Cryptocurrencies Don't Fit the AI Strategy: A Silicon Valley Investor's Perspective

Imran Khan, a prominent tech investor and former Snap executive, holds a clear stance: cryptocurrencies play a limited role in his approach to the artificial intelligence sector because they respond to fundamentally different investment logic. This divergence between the two assets reflects a deeper debate about how sophisticated fund managers evaluate opportunities in the modern tech ecosystem.

Cryptocurrencies are part of Khan’s tech portfolio but not part of his AI strategy. Although popular narratives insist on an inevitable convergence between the two sectors, Khan challenges this premise. For him, when it comes to artificial intelligence, the equation is straightforward: invest in productivity and economic growth. Cryptocurrencies, on the other hand, follow a different logic that places them outside this analytical framework.

Khan is founder and chairman of the investment committee at Proem Asset Management, a tech-focused firm managing $450 million. His background includes a strategic stint at Snap, where he led the company toward its IPO, as well as a distinguished career in internet investment banking at Credit Suisse, working on major deals like Alibaba’s record-breaking IPO. This experience shapes his view on how technological transformations generate returns for investors.

Proem’s Investment Strategy: Selective Focus on Cryptocurrencies

Although the firm maintains some exposure to crypto-related assets, Proem deliberately limits direct holdings in tokens. According to the latest 13F reports, the firm holds stakes in Coinbase (COIN) and Robinhood (HOOD), as well as participation in Bitcoin miner Iren (IREN) and access to spot Bitcoin via the iShares Bitcoin Trust (IBIT). Khan emphasizes that these positions are part of their broader tech mandate, not a specific AI strategy.

This distinction is intentional. While Proem’s AI thesis focuses on identifying companies benefiting from deep structural changes in technology—especially in productivity—cryptocurrencies do not meet these criteria. Exposure to them is a tactical component within the broader tech sector, but not a strategic pillar of their AI bets.

Why Do Some See a Convergence Between Crypto and AI?

Not everyone shares Khan’s separatist view. Many analysts and investors argue there is a logical intersection between cryptocurrencies and artificial intelligence. Their core argument: both rely on decentralized computing networks and complex data infrastructures.

From this perspective, blockchains provide payment mechanisms and coordination systems for AI services operating globally without a central owner. Autonomous agents driven by AI could, according to this reasoning, bypass traditional credit card networks in favor of stablecoins. A recent report from Citrini Research outlined this scenario, suggesting blockchain-based systems could play a crucial role in tracking how AI models use data, verify results, and manage identities for autonomous software agents.

While this convergence remains largely experimental, it has sparked a wave of startups attempting to link AI development with cryptographic networks. Meanwhile, Bitcoin miners have pivoted toward AI infrastructure, repurposing data centers and energy capacity for AI computing. Even NYDIG, a financial services firm, suggests Bitcoin could benefit from exponential AI growth, especially if automation pressures labor markets and prompts authorities to inject liquidity.

Rising Concerns About an AI Bubble Intensify Sector Debates

Khan’s comments come at a critical moment for the industry. The surge in AI investment, triggered by the launch of ChatGPT, shows signs of slowing down. Nvidia (NVDA), a dominant provider of chips for training AI models, and Broadcom (AVGO), a manufacturer of custom chips for AI and networking, have fallen about 5% year-to-date, reflecting growing skepticism about the returns on massive AI investments.

The Citrini report that caused market panic described a hypothetical scenario for 2028: widespread AI adoption leading to mass white-collar unemployment and a collapse in consumer spending. Although disturbing, Khan contextualizes these fears. Similar concerns have accompanied nearly every technological revolution before. “If you read Karl Marx, he said the same thing about machines 200 years ago,” Khan comments. “Today, we’re experiencing an AI revolution that could rival the Industrial Revolution, and the arguments are identical.”

Khan emphasizes that historically, new technologies tend to transform labor markets rather than eliminate them. Each wave of innovation creates new job categories—a pattern repeated from industrial mechanization to the digital era.

Market Movements: Current Data from the Crypto Ecosystem

As of March 24, 2026, cryptocurrencies show renewed dynamism. Bitcoin was trading around $70,600, up 3.34% in the last 24 hours. Ethereum increased by 3.47%, Solana rose 3.97%, and Dogecoin added 2.49%, demonstrating broad strength across the sector.

These positive moves accompany broader risk market trends, with the S&P 500 and Nasdaq advancing approximately 1.2%. Analysts suggest that Bitcoin’s next key move will depend on stabilization in oil prices and Strait of Hormuz logistics, factors that could allow a test of the $74,000 to $76,000 range or alternatively push prices toward $60,000.

In this environment of volatility and institutional repositioning, Khan’s perspective is particularly relevant: even as cryptocurrencies gain ground as an asset class, some of the most sophisticated managers maintain selective strategic positions, prioritizing exposure to structural transformations driven by artificial intelligence.