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The Future of AI and its Capacity to Feel

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The Future of AI and its Capacity to Feel

In the fast-paced world of technology, an exciting topic emerges at the intersection between artificial intelligence and human emotions. This topic is relevant, as it takes us into a realm where AI is evolving to understand and express emotions more closely to humans. This article aims to explore this fascinating development and analyse its implications. We will address how machines can identify emotional patterns, adapt their responses, and examine how artificial empathy may impact areas such as healthcare, education, and social relations.

The current landscape of Artificial Intelligence


Artificial Intelligence (AI) has experienced dizzying progress in recent decades, positioning itself as one of the most exciting and promising technology areas. This rapid progress is primarily due to remarkable deep learning and neural network achievements. These two key areas have boosted the ability of machines to process information and learn similarly to humans.

Emotion in Artificial Intelligence 


Emotion is a distinctive feature of the human experience, influencing our decisions, social interactions and general well-being. For centuries, we have considered understanding and expressing emotion to be a uniquely human quality. However, with the rapid progress of Artificial Intelligence, a fascinating question arises: can machines develop genuine empathy, or is it simply a clever simulation?

Understanding and expressing emotions are two interconnected and complex aspects that form the basis of empathy. While emotional understanding involves detecting and recognising emotions in others, emotional expression is the ability to respond and show empathy to those emotions. In the human case, empathy allows us to put ourselves in the place of others and respond appropriately to their emotional states.

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In Artificial Intelligence, systems have advanced in identifying emotional patterns in speech, facial expression and other human behaviour. By processing natural language and analysing emotional data, AI can discern whether a user is happy, sad, angry or surprised. These adaptive responses result from complex algorithms that allow machines to mimic empathetic reactions.

Although AI has successfully mimicked empathic responses, there is still debate about whether machines can develop genuine empathy like that experienced by humans. Some argue that genuine empathy requires an internal, conscious understanding of emotions, which machines lack entirely. Although AI systems can adapt their responses based on detected emotions, their ability to empathise remains a simulation based on previously established patterns.

Machine learning techniques and analysing large emotional datasets make emotional pattern recognition in AI possible. These algorithms allow machines to classify emotions and associate them with appropriate responses. For example, in healthcare, some AI systems detect early signs of mental health problems, such as depression and anxiety, by analysing emotional patterns in patients’ language. The future of artificial empathy remains an exciting and evolving topic, with the potential to transform human-machine interaction in many areas of modern life.

Implications in various areas


Artificial empathy can transform numerous fields, such as healthcare, education and social interaction. In healthcare, advances in detecting emotional patterns in patients’ speech and language may enable earlier diagnoses of mental disorders, providing additional therapeutic support. In education, AI assistants who understand and respond to students’ emotions can enhance the learning experience and foster a more supportive and personalised environment.

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Artificial empathy may also have applications in social interaction, such as chatbot assistants that provide emotional support and companionship to people facing loneliness or isolation. Furthermore, empathetic AI systems can improve customer satisfaction in the customer service industry by providing more personalised and attentive responses to users’ emotional needs.

The potential benefits of artificial empathy are diverse. By improving human-machine interaction, more seamless and satisfying communication could be established. This could lead to greater adoption and acceptance of the technology, boosting its integration into various spheres of society.

However, ethical and philosophical questions arise as AI moves towards greater artificial empathy. Should we grant machines the ability to understand and respond to our emotions? To what extent is allowing technology to influence our decisions and emotional states ethical? These questions raise challenges about privacy, informed consent and responsibility in developing and using this technology.

The road to artificial empathy


Developing authentic artificial empathy presents complex technological challenges. While AI systems can identify emotional patterns, genuinely understanding human emotions requires a deep and conscious understanding that goes beyond current algorithms. Moving in this direction will require interdisciplinary research spanning neuroscience, psychology and philosophy to understand better human nature and how emotions influence our decisions and actions.

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In addition to the technological challenges, we must also consider artificial empathy’s ethical and social implications. It is essential to address questions such as the responsibility of companies and developers when implementing this technology, as well as ensuring transparency and informed consent of users.

A call for responsibility in developing and using artificial empathy becomes essential. As we move towards this exciting future, we must ensure that technology serves humanity and not vice versa. Artificial empathy must be used to improve the quality of people’s lives while respecting autonomy and human dignity.

Conclusion


In conclusion, advances in detecting emotional patterns in artificial intelligence present exciting possibilities in healthcare, education and social interaction. However, these advances also confront us with significant ethical and philosophical challenges.

It is imperative to address responsibility in developing and using artificial empathy. The privacy and autonomy of users must be safeguarded to avoid emotional manipulation and ensure the ethical use of technology.

