SAN FRANCISCO | The same AI boom driving chip demand is also forcing governments and companies to confront how advanced models may change cyber risk.
Micron’s strong outlook and Qualcomm’s data-center expectations show that AI workloads are still supporting real hardware demand. Memory, storage, networking and power-hungry data centers are becoming core pieces of the AI economy.
At the same time, Five Eyes intelligence warnings about new AI models highlight a different side of the buildout. AI can help defenders analyze threats, but it can also help attackers write code, impersonate targets and accelerate reconnaissance.
This dual-use reality means technology policy cannot focus only on innovation or only on restriction. Companies need secure development practices, user controls, model monitoring and incident response planning as adoption spreads.
The corporate governance issue is also growing. Boards that approve AI spending will be expected to understand data protection, supply-chain exposure, cloud concentration and workforce impacts.
The next phase will be measured by whether AI spending produces durable productivity without creating unmanaged security risk.