LOOKING BACK | Did AI Kill the Crypto Star?

Maybe it was with the push of a button, or a flip of a switch, we don't really know, but a little less than 45 years ago, a cable channel and cultural phenomenon was born as MTV played its first music video. 

That would be "Video Killed the Radio Star" by The Buggles, which at the time was an outlandish, outrageous statement. Of course, it turned out to be somewhat true, because over the next 20 years as MTV and similar cable channels became dominant cultural forces, the music produced by our recording artists was eclipsed in importance by the images they projected. In the end, however, it wasn't video that killed the radio star, it was the internet. 

Which, in a roundabout way, brings us to the question we wanted to ask the universe this week: Did AI kill cryptocurrency? 

Before we dive in, let us level with you, dear readers: we have promoted cryptocurrency to financial advisors, but as a topic, not as an investment, and we continue to do so. To be of most value to their clients, financial advisors should understand crypto and be able to talk about digital assets with their clients. 

But to be perfectly honest, cryptocurrency isn't as important now as it was back in the days when we were co-founding crypto newsletters and writing weekly crypto content. In fact, if the most extreme crypto commentators were to be believed, cryptocurrencies are well on their way to obsolescence, having failed for the time being not just as speculative investments, but also as a long-term, superior stores of value, new media for exchange and more secure places to put our cash.

For much of the past decade, cryptocurrency was the financial technology industry's most disruptive, controversial and occasionally ridiculous obsession. Bitcoin promised to reinvent money, Ethereum promised to reinvent finance, and thousands of alternative cryptocurrencies promised to reinvent everything else. Investors poured billions into digital assets, venture capitalists financed an endless procession of blockchain startups, and financial institutions scrambled to understand whether decentralized finance represented an existential threat or an extraordinary opportunity.

Today, however, the financial technology industry's attention has shifted decisively toward artificial intelligence. AI companies are attracting enormous investments, AI-related stocks have helped drive equity markets, and AI applications are transforming industries that cryptocurrencies once promised to disrupt. Meanwhile, digital assets are struggling with disappointing investment performance, regulatory setbacks, failed projects, persistent fraud and questions about their usefulness. Worse, AI is competing directly with cryptocurrency mining for electricity and computing infrastructure, while potentially threatening the cryptographic foundations of blockchain technology itself. Has AI killed the crypto star? Or is cryptocurrency merely experiencing another of its periodic crises of confidence before returning to prominence? 

Whatever Happened to Cryptocurrency? 

Perhaps the most striking development in cryptocurrency during the past several months has been the growing willingness of former enthusiasts to question the industry's future. In September, venture capitalist Jason Calacanis characterized Bitcoin as a fading technological phenomenon, arguing that the cryptocurrency had failed to become a particularly useful transactional medium or smart-contract platform. 

Seventeen years after Bitcoin's introduction, Calacanis suggested, the technology was no longer capturing the public's imagination. He described Bitcoin's recent rebound as another bounce from a declining asset, prompting responses from some of cryptocurrency's most prominent defenders. 

ARK Invest CEO Cathie Wood countered that Bitcoin had many lives remaining, while Strategy founder Michael Saylor defended its usefulness as a vehicle for preserving wealth. Coinbase CEO Brian Armstrong reiterated his belief that Bitcoin represents digital gold. The exchange illustrated an increasingly important disagreement: Is Bitcoin a revolutionary financial technology that is still maturing, or an aging speculative investment whose most compelling days are behind it?  

The debate is particularly revealing because Bitcoin's defenders increasingly emphasize its usefulness as a store of value rather than as a replacement for conventional payment systems. That represents a substantial retreat from some of cryptocurrency's original amb itions.Bitcoin was introduced as a peer-to-peer electronic cash system. Its proponents envisioned a world in which individuals could transact without banks, governments or other financial intermediaries. 

