AI-Washing in Securities Class Actions: A Growing Risk for Investors 

Artificial intelligence has quickly become one of the most powerful narratives in the market. It is also becoming one of the most scrutinized.

A new pattern is emerging in securities class actions. Companies are increasingly being challenged for overstating or misrepresenting how AI is being used. This trend, often referred to as “AI-washing,” is beginning to shape the next wave of investor litigation.

For institutional investors, this shift carries a clear implication. As narratives evolve, so too does the opportunity and the responsibility to monitor, file and recover.

Understanding AI-Washing and Its Market Impact

Two Cases Highlighting the Trend

What This Means for Institutional Investors

The Operational Gap: Identification vs Recovery

Where a Specialist Approach Becomes Critical

Looking Ahead

Understanding AI-Washing and Its Market Impact

AI-washing refers to situations where companies present their AI capabilities in a way that is misleading, exaggerated, or not supported by underlying operations.

In a market environment where AI is closely tied to growth expectations, even subtle misrepresentations can have material consequences:

• Inflated valuations based on perceived technological advantage
• Misleading guidance tied to AI-driven performance
• Overstated positioning in emerging AI markets

When these narratives unravel, they often result in sharp market corrections and, increasingly, securities class actions.

Two Cases Highlighting the Trend

AppLovin Corporation

The case against AppLovin centers on the company’s positioning of its AXON 2.0 advertising platform as a cutting-edge AI solution.

According to the complaint:

• • The company promoted AI-driven capabilities to enhance ad targeting and performance
  • Growth and profitability were presented as being supported by advanced technology
  • In reality, alleged practices included:
    
    
    1. Reverse-engineering and exploiting third-party advertising data
    2. Manipulating ad engagement metrics such as click-through and download rates
    3. Inflating installation and performance figures
       

Why it matters:
The case highlights how AI narratives can be used to support financial performance claims that may not reflect underlying business practices.

Skyworks Solutions

The Skyworks case takes a slightly different angle, focusing on strategic positioning rather than operational conduct.

Key allegations include:

• Overstating the company’s ability to benefit from the AI-driven smartphone upgrade cycle
• Misrepresenting the strength and continuity of its relationship with a key customer (Apple)
• Providing positive outlooks that lacked a reasonable basis given underlying risks

Why it matters:
Here, AI-washing is less about fabricated technology and more about overstating future opportunity tied to AI adoption.

What This Means for Institutional Investors

For investors, the implications are both strategic and operational.

1. Broader Litigation Landscape

AI-related claims are expanding the scope of securities class actions. Traditional sectors such as technology, semiconductors and digital advertising are now intersecting with AI-driven expectations.

2. Increased Complexity in Monitoring

AI-washing cases may not always be obvious. They often sit at the intersection of technical capability, financial reporting and forward-looking statements.

3. Growing Recovery Opportunities

As these cases move toward settlement, they create recoverable opportunities for eligible shareholders. Missing them may result in increasing amounts of foregone value.

The Operational Gap: Identification vs Recovery

Recognizing a claim is only the first step. The real challenge lies in capturing it.

Securities class action recovery requires:

• Continuous global monitoring across jurisdictions
• Accurate eligibility determination based on transaction data
• Timely filing within strict deadlines
• Ongoing management of documentation and follow-ups

In practice, many investors remain under-participated due to fragmented processes or reliance on non-specialist providers.

Where a Specialist Approach Becomes Critical

As litigation themes evolve, so must recovery strategies.

A structured, specialist-led approach ensures:

• Full visibility of emerging claims, including thematic trends such as AI-related litigation
• Timely filing, aligned with settlement timelines and jurisdictional requirements
• End-to-end management, from data collection to claim submission and reconciliation
• Integration with broader recovery strategies, including withholding tax recovery, to ensure no value is left unclaimed

WTax Class Actions supports institutional investors through a fully outsourced recovery framework, managing both securities class action and withholding tax recovery processes in a unified model. This ensures that opportunities are not only identified, but effectively realized.

Looking Ahead

AI-washing is unlikely to fade as a litigation theme. As companies continue to anchor their growth narratives in AI, scrutiny will intensify, and securities class actions will increasingly reflect this shift.

For institutional investors, this reinforces a broader reality. Recovery is not a passive, administrative function sitting at the end of the investment cycle. It is an active component of return protection and enhancement.

Ensuring that emerging claims are identified, assessed and filed in a timely and comprehensive manner is critical in an environment where new litigation themes can quickly translate into recoverable value.

As the landscape evolves, investors who treat recovery as a strategic priority, rather than a compliance exercise, will be better positioned to capture the full value available to them.

Stay ahead of emerging recovery opportunities. Contact WTax today.