The asset management sector is in the midst of a technological arms race, driven by escalating data volumes, compressed market reaction times, and investor demand for greater precision and consistency. Traditional portfolio construction methods, heavily reliant on human judgment, are increasingly challenged by algorithmic systems that can evaluate vast datasets at scale. While artificial intelligence has gradually become embedded in financial research and analytics, it has rarely been entrusted with full decision-making authority.
FINQ is attempting to change that equation. The AI-managed fund manager has introduced AIUP and AINT*, two actively managed U.S. large-cap equity ETFs now available to investors. The launch marks FINQ’s official entry into the U.S. ETF market, powered by a proprietary autonomous AI model licensed from its parent company. The firm positions these funds as the first SEC-registered ETFs to operate under full AI portfolio management.
Replacing Legacy Investment Frameworks With Autonomous Intelligence
For generations, investors have largely chosen between two dominant strategies: active management by portfolio managers and passive index-tracking that mirrors market performance. FINQ is advancing a new model centered on continuous, machine-driven market evaluation.
The company’s proprietary AI framework performs daily ranking of all 500 companies within the S&P 500® Index. These rankings directly guide portfolio construction decisions, including stock selection, allocation weighting, and rebalancing adjustments. The system operates through a structured and repeatable methodology designed to eliminate discretionary bias.
Human involvement remains intentionally limited. Oversight and governance functions ensure regulatory alignment and operational safeguards, but all portfolio management decisions are executed exclusively through FINQ’s AI engine.
Moving From AI Assistance to AI Authority
Artificial intelligence has become a widely marketed capability across investment firms, often promoted as enhancing research or generating predictive signals. However, most strategies still rely on human managers to validate insights and execute trades.
FINQ’s ETFs introduce a significantly different structure. AIUP and AINT* rely entirely on AI to direct investment activity. Security selection, position sizing, and portfolio rebalancing are all determined through daily AI-generated rankings across the S&P 500® universe.
For the first time ever in the US-regulated ETF market, humans do not select securities, override signals, or adjust portfolios based on narratives or market sentiment. Instead, human roles are limited to supervisory responsibilities that ensure the system operates within predefined regulatory and operational parameters. This structure introduces FINQ’s classification of AI-managed ETFs, in which artificial intelligence serves as the investment manager.
“AI in the investment world has the capacity to outperform humans,” said Eldad Tamir, Founder and CEO of FINQ. “FINQ is built on a data-only system that makes investment decisions much better than humans, as it has the ability to process immense amounts of data, without the disadvantages aligned with human fear, greed, urgency to act, and other disabling human attributes.”
A Single AI Core Delivering Dual Investment Strategies
Both ETFs share the same AI architecture and data infrastructure but use different portfolio construction techniques to achieve different market exposures.
AIUP focuses on maintaining long-term exposure to U.S. large-cap equities that rank highest according to FINQ’s daily AI evaluations. The strategy is structured to consistently maintain holdings in the system’s top-ranked companies.
AINT* introduces a more advanced framework by short-selling the lowest-ranked securities while using generated capital to purchase 1 of the highest-ranked stocks for each dollar invested. The fund maintains a dollar-neutral position, designed to capture performance opportunities regardless of broader market direction.
Packaging Advanced AI Into Accessible Investment Vehicles
FINQ views the ETF format as a strategic channel for delivering advanced AI-driven investment strategies to a broad investor base. By embedding its autonomous framework within widely adopted, cost-efficient ETF structures, the firm aims to simplify access to systematic, data-driven portfolio management.
“AIUP and AINT* reflect FINQ’s belief that the future of investing lies in systematic, data-driven decision-making,” said Eldad Tamir, Founder and CEO of FINQ. “By delivering AI-managed strategies through ETFs, we aim to make advanced investment frameworks accessible within a structure investors already know and trust.”
The Moment Portfolio Management Stops Being Human-Led
The introduction of fully AI-controlled ETFs represents a potential turning point in how investment authority is defined. As financial markets continue to expand in complexity and speed, autonomous portfolio systems like those introduced by FINQ may reshape competitive dynamics across asset management, signaling a future in which machine intelligence becomes a primary driver of investment strategy execution.