Climate tech is in transition. Capital is shifting toward AI, political tailwinds have weakened, and some commentators are declaring the sector finished. This piece argues the opposite: the old framing is exhausted, but the underlying opportunity is larger than ever. We trace the evolution from climate 1.0 to today, examine where value creation now sits, and engage with Bill Gates’ recent essay on rethinking climate strategy.

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Climate tech 1.0 was about proving that clean alternatives could work. Solar, wind, batteries, electric vehicles. The goal was demonstration: show that renewables could compete, that EVs could perform, that the technology was real. It worked. Costs came down, deployment scaled, and the sector graduated from science project to infrastructure.

Climate tech 2.0 shifted focus to the hard-to-abate sectors. Steel, cement, aviation, shipping, agriculture. The industries where electrification alone wouldn’t solve the problem. This wave brought new approaches: green hydrogen, sustainable aviation fuels, alternative proteins, carbon capture. Some of these are scaling; others are still searching for economic viability.

Now the conversation is shifting again. Capital is moving toward AI, political tailwinds have weakened, and the question of what climate investing even means has become harder to answer. That uncertainty is valid. But it reflects a category in transition, not a category in decline.

The scope has expanded

Climate used to mean a narrow set of sectors: renewables, EVs, carbon credits. That framing no longer holds.

Today, climate touches every industry because every industry faces the same pressure: do more with less. Energy costs, resource efficiency, supply chain resilience; these are unit economics, not sustainability metrics. When a mining company optimises water use, the driver is cost and scarcity. When a manufacturer reduces energy intensity, the goal is margin protection. The language may be climate-adjacent, but the logic is operational.

The transition has become the backdrop against which every sector is being repriced. Companies that treat efficiency and resilience as strategic priorities will outperform those that don’t, regardless of whether they describe themselves as ”climate” companies.

The question has changed

The old framing asked: how do we stop climate change? That question led to a focus on emissions reduction at all costs, sometimes disconnected from economic reality.

The better question is: how do we maintain our current quality of life without compromising our ability to do so in the future? This reframes climate from a constraint to a design problem. How do we keep supply chains functioning as weather patterns shift? How do we keep energy affordable as grids decarbonise? How do we keep infrastructure operational as maintenance needs compound? The investment opportunities sit in the technologies that answer these questions, delivering both prosperity and sustainability rather than trading one for the other.

Adaptation is no longer optional

For years, adaptation was the uncomfortable sibling of mitigation. Talking about it felt like admitting defeat. That’s changed. Climate effects are no longer projections; they’re operational realities. Wildfires threaten grid infrastructure, flooding disrupts logistics, heat stress affects labour productivity. The companies addressing these problems, from vegetation management for utilities to predictive maintenance for critical infrastructure, are solving issues that cost billions annually and are getting worse. This is present-day risk management, not preparation for a distant future.

AI and climate are complementary

The attention on AI is justified. It’s a general-purpose technology that will reshape most industries. But framing AI and climate as competing for capital misses the overlap.

Grid optimisation, industrial process efficiency, predictive maintenance, supply chain logistics: these are AI applications. Climate tech is increasingly a subset of applied AI. The more interesting question is where AI capabilities unlock climate solutions that were previously uneconomic. Real-time vegetation monitoring for wildfire prevention, automated inspection of distributed infrastructure, dynamic load balancing for intermittent renewables. These weren’t viable at scale five years ago. They are now.

The Gates memo and the shifting conversation

Bill Gates’ recent essay ”Three Tough Truths About Climate” generated controversy ahead of COP30. His core arguments: climate change is serious but won’t end civilisation, temperature is the wrong metric for progress, and health and prosperity matter more than emissions reduction for the world’s poorest. He frames this as pragmatism against doomsday thinking.

Some of the pushback to Gates’ essay is warranted. Gates’ confidence that 2.9°C warming by 2100 is manageable understates the risk of feedback loops, from permafrost thaw to ice sheet collapse, that could push temperatures higher even after emissions peak. His proposal to measure progress through welfare indicators rather than temperature misses that temperature is a leading indicator while welfare outcomes lag; by the time quality of life metrics decline, the emissions causing that decline are already locked in. And the framing of health versus climate as competing priorities creates a false dichotomy. Climate instability directly undermines development gains. Pakistan’s 2022 floods displaced 33 million people and caused $30 billion in damages, erasing years of progress. The choice is not climate or development; it’s whether we address both or let one undermine the other.

Still, the underlying signal matters. The climate community is moving past the binary of denial versus apocalypse toward a more pragmatic framing, one that asks which interventions actually improve lives, which technologies can scale economically, and how we allocate limited capital for maximum impact. Gates is right that not all climate spending is equally effective, and that economic development builds resilience. Where he’s wrong is in suggesting these priorities compete rather than reinforce each other. The best climate investments, those that improve efficiency, reduce costs, and build adaptive capacity, are also the best development investments.

Where this leaves us

The opportunities now sit at the intersection of efficiency, resilience, and adaptation: companies solving real operational problems that happen to have climate relevance, rather than climate-first solutions searching for a business model.

At Blume, this is where we focus. Technologies that improve how industries operate while building resilience into systems that need it. The thesis is that the transition represents the largest economic restructuring of our lifetime, and the companies enabling it will capture substantial value. That’s a bet on physics and economics, not on policy or sentiment.