Today, Bitcoin's strongest investment argument frequently revolves around scarcity, institutional ownership and protection against currency debasement. Those characteristics may support its value as an alternative asset, but they hardly amount to the wholesale transformation of commerce once envisioned by cryptocurrency evangelists. For financial advisors, this distinction matters. An asset that functions primarily as a speculative store of value requires a different investment thesis from a technology expected to revolutionize payments. 

The Great Crypto Disappointment 

Cryptocurrency's recent investment performance has reinforced the industry's existential debate. According to Reuters, Bitcoin recovered from approximately $60,000 in late August to more than $70,000 by mid-September. Nevertheless, the cryptocurrency remained roughly 50% below its October 2025 peak of more than $126,000. By October 7, Bitcoin was trading near $83,000, while Ethereum and XRP were also experiencing substantial selling pressure. Higher Treasury yields, geopolitical uncertainty and a strengthening dollar were among the factors weighing on digital assets.  

These figures hardly suggest that Bitcoin is worthless. Indeed, a digital asset trading above $80,000 cannot reasonably be described as having disappeared. Nevertheless, they demonstrate that Bitcoin remains vulnerable to the same financial conditions affecting speculative investments. That complicates its reputation as digital gold. 

Gold's traditional investment appeal rests partly on its perceived usefulness during economic and geopolitical uncertainty. Bitcoin, by contrast, has repeatedly behaved like a volatile risk asset. It's not digital gold, it behaves more like a digital microcap technology stock. The problem becomes even more pronounced when examining cryptocurrencies beyond Bitcoin.  

An August 5 report from BeInCrypto, citing research from CryptoRank, found that 71.9% of cryptocurrencies that had previously entered the industry's top 100 by market capitalization were operationally dead. The analysis examined 1,539 tokens and defined operational failure using exchange delistings and persistently negligible trading activity. The median lifespan of a former top-100 cryptocurrency was approximately two years and four months. An estimated 62% failed within five years. 

These figures expose an uncomfortable reality: Even achieving substantial market capitalization does not necessarily indicate that a cryptocurrency has a sustainable business model, useful technology or enduring investor demand. Indeed, many cryptocurrency projects appear to have been designed primarily to attract speculative capital rather than solve identifiable economic problems. An August discussion on Reddit's CryptoMarkets forum captured the changing mood among individual investors. 

Participants questioned why numerous alternative cryptocurrencies were trading below their 2022 bear-market valuations while major stock indexes were reaching record highs. Several blamed fading excitement, excessive token creation and competition from AI investments. Others defended blockchain technology, particularly stablecoins, tokenization and financial infrastructure. 

The discussion was anecdotal rather than representative research, but it illustrated a significant change in cryptocurrency sentiment. Investors who once debated which digital asset would increase tenfold are increasingly asking whether the asset class has a future. 

When the ETFs Start Disappearing 

Perhaps nothing illustrates cryptocurrency's changing fortunes more clearly than the recent demise of a cryptocurrency exchange-traded fund. On October 8, The Block reported that Bitwise CEO Hunter Horsley acknowledged the disappointing performance of the company's Dogecoin ETF. The fund, launched in November 2025, is scheduled to stop trading after October 14. As of October 7, it held approximately $726,000 in assets. 

Horsley described its failure as evidence of a substantial difference between investors who purchase cryptocurrency through conventional brokerage accounts and those who trade digital assets directly through cryptocurrency applications. The distinction is important. Traditional ETF investors may be willing to purchase Bitcoin or Ethereum exposure, but that does not mean they want access to every cryptocurrency. 

Dogecoin's failure as an ETF suggests that institutional distribution cannot manufacture demand for an asset whose investment rationale remains questionable. Nevertheless, Bitwise's experience also provides a counterargument. Its Solana staking ETF reportedly accumulated approximately $1.3 billion in net assets. So, cryptocurrency ETFs are failing universally, but that investors are becoming considerably more selective. The industry is transitioning from a period when almost any cryptocurrency could attract speculative enthusiasm toward one in which products must demonstrate recognizable investment utility. 

