Investment banker Joe Nardini from B. Riley Securities recently challenged the widespread narrative that the AI bubble has already burst. Speaking to market analysts, he pointed out that while traditional AI hype may have cooled, the actual demand for computing infrastructure remains intense. The real story, according to Nardini, centers on power consumption: AI data centers require staggering amounts of electricity to run sophisticated models, and this infrastructure race is far from over. Bitcoin miners aren’t the only ones competing for scarce power resources anymore—AI and high-performance computing (HPC) operations now demand even greater electricity allocations, particularly as GPU-ready data centers proliferate globally.
This distinction matters significantly for crypto investors evaluating the sector’s trajectory. Despite a 68.60% year-to-date decline in the broader AI crypto market, industry insiders argue that the foundation for recovery remains intact. Rather than a complete deflation, what we’re witnessing is a recalibration—a shift from speculative hype to utility-driven value creation. Projects with genuine real-world applications are positioned to weather this transition and potentially capture substantial gains.
Three AI Cryptocurrencies Attracting Serious Attention
DeepSnitch AI: Bridging the Information Asymmetry Gap
DeepSnitch AI addresses a fundamental imbalance that has long plagued retail crypto investors. Institutional players and large-scale investors have historically maintained privileged access to accurate market signals, enabling them to execute trades with significant timing advantages. DeepSnitch AI disrupts this dynamic through an AI-powered intelligence platform designed to democratize market insights.
The platform’s core functionality centers on three AI agents working in tandem. SnitchGPT operates as an intelligent query model, delivering direct answers to market questions. SnitchScan functions as a fraud detection system, alerting investors to potential scam projects before they gain traction. Meanwhile, SnitchFeed analyzes real-time sentiment and trend data, enabling users to anticipate market movements ahead of broader adoption.
The project has already demonstrated market traction, having accumulated close to $1 million during its presale phase. The DSNT token currently trades at $0.0302, with presale momentum suggesting potential for significant appreciation upon mainnet launch. Early backers have expressed confidence in triple-digit return scenarios, positioning this as a potential breakout candidate for 2026.
Pippin: From Meme Status to Meaningful Ecosystem
Pippin has evolved considerably from its AI-generated image origins into a fully-functional decentralized ecosystem operating on Solana. The project’s current trading price stands at $0.31, reflecting a -5.78% adjustment in recent 24-hour trading, according to latest market data. Market watchers note that Pippin has consolidated around critical technical resistance levels, which historically precede bullish breakouts.
Technical analysts monitoring Pippin observe that the cryptocurrency has established the foundational patterns necessary for sustained upward momentum throughout 2026. Should PIPPIN successfully break through key resistance zones, the pathway to $1 per token becomes increasingly plausible—a milestone that would represent a new all-time high for the project and signal renewed investor confidence in AI-adjacent cryptocurrencies.
Fetch.ai: Autonomous Systems Infrastructure
Fetch.ai operates as a decentralized platform designed to automate complex tasks through machine learning integration. Current market pricing shows FET trading at $0.25, down -10.68% over the past day. However, on-chain observers view recent technical developments positively, particularly the integration between Fetch.ai and Peaq blockchain infrastructure, which strengthens the autonomous machine economy ecosystem.
This infrastructure development could catalyze renewed interest in FET heading into the latter half of 2026. A sustained bullish phase would likely propel the token back above the $1 threshold, signaling renewed institutional and retail participation in the autonomous AI sector.
Market Context: Why AI Crypto May Not Be Dead Yet
The persistent narrative surrounding an AI bubble collapse overlooks a critical reality: infrastructure demand remains robust even as speculative excess has been purged from the market. Joe Nardini’s assessment aligns with observable on-chain and institutional capital flow patterns. As traditional finance institutions increasingly allocate resources to capture AI-related upside, demand for foundational cryptocurrency projects providing genuine utility should intensify.
The key differentiator moving forward will be identifying which projects deliver concrete functionality rather than simply riding sentiment waves. DeepSnitch AI’s market intelligence tools, Fetch.ai’s autonomous infrastructure, and Pippin’s ecosystem development represent tangible use cases rather than speculative narratives—a distinction that historically separates eventual winners from projects that fade into obscurity.
For investors evaluating entry points in 2026, the convergence of infrastructure scarcity (particularly power for computing operations) and utility-driven project development creates an asymmetric risk-reward environment. Projects positioned at this intersection—combining genuine technical innovation with undervalued token economics—present compelling risk-adjusted opportunities for portfolio allocation.
