The demand for energy is growing at an ever-accelerating rate. As data centers begin to come online with increasing frequency, this problem is only going to increase, and AI demand is sure not slowing down yet.

Seoul, Korea – 13 July 2026 – Infineon Technologies AG and LS ELECTRIC have signed a Memorandum of Understanding (MoU) to collaborate on high-efficiency direct current (DC) power infrastructure solutions for AI data centers and next-generation power grids.
 

On this episode of Embedded Insiders, Ethan Gibbs, CEO of Embedder, joins us to discuss his company's AI firmware engineering platform. Built for embedded development, the Embedder hardware-aware coding agent is designed to reduce the time it takes engineers to read datasheets and write the code. It poses the question: What happens when AI actually understands the hardware?

As AI gets smarter, it raises the bar for the bad guys to do their bad things. We are in a constant race to stay ahead, and there is seemingly no end in sight. 

To understand what this means and what can be done to (hopefully) stay ahead of the curve, I spoke to Steve Hanna, a Distinguished Engineer from Infineon, on this week’s Embedded Executives podcast.

This whitepaper helps you understand in simple terms what quantum computing is, what’s driving its growth, the biggest threats surrounding it, and why there is significant interest in post-quantum cryptography (PQC).

The XMC5000 MCU features an Arm®️ Cortex®️-M4F at 160 MHz, a memory spectrum up to 2 MB flash, up to 256 KB SRAM, and an Arm®️ Cortex®️-M0+ dedicated to cryptography. It supports input supply from 2.7V to 5.5V, scalable packaging up to 144 pins, and low power modes. With scalability to XMC7000 and ModusToolbox support, XMC5000 ensures robustness in harsh environments, offering advanced security and safety features.

End devices are shipping with the AI box checked. In other words, OEMs are saying that their products are AI-enabled. But are they really, or is this just marketing spin?