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Interdisciplinary research in neuroscience, psychology and philosophy will be essential to achieve more authentic artificial empathy. A better understanding of human nature and how emotions influence our decisions and actions is crucial to the responsible development of this technology.



As we move towards a future where technology and emotions converge, we must ensure that artificial empathy is used to improve quality of life and human well-being. Ethics must guide our steps, ensuring that artificial empathy is a tool that benefits society as a whole.

The road to authentic artificial empathy can be challenging, but it is a road worth travelling. By focusing on responsible principles, transparency and an understanding of human nature, we can fully harness the potential of artificial empathy to build a more humane and compassionate future.

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‘Biggest NFT trading platform on TRON,’ AINFT, has $6 in volume

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'Biggest NFT trading platform on TRON,' AINFT, has $6 in volume

Justin Sun-founded AINFT (formerly APENFT) describes itself as “The Biggest NFT Trading Platform on TRON” on its website.

Sun has recently been aggressively promoting AINFT, posting about it on X on February 20, twice on the 11th, on the 10th, on the 6th, twice on the 5th, and six times on the 3rd.

Despite these frequent endorsements and its advertising, this platform has averaged approximately $6.24 per day in trading volume.

Screenshot of AINFT Marketplace analytics.

The AINFT marketplace lists a total of 156 TRX volume for its top project over the last seven days, split between only two collections.

At the current price of $0.28 for each individual TRX, that’s a total volume of $43.68 for this week.

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If we divide that by the seven days, then we get a result of $6.24 per day in trading volume for the self-described “Biggest NFT Trading Platform on TRON.”

Read more: FTX estate says Justin Sun still owes it millions

AINFT has, in some sense, shifted away from NFTs, focusing on a variety of other artificial Intelligence (AI) features.

One of these features is what is advertised as the “BANK OF AI,” which is meant to make it convenient for AI agents to use TRON and BNB Chain.

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Another feature, “AINFT Nova,” is described as “an AI agent launch platform where users can deploy AI agents and simultaneously issue their dedicated tokens.” This feature has yet to launch.

Read more: Justin Sun’s graveyard of abandoned crypto projects

Similarly, it’s yet to launch its “AINFT Agent Framework” for multi-agent systems, its “AINFT AgentTX,” which is “an AI-driven trading framework,” or its “AINFT Grid,” which claims to be “a platform dedicated to advancing decentralized AI model training and application.”

It has successfully embedded a chatbot interface that claims to provide access to a variety of models from OpenAI, Anthropic, and Google.

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The value of the AINFT token has fallen by a quarter over the last year, according to data from CoinGecko.

AINFT is also connected to the legal dispute between David Geffen and Sun over the purchases of numerous pieces of art, with several of the transactions centering around what was then the APENFT Foundation.

Got a tip? Send us an email securely via Protos Leaks. For more informed news and investigations, follow us on XBluesky, and Google News, or subscribe to our YouTube channel.

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Entering new markets without increasing payment costs

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Payment gateway for marketplace: Entering new markets without increasing payment costs - 1

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The partnership between BuySellVouchers and Finassets highlights how scalable crypto payment infrastructure can unlock cost-efficient international expansion.

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Summary

  • BuySellVouchers faced rising fees, limited network support, and operational bottlenecks that hindered global scaling under its previous payment provider.
  • Switching to Finassets reduced processing costs by 50%, introduced fixed-fee predictability, optimized TRC-20 transactions, and enabled support for 70+ crypto networks.
  • The upgraded payment architecture improved compliance alignment, automated mass payouts, enhanced transaction transparency, and created a stable foundation for sustainable international growth.

Payment gateway for marketplace: Entering new markets without increasing payment costs - 1

Bank payments on international marketplaces are losing efficiency, while crypto-based marketplace payments are becoming a fundamental payment infrastructure. Their success depends on the right payments partner and a scalable payment gateway for marketplace operations.

The BuySellVouchers case shows how the right payment solution supports expansion into new markets without increasing costs.

Marketplace payment processing must support business growth

BuySellVouchers.com is a global P2P marketplace for digital vouchers and gift cards, operating since 2015 with around $12 million in monthly turnover across Asia, Africa, Europe, and Russia.

Payment gateway for marketplace: Entering new markets without increasing payment costs - 2

Its business model is based on direct peer-to-peer trading, where marketplaces process payments between multiple parties, including cryptocurrency settlements.

As the company prepared for global expansion into new markets and planned to onboard sellers in different regions, it became clear that the existing payment gateway no longer met evolving business needs. Although crypto payments were already integrated, scaling exposed structural limits in the previous setup, turning the payment infrastructure into a bottleneck.

