VistaShares Artificial Intelligence Supercycle ETF (AIS) Covered Calls
VistaShares Artificial Intelligence Supercycle ETF is an actively managed exchange-traded fund that targets global companies leading the artificial intelligence revolution. The firm utilizes a thematic indexing approach to weight firms involved in AI hardware, cloud infrastructure, and software applications. By focusing on liquidity and thematic relevance, the fund provides investors with diversified exposure to the end-to-end AI ecosystem in a single vehicle.
You can sell covered calls on VistaShares Artificial Intelligence Supercycle ETF to lower risk and earn monthly income. Born To Sell's covered call screener gives you customized search capabilities across all possible covered calls but here are a couple of examples for AIS (prices last updated Fri 4:16 PM ET):
| VistaShares Artificial Intelligence Supercycle ETF (AIS) Stock Quote | ||||||
|---|---|---|---|---|---|---|
| Last | Change | Bid | Ask | Volume | P/E | Market Cap |
| 53.43 | +1.43 | 45.20 | 79.93 | 316K | - | 0.0 |
| Covered Calls For VistaShares Artificial Intelligence Supercycle ETF (AIS) | ||||||
|---|---|---|---|---|---|---|
| Expiration | Strike | Call Bid | Net Debit | Return If Flat |
Annualized Return If Flat |
|
| May 15 | 55 | 0.05 | 79.88 | -31.1% | -391.4% | |
| Jun 18 | 53 | 2.15 | 77.78 | -31.9% | -184.8% | |
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The VistaShares Artificial Intelligence Supercycle ETF (AIS) is a high-growth thematic fund designed to capture the structural shift toward autonomous intelligence and hyperscale computing. Launched in late 2024, the fund has quickly become a benchmark for "AI Purity" by avoiding broad-market tech dilution. It focuses on the "Supercycle" of capital expenditure as global enterprises and sovereign nations race to build out the physical and digital infrastructure required for generative AI.
2026 Performance and Portfolio Strategy
By April 2026, AIS emerged as a top-tier performer in the thematic tech space, posting a year-to-date gain of 12.6% and a staggering 148% return over the trailing twelve months. The fund’s success is attributed to its "Hardware-First" tilt during the early 2026 build-out phase. Its top holdings reflect this strategy, with significant weightings in SK Hynix (8.3%), Micron Technology (5.8%), and Vertiv (5.4%). This concentration in memory and data center cooling has allowed the fund to outperform more software-heavy peers.
The fund management team, led by Qiao Duan and Christopher Mullen, actively rebalances the portfolio to capture emerging leaders in "Physical AI" and robotics. In early 2026, the fund increased its exposure to GE Vernova and Foxconn Industrial Internet, betting on the convergence of energy infrastructure and AI server assembly. With a net expense ratio of 0.75% and total assets under management reaching $215 million, AIS offers a specialized alternative to traditional market-cap-weighted technology indexes.
Competitive Landscape
The AI ETF market is intensely competitive, with AIS vying for investor capital against massive established funds and specialized innovation vehicles. Key competitors include:
- Global X Artificial Intelligence & Technology ETF: One of the largest funds in the category. It competes by tracking a broad index of nearly 100 companies, providing more diversified exposure to AI "engagers" like Microsoft and Alphabet alongside hardware providers.
- WisdomTree Artificial Intelligence and Innovation Fund: A prominent competitor that focuses on the entire AI value chain. They compete through a disciplined weighting methodology that limits individual stock concentration, offering a more balanced risk profile than the top-heavy AIS.
- First Trust Nasdaq Artificial Intelligence and Robotics ETF: A specialized peer that bridges the gap between software AI and physical robotics. They compete for investors looking for exposure to industrial automation and autonomous vehicle technologies.
- Global X Robotics & Artificial Intelligence ETF: A leading fund focused specifically on the applied use of AI in robotics. They compete by targeting a different segment of the ecosystem, focusing on healthcare robotics and industrial "cobots" rather than pure data center infrastructure.
Strategic Outlook for 2026
The fund’s outlook for the remainder of 2026 remains bullish, supported by a projected $5-8 trillion in global AI-related capital expenditure through the end of the decade. Management is currently prioritizing "Energy Resilience" as a core investment theme, identifying power grid equipment and nuclear energy providers as the next bottleneck in the AI supercycle. This tactical shift is intended to protect the fund against potential valuation cooling in the high-flying semiconductor sector.
AIS maintains an active options market, with investors frequently utilizing its volatility for covered call and protective put strategies. As the "Agentic AI" era begins to materialize in late 2026, the fund is positioned to rotate capital into specialized software firms that can demonstrate clear monetization of AI tools. Management remains committed to its high-conviction approach, seeking to maintain its 5-star rating by identifying the next batch of AI winners before they reach mega-cap status.
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| 1. | SLV covered calls | 6. | GLD covered calls | 1. | CMPX covered calls | |
| 2. | NVDA covered calls | 7. | HYG covered calls | 2. | FRMI covered calls | |
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Want more examples? AIRR Covered Calls | AIT Covered Calls
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Covered Call Strategy Risks: While covered call writing is often considered a conservative options strategy, it is not without risk. By selling a covered call, you are limiting your potential upside profit from the underlying stock. You remain exposed to the full downside risk of owning the underlying stock. In the event of a significant decline in the stock price, the premium received may not be sufficient to offset your losses.
No Guarantee of Performance: Past performance is not indicative of future results. Any examples, calculations, or hypothetical scenarios presented on this site are for illustrative purposes only and do not guarantee future returns or outcomes. Market conditions, liquidity, and trading system failures can affect your ability to execute trades at desired prices.
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