The Fraud Problem Never Went Away 

Cryptocurrency's declining reputation cannot be separated from its longstanding association with fraud. According to the FBI's 2025 Internet Crime Report, released in April 2026, Americans submitted 181,565 complaints involving cryptocurrency, reporting losses exceeding $11 billion. Those losses were among the largest associated with any payment or investment category examined by the agency. 

Meanwhile, blockchain analytics company Chainalysis estimated that cryptocurrency scams received at least $14 billion in 2025, with the total potentially exceeding $17 billion as investigators identify additional illicit activity. The company also found that scams incorporating AI tools were substantially more profitable than comparable operations without identified AI involvement. AI-enabled scams generated approximately 4.5 times as much revenue per operation in the company's analysis. 

The irony is difficult to overlook. Artificial intelligence, which some cryptocurrency enthusiasts once viewed as a complementary technological revolution, is increasingly helping criminals exploit the cryptocurrency ecosystem. Deepfakes, automated impersonation, synthetic identities and AI-generated investment pitches are making financial fraud more convincing and scalable.  

The industry's historical scandals also remain relevant. The collapse of FTX, the criminal conviction of Sam Bankman-Fried and numerous failed token offerings undermined cryptocurrency's promise that decentralized technology would eliminate the need to trust financial intermediaries. Instead, investors frequently discovered that supposedly revolutionary financial systems reproduced traditional financial risks without comparable regulatory protections. 

The continued fascination with cryptocurrency fraud, including recent reporting on religiously themed investment schemes and documentaries examining the industry's scandals, suggests that cryptocurrency's cultural legacy may increasingly revolve around financial misconduct rather than innovation. For wealth managers, this creates an unusually difficult due-diligence problem. Advisors must evaluate not only market volatility and portfolio suitability but also custody, cybersecurity, counterparty exposure, liquidity, regulatory treatment and the possibility that a digital asset has little fundamental economic value. 

The Legislative Setback 

Cryptocurrency also suffered a significant political disappointment during September. On September 15, the U.S. Senate failed to advance the CLARITY Act, legislation intended to establish a more comprehensive regulatory framework for digital assets. The measure received 50 votes in favor and 49 against, falling short of the 60 votes necessary to proceed. Four Republican senators joined Democrats in opposing the legislation. 

The defeat was particularly significant because the cryptocurrency industry had invested heavily in political advocacy and had anticipated a more favorable regulatory environment under President Donald Trump. Coinbase's Armstrong expressed disappointment, while industry participants warned that continued regulatory uncertainty could discourage investment and innovation.  

The legislation's failure does not mean cryptocurrency regulation has stopped progressing. The Securities and Exchange Commission and Commodity Futures Trading Commission retain important regulatory responsibilities. Nevertheless, the setback undermined expectations that Washington would quickly establish a durable framework for the industry. It also demonstrated that cryptocurrency's political influence has limits. After years of lobbying, campaign contributions and promises of technological transformation, the industry still faces substantial disagreement over how its products should be regulated. 

AI Takes Center Stage 

While cryptocurrency struggles to defend its relevance, artificial intelligence has become the dominant investment narrative in technology. The contrast is striking. Cryptocurrency promised to reinvent financial transactions. AI promises to transform almost every activity that generates economic value. AI applications already support software development, customer service, medical research, financial analysis, cybersecurity, manufacturing, logistics and scientific discovery. 

Within financial services, AI is increasingly embedded in fraud detection, investment research, portfolio construction, compliance, financial planning and client communications. Unlike many speculative cryptocurrency projects, these applications can frequently be connected to identifiable business outcomes. They can reduce labor requirements, accelerate processes, improve productivity or create products that customers are willing to purchase. 

That does not guarantee that AI investments are attractively valued or that every application will succeed. It does, however, provide a more immediately recognizable economic justification for investment. 

