Artificial intelligence has spent years promising to disrupt asset management. FINQ is now testing that promise in listed funds.
Contributed article by an outside author, not by the TNW newsroom. TNW has not verified its claims and does not endorse them. It is not investment advice or an offer to buy or sell securities.
The AI-managed ETFs from FINQ are an example of portfolio construction delegated to a fully systematic, continuously learning model rather than human discretion. The two funds, the FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF (AIUP) and the FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF (AINT), began trading on NYSE Arca on February 5, 2026.
According to FINQ, AI in these strategies does not just assist investment decisions. It makes them end-to-end.
Inside the Machine: How the AI Is Allocating Capital
At the core of both ETFs is FINQ’s proprietary AI framework, a system designed to continuously rank, select, and weight index constituents using real-time data signals.
According to FINQ, rather than relying on periodic rebalance cycles or discretionary analyst calls, the model evaluates vast streams of financial and market data across every constituent in the index universe. It then adjusts exposure based on its changing assessment of each stock.
The result is two distinct implementations of the same intelligence layer:
AIUP: A long-only large-cap equity ETF that concentrates exposure in top-ranked names while maintaining broad index alignment.
AINT: A dollar-neutral long/short strategy that goes long high-ranked stocks while shorting the lowest-ranked, effectively isolating the AI’s relative ranking signal.
This dual structure allows FINQ to test the same intelligence system under two different market exposures: directional and market-neutral.
A Shift in How Portfolios Are Built
Traditional active management relies heavily on analyst interpretation layered on top of fundamental and quantitative signals. FINQ’s approach removes that interpretive layer entirely.
Instead, allocation decisions are produced by an autonomous system that recalculates positioning as new information arrives, without waiting for human review cycles.
As the company describes it, the system is designed to respond to markets rather than interpret them after the fact.
That distinction is increasingly relevant in an environment where index performance is often driven by a small number of rapidly rotating leaders.
“Autonomous Investing Will Continue to Reshape Asset Management”
“I believe autonomous investing will continue to reshape asset management,” said Eldad Tamir, founder and CEO of FINQ.
His statement reflects a broader shift in the industry conversation, from whether AI can participate in portfolio management to whether it can eventually replace the decision layer entirely.
The Road Ahead
Both ETFs are in the earliest stage of their performance history, and past performance is not indicative of future results.
How the model behaves through different market regimes will show whether the approach holds up over time. In FINQ’s case, AI is not just a tool in asset management. It is the manager.
Before investing, consider the funds’ objectives, risks, charges and expenses in the prospectus at finqai.com. Principal loss is possible.
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Contributed article. Not produced by the TNW newsroom and does not reflect the editorial stance of TNW.