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How to recognize when a payment provider no longer fits a business

Several warning signs indicated misalignment between the provider and the business model:

Sign How it affects 
Rising transaction fees as volumes increase Makes financial planning difficult and reduces margin predictability as the business scales
Limited network support Restricts flexibility across different payment methods and limits expansion into new markets
No dedicated technical support Slows down resolution of transaction-related issues and increases operational risk
Lack of automation tools Increases manual workload, operational pressure, and internal costs

At scale, these issues directly impact margins, predictability, and global expansion capability.

High volume payment processing requires strict technical and operational standards

For international growth, BuySellVouchers needed more than basic payment processing. It required marketplace payment solutions aligned with its business model.

The company defined clear criteria for a new payment gateway for marketplace operations:

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Keeping costs stable as volume grows

The payment solution had to ensure that increasing transaction volume would not proportionally increase costs. This was critical to maintaining stable margins as the business expanded into different regions.

Clear pricing for financial planning

Transparent pricing without hidden monthly fees or setup fees, clear transaction statuses, and visibility across all marketplace payments were essential for financial forecasting and managing funds.

Regulatory coverage across regions

Processing had to comply with financial regulations, local regulations, and global regulations, ensuring compliance without limiting global expansion.

Easy onboarding and technical stability

  • Scalable APIs capable of supporting growth
  • Reliable high-volume payment processing
  • Fast resolution of non-standard transaction scenarios typical for P2P marketplaces

Growth requires predictability, financially and operationally.

Finassets removed structural barriers for BuySellVouchers

After switching providers, BuySellVouchers partnered with Finassets.io low fee crypto payment gateway, which delivered a scalable marketplace payment platform designed for global payments and global payouts.

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Payment gateway for marketplace: Entering new markets without increasing payment costs - 3

Low cost payment processing: financial effect of reducing processing costs by 50%

A fixed-fee model was implemented, allowing the company to forecast operational costs in advance and manage margins effectively.

Additionally, TRC-20 transaction optimization was introduced through the use of pre-purchased TRON Energy instead of burning TRX for every transaction.

As Vitalijs Feldmanis, CEO of Finassets, explains: “One of Finassets’ key advantages is that clients save significantly on transaction fees for the TRON network (TRC-20), because we cover network fees with purchased energy instead of burning TRX.”

Results:

  • Processing fees reduced in half
  • Predictable unit economics as turnover increased
  • Direct positive impact on profitability

Broad network support

Support for more than 70 cryptocurrencies and networks, including ERC-20, BEP-20, Polygon, and others, allowed the platform to adapt to regional preferences and expand without structural payment limitations.

Compliance as a growth enabler

The processing structure aligned with BuySellVouchers’ offshore operating model and provided AML/KYC procedures adapted to the P2P risk profile, without excessive banking-style bureaucracy.

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This enabled the company to:

  • Standardize compliance processes
  • Reduce internal operational workload
  • Simplify interactions with a global user base

Compliance became a structured system rather than a scaling obstacle.

Operational stability as a competitive advantage

Payment gateway for marketplace: Entering new markets without increasing payment costs - 4

For a P2P marketplace, transaction speed and predictability directly influence user trust.

After implementing the Finassets infrastructure:

  • Transaction statuses became fully transparent
  • Delays and manual investigations were minimized
  • High transaction volumes were processed reliably

Payments became predictable and manageable at scale.

Centralized visibility and financial control

The Finassets dashboard became a core operational tool for the BuySellVouchers team, particularly the Balance, Transactions, and B2B crypto Exchange tabs.

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It enabled transparent balance tracking, full transaction visibility, real-time fiat equivalents, and simplified accounting exports. As a result, financial processes became more structured and operational workload was reduced.

Batch global payouts for high-volume operations

The mass payout feature accelerated recurring and large-volume transactions, a critical function for P2P and digital goods marketplaces.

This helped the business manage payouts more efficiently, save time internally, and maintain full control over payment operations.

Ongoing support and crypto expertise

Through the Finassets dashboard, the team gained:

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  • Full auditability
  • Real-time fiat equivalents
  • Simplified accounting

Sergej Balanel, CEO of BuySellVouchers.com, emphasized the importance of partner support: “We want to highlight the ongoing support from our partner, including their specialists being always available on Telegram. We got quick advice from the team, which helped us work smoothly together and speed up the integration process.”

With experienced technical specialists supporting operations, payments became a stable foundation for scalable growth.

