Google’s Data Shows AI Costs Less Than You Imagined

Good morning, AI enthusiast. Google just gave us a reality check on AI’s environmental footprint, and the numbers are far smaller than most estimates suggested.

PLUS: Grab 2,000+ Free AI Agents and Put Them to Work

TODAY IN AI

1. Google Just Revealed How Much Energy AI Really Uses

Google just published the most comprehensive study on AI’s environmental footprint, showing that a typical Gemini text prompt consumes just 0.24Wh of energy, 0.03 g CO₂, and 0.26 mL of water, far lower than previous estimates. Their analysis includes GPUs, CPUs, idle systems, and cooling infrastructure.

→ Median Gemini prompt = less energy than 9 seconds of TV

→ Full-stack measurement includes GPUs, CPUs, cooling, and idle systems

→ Energy & carbon reduced 33x and 44x per prompt over the past year

→ Custom TPUs, efficient architectures, and low-PUE data centers drive efficiency

Why is important: AI’s environmental impact is real, but previous estimates have been wildly overstated. Google’s comprehensive measurements show that, with smart engineering, powerful AI can run sustainably, and the industry now has a roadmap to track and reduce its footprint more accurately.

2. Anthropic eyes $5B raise at $170B valuation

Anthropic is raising up to $5B, bringing its valuation to $170B. The company has grown its revenue to $5B and is expanding rapidly to compete with OpenAI and xAI in AI development and deployment.

→ Iconiq Capital leading the round; Amazon, Qatar Investment Authority, and GIC may join

→ Accepting checks no smaller than $200M

→ Founded by former OpenAI employees, known for safety-focused AI development

Why is important: The raise highlights the fast-moving AI funding race and signals how aggressively top firms are scaling to lead the industry.

HOW TO AI

Grab 2,000+ Free AI Agents and Put Them to Work

A library of over 2,000 pre-built AI agents and automations has been leaked on GitHub for completely free. Each is a fully built, ready-to-use workflow, complete with step-by-step instructions. You can bring any of them into n8n and have it running in minutes, without touching a line of code.

🧰 Who is this for

• Solopreneurs automating daily tasks

• Agencies scaling client operations

• Builders testing AI-powered workflows fast

• Anyone curious about no-code automation

STEP 1: Grab the templates

Head over to this Github Repo and access 2000+ free AI workflows.

Inside, you’ll find over 2,000 files organized by categories like sales, content, research, operations, and more.

Take a few minutes to browse and select the one most relevant to your work.

STEP 2: Go to n8n

Now go to n8n.io and sign in (or create a free account if you’re new).

Once you are on the dashboard, click on the "Create Workflow" button in top right corner.

This opens a clean workspace where you’ll bring in your automation.

STEP 3: Import the Workflow

On this page, click the three dots (⋮) in the corner and select “Import from File” option.

Then upload the workflow file you just downloaded.

And within a second, you’ll see the full automation appear instantly on your screen, without any setup.

STEP 4: Run and Activate

Now, click “Execute Workflow” to see it in action. You’ll watch each step run exactly as it was designed.

If everything looks good, hit Activate to make it live.

From there, you can customize it, swap out apps, add AI steps, or tweak the flow to match your process.

Pro tip: Think of these workflows as starting points, not final products. Import one, run it, then tweak it until it fits your exact process.

⚙️ Hot AI Tools:

• 🐳 DeepSeek V3.1: Model update with improved intelligence, context window

• 📂 Co.dev: Turn your ideas into full-stack apps.

• 🎥 Wonda: Wondercraft’s AI agent for video and audio content creation

• 💻️ VoxDeck: Create stunning and motion-rich presentations with AI.

That's it! See you tomorrow

- Dr. Alvaro Cintas