Morgan Stanley’s Solana ETF sparks SOL vs. ETH debate – What’s going on?

ambcryptoPublished on 2026-01-07Last updated on 2026-01-07

Abstract

The altcoin market has gained momentum in early 2026, with the Altcoin Season Index reaching a key resistance level. Morgan Stanley, a major global financial institution with $6.4 trillion in assets, has filed for a Solana ETF with the SEC, further fueling capital inflows into SOL. This development has intensified the SOL vs. ETH debate, especially as Morgan Stanley has shown no similar interest in an Ethereum ETF. While Ethereum ETFs saw larger inflows recently ($115M vs. Solana's $9.2M), Solana's on-chain performance appears stronger, with its Total Value Locked (TVL) up 9% this week compared to Ethereum's 6%. The SOL/ETH ratio has also increased by 3%, bouncing from a historically significant support level. This growing institutional backing for Solana suggests a potential shift in momentum between the two leading layer-1 blockchains.

2026 has kicked off with altcoins finally getting their momentum.

The Altcoin Season Index has jumped to the level that acted as resistance in mid-November. However, with some alts up 20%+ versus Bitcoin [BTC], it’s clear that these moves are driven by market flows, not just BTC’s rally.

In essence, most altcoins are carving their own path. In this context, Morgan Stanley’s Solana [SOL] news couldn’t have come at a better time, giving extra fuel to capital flows into SOL as it hangs around a key ceiling.

For context, Solana has kicked off the New Year with solid momentum.

According to the latest filing, Morgan Stanley, one of the world’s largest banks with $6.4 trillion in assets under management (AUM), has filed an S-1 registration for the “Morgan Stanley Solana ETF Trust” with the SEC.

At a macro level, this move narrows the gap between TradFi and DeFi.

On a micro level, however, analysts noted Morgan Stanley’s lack of interest in an Ethereum [ETH] ETF, raising a key question: Is this move setting the stage for what’s next between the two leading L1s as 2026 progresses?

Solana vs. Ethereum: Competing for Wall Street attention

Altcoin divergence this early in 2026 doesn’t look random.

ETF flows make that pretty clear. On the 6th of January, Bitcoin (BTC) ETFs saw about $240 million in net outflows, while Ethereum and Solana ETFs printed inflows of $115 million and $9.2 million, respectively.

At first glance, capital clearly favors Ethereum. However, this is where Morgan Stanley’s SEC filing starts to matter. On the DeFi side, Solana’s TVL is up roughly 9% this week, compared to about 6% for Ethereum.

Put simply, Solana’s on-chain performance is looking stronger.

The result? Technically, the SOL/ETH ratio is up 3%, bouncing off the same floor that triggered a 28% rally back in 2024. With institutional support for SOL growing, a repeat of that move doesn’t seem too far-fetched.

What’s more, even after the SOL/ETH ratio fell 27% in 2025, Morgan Stanley’s continued focus on Solana further reinforces its on-chain strength, with early signs clearly pointing to a growing edge over ETH.

Final Thoughts

Solana’s on-chain performance is strengthening, with TVL up 9% this week and the SOL/ETH ratio bouncing off key support.
Morgan Stanley’s Solana ETF filing highlights growing institutional interest, reinforcing SOL’s growing edge over Ethereum.

AI Bubble Is Bursting

The AI Bubble is Bursting: A Necessary Purge on the Path to Ubiquitous Intelligence Market volatility has reignited debates about an AI bubble, with figures like Ray Dalio pointing to high valuations. However, this parallels the dot-com bubble, which, despite its crash, laid the physical infrastructure for today's internet era. The current AI investment frenzy, with tech giants planning trillions in infrastructure spending far outstripping current AI application revenues, appears similarly imbalanced. This 'bubble' is seen as an inevitable phase for a disruptive technology, paying the "innovation tax." Critically, AI inference costs have plummeted over 99.7% since 2023, making intelligence nearly free at the margin. This hasn't reduced spending but has instead unlocked massive new demand, as seen in enterprise AI cloud expenditure tripling. This follows the Jevons Paradox: efficiency gains lead to greater total consumption. The market is now entering a cleansing phase, weeding out speculative ventures lacking real moats. The deeper shift is a move from capital expenditure (CapEx) on hardware to value creation in operational expenditure (OpEx) through AI applications that solve real industry problems. While infrastructure valuations are high, rapid earnings growth from widespread AI adoption across sectors—from manufacturing and finance to law and healthcare—may digest these valuations over time. Ultimately, this creative destruction will leave behind robust infrastructure and optimized models, cheaply powering an AI-augmented future for all industries, much as the internet became indispensable after its own bubble burst. The core productive potential remains undiminished.