Entering new markets without increasing payment costs

Traditionally, entering new markets leads to rising expenses due to fragmented payment methods, local options, bank transfers, and complex compliance requirements.

“As our volumes grew, processing costs and transaction predictability became critical. Finassets removed payments as a bottleneck, which directly improved realized turnover and simplified day-to-day operations. This is infrastructure we can confidently scale on.”
— Sergei B., CEO, BuySellVouchers

Using a unified payment gateway for marketplace operations allowed the company to:

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  • Maintain a consistent fee structure across regions
  • Eliminate chargebacks
  • Avoid frozen funds
  • Preserve predictable cash flow

Payments became a controllable, scalable infrastructure layer.

Scalability depends on payment architecture

The BuySellVouchers case shows that crypto payments alone do not guarantee lower costs or scalability.

What truly matters is the architecture of the payment gateway for marketplace operations and the strategic choice of a reliable processing partner.

A well-structured payment infrastructure allows businesses to enter new markets without increasing unit costs, improve margins as transaction volumes grow, and reduce operational and regulatory risks.

When payment operations become predictable and scalable, a marketplace gains a stable foundation for sustainable global growth.

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Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.

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PayPal (PYPL) jumps 7% as Stripe reportedly weighs acquisition. Here is what it means for crypto

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PayPal (PYPL) jumps 7% as Stripe reportedly weighs acquisition. Here is what it means for crypto

Stripe, which processed $1.9 trillion in transactions last year and was recently valued at $159 billion, is considering an acquisition of all or parts of PayPal (PYPL), according to a Bloomberg report.

Deliberations are in early stages, the report continued.

If completed, the deal would bring together two major payment firms that have both moved into stablecoins.

PayPal launched its dollar-backed stablecoin in 2022 through issuer Paxos. The token has since grown to a market value of about $4 billion. It allows users to move dollars across crypto networks at any time of day, often at a lower cost than bank wires.

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Stripe has also pushed deeper into crypto. In 2024, it acquired Bridge for $1.1 billion, a company that builds tools for businesses and crypto projects to issue their own U.S. dollar-backed tokens. Stripe is also working with venture firm Paradigm to develop Tempo, a payments-focused blockchain now in testing.

PayPal has struggled mightily in recent years, its stock tumbling about 80% from record highs hit in 2021. Shares were already higher this week on buyout chatter, and they rose another 7% late Tuesday in the wake of the Stripe report.

Read more: Stripe’s Bridge sees stablecoin volume quadruple as utility insulates from ‘crypto winter’

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crypto wallets for AI agents are creating a new legal frontier

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crypto wallets for AI agents are creating a new legal frontier

SAN FRANCISCO, CA – Crypto isn’t just building faster payments rails. It may be building the financial system for non-humans.

As AI agents grow more autonomous, developers are already giving them crypto wallets, allowing software to hold assets, pay for services, trade tokens and even hire other agents. The technical pieces are falling into place. The legal ones are not.

At a recent panel at NEARCON 2026, Electric Capital’s Avichal Garg framed the moment as historically significant.

“What happens if there’s not a human behind it at all?” Garg asked. “It’s some piece of code that owns a wallet, executing code to make more money… How does liability work in that case? I actually don’t know.”

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Crypto makes this possible in a way traditional finance cannot. Blockchains allow programmable money, instant settlement and global access. Pair that with AI agents capable of making decisions, and you get something new: software that can both think and transact.

Garg compared the shift to the creation of the limited liability corporation in the 19th century — a legal breakthrough that unlocked pooled capital and industrial-scale growth.

“The cost of participating in the economy has come down so far,” he said. “You’re talking about anybody in the world, with relatively little money, being able to create value.”

But enforcement remains unresolved.

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“You can’t punish an AI,” Garg noted. “You can turn them off, but they don’t care.”

If autonomous agents begin trading, lending, hiring and scaling businesses onchain, lawmakers may face a foundational question: Who is liable when software with its own wallet acts independently?

Read more: Kraken’s co-CEO could trust AI with 100% of his crypto — Dragonfly’s Haseeb Qureshi isn’t convinced

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Crypto Markets Struggle as BTC Slips Below $64K

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BTC failed to hold key support levels, dragging the wider crypto market lower.

Cryptocurrency markets are under pressure again, with traders reacting to broader AI-linked fears, lingering macro uncertainty and signs of waning institutional demand. Today, Feb. 24, total crypto market capitalization slipped 2.5%, currently hovering around $2.27 trillion.

Bitcoin (BTC) slid from about $66,000 on Monday morning, Feb. 23, to near $63,700 at press time, marking a 3% daily decline. BTC’s weekly losses are around 6%.

