AI financing frenzy and cryptocurrency panic: a misaligned game of funds and risks.

CN
5 hours ago

Around July 2026, capital and emotions seemed to be cut into two parallel lines: on one side was the financing frenzy in the AI sector, with Lovable raising its annual revenue to about $500 million in less than three years, currently negotiating to raise another $300 million at a valuation of about $13.2 billion, while Positron was starting a phased financing totaling about $750 million for high-efficiency chips, with a valuation range moving from $3.5 billion to $5 billion; on the other side was the continued slump in the cryptocurrency market, with AiCoin data showing the fear and greed index rising from 20 to 22 over two days but remaining in the “extreme fear” range. The shift in sentiment towards defense was manifested in actions on tools and chains: Zapper, a DeFi aggregation and asset management tool operating for nearly seven years, announced it would orderly shut down on August 3, 2026, with the founder explaining that it was the “best choice after evaluating various options”; on the institutional level, Abraxas Capital Management recently proposed 3,931 XAUT tokens, pegged to the price of gold, from a centralized exchange, worth about $15.97 million at the time, providing an on-chain sample for a conservative allocation narrative. At the same time, AI technology was not only used to enhance computing power and product experience; Texas law enforcement revealed that local residents had lost about $56.8 million in cryptocurrency ATM scams, involving about 1,200 victims. The scams often involved phone calls impersonating government or corporate personnel to induce offline operations, while a fraud group began using images of Cristiano Ronaldo to produce deepfake videos promoting the USWR token, packaging generative content and token speculation into new traps. Amid the financing frenzy and on-chain defenses, the technical thresholds and dissemination efficiency of cryptocurrency scams rose in tandem, with the risk curve clearly outpacing the awareness of ordinary participants.

Lovable and Positron's Overvalued Financing

In stark contrast to ordinary users struggling in the scam quagmire, the financing stories of leading companies in the AI sector are unfolding at a completely different pace. Established less than three years ago, Lovable's annual revenue run rate has approached $500 million and is currently negotiating a financing deal of about $300 million, targeting a valuation of around $13.2 billion—roughly double its December 2025 valuation. The revenue curve and valuation curve have almost risen in sync, and the growth of application layer products has quickly translated into market value expectations. Capital is willing to pay a premium for the AI narrative of “quickly acquiring users and cash flow,” a premium that even precedes longer cycles of business validation.

On the other side, Positron is seeking a total of about $750 million in financing, initially raising funds at an estimated valuation of about $3.5 billion, with subsequent phases targeting a valuation of around $5 billion, focusing on high-efficiency AI chips and computational infrastructure. Unlike Lovable's application layer, this is a heavier asset and longer cycle lane, yet capital is still betting on future computation demands, bringing planned production capacity into current valuations. At the same time, the cryptocurrency market's fear and greed index consistently reported 20 and 22, maintaining an “extreme fear” range, with specific driving factors undisclosed. On one hand, AI applications and chip companies continue to secure funding at high valuation levels, while on-chain asset sentiment contracts; this disconnect in narrative and risk preference is pushing funds' trust votes towards areas of higher technical certainty.

Fear Index 22 and Zapper Shutdown

According to AiCoin data, the fear and greed index was 20 yesterday and 22 today, remaining in the “extreme fear” range for two consecutive days, indicating that sentiment has evolved from short-term volatility to a sustained oppressive state. The material did not provide specific driving factors and cannot directly attribute these readings to any particular negative news or single event, only the outcome can be observed: at the same time that AI companies compete for higher valuations in growth stories, the risk preferences of cryptocurrency participants have clearly contracted, with more people choosing to reduce the complexity of positions and delay attempts at new strategies and new assets, shifting focus from offense to defense.

In this defensive emotional context, Zapper, a DeFi aggregation and asset management tool operating for nearly seven years, announced it would cease operations on August 3, 2026. Founder Seb Audet explained that the orderly shutdown was considered the best option by the team after evaluating various plans. Zapper plans to assist existing API users with the transition via email, aiming to minimize disruption to existing on-chain asset management processes. Currently, there is no public evidence indicating that the shutdown stems from regulatory penalties or insolvency, but from a broader industry perspective, tool platforms generally face pressure from competitive products, regulatory uncertainties, and profit model pressures, compounded by market sentiment slumps and the exit of foundational tools. The cryptocurrency ecology is presenting a defensive posture focused on preserving existing gains and compressing frontline risk exposure by mid-2026.