The financial magnitude of the AI boom is extraordinary. An October 3 Reuters analysis described an industry investing unprecedented sums in computing infrastructure while attempting to develop sufficient revenue to justify those expenditures. The analysis cited estimates suggesting that major technology companies could require trillions of dollars in additional revenue to support their ambitious AI investment plans. 

Meanwhile, companies including Nvidia, Microsoft, Google and Amazon are participating in an enormous expansion of AI computing infrastructure. AI developers such as OpenAI and Anthropic are simultaneously pursuing increasingly capable models and commercial applications. The financial industry's fascination with AI reflects these developments. 

Where cryptocurrency news once revolved around token launches, exchange failures and Bitcoin price predictions, technology headlines increasingly focus on AI agents, model capabilities, computing infrastructure and enterprise adoption. There is no comprehensive media-attention dataset establishing that cryptocurrency coverage has declined by a particular percentage. Nevertheless, the shift in the dominant technology narrative is evident. 

AI has become the technology industry's principal subject of speculation, investment and debate. Even cryptocurrency advocates increasingly frame their industry's future in relation to AI. 

The Great Computing Competition 

The rivalry between AI and cryptocurrency is not merely about investor attention. The two industries increasingly compete for physical resources. Bitcoin mining requires enormous quantities of electricity and specialized computing equipment. AI requires substantial electricity, data-center capacity, cooling infrastructure and advanced processors. 

Although Bitcoin mining hardware generally cannot be repurposed directly for AI model training, mining companies often control something increasingly valuable: access to electricity, land, cooling systems and data-center infrastructure. Those resources can sometimes be redirected toward AI operations. In March, cryptocurrency commentator Ran Neuner argued that AI had effectively killed Bitcoin by offering more attractive economics for computing infrastructure and electricity. 

Neuner contended that AI was attracting capital previously directed toward cryptocurrency while creating financial incentives for Bitcoin miners to abandon mining. His argument generated substantial criticism from cryptocurrency supporters, who emphasized Bitcoin's ability to adjust mining difficulty when computing power leaves the network.  

Nevertheless, subsequent developments have strengthened the argument that AI represents a serious competitor for cryptocurrency infrastructure. On September 3, Decrypt reported that Hyperscale Data had stopped Bitcoin mining at its Michigan facility to accommodate an AI computing customer. The arrangement could generate more than $1.2 billion over 20 years if contractual extensions are exercised. Additional expansion options could increase the potential contract value beyond $3 billion. Hyperscale planned to sell its Bitcoin mining equipment as it prepared the facility for AI operations. 

The company is hardly alone. Bitcoin miners have increasingly explored AI hosting and high-performance computing as alternative revenue sources. The economics are compelling. Bitcoin mining revenues depend heavily on cryptocurrency prices, mining difficulty and electricity costs. AI infrastructure operators can potentially secure long-term contracts with customers seeking computing capacity. For investors, contractual revenue may be considerably more attractive than exposure to volatile cryptocurrency mining economics. 

This raises a provocative question: If electricity, capital and computing infrastructure are scarce, should society prioritize AI development over cryptocurrency mining? AI supporters can point to applications in medicine, science, engineering and economic productivity. Bitcoin supporters counter that decentralized monetary infrastructure provides a different kind of social benefit: financial independence, censorship resistance and protection against monetary instability. 

These benefits are difficult to compare directly. Moreover, not all blockchains use energy-intensive proof-of-work mining. Ethereum's proof-of-stake system, for example, operates differently from Bitcoin. Nevertheless, the competition for electricity and infrastructure increasingly favors activities capable of generating predictable commercial returns. 

AI May Be Cryptocurrency's Biggest Security Threat 

The most alarming recent development for cryptocurrency may not involve prices, investment flows or electricity. It involves security. 