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Why the AI Cryptocurrency Market Still Holds Promise Despite the Bubble Narrative—And Which Projects Could Deliver 100x in 2026
Investment banker Joe Nardini from B. Riley Securities recently challenged the widespread narrative that the AI bubble has already burst. Speaking to market analysts, he pointed out that while traditional AI hype may have cooled, the actual demand for computing infrastructure remains intense. The real story, according to Nardini, centers on power consumption: AI data centers require staggering amounts of electricity to run sophisticated models, and this infrastructure race is far from over. Bitcoin miners aren’t the only ones competing for scarce power resources anymore—AI and high-performance computing (HPC) operations now demand even greater electricity allocations, particularly as GPU-ready data centers proliferate globally.
This distinction matters significantly for crypto investors evaluating the sector’s trajectory. Despite a 68.60% year-to-date decline in the broader AI crypto market, industry insiders argue that the foundation for recovery remains intact. Rather than a complete deflation, what we’re witnessing is a recalibration—a shift from speculative hype to utility-driven value creation. Projects with genuine real-world applications are positioned to weather this transition and potentially capture substantial gains.
Three AI Cryptocurrencies Attracting Serious Attention
DeepSnitch AI: Bridging the Information Asymmetry Gap
DeepSnitch AI addresses a fundamental imbalance that has long plagued retail crypto investors. Institutional players and large-scale investors have historically maintained privileged access to accurate market signals, enabling them to execute trades with significant timing advantages. DeepSnitch AI disrupts this dynamic through an AI-powered intelligence platform designed to democratize market insights.
The platform’s core functionality centers on three AI agents working in tandem. SnitchGPT operates as an intelligent query model, delivering direct answers to market questions. SnitchScan functions as a fraud detection system, alerting investors to potential scam projects before they gain traction. Meanwhile, SnitchFeed analyzes real-time sentiment and trend data, enabling users to anticipate market movements ahead of broader adoption.
The project has already demonstrated market traction, having accumulated close to $1 million during its presale phase. The DSNT token currently trades at $0.0302, with presale momentum suggesting potential for significant appreciation upon mainnet launch. Early backers have expressed confidence in triple-digit return scenarios, positioning this as a potential breakout candidate for 2026.
Pippin: From Meme Status to Meaningful Ecosystem
Pippin has evolved considerably from its AI-generated image origins into a fully-functional decentralized ecosystem operating on Solana. The project’s current trading price stands at $0.31, reflecting a -5.78% adjustment in recent 24-hour trading, according to latest market data. Market watchers note that Pippin has consolidated around critical technical resistance levels, which historically precede bullish breakouts.
Technical analysts monitoring Pippin observe that the cryptocurrency has established the foundational patterns necessary for sustained upward momentum throughout 2026. Should PIPPIN successfully break through key resistance zones, the pathway to $1 per token becomes increasingly plausible—a milestone that would represent a new all-time high for the project and signal renewed investor confidence in AI-adjacent cryptocurrencies.
Fetch.ai: Autonomous Systems Infrastructure
Fetch.ai operates as a decentralized platform designed to automate complex tasks through machine learning integration. Current market pricing shows FET trading at $0.25, down -10.68% over the past day. However, on-chain observers view recent technical developments positively, particularly the integration between Fetch.ai and Peaq blockchain infrastructure, which strengthens the autonomous machine economy ecosystem.
This infrastructure development could catalyze renewed interest in FET heading into the latter half of 2026. A sustained bullish phase would likely propel the token back above the $1 threshold, signaling renewed institutional and retail participation in the autonomous AI sector.
Market Context: Why AI Crypto May Not Be Dead Yet
The persistent narrative surrounding an AI bubble collapse overlooks a critical reality: infrastructure demand remains robust even as speculative excess has been purged from the market. Joe Nardini’s assessment aligns with observable on-chain and institutional capital flow patterns. As traditional finance institutions increasingly allocate resources to capture AI-related upside, demand for foundational cryptocurrency projects providing genuine utility should intensify.
The key differentiator moving forward will be identifying which projects deliver concrete functionality rather than simply riding sentiment waves. DeepSnitch AI’s market intelligence tools, Fetch.ai’s autonomous infrastructure, and Pippin’s ecosystem development represent tangible use cases rather than speculative narratives—a distinction that historically separates eventual winners from projects that fade into obscurity.
For investors evaluating entry points in 2026, the convergence of infrastructure scarcity (particularly power for computing operations) and utility-driven project development creates an asymmetric risk-reward environment. Projects positioned at this intersection—combining genuine technical innovation with undervalued token economics—present compelling risk-adjusted opportunities for portfolio allocation.