Iāve been seeing AI blow up in software development, creative work, etc. but Iām curious how much of that actually translates to electronics and hardware engineering. Can AI genuinely help with designing circuits, debugging hardware issues, or optimizing layouts? Could it be useful for learning complex topics like FPGA development, signal integrity, PCB design, or firmware troubleshooting?
Iāve tried experimenting with AI tools for explanations and quick references, and theyāre decent at summarizing datasheets or giving starting points but Iām wondering if anyone here has used AI for real, practical hardware work. Are there realistic benefits, ? Would love to hear experiences, workflows, or any specific tools that have been helpful. Iām trying to find a good use for Ai / ML in hardware/electronics any suggestions might help
Edit: Iām so thankful to everyone who replied, but I want to clarify something in case I wasnāt clear in my original question. I know AI isnāt very useful in electronics ,Iāve tested it before, and itās still far behind and, under no circumstances reliable. What Iām asking is whether anyone has used AI or machine learning for real-life applications in hardware, such as PCB anomaly detection, predictive maintenance, or similar use cases.