supply caps for cbETH to 0.01.

“The supply cap was also reduced to 0.01 to prevent new users from unknowingly supplying to the affected market.”

All other markets across Base and OP Mainnet remained operational with normal parameters, according to the team. A full postmortem is expected to be published on Moonwell’s governance forum.

AI-Generated Code Under Scrutiny

Following the exploit, several onchain analysts pointed to repository commits suggesting that parts of the vulnerable code were co-authored by Claude Opus 4.6, an AI model developed by Anthropic.

Analysts claim the flawed oracle implementation may have originated from AI-assisted Solidity code generation, raising questions about the risks of “vibe-coded” smart contracts in production environments.

If confirmed, the incident could represent one of the first high-profile exploits linked to AI-generated smart contract code.

About Moonwell

Moonwell is a non-custodial DeFi lending and borrowing protocol operating across Base, Optimism, Moonbeam, and Moonriver. Users can supply digital assets to earn yield or use them as collateral to borrow other assets, with interest rates managed algorithmically via smart contracts.

The incident adds to a growing debate within the crypto industry around the use of AI-assisted development tools in security-critical blockchain infrastructure.

Decentralized lending protocol Moonwell suffered a $1.78 million exploit after a pricing error in its cbETH market misreported the asset’s value at $1.12 instead of roughly $2,200, according to onchain analysts and the team’s public statement.

The issue was isolated to the cbETH Core Market on Base, the protocol confirmed.

“No other markets on Base or OP Mainnet were affected. The issue is isolated to the cbETH Core Market on Base.”

Oracle Mispricing Enabled Exploit

The vulnerability stemmed from an incorrect oracle formula that drastically undervalued cbETH, creating an opportunity for attackers to manipulate collateral conditions within the affected market.

Once the issue was identified, Moonwell’s risk manager, @anthiasxyz, moved to mitigate further damage by sharply reducing both the borrow and supply caps for cbETH to 0.01.

“The supply cap was also reduced to 0.01 to prevent new users from unknowingly supplying to the affected market.”

All other markets across Base and OP Mainnet remained operational with normal parameters, according to the team.
A full postmortem is expected to be published on Moonwell’s governance forum.

AI-Generated Code Under Scrutiny

Following the exploit, several onchain analysts pointed to repository commits suggesting that parts of the vulnerable code were co-authored by Claude Opus 4.6, an AI model developed by Anthropic.

Analysts claim the flawed oracle implementation may have originated from AI-assisted Solidity code generation, raising questions about the risks of “vibe-coded” smart contracts in production environments.

If confirmed, the incident could represent one of the first high-profile exploits linked to AI-generated smart contract code.

About Moonwell

Moonwell is a non-custodial DeFi lending and borrowing protocol operating across Base, Optimism, Moonbeam, and Moonriver. Users can supply digital assets to earn yield or use them as collateral to borrow other assets, with interest rates managed algorithmically via smart contracts.

The incident adds to a growing debate within the crypto industry around the use of AI-assisted development tools in security-critical blockchain infrastructure.

Abu Dhabi’s sovereign wealth fund Mubadala Investment Company has increased its exposure to spot Bitcoin exchange-traded funds, raising its stake in the iShares Bitcoin Trust (IBIT), issued by BlackRock, to approximately $630.6 million, according to newly filed Q4 2025 Form 13F disclosures with the U.S. Securities and Exchange Commission.

As of Dec. 31, Mubadala reported ownership of 12,702,323 IBIT shares, marking a 46% increase from the 8.7 million shares disclosed at the end of Q3 2025. The previous holding was valued at approximately $567 million.

Institutional Allocation Expands

The latest filing confirms a continued accumulation strategy despite market volatility in early 2026. Mubadala was previously identified among the largest institutional holders of IBIT and remains one of the most significant sovereign investors in U.S.-listed spot Bitcoin ETFs.

Another Abu Dhabi-linked investment entity, Al Warda Investments RSC, also disclosed exposure to IBIT. The firm reported holding 8.2 million shares, valued at approximately $408 million.

Combined Exposure Exceeds $1 Billion

Together, Mubadala and Al Warda Investments control nearly 21 million IBIT shares, representing more than $1 billion in combined exposure to the BlackRock-managed spot Bitcoin ETF.

The filings reflect a broader institutional trend in Abu Dhabi, where sovereign and state-linked entities have gradually expanded allocations to digital assets through regulated ETF structures rather than direct custody of Bitcoin. Mubadala first disclosed IBIT purchases in late 2024 and has steadily increased its position since then, signaling a long-term allocation strategy toward Bitcoin exposure via traditional capital markets infrastructure.

The latest 13F data underscores continued sovereign participation in the spot Bitcoin ETF market as institutional demand for regulated crypto investment vehicles remains elevated.

Abu Dhabi’s sovereign wealth fund Mubadala Investment Company has increased its exposure to spot Bitcoin exchange-traded funds, raising its stake in the iShares Bitcoin Trust (IBIT), issued by BlackRock, to approximately $630.6 million, according to newly filed Q4 2025 Form 13F disclosures with the U.S. Securities and Exchange Commission.

As of Dec. 31, Mubadala reported ownership of 12,702,323 IBIT shares, marking a 46% increase from the 8.7 million shares disclosed at the end of Q3 2025. The previous holding was valued at approximately $567 million.

Institutional Allocation Expands

The latest filing confirms a continued accumulation strategy despite market volatility in early 2026. Mubadala was previously identified among the largest institutional holders of IBIT and remains one of the most significant sovereign investors in U.S.-listed spot Bitcoin ETFs.

Another Abu Dhabi-linked investment entity, Al Warda Investments RSC, also disclosed exposure to IBIT. The firm reported holding 8.2 million shares, valued at approximately $408 million.

Combined Exposure Exceeds $1 Billion

Together, Mubadala and Al Warda Investments control nearly 21 million IBIT shares, representing more than $1 billion in combined exposure to the BlackRock-managed spot Bitcoin ETF.

The filings reflect a broader institutional trend in Abu Dhabi, where sovereign and state-linked entities have gradually expanded allocations to digital assets through regulated ETF structures rather than direct custody of Bitcoin. Mubadala first disclosed IBIT purchases in late 2024 and has steadily increased its position since then, signaling a long-term allocation strategy toward Bitcoin exposure via traditional capital markets infrastructure.

The latest 13F data underscores continued sovereign participation in the spot Bitcoin ETF market as institutional demand for regulated crypto investment vehicles remains elevated.