Navitas Semiconductor Targets AI Power Efficiency Amid Rising Energy Costs

As artificial intelligence infrastructure expands, the resulting strain on global power grids is driving a surge in demand for advanced power management semiconductors. Navitas Semiconductor (NASDAQ: NVTS) is positioning itself as a key provider of high-efficiency alternatives to traditional silicon-based components. Unlike primary AI chipmakers such as Nvidia or Broadcom, Navitas focuses on the circuitry that manages, converts, and delivers power to processors. By utilizing gallium nitride (GaN) and silicon carbide (SiC), the company aims to lower the operational costs of data centers, which are currently facing soaring electricity prices. The energy requirements for AI are substantial; a single AI GPU can consume approximately five times the power of a standard computer processor. According to data from the International Energy Agency and Pew Research, electricity usage for U.S. data centers is projected to double by 2030. This trend is reflected in U.S. Bureau of Labor Statistics data, which shows average electricity costs have risen over 40% in the last six years. Navitas's technical offerings include a new 10 kW GaN DC-DC converter designed for data centers that offers up to 98.5% power efficiency. However, the company's financial performance has been volatile. Revenue fell 45% from 2024 to 2025, and the company continues to operate with a negative bottom line. Despite these immediate financial challenges, industry forecasts remain positive. Mordor Intelligence projects the global silicon carbide market to grow by 11% annually and the gallium nitride semiconductor business to grow by 17% through 2031, providing a significant long-term tailwind for specialized power semiconductor firms.