Ethereum (ETH) tracked BTC’s move, falling 3% to $1,840, and down 5.4% on the week.

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the-defiant
BTC 24-hour price chart. Source: CoinGecko

Among the rest of the top-10 assets, most are seeing mild to moderate losses today. XRP is down 1.7% to $1.35, BNB lost 3.6% to about $585, and Solana (SOL) declined 3% to $77.

Figure Heloc (FIGR_HELOC) was the only top-10 large-cap in the green this morning, up 1.5%.

Oversold

Alex Thorn, head of firmwide research at Galaxy Digital, noted in an X post today that BTC is approaching all-time oversold territory, with weekly RSI readings lower than any moment outside the deepest bear markets, citing November-December 2018 and mid-2022 as rare comparable periods.

the-defiant
BTC nears lowest weekly RSI. Source: X

Wintermute analysts highlighted in another X post today that Bitcoin has repeatedly failed to break through the $70,000 mark in the past two weeks, while ETH dipped below the psychologically important $1,900 mark.

“Multiple times over the past decade, growth scares have triggered rotations that ultimately reversed as risk appetite returned and the market found its way back to momentum,” the analysts noted.

They added that thin liquidity with derivatives signals a lack of directional conviction. Some selective interest in altcoins from high-net-worth investors briefly emerged mid-week but quickly faded.

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Big Movers and Liquidations

Looking at the top-100 assets by market cap, PIPPIN gained the most, up 6.6% to $0.77 on the day, while Monero (XMR) rose 3.4% to $325.

On the downside, Bitcoin Cash (BCH) led losses at 11% to $475.40, followed by NEXO, down 5.5% to $0.80.

According to CoinGlass data, around 137,000 traders were liquidated over the past 24 hours, with total losses of $412.9 million, where BTC accounted for $156.3 million and ETH for $131.7 million, while other altcoins accounted for $22.1 million.

ETFs and Macro Conditions

Spot Bitcoin ETFs saw $203.8 million in outflows on Monday, bringing cumulative assets to $80.7 billion. Ethereum ETFs recorded $49.4 million in outflows, with total net assets now at $10.4 billion, per SoSoValue data.

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Macro conditions still feel shaky. Shares of IBM plunged about 13% on Monday, Feb. 23 — the stock’s steepest drop in more than 25 years. The selloff came after Anthropic said its Claude Code tool can automate COBOL modernization, the old-school language that still rakes in serious revenue for IBM.

Adding to the nervous mood, analysts at Citrini Research warned in a Feb. 22 note that rapid AI adoption could displace large numbers of white‑collar jobs, squeeze consumer spending, and put pressure on both financial and tech sectors.

In comments to investors on Monday, JPMorgan CEO Jamie Dimon drew comparisons between current credit and risk dynamics and those seen in the run‑up to the 2008 financial crisis, fueling more caution among investors.

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GCC Leaders Fast-Track GenAI Adoption Across Tax, Finance and Legal Sectors

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Editor’s note: The GCC region is moving quickly from experimenting with Generative AI to embedding it across core business functions. Deloitte’s newly released survey of tax, finance and legal leaders shows a clear acceleration in GenAI adoption, driven by a demand for smarter research, decision support and quality assurance. As regional companies navigate data privacy, governance and implementation roadmaps, this editorial note highlights momentum and the remaining gaps that organizations must address to translate ambition into measurable outcomes.

Key points

  • GenAI adoption is accelerating across tax, finance and legal functions in the GCC.
  • Non-adoption fell from 52% in 2024 to 29% in 2025, with participation rising 47% year over year.
  • Priorities have shifted toward research and analysis (41%) and quality improvement (38%).
  • Only 18% are piloting GenAI, 9% are scaling, and 10% have enterprise-wide AI strategies and governance in place; 63% remain in pre-implementation.
  • Automation remains a major opportunity, with 53% prioritizing automation; emphasis on research and data analysis (41%).

Why this matters

GenAI adoption in the GCC signals a shift from experimentation to strategic capability across tax, finance and legal functions. The findings underscore the importance of governance, robust operating models and workforce readiness to translate momentum into measurable business value and trusted, scalable deployment across enterprises. With rising confidence in AI’s long-term potential, organizations must balance speed with quality, risk controls and responsible governance to sustain momentum.

What to watch next

  • Move from pilots to enterprise-wide AI strategies and governance frameworks.
  • Strengthen governance, operating models and adoption roadmaps.
  • Invest in data quality and capability development for deeper analytics.
  • Monitor automation opportunities and balance between speed and quality.

Disclosure: The content below is a press release provided by the company/PR representative. It is published for informational purposes.

