The IEEE Computer Society just released its Technology Predictions for 2026. Buried in the 26 trends is a blunt warning: the whole AI machine stalls unless someone solves power generation and trust. Those are the two hardest limits on scaling, the forecast says. Without them, the infrastructure cannot hold.
Infrastructure is the key word. IEEE is arguing that AI is no longer a tool you turn on and off. It is becoming like electricity or the internet. Always on. Always there. That shift carries real stakes.
Control is the first one. Who controls energy, data and trust in an AI-driven world? That question is central to the forecast. The group sees embodied AI — robots, drones, autonomous systems — scaling across manufacturing, logistics and cities. Robotaxis are moving toward dense urban services. Hardware is finally catching up to software. But none of that works without massive power generation. And none of it works if nobody trusts the data feeding it.
Trust includes data provenance and identity. That is not abstract. AI-generated video, music and documents are maturing fast. Social AI that reads emotion and adjusts tone is emerging. Always-on wearable AI devices are rising. Each brings privacy questions. Each demands proof that the information flowing through the system is real, not fabricated. Quantum-safe cryptography is on the horizon for exactly this reason. IEEE sees it as a necessary layer.
Then there is the competitive angle. Competitive advantage, the forecast argues, will move from headcount to how effectively organizations apply intelligence. That is a direct threat to any company that still thinks hiring more people is the answer. AI agents are expected to become standard team members across office work. The question is no longer whether AI arrives. It is who controls the energy, the data and the trust.
Medicine gets singled out. Among all applications, IEEE calls engineered therapeutics the largest potential impact. AI-driven scientific discovery is a key trend. Digital twins — AI-enabled replicas of physical systems — are becoming practical tools. In-memory computing that prioritizes performance-per-watt over raw speed is gaining ground. These are not distant possibilities. They are trends IEEE expects to define the year ahead.
The forecast consolidates the IEEE Computer Society’s outlook into 26 trends. That is a lot. But the core is simple. AI is becoming infrastructure. Infrastructure needs power. Infrastructure needs trust. Without both, the whole thing wobbles.
The report does not pretend this is easy. It does not pretend the hardware is fully ready. It does not pretend the privacy questions have answers. It just lays out what is coming and what has to be solved. Power generation. Data provenance. Identity. Those are the bottlenecks. Those are the stakes.
