Google CEO Sundar Pichai has dismissed concerns that the company's rapid expansion of its proprietary artificial intelligence infrastructure threatens Nvidia's market dominance. He argued that global demand for AI compute is growing fast enough for multiple chipmakers to prosper.
As global demand for AI computing power surges, conventional ground-based data centers are increasingly constrained by limits in energy supply and cooling capacity.
As generative AI applications surge, global venture investment has shown a steady rebound, with AI and robotics emerging as two of the most sought-after sectors. Sensing the momentum of this technological shift, Abico Asia Capital has already repositioned its portfolio and will make AI, robotics, and semiconductors its core investment pillars for 2026. The firm also emphasized its commitment to identifying Taiwan's "hidden champions" and helping them upgrade and globalize their supply chains.
Google's expanding Tensor Processing Unit (TPU) strategy is emerging as a serious challenge to Nvidia's long-running dominance in AI accelerators, particularly after a report from The Information revealed that Meta is in talks to begin using Google TPUs in its data centers in 2027 under a potential multibillion-dollar agreement.