GCC Leaders Accelerate GenAI Adoption in Tax, Finance and Legal Functions

 A new Deloitte survey reveals rapid uptake across the region, alongside growing gaps in governance, strategy and implementation.

Dubai, UAE – 24 February, 2026: A new regional survey by Deloitte’s Tax & Legal business shows that organizations across the GCC are rapidly adopting Generative AI (GenAI) in tax, finance, and legal functions – but many are still struggling to move from experimentation to enterprise-wide impact.

Based on insights from senior tax and finance leaders across Saudi Arabia, the UAE, Qatar, and Kuwait, the survey shows rapid acceleration in GenAI adoption across the GCC. Non-adoption fell sharply from 52% in 2024 to 29% in 2025, while survey participation rose 47% year over year. The survey results indicate that GenAI has become a mainstream strategic priority for regional leadership teams.

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While early adoption focused on basic productivity tasks such as email drafting, priorities have moved toward research and analysis (41%) and accuracy and quality improvement (38%). This reflects a transition from efficiency-led experimentation to more strategic value creation. At the same time, 93% of respondents expect AI to have a significant impact on their organizations, highlighting strong regional confidence in the technology’s long-term potential.

Yet despite this momentum, execution remains a key challenge. While 18% of organizations are actively piloting GenAI use cases, only 9% have begun scaling solutions, and just 10% report having enterprise-wide AI strategies and governance frameworks in place. More than 63% remain in pre-implementation stages, underscoring the need for clearer operating models, stronger governance, and structured adoption roadmaps to translate ambition into measurable outcomes.

Automation continues to be a major opportunity area, with 53% of respondents prioritizing automation, particularly in data validation and data reconciliation. However, leaders are increasingly emphasizing quality over speed, with research and data analysis accounting for 41% of current GenAI applications, signalling demand for deeper analytical support rather than simple task automation.

Implementation approaches vary widely across the region. While some organizations are adopting subscription-based or hybrid models, 38% say they are still exploring how to operationalize GenAI, reinforcing the need for advisory support to bridge strategy and execution.

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Reflecting on the regional landscape, Muhammad Bahemia, Middle East Tax Leader at Deloitte, said: “The pace of Generative AI adoption across the GCC reflects a region that is both ambitious and pragmatic. Leaders clearly recognize the technology’s potential, but many are now confronting the harder question of how to scale it responsibly. Through our work across tax, finance, and legal functions, Deloitte is helping organizations translate innovation into disciplined execution; strengthening governance, building capabilities, and embedding AI in ways that deliver measurable value and enduring trust.”

Further commenting on the findings, Mohamed Serokh, Partner, at Deloitte Middle East, said: “What we’re seeing across the GCC is a clear shift from curiosity to action. Leaders recognize GenAI’s potential to fundamentally reshape tax, finance, and legal functions, particularly in research, analysis, and quality improvement. However, our survey also shows that many organizations are still navigating how to move from pilots to scalable impact. Success will depend on strong governance, capability development, and a disciplined approach to implementation.”

The survey concludes that while experimentation is widespread, the next phase for GCC organizations must focus on structured execution. Prioritizing high-impact use cases in research and tax analysis, strengthening governance frameworks, and investing in workforce readiness to support responsible, scaled adoption.

Explore the survey insights on this link.

© 2026 Deloitte & Touche (M.E.). All rights reserved.

In this press release references to “Deloitte” are references to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”) a UK private company limited by guarantee, and its network of member firms, each of which is a legally separate and independent entity. Please see deloitte.com/about for a detailed description of the legal structure of DTTL and its member firms. The information contained in this press release is correct at the time of going to press.

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About Deloitte & Touche (M.E.) LLP

Deloitte & Touche (M.E.) LLP (“DME”) is the affiliate for the territories of the Middle East and Cyprus of Deloitte NSE LLP (“NSE”), a UK limited liability partnership and member firms of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”).

DME is a leading professional services organization established in the Middle East region with uninterrupted presence since 1926. DME’s presence in the Middle East region is established through its affiliated independent legal entities, which are licensed to operate and to provide services under the applicable laws and regulations of the relevant country. DME’s affiliates and related entities cannot oblige each other and/or DME, and when providing services, each affiliate and related entity engages directly and independently with its own clients and shall only be liable for its own acts or omissions and not those of any other affiliate.

DME provides services throughout 26 offices in 14 countries with more than 7,000 partners, directors and staff.

