Redefining Energy
Redefining Energy

218. Climate Tech Battle Royale - Mar26

02 March 2026 37:56 Laurent Segalen and Gerard Reid

Listen to episode

About this episode

Last month, Gerard Reid joined Shayle Kann, Managing Partner at Energy Impact Partners, for a world class and fast-moving conversation on the state and future of Climate Tech.   The discussion was organised by Carbon Equity and led by its co-founder Liza Rubinstein Malamud.

Originally it featured a third guest, Will Dufton of Giant Ventures, whose contributions were fully edited for this episode (with apologies — and an open invitation to return).  

First strong statement: the Silicon Valley->
Both guests are emphatically bullish on energy and AI. Shayle especially sees climate tech not as a standalone vertical, but as a horizontal that cuts across the entire economy. Anything that supports electrification, datacenters, and energy-hungry digital infrastructure represents a major opportunity. Gerard pushes the horizon even further, imagining datacenters in space.  

A central theme is the convergence of AI and the physical world. Shayle argues that as large language models become commoditised, value will move from bits to atoms — from software to real-world systems, infrastructure, and industrial processes. Gerard complements this with a strong emphasis on resilience, positioning it as a defining investment lens for the coming decade.  

On batteries, there is rare and total agreement. Both see them as the most important technology of our time, underpinning electrification, grid stability, transport, and the scaling of renewables.  

What emerges is an intense, wide-ranging exchange between two of the sharpest minds in the energy transition — a true Battle Royale on where climate, energy, and technology are heading next.  

You can watch the hour-long video here:
 https://youtu.be/H5YE1Upe0JI?si=HlgHKFOOjZj8Gygp

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Redefining Energy. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.