Scaramucci predicts ‘exponential opportunity’ for crypto at LONGITUDE

cointelegraphPubblicato 2025-12-12Pubblicato ultima volta 2025-12-12

Introduzione

At the LONGITUDE event, Anthony Scaramucci and other industry leaders expressed strong optimism for cryptocurrency in 2026, citing institutional investment and clearer regulations as key drivers. Scaramucci emphasized the potential for blockchain to reduce the $4 trillion spent globally on transaction verification in TradFi, with protocols like Ethereum and Solana offering major efficiency gains. Kristin Smith highlighted regulatory progress in the U.S. and globally, though she noted that trading regulations remain a barrier. Eli Ben-Sasson discussed the rising demand for privacy protocols like Zcash, noting that enterprises seek tailored privacy solutions. Security was also a focus, with Phemex CEO Federico Variola and Ledger's Ian Rodgers addressing risks from social engineering attacks, exemplified by the $1.6B Bybit hack. The event underscored a collective push toward safer, more regulated, and efficient crypto adoption.

Institutional investment and clear-cut regulations are laying the foundation for a strong start to 2026 for the wider cryptocurrency industry.

Industry titans including Anthony Scaramucci, Kristin Smith, Eli Ben-Sasson, Ian Rodgers, Reeve Collins and Joseph Chalom delivered optimistic outlooks for the new year after a year of positive change, particularly in the United States.

Cointelegraph’s latest LONGITUDE event, powered by Phemex, featured alpha-rich panels focused on Solana’s growth, surging interest in privacy protocols and lessons learned from security incidents in 2025.

From left, Solana Policy Institute president Kristin Smith, Cointelegraph journalist Ciaran Lyons and SkyBridge founder Anthony Scaramucci.

“There’s been a tremendous amount of progress in 2025, an unprecedented amount,” Smith said. The president of the Solana Policy Institute has been intimately involved in crypto-focused discussions in Washington over the past 18 months.

“I think now that the US is catching up, you’re seeing policymakers around the globe figuring out what they need to do to stay competitive and keep crypto within their borders, which is different than trying to keep crypto outside of their borders.”

Scaramucci said educating policymakers remains a key hurdle to helping the traditional financial system adopt innovative protocols running on blockchain rails.

“Kristin has got to go into those rooms, and she’s got to explain to these people why this regulation needs to get passed so that we can retool the financial system and make the system less expensive and more seamless,” Scaramucci said.

The founder of SkyBridge Capital added that existing TradFi systems currently spend over $4 trillion on transaction verification globally. Shifting to protocols like Ethereum and Solana, which currently rank highest for RWA tokenization and onchain activity, could offer unrivalled efficiency and cost savings.

“That’s credit card fees, wire fees, a whole host of different things. If we were able to adopt Solana and use it in the process of tokenizing assets, you could save probably 75% of that, and that could be transformative for the global economy.”

Again, the major hurdle in recent years has been lagging regulations that have scuppered innovation and the ability for institutions to actively explore using blockchain protocols.

“We can do that today. It’s actually fairly easy to issue a share or a bond on a blockchain. The problem is the regulations don’t make sense when it comes to trading those assets. And so that’s a piece that we’re working on,” Smith said.

Related: Scaramucci family invested over $100M in Trump’s Bitcoin mining firm: Report

Scaramucci delivered a bullish parting message, highlighting the intent of America’s biggest financial institutions, BlackRock, Blackstone and JPMorgan, moving to tokenize assets on blockchain protocols.

“Don’t sit here myopically in 2025 and see this short-sighted opportunity. See the exponential technological opportunity that’s coming.”

Privacy in vogue

StarkWare founder Eli Ben-Sasson, who also co-founded the Zcash protocol, engaged in a thought-provoking fireside chat unpacking why privacy protocols have been in vogue in the latter half of 2025.

“I spent several decades of my life thinking about privacy, both the math and then the productization. Privacy is a spectrum.”

Ben-Sasson weighed in on the massive interest in Zcash (ZEC) in 2025. The privacy-focused cryptocurrency has been around since 2016, but saw a massive surge in value and interest off the back of support from various big names in the industry.

“At one extreme, you have the stuff we did at Zcash, which is resistance money level of privacy. If you need to jump on a plane and the government is pursuing you and you need to be fully you know, off the radar, then you have that,” Ben-Sasson said.

StarkWare co-founder Eli Ben-Sasson.

However, Ben-Sasson said the cost of that luxury is in the user experience. Wallets, programmability and user experience are harder to provide with that level of privacy. The less technical end of the spectrum affords a use case that is in high demand.

Related: Can Zcash’s rise revive the Bitcoin OP_CAT discussion?

“Enterprises come in, and they are going to want a different kind of privacy and also a different kind of privacy from the kind that we did on Zcash. They’re going to want privacy where they, as enterprises, and their customers are shielded away from other customers and from their competitors,” he said.

Security wake-up call

Security was another major talking point at LONGITUDE VII, given the spate of high-profile hacks and security incidents in 2025.

Phemex CEO Federico Variola. Source: Cointelegraph

The theft of $1.6 billion of Ether (ETH) from Bybit in March was a wake-up call for the industry. As Phemex CEO Federico Variola explained, social engineering and unverified access continue to be a major threat to everyday crypto users.

“I think combining the social layer of being a crypto participant with the financial layer, those kind of devices should be never interacting with each other.”

“It’s difficult in crypto because sometimes you need to participate in an airdrop, or like you want your Twitter account to be linked to the MegaETH ICO, for example. Nevertheless, you should be aware that you’re always exposing yourself to significant risk,” Variola said.

Related: Bybit hack: ‘Reckoning’ that led SafeWallet to rearchitect its systems

Ledger’s chief experience officer Ian Rodgers said that the onus is on service providers and infrastructure builders to think critically about the risks their platforms and users face.

“There are there is no way to make a risk go to zero. But it is the responsibility to minimize the risk as much as possible, to think about what is the worst thing that could possibly happen, what could go wrong here,” Rodgers said.

Cointelegraph’s exclusively LONGITUDE events will be back on the calendar in 2026, with editions planned for New York, Paris, Dubai, Hong Kong, Singapore, and Abu Dhabi.

Domande pertinenti

QWhat does Anthony Scaramucci predict for the cryptocurrency industry in 2026?

AAnthony Scaramucci predicts 'exponential opportunity' for crypto, driven by institutional investment and clear regulations, with major financial institutions like BlackRock and JPMorgan moving to tokenize assets on blockchain protocols.

QAccording to Kristin Smith, what is the current regulatory challenge for trading tokenized assets?

AKristin Smith states that while it is easy to issue shares or bonds on a blockchain, the regulations don't make sense for trading those assets, which is a key area being worked on.

QWhy has there been increased interest in privacy protocols like Zcash in 2025?

AEli Ben-Sasson explains that privacy protocols are in vogue due to high demand for different levels of privacy, from resistance-money level privacy for individuals to enterprise-focused privacy shielding customers and competitors.

QWhat was the significance of the $1.6 billion Bybit hack in March 2025?

AThe $1.6 billion Ether theft from Bybit was a wake-up call for the industry, highlighting the major threats of social engineering and unverified access to crypto users.

QHow does Anthony Scaramucci suggest blockchain protocols like Solana could transform the global economy?

AScaramucci suggests that adopting Solana for tokenizing assets could save up to 75% of the over $4 trillion spent globally on transaction verification in TradFi systems, leading to transformative efficiency and cost savings.

Letture associate

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit34 min fa

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit34 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit38 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit38 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit38 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit38 min fa

Trading

Spot
活动图片