About Deloitte

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities (collectively, the “Deloitte organization”). DTTL (also referred to as “Deloitte Global”) and each of its member firms and related entities are legally separate and independent entities, which cannot obligate or bind each other in respect of third parties. DTTL and each DTTL member firms and related entity is liable only for its own acts and omissions, and not those of each other. DTTL, NSE and DME do not provide services to clients. Please see www.deloitte.com/about to learn more.

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Deloitte provides Audit & Assurance, Tax & Legal and Consulting and related services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our professionals deliver measurable and lasting results that help reinforce public trust in capital markets, enable clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society and a sustainable world. Building on its 175-plus year history, Deloitte spans more than 150 countries and territories. Learn how Deloitte’s approximately 457,000 people worldwide make an impact that matters at www.deloitte.com.

Noora Cheikh

Eminence, Media & Digital Marketing Leader

Deloitte & Touche (M.E.)

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ncheikh@deloitte.com | www.deloitte.com

 

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Fluid Proposes Establishing a Foundation Funded by $3M Annual Grant From DAO

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If approved, the governance proposal by Instadapp’s COO would establish a non-profit foundation to oversee the DeFi protocol’s code, frontend and trademarks.

Fluid DAO is considering a proposal to transfer all of the DeFi platform’s intellectual property into a Cayman Islands foundation, and to approve a $250,000 monthly grant to fund development and operations.

The proposal was submitted on Monday, Feb. 23, by DMH, the COO of Instadapp, the firm behind Fluid. It calls for the creation of the Fluid Foundation governed by DAO votes, a familiar corporate setup for crypto organizations.

Under the plan, “all Fluid Protocol smart contract code,” front-end interfaces, domains, trademarks and related assets would be transferred to the foundation. Once completed, the assets would “belong to the Foundation — not to any individual, company, or labs entity,” DMH wrote.

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The foundation would have no owners and would operate through custodians and directors, according to the proposal. Its sole purpose would be to hold and steward the protocol’s intellectual property on behalf of the DAO.

“The Fluid team acts as custodians of the Foundation — not owners,” the proposal states, with FLUID token holders retaining “ultimate authority” through governance.

Control Stays with DAO

The proposal argues that a legal entity is needed as the protocol, which now has over $1 billion in total value locked (TVL), expands and engages with off-chain counterparties. A foundation structure would allow Fluid to meet “AML, KYC, banking, and regulatory requirements” without altering how token-based governance functions, the proposal argues.

Token holders would also retain the power to change foundation policy or shut it down entirely. The proposal says holders could “in an extreme case, dissolve the Foundation entirely through a governance vote.” DMH further elaborated in a response to a comment on the proposal:

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“It is very important to understand that in the legal field, token holders and DAO have no rights; this is why we are creating a legal wrapper that can now have ownership rights over the protocol, and this foundation has no ownership.”

To fund the structure, the DAO is being asked to approve a $250,000 monthly grant, or about $3 million a year from its treasury, which is funded by protocol revenue. The budget would cover engineering, infrastructure, security, business development and general operational costs, according to DMH.

‘Foundation Bears the Legal Costs’

Fluid operates a decentralized lending and borrowing protocol, as well as a swap interface. According to data from DefiLlama, that combination has brought Fluid roughly $1.2 billion in TVL and generated about $1.1 million in revenue in January. In August, the platform saw a record high revenue of $1.52 million. Taking Fluid’s best revenue month yet, the grant would consume around 16% of that monthly revenue.

the-defiant
Fluid’s TVL and revenue. Source: DefiLlama

If approved, legal work to transfer the IP is expected to be completed by mid-2026, with Cayman Islands counsel handling the process. The team also plans to move ownership of all EVM deployments under direct DAO governance.

Some raised concerns about liability if the foundation were sued. In response, DMH said that “if the foundation gets sued, the foundation itself bears the legal costs and any liability.”

Over the past 24 hours, FLUID slid 6% from around $2 to $1.88, but has since recovered to $1.96.

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The Defiant reached out to Instadapp for comments on the proposal, but hasn’t heard back by press time.

Late last year, a fee-related dispute between the two main entities behind Aave — Aave Labs and Aave DAO — turned into a broader debate on how crypto organizations should be structured.

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Tom Lee’s ETH losses at Bitmine exceed FTX customer losses

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Tom Lee’s ETH losses at Bitmine exceed FTX customer losses

Tom Lee, founder of Fundstrat and Chairman of ether (ETH) treasury company Bitmine Immersion Technologies, has lost more on ETH using other people’s money than the $8 billion worth of losses suffered by FTX customers.

With 4,422,659 ETH purchased at an average $3,850 apiece, Lee’s company raised capital to buy the asset at over $2,000 more per coin than today’s price.

As a result, he’s lost $8.8 billion of his company’s assets.