链捕手3m ago

The AI Bubble is Bursting

The article argues that while a bubble in the AI sector is real and is currently showing signs of deflation, this is a typical, even necessary, phase for a transformative technology. It draws parallels to the dot-com bubble, where speculative excess was followed by the consolidation of internet infrastructure, enabling the digital age. Similarly, today's massive investments in AI infrastructure (data centers, power, cooling) far outpace current application-layer revenue, creating a valuation imbalance. However, the author contends this apparent bubble is not a sign of failure but of a transition. Key drivers include the plummeting cost of AI inference (over 99.7% in two years), which, per Jevons Paradox, has unleashed massive new demand as AI moves from simple tasks to complex agentic workflows across all industries. The market is now cleansing itself of shallow, speculative ventures, shifting value from capital expenditure (CapEx) on hardware to operational expenditure (OpEx) on transformative AI applications. The conclusion is that the underlying productive force of AI is undeniable. The current financial correction will eliminate weak players, leaving behind robust infrastructure and efficient models. This will ultimately fuel an "AI+" era where intelligence becomes as ubiquitous and essential as the internet, embedding itself into every sector of the economy.

marsbit4m ago

marsbit4m ago

The Next Bitcoin ETF Boom May Be Coming From Japan – Here’s Why

Despite recent outflows from US Spot Bitcoin ETFs, market attention is shifting to Japan as the potential next major market for such funds. This follows regulatory reforms in Japan that are moving cryptocurrency oversight to a financial instruments framework, potentially enabling Bitcoin ETF approval. Analysis suggests a Japanese spot Bitcoin ETF could attract significant inflows, ranging from ¥900 billion ($5.61 billion) in a conservative scenario to ¥3.1 trillion ($19.34 billion) in a bullish one. A base-case estimate of ¥1.4 trillion ($8.73 billion) would equate to demand for roughly 140,000 BTC. Beyond price impact, a Japanese ETF is seen as boosting Bitcoin's legitimacy and accessibility for investors and institutions. Bitcoin's price was around $61,038 at the time of writing, down 2.81% over 24 hours.

bitcoinist25m ago

The Next Bitcoin ETF Boom May Be Coming From Japan – Here’s Why

bitcoinist25m ago

Trump's 43 Minutes: The Strongman Narrative Unravels, the Media War Escalates

President Donald Trump's first public appearance in over a week, intended to project control amidst health concerns and political challenges, devolved into a 43-minute display of grievance and insecurity. He focused initially on a reflecting pool renovation, compared his rally size to Martin Luther King Jr.'s, and repeatedly attacked political opponents, judges, and U.S. cities. He signed executive orders, including one weakening job protections for senior federal employees, potentially replacing expertise with loyalty. His speech meandered to topics like communism before ending abruptly. The article highlights Trump's agitated, defensive state and the systemic pressures enabling his power. It details his personal attack on a CNN reporter, framing it as part of a broader assault on independent media to undermine public trust in unfavorable facts. This pressure is exemplified by the reported erosion of editorial independence at CBS. The author argues that as mainstream media faces political and commercial pressures, supporting independent journalists becomes crucial for preserving truthful information. The piece concludes by noting a symbolic House vote challenging Trump's Iran actions, suggesting growing Republican dissent, and frames financial support for independent media as a direct form of resistance.

marsbit4h ago

Trump's 43 Minutes: The Strongman Narrative Unravels, the Media War Escalates

marsbit4h ago

The Ambitions of Kalshi, MTS, and a16z

"Kalshi, MTS, and a16z's Ambition" explores prediction markets as a focal point for investors in 2025. The article traces their intellectual evolution from Hayek's ideas on distributed knowledge to Robin Hanson's logarithmic market scoring rule (LMSR), which incentivizes truth-telling. Venture firm Andreessen Horowitz (a16z) invested in prediction market platform Kalshi, valuing it at $220 billion. a16z argues these markets offer "presence"—a way for individuals to actively engage with and influence world events through financial bets, countering modern detachment. This transforms participants into "super observers" and grants the platform authority in defining event truth and importance. The piece positions prediction markets as a key component of a16z's envisioned "new media" empire. This strategy involves rapid, high-intensity content across platforms to "take over the timeline." Media company MTS exemplifies this with its constant news livestreams. Ultimately, Kalshi's value lies in its "reality distortion field"—the power to shape perception through the credibility of real-money markets, making it a potent tool within a16z's broader media and influence architecture.

marsbit6h ago

marsbit6h ago

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