I’ve been fortunate to spend my career working across the major technology shifts of the past three decades. I’m proud to have played a part bringing those transitions to life.
As an engineer since the 1990s, I’ve had the opportunity to work on architectures, systems and products ranging from consumer electronics to distributed systems, and AI and machine perception. I’ve developed the underlying technology and helped commercialize the products that eventually define eras — from Smartphones to Smart Speakers (Amazon Echo), and AR/VR. In the past decade-plus, I’ve been focused on developing and deploying the core technologies, primarily focused on AI and machine perception that will power the next generation of human-centric compute.
Each of these chapters marks a profound shift in the way the world operates. When the dominant underlying technology platform evolves, entire industries are reshaped, and society fundamentally changes on a cultural and economic level.
Nothing in recent memory — not the internet, not smartphones, is set to change the way we live and work quite like AI.
Yet, as astounding as AI’s mark on information workers and the digital realm has been, its impact on the physical economy can be exponentially greater.
AI has progressed to a state where we should fundamentally reimagine how the physical world operates. We’re only beginning to scratch the surface of what AI can do to improve the critical systems that power our infrastructure, produce our food, manufacture and move our goods, and much more. We are at a historical inflection point.
Every industrial revolution has, in some sense, been about automating muscle, freeing human hands from physical labor. Robotics and embodied AI are the continuation of that arc. But what’s different now is that we can also automate cognition. For the first time, intelligence itself can be deployed at scale, wherever it’s needed.
