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AI Dominates Market Interest But Where Are the Crypto Gains?

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AI Mentions on Social Media

Mentions of artificial intelligence (AI) on social media reached record highs in February 2026, with attention focused on various applications and concerns.

However, this momentum has not extended to the crypto space. The divergence highlights a clear split: while global AI interest continues to climb, decentralized AI projects and blockchain-based AI tokens are experiencing weak performance and limited visibility.

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AI Takes Center Stage Online and in Global Investment Markets 

Social intelligence platform LunarCrush reported that daily social mentions of “AI” set all-time records, with distinct conversation themes. The analytics platform reported that discussions around new AI models, capabilities, and industry integration accounted for 40% of overall mindshare.

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Creative use cases also represented a significant share of the conversation. AI in creative industries such as art, music, writing, and content creation captured 30% of mindshare.

Meanwhile, 20% of AI-related discussions centered on ethics and safety. These conversations focused on responsible development and deployment.

However, concerns appeared to outweigh optimism in several areas. Job displacement fears dominated sentiment, accounting for 60% of mindshare. AI misuse drove 30% of the discussion, while regulation captured 10%.

AI Mentions on Social Media
AI Mentions on Social Media. Source: X/LunarCrush

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Interest in AI extends far beyond online conversations. Investment activity reflects the same momentum. According to Crunchbase data, AI attracted nearly half of all global funding in 2025, a sharp increase from 34% in 2024.

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Total funds flowing into the sector surged more than 75% year over year, rising from $114 billion invested in 2024.

“The foundation model companies have raised $80 billion in 2025 to date, representing 40% of global AI funding, per Crunchbase data. Model company funding this year has more than doubled from $31 billion in 2024, when that investment totaled about 27% of all AI funding,” the report read.

At the same time, large-scale spending is accelerating across AI infrastructure. Recently, Adani Group unveiled plans to invest $100 billion to develop renewable-energy-powered, AI-ready hyperscale data centers by 2035.

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AI Boom Leaves Crypto Tokens Behind

As momentum builds across the AI sector, one segment appears to be receiving comparatively little attention.

Noticeably, there is no major discussion of decentralized AI projects or crypto AI tokens. Blockchain AI lags as mainstream AI receives most of the enthusiasm.

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The investment data points to a similar imbalance. BeInCrypto reported that during Q1 2026, Web3 funding was primarily directed toward core infrastructure and institutional-facing financial rails. The largest allocations went to stablecoin payment infrastructure, custody and trading platforms, real-world asset tokenization, and compliance tools.

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Decentralized AI projects were largely missing from the list of top-funded categories, highlighting a widening gap between the broader AI boom and blockchain-based AI development.

Market numbers reveal the AI crypto tokens’ ongoing challenge. Over the past month, every major AI-related crypto subsector tracked by CoinGecko has recorded a decline in market capitalization. 

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The combined market cap of leading AI crypto categories has dropped over 16%. Still, it’s worth noting that the decline comes amid a broader market downturn, which has pulled asset prices lower.

Market Cap of Artificial Intelligence (AI) Sectors
Market Cap of Artificial Intelligence (AI) Sectors. Source: CoinGecko

This suggests that surging global interest in AI has not translated into equivalent demand for AI-focused crypto tokens. As capital and attention concentrate on sovereign AI infrastructure, robotics, and enterprise deployment, the key question is whether blockchain-based AI projects can meaningfully capture that momentum, or whether traditional systems will continue absorbing most of the value created by the AI revolution.

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Crypto World

AMLBot Says Social Engineering Drove 65% of Crypto Incidents in 2025

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AMLBot Says Social Engineering Drove 65% of Crypto Incidents in 2025

About two-thirds of crypto incidents investigated by blockchain analytics company AMLBot in 2025 were driven by social engineering rather than technical exploits, according to a report based on the company’s internal casework.

AMLBot said 65% of the incidents it reviewed last year involved access and response failures, such as compromised devices, weak verification and delayed detection, instead of vulnerabilities in blockchains or smart contracts.

The company said its analysis drew on about 2,500 internal investigations and should not be read as an industry-wide measure of crypto crime, according to a Wednesday report shared with Cointelegraph.

Primary attack vectors included device compromises via chat scams, impersonation scams, and other investment and phishing scams involving social manipulation.

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Crypto phishing attacks are social engineering schemes that don’t require hacking code. Instead, attackers share fraudulent links to steal victims’ sensitive information, such as the private keys to crypto wallets.

The findings suggest that security improvements at the protocol level may not be enough to protect users if scammers can bypass safeguards by targeting people directly.

Percentage of crypto theft cases by fraud category. Source: AMLBot

Investment scams and phishing lead by case count

Investment scams accounted for the largest share of cases (25%), followed by phishing attacks (18%) and device compromises (13%), as the most damaging categories in terms of case frequency.

Related: 22 Bitcoin worth $1.5M vanish from Seoul police custody

Pig-butchering scams accounted for 8%, over-the-counter (OTC) fraud for 8%, and chat-based impersonation represented 7%, collectively making up the second tier of the most frequent attacks.

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Percentage of crypto theft cases per month. Source: AMLBot

Impersonation linked to $9 million in recent losses

AMLBot traced at least $9 million in stolen digital assets to impersonation-related attacks over the past three months.

Impersonation is the most damaging attack vector in terms of social engineering scams, Slava Demchuk, CEO of AMLBot, told Cointelegraph. “Attackers continue to exploit and trick victims with a ruthless game of charades, posing as trusted entities,” he said. “Sometimes they’re exchange support teams, investment partners, project managers or reps.”

Demchuk urged users not to share private keys or recovery phrases and to be wary of urgent requests involving fund transfers or wallet access, which he said are common entry points for social engineering scams.

Related: Binance confirms employee targeted as three arrested in France break-in

To protect against impersonation attacks, Demchuk urged crypto investors not to share their private keys and recovery phrases. 

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He also advised investors to ignore “urgent requests involving fund transfers of wallet access,” which are usually the first point of contact for social engineering scams.

CertiK reports January spike in crypto losses

Crypto scams saw an uptick in January, when scammers stole $370 million, the highest monthly figure in 11 months, according to crypto security company CertiK.

Source: CertiK

$311 million of the total value was attributed to phishing scams, with a particularly damaging social engineering scam costing one victim around $284 million.

Magazine: Meet the onchain crypto detectives fighting crime better than the cops

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