30 April 2026
Webinars
Watch the full recording of the webinar on our YouTube channel here!
This TDL webinar took place on Thursday, 30 April with a fascinating and timely discussion on a key economic and technical topic. AI is and has, for some time, been front and centre in economic growth, productivity gains and job market realignment. It has also been a key factor in growing energy consumption.
Combined with slow efficiency gains, skyrocketing energy needs for AI create major concerns. Some efficiency gains have been achieved and more attention is paid to this aspect today, but, with growing model sizes, longer training and more versatile utilisation of AI, improvements lead to Jevons paradox where greater efficiency leads to greater utilisation. High power density and heat concentration in hardware begin to affect architecture choices and deployment. Infrastructure constraints, inefficient algorithms and faulty hardware add to the problem.
The panel addressed the issues of energy consumption and sustainability in AI, highlight major challenges and propose mitigations to the current AI-related energy issues.
The speakers were:
- Ro Cammarota, Associate Professor, Chief Scientist, Advisor, Leader in Encrypted Computing & Privacy-Preserving AI
- Sean Koehl, Senior Director of Tech Leadership and Communities, Intel Labs (retired)
- Rahima Mohammad, Semiconductor Technical Advisor, Vinci4D.ai
- Marcus Pan, Chair, AI and Mixed-Signal Hardware Track, IEEE Design Automation Conference (DAC)
The session was moderated by TDL strategic adviser, Claire Vishik
Read the full summary of the webinar on our Substack blog here!