At time of writing, ETH is trading at $1,843, down 60% over the past six months alone. Unfortunately, Bitmine Immersion has been buying tons of ETH over that bearish period — increasing losses for its investors at an alarming rate. 

Over the past six months, as ETH was declining 60%, Bitmine Immersion bought an extra 2,708,760 ETH. 

Those progressively disastrous additions increased the company’s losses from $4.8 billion to $8.8 billion.

Read more: Even Ethereum treasury companies are selling ETH to pay off debt

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Bitmine Immersion lost $8.8 billion by buying ETH

It’s not particularly remarkable for digital asset treasury (DAT) companies to have declined in value.

The Wall Street fad, which peaked in early summer 2025, was to overpay for leverage in the hope that the mania would increase to even more exuberant heights, or that the company could convince bond investors or other capital allocators to offer it even more leverage.

In the distant future, all DATs focused on the ultimately limited supply of bitcoin (BTC) or ETH as another reason to invest in these leveraged acquisition strategies, even though their efforts to corner the market usually fizzled within single digit percentages of the outstanding supply of those assets.

What started as modest premiums of a few percentage points quickly ballooned into stock debuts rallying to 23x the value of their crypto holdings.

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That once-23x overvalued stock, like many similar treasury stocks, fell 98% by November from its May peak, and is now down over 99%.

Bitmine Immersion is down 88% from its July 2025 high. It’s lost over $600 million on its ETH holdings in the past week.

Within five months of its June 3, 2025 peak, Lee’s company had shed 80% of its stock value. By February 5 of this year, Lee’s ETH treasury had lost $8 billion for investors, and that loss extended to as much as $9 billion intraday this morning. 

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Coinbase Opens Commission-Free Stock and ETF Trading to All US Users

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Coinbase Opens Commission-Free Stock and ETF Trading to All US Users

Coinbase has opened stock and exchange-traded fund trading to all US users, allowing customers to buy and sell equities alongside crypto within the same app on a 24/5 basis. The rollout includes commission-free trading, fractional shares, and instant funding with USD or USDC. 

According to a company post on Tuesday, thousands of stocks are available to trade 24 hours a day, five days a week, with approximately 6,000 securities currently supported and plans to expand that number in the coming weeks.

Coinbase said it aims to introduce stock perpetual futures for non-US users through Coinbase Bermuda Ltd., subject to regulatory approval, and said it intends to offer tokenized equities in the future.

Today’s announcement comes on the heels of Coinbase expanding its prediction markets offering to all 50 US states last month through a partnership with Kalshi, allowing users to trade contracts tied to real-world events across sports, politics and culture. 

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Brian Armstrong, CEO of Coinbase, posted the news today on X, writing “The everything exchange is growing.”

Source: Brian Armstrong

Related: WisdomTree gets SEC approval for round-the-clock trading of tokenized MMF

Tokenized equities gain traction from crypto platforms to Wall Street

Tokenized equities, blockchain-based representations of traditional shares, have emerged as a major theme in crypto over the past year.

In June, more than 60 tokenized stocks became available on crypto exchanges Kraken and Bybit, as well as on Solana-based DeFi platforms. The rollout, led by Backed Finance through its xStocks product, gave users blockchain-based exposure to major companies including Apple, Amazon, Tesla, Nvidia, Meta, Coinbase and Robinhood.

In October, fintech Robinhood expanded its own tokenization program on the Arbitrum blockchain, adding 80 new stock tokens and bringing its total to 493 tokenized assets.

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While crypto-native and fintech platforms have led recent rollouts, interest in tokenized equities now extends to some of the world’s largest exchanges.

In September, Nasdaq filed with the US Securities and Exchange Commission (SEC) seeking approval to list tokenized equities, and in November, the exchange’s head of digital assets strategy, Matt Savarese, told CNBC that securing SEC approval to list tokenized versions of exchange-listed stocks is a top priority for the company.

In January, the New York Stock Exchange and its parent company, Intercontinental Exchange, announced plans to develop a platform for trading tokenized stocks and ETFs. The proposed system would support 24/7 trading and instant settlement by combining NYSE’s Pillar matching engine with blockchain-based post-trade infrastructure.

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Coinbase also today announced a partnership with Yahoo Finance to enable users to move from researching an asset on Yahoo Finance to executing a trade on Coinbase with one click. Yahoo Finance will incorporate real-time information from Coinbase for asset discovery and tracking.

The US-based exchange said Coinbase One members can earn rewards on USDC (USDC) balances used for trading, and Yahoo Finance users will be offered a one-month trial of Coinbase One Basic as part of the partnership.

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