Artificial intelligence-related securities litigation continues to accelerate, with plaintiffs increasingly targeting not only alleged misstatements about AI products and capabilities, but also companies’ disclosures regarding their investments in AI and the impact of those investments on business operations.  A couple of recently filed lawsuits challenge AI-related spending and capital allocation decisions, which may underscore whether growing investor scrutiny of whether management adequately disclosed the financial risks, costs, and tradeoffs associated with aggressive AI initiatives.

Illustrating this emerging line of AI-related securities litigation, a shareholder lawsuit filed on July 29, 2026, against Rackspace Technology, Inc. (Rackspace), its CEO, and CFO in the Southern District of New York alleges that the company failed to disclose the financial and operational consequences of its enterprise AI strategy. As discussed in more detail below, the Rackspace SCA highlights how increasing scrutiny over companies’ AI-related spending may have significant impact on D&O underwriters.

A copy of the complaint can be found here.

The Securities Class Action Lawsuit

Rackspace is a cloud computing and managed services company that provides infrastructure, hosting, and cloud management solutions, including services that support enterprise AI workloads. According to the Rackspace SCA, the company’s Private Cloud segment, which provides dedicated cloud environments managed by Rackspace, generally generates higher operating margins. By contrast, its Public Cloud segment helps customers deploy and manage workloads on hyperscale cloud platforms, combining providers’ infrastructure with Rackspace’s managed services and support offerings.

The complaint alleges that, on May 7, 2026, Rackspace announced a memorandum of understanding with Advanced Micro Devices, Inc. (AMD) to create an Enterprise AI Cloud for regulated enterprises and sovereign workloads. Allegedly, the strategy would provide specialized infrastructure, governance controls, and computing power needed to support AI applications in highly secure environments. While consistent with Rackspace’s broader cloud-services business, the initiative purportedly represented an effort to expand into AI-focused infrastructure, requiring substantial investments and reallocation of resources from existing business segments.

During Rackspace’s related earnings call, company executives expressed confidence in the company’s growth outlook and reaffirmed full-year 2026 revenue, EBITDA, and cash-flow guidance. According to the shareholder plaintiffs, subsequent developments revealed the financial and operational consequences of Rackspace’s AI strategy.

In June 2026, the company announced an agreement with AMD to deploy AI computing capacity and a workforce reduction affecting approximately 15% of employees as part of a shift toward AI infrastructure and services. Less than a month later, on July 9, 2026, Rackspace allegedly cut its full-year revenue and EBITDA guidance, citing its exit from certain low-margin and legacy offerings, as well as near-term costs associated with AI investments and restructuring.

The complaint alleges that investors reacted negatively to the company’s revised guidance and disclosures regarding its AI-related spending, causing Rackspace’s share price to decline by 33.6%. The shareholder plaintiffs assert claims under Sections 10(b) and 20(a) of the Securities Exchange Act of 1934 and Rule 10b-5 and seek damages on behalf of the class.

Discussion

The Rackspace SCA is the latest addition to a growing wave of AI-related securities litigation. As The D&O Diary recently noted, Cornerstone Research’s 2026 Midyear Assessment identified 15 AI-related securities class action filings during the first half of 2026. Including the subsequently filed Wix.com and Rackspace actions would bring the 2026 total to 17. According to Cornerstone AI-related filings represented only 13% of core federal securities class actions during the first half of 2026, but they accounted for a disproportionately large share of investor losses.

Beyond contributing to the growing number of AI-related securities filings, the Rackspace SCA is interesting because it reflects the continuing evolution of the types of claims shareholder plaintiffs are asserting in connection with AI-related disclosures and business decisions. The Rackspace SCA alleges both inadequate disclosures regarding the company’s AI strategy and misstatements about its business outlook after heavy AI investment. Cornerstone classifies AI-related defendants into categories such as AI development, AI usage, AI infrastructure and hardware, and data centers, and the Rackspace SCA appears to fit most naturally within the AI infrastructure and data-center categories.

In addition, the allegations against Rackspace more closely resemble those asserted in the securities lawsuits filed earlier this year against Microsoft in July and Oracle in February. D&O Diary readers may recall that the Microsoft complaint alleges that the company failed to disclose the extent to which its AI strategy would require additional capital investment and the reallocation of CPU and GPU resources from its profitable Azure business to support Copilot and broader AI initiatives.

The Oracle complaint similarly challenges disclosures concerning the substantial capital expenditures, financing needs, and near-term financial pressures associated with the company’s AI infrastructure strategy.  Like those cases, the Rackspace SCA centers on allegations that investors were not adequately informed about the financial tradeoffs and operational consequences of an aggressive AI investment strategy.

For D&O underwriters, the allegations against Rackspace may reinforce the importance of evaluating whether a company’s AI strategy is grounded in realistic assumptions regarding funding, resource allocation, and expected returns. The case also highlights growing expectations that boards and senior management exercise effective oversight of AI-related initiatives and ensure that disclosures, guidance, and internal planning are aligned. As AI-related securities litigation continues to advance, D&O underwriters may want to focus on whether companies have governance and disclosure processes capable of identifying and addressing the financial and operational consequences of significant AI investments.

The Rackspace SCA underscores that AI-related risks may arise not only from what companies say about AI, but also from what they disclose about the costs and consequences of implementing their AI strategies. As AI investments continue to grow, boards, management teams and companies are likely to face increasing scrutiny of the governance and disclosure processes surrounding those initiatives.