Institutional Shift to On-Chain Gold

At the same time that frontend tools are contracting and defensive sentiments are rising, being placed under the market microscope are a few institutional actions that can be clearly tracked. According to AiCoin data, Abraxas Capital Management recently proposed 3,931 XAUT tokens, pegged to the price of gold, from a centralized exchange, valued at about $15.97 million at the time—against the backdrop of the fear and greed index remaining in the “extreme fear” range, such a clearly substantial operation inevitably falls into the discussion framework of “defensive positions.”

The narrative of XAUT itself carries a hedging implication: it is anchored to traditional gold quotations on one end and exists within an on-chain account system on the other, seen as a digital carrier of gold and categorized as “digital gold,” occupying a gray area between traditional safe-havens and crypto-assets. Because of this, the action of Abraxas proposing XAUT from the exchange can easily be interpreted as a signal of moving away from high-volatility risk exposure towards assets pegged to gold to enhance the defensive capability of the portfolio. However, existing materials do not disclose whether this batch of XAUT subsequently entered self-custody addresses or continued flowing to other on-chain protocols, nor is there data support for multiple similar institutions synchronously adjusting their positions on similar assets. Therefore, this event possesses symbolic narrative value but remains a singular sample in terms of evidence. Whether it can rise to confirm a trend of “institutional shift towards on-chain gold” requires more follow-up address behavior and similar case supplements.

Texas ATM Scams and Cristiano Ronaldo Deepfakes

At the same time that institutions are transferring gold-pegged tokens out of trading platforms, another set of numbers provided by Texas law enforcement reveals a starkly different reality that ordinary users are facing: local residents have cumulatively lost about $56.8 million in cryptocurrency ATM scams, involving about 1,200 victims. The story often begins with a phone call—scammers impersonating government or corporate staff claim the individual is “involved in legal issues” or “has outstanding debts,” then gradually lead victims from their living rooms to the corner cryptocurrency ATM, instructing them to convert funds into on-chain assets and transfer to a designated address. Victims know nothing about the on-chain system and only mechanically complete the operations, ultimately unable to clarify “where the money went.” Existing materials have only reached the level of law enforcement statistics and do not disclose which specific addresses or protocols these funds were sent to, nor can subsequent cross-chain transfers and laundering paths be observed.

In contrast, the recently circulated deepfake video of Cristiano Ronaldo showcases another more “modern” script: the fraud group directly leverages AI generation technology to splice together lifelike endorsement scenes, enticing viewers to purchase USWR tokens. This video was neither produced by nor authorized by Ronaldo himself, yet appeared on social platforms as if backed by a “celebrity endorsement,” with technology virtually erasing the intuitive differences between true and false. Similar to the Texas ATM scams, this exploits authoritative images and technical thresholds to create information asymmetry: the former captures trust through government and corporate rhetoric and offline devices, while the latter uses the image of a top sports star and AI-generated content to package speculative narratives. Meanwhile, regulatory measures and investor education clearly lag behind the iterative pace of phone scripts, offline terminals, and deepfake videos, creating a growing exposure risk for ordinary users in cryptocurrency scenarios.

The Long-Term Game Between AI Heat and Crypto Cold

From the timeline perspective, Lovable is negotiating a $300 million financing at a valuation of about $13.2 billion, and Positron is advancing phased fundraising in the range of $3.5 billion to $5 billion, indicating that by mid-2026, capital is still giving an extremely optimistic long-term expectation for AI revenue models and computational narratives. Meanwhile, according to AiCoin data, the fear and greed index continuously reported “extreme fear” readings of 20 and 22 during the same period, while the risk appetite in the cryptocurrency market remained contracted. Zapper chose to orderly shut down on August 3 after nearly seven years of operation, while Abraxas Capital Management left behind an on-chain sample of proposing 3,931 XAUT tokens worth about $15.97 million as a hedge. These actions are less about announcing the end of a lane and more about signaling a collective early move towards defensive postures in an uncertain environment. It is particularly concerning that the main risks in the cryptocurrency space are shifting from protocol levels and price fluctuations to information and cognitive risks represented by events like the Texas ATM scams and the Cristiano Ronaldo deepfake videos, accelerating the exposure of ordinary users at the intersection of AI-generated content and token speculation narratives. What will truly determine the direction of this “AI heat and crypto cold” misaligned game will be whether regulation can keep pace with the iterative rhythm of technology and fraud scripts, whether user education can bridge the cognitive gap, and whether AI technology is used more for compliance, risk control, and transparency, or continues to be misused to create illusions and harvest emotions.

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