One thing I've noticed working in climate is that we often talk about recycling as if it's the end goal.
It isn't.
The real opportunity is designing products and supply chains that make recycling economically viable in the first place. If recovering a material costs more than extracting a new one, we've designed the system backwards.
Circularity isn't just a sustainability challenge, it's a business model challenge.
The companies that win won't necessarily be the ones with the most recyclable products. They'll be the ones that make keeping materials in circulation the most profitable option.
There I was, eating my green beans, running the same question through Claude, ChatGPT, and Gemini, thinking I was doing thorough research.
I wasn't.
I repeated an AI-generated "fact" to a potential colleague. She stopped me: "That's not true."
She was right.
The irony? I've spent 10+ years in measurement, verification, and reporting.
My job has always been to question claims, not repeat them.
LLMs are excellent at synthesizing information. But in niche domains, they can infer conclusions from related public data that sound right without actually being true.
Lesson: If you're building trust through data, AI should speed up your workflow, not replace your due diligence.
Don't confuse confidence with evidence.
The future of energy, industry, and climate will not be built only in traditional innovation hubs.
It will be decided in places like Brownsville, Texas.
A border city shaped by its port, proximity to Mexico, and connection to global trade.
For decades, Brownsville has been a strategic gateway. Today, it is becoming a meeting point for some of the biggest conversations shaping our future, from aerospace with SpaceX to energy infrastructure with projects like NextDecade’s LNG development.
But as these industries scale, one question becomes increasingly important:
How do we measure progress?
How do we verify emissions reductions? How do we ensure carbon capture, carbon removal, and lower-carbon technologies deliver the impact they promise?
This is where MRV (Measurement, Reporting, and Verification) becomes critical.
The energy transition is not happening in abstract conversations. It is happening in real communities, with real infrastructure, and real tradeoffs.
Watching my hometown become part of that global conversation has been fascinating.
Everyone loves talking about AI's energy demand.
Far fewer people ask a harder question:
Where is the clean electricity actually coming from?
The conversation isn't AI vs. climate. It's whether we can build generation, storage, and grid infrastructure fast enough to keep up.
The bottleneck isn't ambition anymore.
It's deployment.
The companies that remove friction from permitting, procurement, and grid integration may end up having as much climate impact as the next breakthrough technology.
What's the biggest bottleneck you see today?
Recycling doesn't fail because people don't care. It often fails because systems do.
I've become increasingly convinced that the biggest challenge in the circular economy isn't awareness, it's infrastructure.
Consumers can sort waste correctly, but if collection, sorting, regulations, and economics aren't aligned, the outcome doesn't change.
The circular economy isn't just about changing behavior.
It's about designing systems where the sustainable choice is also the easiest and most efficient one.
What do you think is the biggest bottleneck: consumer behavior or infrastructure?
Hot take: The next AI race won't be won by the best model.
It will be won by the countries and companies that solve the energy equation.
Compute is only as scalable as the electricity behind it.
We spend a lot of time debating algorithms.
I think we should spend just as much time debating grids, transmission, storage, and energy infrastructure.
No power. No AI.
Agree or disagree?
For years, climate conversations focused on replacing fossil fuels with cleaner alternatives.
But as AI becomes embedded into every industry, the question is evolving:
Do we have enough reliable energy infrastructure to support the future we are building?
The next decade will not only be about decarbonizing energy.
It will be about scaling energy abundance while reducing emissions.
That means better grids, smarter infrastructure, faster permitting, and more resilient supply chains.
The energy transition is no longer just an environmental challenge.
It is an economic competitiveness challenge.
