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  • Drone deployment: vertical take-off?

    Drone deployment: vertical take-off?

    Drones cost just $1k-100k each. They may use 95-99% less energy than traditional vehicles. Their ascent is being helped by battery technology and AI. Hence this 14-page report reviews recent progress from 40 leading drone companies. What stood out most was a re-shaping of the defense industry, plus helpful deflation across power grids, renewables, agriculture,…

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  • Drone companies: OEMs, inspection, defense and delivery?

    Drone companies: OEMs, inspection, defense and delivery?

    This data-file is a screen of 40 leading drone companies, which either manufacturing drones for consumer, commercial and defense purposes; offer drone inspection services; or offer drone delivery services. It is a vibrant landscape, with over half of the companies founded after 2010, worth c$40bn pa, and creating c$120bn pa of economic benefits.

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  • AI energy: industrial demand and the Jevons effect?

    AI energy: industrial demand and the Jevons effect?

    Increasingly efficient AI should unlock ever more widespread and more sophisticated uses of AI. This is shown by reviewing 40,000 patents from 200 industrial companies. This 15-page report summarizes notable companies, patent filings, and updates our 2030 forecasts for AI energy.

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  • Cool concept: absorption chillers, data-centers, fuel cells?!

    Cool concept: absorption chillers, data-centers, fuel cells?!

    Absorption chillers perform the thermodynamic alchemy of converting waste heat into coolness. Interestingly, their use with solid oxide fuel cells may have some of the lowest costs and CO2 for powering and cooling AI data-centers. This 14-page report explores the opportunity, costs and challenges.

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  • Kraken Technologies: smart grid breakthrough?

    Kraken Technologies: smart grid breakthrough?

    Kraken Technologies is an operating system, harnessing big data across the power value chain, from asset optimization, to grid balancing, to utility customer services. We reviewed ten patents, which all harness big data, of which 65% optimize aspects of the grid, and 40% are using AI. This supports the deployment of distributed energy, renewables and…

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  • Groq: AI inference breakthrough?

    Groq: AI inference breakthrough?

    Groq has developed LPUs for AI inference, which are up to 10x faster and 80-90% more energy efficient than today’s GPUs. This 8-page Groq technology review assesses its patent moat, LPU costs, implications for our AI energy models, and whether Groq could ever dethrone NVIDIA’s GPUs?

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  • Moving targets: molecules, electrons or bits ?!

    Moving targets: molecules, electrons or bits ?!

    New AI data-centers are facing bottlenecked power grids. Hence this 15-page note compares the costs of constructing new power lines, gas pipelines or fiber optic links for GW-scale computing. The latter is best. Latency is a non-issue. Thus AI reshapes the future of US shale, midstream and fiber-optics?

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  • Fiber optic data transmission costs?

    Fiber optic data  transmission costs?

    The costs of fiber optic data transmission run at $0.25/TB per 1,000km in order to earn a 10% IRR on constructing a link with $120 per meter capex costs. Capex is 85% of the total cost. This data fiber breaks down the costs of fiber optic data transmission from first principles, across capex, utilization, electricity…

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  • Internet energy consumption: data, models, forecasts?

    Internet energy consumption: data, models, forecasts?

    This data-file forecasts the energy consumption of the internet, rising from 800 TWH in 2022 to 2,000 TWH in 2030 and 3,750 TWH by 2050. The main driver is the energy consumption of AI, plus blockchains, rising traffic, and offset by rising efficiency. Input assumptions to the model can be flexed. Underlying data are from…

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  • Omniscience: how will AI reshape the energy transition?

    Omniscience: how will AI reshape the energy transition?

    AI will be a game-changer for global energy efficiency, saving 10x more energy than it consumes directly, closing ‘thermodynamic gaps’ where 80-90% of all primary energy is wasted today. Leading corporations will harness AI to lower costs and accelerate decarbonization. This 19-page note explores opportunities.

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