Cryptocurrency systems depend on cryptography to protect ownership, authenticate transactions and maintain confidence in decentralized networks. For years, the industry's most frequently discussed technological threat was quantum computing. A sufficiently powerful quantum computer could potentially undermine widely used public-key cryptographic systems. Now researchers are considering whether advances in artificial intelligence could accelerate mathematical discoveries that threaten cryptographic security even before quantum computers become capable of doing so. 

During the first week of October, Ethereum Foundation researcher Justin Drake warned that AI-assisted mathematical advances could create previously underestimated risks for cryptocurrency wallets. Drake suggested that cryptocurrency users and developers should begin preparing for scenarios in which existing cryptographic assumptions become unreliable. His warning prompted renewed discussion of protective measures, including reducing unnecessary exposure of public keys. 

Ethereum co-founder Vitalik Buterin acknowledged that AI-driven mathematical discoveries could create risks for some cryptographic techniques, including approaches being considered for protection against quantum computing. However, Buterin cautioned against immediately moving funds in response to speculative threats.  

The distinction between a plausible future vulnerability and an actual cryptographic breakthrough is essential. There is no verified evidence that contemporary AI systems can routinely derive Bitcoin or Ethereum private keys from properly generated public keys. AI's ability to identify software vulnerabilities also does not establish that it can defeat the underlying mathematical assumptions protecting cryptocurrency wallets. 

Nevertheless, AI is already changing the cybersecurity landscape. On August 4, Bitcoin swap provider Boltz suspended its swap service after reporting that AI-assisted vulnerability discovery was outpacing its ability to address security weaknesses. The company said its noncustodial structure meant customer funds were not exposed through the suspension. Four days later, Decrypt reported that a volunteer Bitcoin security initiative had used frontier AI models to examine approximately 150 software repositories and identify more than a dozen vulnerabilities. The initiative was developing an open-source platform for automated security reviews.  

These developments suggest that AI is already accelerating the discovery of weaknesses in cryptocurrency software. The consequences could become severe if attackers discover vulnerabilities faster than developers can correct them. For financial institutions holding digital assets, this introduces an additional category of operational and custodial risk. 

Quantum Computing: The Potential Final Blow 

Quantum computing introduces a related but technically distinct threat. Bitcoin and many other cryptocurrency systems rely on digital signature algorithms whose security depends on mathematical problems that conventional computers cannot efficiently solve. A sufficiently capable fault-tolerant quantum computer running Shor's algorithm could potentially solve certain problems underlying these systems. 

That could allow attackers to derive private keys from exposed public keys. Such an attack would threaten cryptocurrency ownership and potentially undermine confidence in affected blockchain networks. However, quantum computers capable of conducting these attacks at meaningful scale have not been publicly demonstrated. 

The timing remains uncertain. Cryptocurrency developers are therefore exploring post-quantum cryptographic algorithms designed to resist known quantum attacks. But replacing cryptographic systems across decentralized networks is not straightforward. Changes may require coordination among developers, miners, validators, exchanges, custodians and users. 

Older wallets, inactive accounts and coins associated with exposed public keys could present particularly difficult problems. Bitcoin's decentralized governance, often celebrated as a strength, could complicate a rapid security transition. Ethereum developers have already elevated quantum resistance within the network's technical roadmap. In August, Buterin identified quantum security, privacy and AI-assisted formal verification as increasingly important priorities for Ethereum's development.  

The possibility that AI could discover weaknesses in cryptographic techniques considered quantum-resistant makes the challenge more complicated. Still, it would be premature to declare cryptocurrency doomed. Banks, governments, telecommunications providers and conventional payment networks also depend on cryptography. A breakthrough capable of undermining major cryptographic systems would create problems extending far beyond blockchain technology. 

The cryptocurrency industry's challenge is not necessarily unique exposure to cryptographic risk, but its dependence on decentralized coordination and irreversible transactions. 

Could AI Actually Save Cryptocurrency? 

