Make Hardware Great Again
By now you're aware of the collective angst in the US about 5G. Why is the US not a leader in 5G ? Could that also happen -- indeed, is it happening -- in AI ? If we lead in other areas, why not 5G ? What makes it so hard ? This...
Summary
Jeff Brower's blog post examines why the U.S. has not led the 5G rollout and why similar gaps could emerge in AI hardware. Readers will get a concise diagnosis of technical, economic, and policy obstacles and practical ideas for how engineers and organizations can strengthen hardware-driven competitiveness in communications and AI.
Key Takeaways
- Identify the technical and non-technical bottlenecks (supply chain, standards, capital, and design ecosystems) that limit U.S. leadership in 5G and AI hardware.
- Analyze the role of hardware/software co-design and real-time DSP acceleration (ASICs, FPGAs) in delivering competitive communications and AI systems.
- Evaluate policy and industry-level actions (investment priorities, standards engagement, workforce development) that influence hardware innovation.
- Recommend actionable steps for engineering teams to prioritize hardware-enabled differentiation, including prototyping approaches and partnerships with fabrication and systems integrators.
Who Should Read This
Engineering leads, system architects, and experienced engineers in communications, DSP, and AI who want to understand hardware-driven barriers to product leadership and practical steps to address them.
Still RelevantIntermediate
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