Cadence Beats Quarterly Profit and Revenue Estimates on Strong AI-Linked Demand

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Cadence Design Systems exceeded both revenue and profit expectations in the fourth quarter, driven by growing demand for advanced artificial intelligence chip development tools.

The company, which provides specialized software for designing complex semiconductor systems, reported quarterly revenue of $1.44 billion, marking a 6.2% year-on-year increase. This surpassed analyst expectations of $1.42 billion. Adjusted earnings reached $1.99 per share, also beating forecasts.

Rising demand for AI-capable chips has significantly boosted the need for Cadence’s design solutions, which enable companies to create and test intricate processors used in high-performance computing environments. Its tools are essential for mapping circuit architecture and detecting potential thermal or electrical issues.

Chief Financial Officer John Wall highlighted record contract bookings in the fourth quarter, resulting in a backlog of $7.8 billion in future work. This positions the company with strong momentum entering 2026.

Cadence recently introduced a virtual AI agent designed to accelerate chip development processes, supporting major clients such as Nvidia in designing next-generation processors. The innovation reflects the growing strategic importance of chip design in global technology competition.

Looking ahead, Cadence expects 2026 revenue to reach between $5.9 billion and $6.0 billion, in line with market expectations.

Hedge Funds Trim AI Tech Holdings

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Major hedge funds including Tiger Global Management and Adage Capital Partners reduced their stakes in several leading artificial intelligence-linked companies during the final quarter of 2025, according to regulatory filings.

Tiger Global cut its holdings in Microsoft, Amazon and Nvidia, reflecting growing investor caution toward companies heavily investing in AI. Despite the reductions, Microsoft remains one of Tiger’s largest positions, valued at approximately $2.6 billion.

Similarly, Adage Capital trimmed its positions in Microsoft, Alphabet, Amazon and Nvidia, while increasing its stake in Oracle by around 19%, signaling a more selective approach to AI-related investments.

The adjustments come amid rising concerns that the strong valuations of leading tech firms may not be supported by future returns from massive AI spending. Investors have increasingly questioned whether long-term investments in AI infrastructure will deliver near-term financial results.

Elsewhere, SoftBank fully exited its Nvidia stake to free up capital for new investments, including its involvement in OpenAI. Quantitative hedge fund D.E. Shaw also reduced exposure to Nvidia, Micron and Meta, though it added to its Amazon and AMD holdings.

The moves suggest a shift toward cautious positioning as investors balance enthusiasm for AI growth with concerns over potential market overvaluation.

AT&T Sued Over Blocked Diversity Vote

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AT&T is facing a lawsuit from four New York City public pension funds that claim the company improperly prevented shareholders from voting on a proposal related to workforce diversity disclosures.

The funds allege that AT&T refused to include their proposal in its 2026 annual shareholder meeting agenda. The proposal sought public disclosure of the demographic breakdown of the company’s 133,000 employees by race, ethnicity, and gender.

According to the complaint filed in Manhattan federal court, AT&T justified the exclusion by citing a recent U.S. Securities and Exchange Commission policy change that allows companies to omit shareholder proposals if they believe there is a reasonable basis to do so.

The pension funds argue that SEC rules do not permit such a move and claim the decision harms shareholders by limiting transparency. They are seeking to block AT&T from distributing proxy materials that exclude the proposal.

The complaint notes that AT&T previously disclosed workforce diversity data publicly between 2021 and 2023, but stopped doing so in 2024 without explanation, despite continuing to submit the information to federal regulators.