There is another side to the AI-security debate. Artificial intelligence could become one of cryptocurrency's most important defensive technologies. AI-powered systems can examine software, identify vulnerabilities, detect suspicious transactions and support security testing. They may eventually make sophisticated mathematical verification more accessible to blockchain developers. 

In September, Buterin argued that AI could strengthen cybersecurity by helping developers formally verify complex software systems. His position was that increasingly capable AI models could benefit defenders as well as attackers. AI may also create new commercial opportunities for blockchain technology. Autonomous AI agents could eventually require mechanisms for transferring value, purchasing computing services, compensating other agents and verifying transactions. 

Cryptocurrency advocates argue that programmable digital assets and stablecoins could facilitate these interactions. An AI agent operating across national borders might find blockchain-based payments more convenient than traditional banking infrastructure. However, this proposition remains partly speculative. AI agents could also transact through conventional payment processors, bank accounts and regulated financial platforms. There is no compelling reason to assume that AI adoption automatically produces cryptocurrency adoption. 

The strongest argument for combining AI and blockchain is therefore not that AI needs speculative tokens. It is that certain AI applications may benefit from programmable payments, independently verifiable records and automated settlement. 

Blockchain May Outlive Cryptocurrency Speculation 

Perhaps the most important distinction for financial professionals is the difference between cryptocurrency as a speculative investment and blockchain as financial infrastructure. The former may be experiencing a prolonged crisis of relevance. The latter continues to attract serious institutional interest. 

On October 8, Reuters reported that Securitize had launched blockchain-based trading of tokenized shares in major publicly traded companies. The initiative allows investors to access blockchain representations of conventional securities. Earlier in October, Intercontinental Exchange and cryptocurrency exchange OKX advanced plans for a tokenized securities trading platform through their joint venture, OKXICE. The venture filed with the SEC seeking authorization to support blockchain-based trading of U.S. equities.  

These developments suggest that blockchain technology could become more valuable even if demand for speculative cryptocurrencies continues declining. Tokenization potentially offers faster settlement, programmable ownership, improved collateral mobility and more efficient transfers of financial assets. Stablecoins provide another important counterexample to the claim that cryptocurrency lacks practical applications. 

Dollar-backed stablecoins can facilitate cross-border transfers, digital settlement and transactions involving decentralized financial applications. Unlike Bitcoin, stablecoins are generally designed to maintain a relatively predictable value. That makes them more suitable for many payment applications. 

Visa's Onchain Analytics platform tracks stablecoin activity and distinguishes between raw blockchain transaction volumes and adjusted activity intended to better reflect economically meaningful transfers. The distinction matters because blockchain networks can generate enormous transaction volumes through automated trading, internal transfers and other activities that do not represent ordinary commercial payments. Nevertheless, stablecoin usage demonstrates that blockchain technology has developed applications extending beyond speculative investment. 

For wealth managers, tokenization could eventually influence portfolio administration, alternative investment access, settlement, custody and asset transfers. A tokenized Treasury fund or equity security represents a fundamentally different investment proposition from a cryptocurrency whose value depends primarily on future speculative demand. The underlying financial asset can generate income or possess an established valuation framework. The blockchain becomes a mechanism for recording and transferring ownership rather than the principal source of investment value. That may ultimately prove to be cryptocurrency's most enduring contribution to financial services. 

Is AI the New Cryptocurrency Bubble? 

Before declaring AI the winner, investors should consider an uncomfortable possibility. Artificial intelligence may be repeating some of cryptocurrency's speculative excesses. AI companies are attracting enormous valuations, infrastructure investments are accelerating, and investors are frequently willing to pay substantial premiums for businesses associated with the technology. 

Yet many AI developers remain unprofitable, while the ultimate economic returns on unprecedented infrastructure spending remain uncertain. On October 8, Reuters reported that Nvidia-backed Australian AI infrastructure company Firmus had abandoned a planned multibillion-dollar initial public offering amid investor concerns about valuation and market conditions. The proposed transaction would have valued the business at approximately $30 billion. The setback demonstrated that AI enthusiasm is not unlimited. 

