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The AI–energy paradox

Can AI solve the energy crisis it’s helping create?

👋 Good morning/evening (wherever you are). It’s Wednesday.

AI is both a problem and a potential solution for the energy transition.

Problem:

AI data centers are consuming power at a rapid pace. MIT estimates they could use 12 to 15% of all U.S. electricity by 2030, putting pressure on the grid and climate goals.

Solution:

Used strategically, AI could do the opposite. It can help optimize power grids, accelerate clean energy innovation, and improve system efficiency.

So it’s a paradox: AI could derail climate goals or accelerate them.

OK let’s keep going ↓

🔥 Creative pulse

Jake Paul now has an AI-generated national TV ad.

Apparently, it was created in 2 days.

More celebrities will follow...along with creators, influencers, and business leaders who want to multiply their reach and make more money with less effort.

AI is a revenue multiplier. The smartest teams already know it.

💡 Here’s what you should know

💰 The numbers

  • Emerald AI raised a $24.5M seed round to power AI data centers with smart grid switching, letting them toggle between on- and off-grid energy to cut costs and emissions.

  • Wonderful raised a $34M Series A to bring multilingual AI agents to global call centers, aiming to replace offshore support with voice agents that understand dozens of languages.

  • Remark raised a $16M Series A to scale human-powered expert models for e-commerce, blending manual input with AI for high-accuracy product and customer support.

  • Wisq raised $15M to build an AI HR generalist that handles onboarding, policy, and internal workflows across large orgs.

  • Deeto raised a $12.5M Series A to help companies turn real customer experiences into AI-usable content, replacing scripted testimonials with verified, dynamic feedback.

🧠 Thought starters

😂 Meme of the day

Thanks for reading,

Eddie

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