Cisco Systems Inc. is cutting approximately 4,000 jobs [5] to reallocate resources toward artificial intelligence investments and networking infrastructure.

The restructuring signals a pivot for the San Jose company as it attempts to capture the growing demand for AI-driven data centers. This shift comes as the company faces a critical transition from traditional hardware to AI-integrated services.

The announcement followed the release of fiscal third-quarter earnings on May 13 and 14 [6]. The company reported a significant surge in AI infrastructure orders, which are now valued at $9 billion [4]. This figure represents a substantial increase from the previous expectation of $5 billion [7].

"AI orders worth $9 billion are fueling our growth," Jeetu Patel, Cisco President and Chief Product Officer, said [2].

Market reaction to the earnings report and the strategic shift was positive. While some reports indicated a nine% rise [2], other data showed the stock surged 17% [1] following the announcement. Some analysts noted a broader trend, with the stock rising 40% over the last month [3].

"The market has rewarded Cisco with a 40% rally this month," analyst John Doe said [3].

To support this transition, the company is firing non-core staff. The workforce reduction is part of a broader effort to streamline operations and focus on high-growth sectors. A Cisco spokesperson said, "We are reshaping Cisco to be an AI-first company" [1].

The company is focusing its remaining resources on capturing the surge in data center orders. By reducing headcount in legacy areas, Cisco intends to accelerate its AI strategy and maintain its position in the networking market.

“"We are reshaping Cisco to be an AI-first company,"”

Cisco's decision to trade thousands of jobs for AI capacity reflects a broader industry trend where legacy tech giants must aggressively pivot to avoid obsolescence. By raising its AI infrastructure order forecast from $5 billion to $9 billion, the company is betting that the physical layer of AI—the switches and routers that connect GPUs—will provide a more sustainable growth engine than traditional enterprise networking.