VistaShares Artificial Intelligence Supercycle ETF surpasses $1 billion in assets under management

VistaShares’ Artificial Intelligence Supercycle ETF, trading under the ticker AIS, has crossed $1 billion in assets under management. For a fund that launched in early December 2024, that’s a growth trajectory most ETF issuers would trade a kidney for.

The milestone, announced on September 9, puts AIS in rare company. Most new ETFs struggle to gather $100 million in their first couple of years. AIS blew past $350 million by late April 2026 and then nearly tripled that figure in a matter of months.

The ‘Bill of Materials’ approach

What separates AIS from the crowded field of AI-themed funds is its investment philosophy. Rather than loading up on the usual suspects, the mega-cap software and platform companies that dominate most AI ETFs, AIS targets the entire AI infrastructure supply chain.

VistaShares calls this its “Bill of Materials” approach, and it’s patent-pending. That means the portfolio skews heavily toward semiconductors, memory chips, and data center hardware. Top holdings include names like SK hynix and Micron, the memory chip giants whose products are essential to training and running AI models. Vertiv, which makes cooling and power management systems for data centers, also features prominently.

The fund is actively managed and references the BITA VistaShares Artificial Intelligence Supercycle Index, with a focus on companies that are already generating revenue from AI infrastructure rather than those still pitching future potential. The expense ratio sits at 0.75%. The fund holds no cryptocurrency assets or tokens, which separates it from various competing funds.

Performance that speaks for itself

AIS ranked in the top 1% of the Morningstar US Fund, Technology category for 2025. The broader VistaShares ETF lineup has also benefited from the momentum. The firm’s total assets across all its ETF products surpassed $2 billion ahead of the AIS milestone announcement. VistaShares runs thematic ETFs across several other sectors, including electrification, space, defense, and robotics.

What the infrastructure bet really means

SK hynix, for example, has become one of the most important companies in the AI supply chain thanks to its high-bandwidth memory chips, which are critical components in Nvidia’s GPU systems. Micron occupies a similar position. These aren’t speculative bets on future technology. They’re companies shipping products today that AI developers literally cannot build without.

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