What 2025 has in Store for ClimateTech with Obvious Ventures

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Andrew Beebe, Managing Director at Obvious Ventures
Andrew Beebe, Managing Director at Obvious Ventures, shares his 2025 climate tech predictions with ClimateTech Digital

What does 2025 have in store in the world of climate technology?

One of the experts giving his two cents is Andrew Beebe, Managing Director at Obvious Ventures and a recognised leading climate tech VC. 

Obvious Ventures was founded in 2014 by Evan Williams, the Co-Founder of Twitter and Medium, with big exits including Beyond Meat, Recursion Pharmaceuticals and supplement maker Olly.

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Through his work, Andrew leads investments in decarbonisation and renewable energy, with a portfolio that includes notable investments such as Proterra, acquired by Volvo, Inspire, acquired by Shell, Amply, acquired bp and geothermal business Zanskar.

He foresees renewables surpassing fossil fuels in baseload capacity, AI enhancing the reliability of renewable systems and advances in geothermal energy unlocking vast new energy deposits.

This comes as with the intensifying urgency to address climate change, global energy is undergoing a seismic shift. 

What does 2025 have in store for climate tech and renewable energy?

Andrew and Obvious Ventures believe that innovations in generative science are driving profound changes in renewable generation, transmission technologies and data-driven user incentives that will ripple across industries.

“The numbers tell the story,” Andrew says. “The International Energy Agency (IEA) projected that investments in cleantech and infrastructure will hit US$2tn in 2024, roughly double the investment in fossil fuels. 

Andrew Beebe, Managing Director at Obvious Ventures

“The US slice of this global sum is small — just 15% — but is growing sharply thanks to major incentives in the Infrastructure Investment and Jobs Act and the Inflation Reduction Act.

“We are especially enthused about geothermal energy. Despite renewables like wind and solar reaching relatively large scale and low cost, neither has proven capable of providing the comparable baseload capacity of coal, oil, and gas. 

“New leaps in geothermal energy are unlocking vast new energy deposits in the earth’s crust, and generative AI technologies are making them more accessible than ever before.”

Andrew puts forward a selection of predictions for the year ahead, which include:

  • Clean energy will finally leap past fossil fuels. “The era of fossil fuels dominating the energy sector is drawing to a close. Solar, wind, geothermal and hydropower are poised to overtake fossil fuels in baseload capacity, global efficiency and declining costs. New technologies are unlocking vast new deposits of clean energy and powering leaps in traditionally slow research quests like nuclear fusion.”
  • Advances in battery chemistries will rewire industries. “Breakthroughs in battery technology are transforming the landscape of energy storage and consumption. New chemistries like solid-state lithium and synthetic silicon batteries promise greater energy density, faster charging times and longer lifespans. These advancements are crucial for the scalability of distributed renewable energy, enabling industries to reduce their dependence on the grid significantly.”
  • Carbon removal will hit overdrive. “Technologies for carbon capture and sequestration are rapidly advancing. Innovations in direct air capture and bioenergy with carbon capture and storage are scaling up. Both are making it possible to remove and store carbon dioxide far more efficiently and for the world to meet broad climate targets.”
  • Agriculture will transform from top to bottom. “Farming is undergoing a clean energy revolution. Renewable energy-powered machinery and precision data-driven farming techniques are breathing sustainability into a historically carbon-heavy industry. Innovations in vertical farming and lab-grown foods are also emerging, reducing the carbon footprint of food production and increasing food security.”
  • AI will take the guesswork out of risk analysis. “Advanced algorithms and machine learning models can predict equipment failures, optimise maintenance schedules and improve energy efficiency. By leveraging AI, businesses will be able to make more informed decisions, enhancing the reliability and resilience of renewable energy systems and reducing operational uncertainties.”

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