The Securities and Exchange Commission has opened an investigation into the dramatic near-collapse of Situational Awareness, an artificial intelligence-powered hedge fund whose troubles sent shockwaves through Wall Street earlier this year, according to three people with knowledge of the regulatory outreach.

Federal regulators have issued subpoenas to several major Wall Street banks demanding information about their trading relationships with the fund, the sources said. The investigation marks one of the most significant regulatory examinations yet of how AI-driven investment strategies can amplify market instability when things go wrong.

Situational Awareness had been among the darlings of the quantitative investing world, using machine learning algorithms to execute high-frequency trades across global markets. The fund's troubles represent a cautionary tale about the risks lurking in an increasingly automated financial system where split-second decisions by computer programs can cascade into systemic problems.

The Unraveling

The SEC's investigation focuses on the trading activity surrounding the fund's implosion, though the specific concerns driving the probe remain unclear. Regulators appear particularly interested in understanding how major financial institutions interacted with Situational Awareness during its period of distress and whether any improper conduct occurred.

The subpoenas, according to sources briefed on the matter, seek detailed records of trades, communications, and risk assessments related to the fund. Banks are being asked to produce documents showing how they managed their exposure to Situational Awareness as its positions deteriorated.

Neither the SEC nor representatives for Situational Awareness responded to requests for comment. The major banks contacted also declined to discuss the investigation.

AI's Double-Edged Sword

The case highlights growing concerns among regulators about the role of artificial intelligence in financial markets. While AI-driven strategies can process vast amounts of data and identify trading opportunities faster than any human, they can also amplify losses and contribute to market volatility when their models encounter unexpected conditions.

Hedge funds using AI and machine learning have proliferated in recent years, attracting billions in investment from pension funds, endowments, and wealthy individuals. These funds promise superior returns by exploiting market inefficiencies that human traders might miss. But critics warn that when multiple AI systems make similar decisions simultaneously, they can create feedback loops that destabilize markets.

The near-collapse of Situational Awareness reportedly occurred after its algorithms made a series of poorly-timed bets that spiraled into mounting losses. As the fund's positions unwound, the selling pressure may have triggered further algorithmic responses from other market participants, creating the kind of cascade effect that regulators fear.

Echoes of Past Crises

The investigation evokes memories of previous hedge fund blowups that required regulatory intervention. Long-Term Capital Management's 1998 collapse nearly brought down the global financial system, prompting a Federal Reserve-orchestrated bailout. More recently, the 2021 implosion of Archegos Capital Management left major banks holding billions in losses.

What makes the Situational Awareness case particularly notable is the central role of artificial intelligence. Unlike previous hedge fund disasters driven primarily by human judgment errors or excessive leverage, this incident raises questions about whether existing regulatory frameworks adequately address the unique risks posed by algorithmic trading.

The SEC has been working to understand and regulate AI's growing influence across financial markets. Chair Gary Gensler has repeatedly warned about the potential for AI-driven herding behavior, where multiple algorithms make similar decisions based on comparable data sets, potentially creating new sources of systemic risk.

What Comes Next

The investigation is still in its early stages, and it remains unclear whether regulators will ultimately bring any enforcement actions. The SEC could be examining whether banks properly managed their risk exposure, whether the fund adequately disclosed its strategies to investors, or whether any market manipulation occurred during the crisis.

For the broader hedge fund industry, the probe serves as a reminder that regulatory scrutiny of AI-driven investing is intensifying. Funds relying heavily on algorithmic strategies may face increased pressure to demonstrate robust risk controls and stress-testing procedures.

The outcome could also influence how banks approach their relationships with quantitative hedge funds. If regulators determine that financial institutions failed to adequately monitor their exposure to Situational Awareness, it could lead to stricter requirements for due diligence and risk management when dealing with algorithmically-driven clients.

As artificial intelligence becomes increasingly embedded in financial markets, cases like Situational Awareness will likely become more common. The question facing regulators is whether they can develop frameworks that harness AI's benefits while containing its risks—before the next near-miss becomes something worse.

For now, Wall Street is watching closely as the SEC's investigation unfolds, knowing that the answers could reshape how the industry deploys its most powerful new tool.