Indeed, concerns about AI investment economics contributed to technology-stock weakness during the same week. The Nasdaq suffered a substantial decline on October 8 as investors reassessed expectations surrounding AI-related revenue and profitability. An AI investment bubble could therefore develop even while AI technology continues advancing. The internet survived the dot-com crash, and blockchain infrastructure could survive a prolonged cryptocurrency downturn. 

Technological usefulness and investment attractiveness are separate questions. For financial advisors, this distinction should be central to evaluating both industries. 

Is There a Road Back for Crypto? 

Despite cryptocurrency's recent disappointments, several arguments support its continued survival. Bitcoin retains a substantial market capitalization, an established investor base and a fixed issuance framework that supporters consider attractive in an era of monetary uncertainty. 

Institutional investment products have also made cryptocurrency exposure more accessible through conventional brokerage and retirement accounts. Ethereum continues supporting decentralized applications, stablecoins and tokenized assets. Other blockchain networks are pursuing faster transactions, lower costs and more specialized financial applications. 

Regulatory uncertainty may eventually diminish, particularly if Congress revisits comprehensive cryptocurrency legislation. Meanwhile, technological advances could improve cryptocurrency security, scalability and usability. Perhaps most importantly, cryptocurrency's history contains numerous periods during which observers confidently predicted its demise. 

Bitcoin has survived exchange collapses, regulatory crackdowns, speculative crashes, technological disputes and repeated declarations that its investment thesis had failed. Survival does not guarantee future appreciation, but neither does declining popularity establish inevitable extinction. There is also a philosophical argument that AI could strengthen cryptocurrency's original purpose. 

As artificial intelligence becomes increasingly concentrated among a relatively small number of powerful technology companies, decentralized financial infrastructure may become more attractive to people concerned about centralized control. That argument remains controversial, but it should not be dismissed. 

AI and cryptocurrency may ultimately address different problems. Artificial intelligence processes information and increasingly performs economically useful work. Cryptocurrency and blockchain systems attempt to establish ownership, coordinate transactions and transfer value without relying entirely on centralized intermediaries. The technologies are not inherently mutually exclusive. 

The Crypto Star Isn't Dead—But Its Celebrity May Be 

So, has artificial intelligence killed cryptocurrency? Not exactly. Bitcoin continues trading, cryptocurrency exchanges remain operational, stablecoins are facilitating transactions, and major financial institutions are exploring blockchain-based financial infrastructure. Nevertheless, AI appears to have displaced cryptocurrency as the technology industry's dominant speculative narrative. 

The shift is not merely cultural. AI is attracting investment capital, computing infrastructure, electricity, technical talent and executive attention that might previously have flowed toward cryptocurrency projects. At the same time, cryptocurrency's longstanding weaknesses have become increasingly difficult to overlook. 

Most tokens have failed to establish lasting economic value. Fraud remains widespread. Many proposed applications have struggled to achieve mainstream adoption. Regulatory uncertainty persists, and emerging cybersecurity threats could create additional complications. 

For financial services professionals, the most important conclusion may be that cryptocurrency and blockchain should no longer be treated as interchangeable investment propositions. 

Bitcoin may survive as a scarce digital asset. Stablecoins may expand as payment infrastructure. Tokenized securities may become increasingly important to capital markets. Decentralized finance may continue developing specialized applications. But none of those outcomes guarantees a revival of the speculative cryptocurrency universe that dominated financial technology discussions earlier this decade. 

AI may not have killed cryptocurrency. It may simply have exposed the difference between technological promises and economic usefulness. And if blockchain technology ultimately succeeds by becoming an invisible component of mainstream financial infrastructure, cryptocurrency's greatest achievement may arrive long after the industry's speculative celebrity has faded. The crypto star may survive. But artificial intelligence has unquestionably stolen the spotlight. 

Researched by DWN Staff