THNQ ETF covers AI value chain as sector volatility persists
The ROBO Global Artificial Intelligence ETF (THNQ) offers exposure across the full AI value chain, from hardware and infrastructure to software and cybersecurity, as single-stock volatility pushes investors toward diversified AI strategies.
"There's a lot of funds in these categories and we've seen all of them find assets, find traction, as folks try to diversify that single stock risk," Cinthia Murphy, Director of Research at VettaFi, said on Yahoo! Finance. "A stock leads today, lags tomorrow, leads again the day after. It's too much volatility for a lot of investors."
THNQ tracks the ROBO Global Artificial Intelligence Index, which weights constituents using a proprietary "THNQ score" that measures each company's investment in AI research and development, revenue exposure, and leadership within the AI industry. Companies must score at least 50 to qualify for inclusion, with higher scores commanding larger portfolio allocations. The index requires a minimum market capitalization of $200 million and a trailing three-month average daily volume of $1 million, filtering out smaller or illiquid names.
The fund's holdings span hardware names, software companies, cybersecurity firms, data platforms, cloud providers, and AI adopters, Murphy said. The approach avoids over-reliance on any single mega-cap name by focusing on pure-play AI innovators globally. THNQ has delivered a trailing one-year return of 37.53 percent and a year-to-date return of 33.29 percent, with a beta of 0.95 relative to the broader market, according to ETF data.
**Why the full value chain matters**
The AI investment landscape has become increasingly difficult to navigate as leadership rotates rapidly among companies. Nvidia dominated the early phase of AI infrastructure spending, but the focus has shifted toward inference, software monetization, and enterprise adoption — areas where different players may emerge as winners. Murphy noted that trying to time which company will lead at any given moment is a losing strategy given the pace of change across the AI ecosystem.
THNQ's structure addresses this by distributing exposure across multiple layers of the AI stack. The index methodology screens for companies that derive a distinct portion of their business and revenue from AI, ensuring that holdings are genuine AI plays rather than broad technology names with tangential exposure. This approach has helped the fund capture upside across different phases of the AI cycle while mitigating the drawdown risk of concentrated single-stock positions.
**Investment implications**
For investors seeking AI exposure without the volatility of individual names, THNQ offers a diversified alternative to concentrated bets on Nvidia or other mega-cap leaders. The fund's 0.95 beta suggests it moves largely in line with the market while its 37.53 percent trailing return has outpaced many broad technology indices. With AI capital expenditure continuing to grow across cloud providers and enterprises, funds that cover the full value chain may benefit from multiple growth drivers rather than relying on any single company's performance.
This article is for informational purposes only and does not constitute investment advice.
