Cloud Spending Hits Anthropic

Welcome to another edition of AI PlanetX.

Anthropic vs. OpenAI shifts focus from losses to strategy; Google says Gemini won’t run ads as Sam Altman plans an India visit.

• Hottest AI News

• Top AI & SaaS Tools

• AI Tutorial: Code Smarter with Jules Automation

• Top AI & Tech News

• AI Art Spotlight

• Prompt of the Day: Prompt to Find Creator Pain Points

• Featured AI Video

• Course of the Day: Gemini CLI - Code with Open-Source Agent

Hottest AI News

Anthropic

The Anthropic vs. OpenAI Debate Isn’t About Losses; It’s About Options

People keep reducing AI company finances to a simple scoreboard: who’s burning more cash. But the real difference isn’t the burn, it’s resilience: which companies are built to absorb the next wave of shocks that are definitely still coming.

Details:

• Anthropic targeted about $9B annualized revenue in 2025 with roughly $5.2B burn. But inference costs on Google and Amazon cloud ran 23% over plan, pushing gross margin toward ~40%. With ~30M MAUs, the same infra bill hits harder

• OpenAI exited 2025 with over $20B annualized revenue, though in-year revenue was closer to $12B to $13B, with about $8.5B burn. Still losing, but at a different scale. Roughly 900M weekly active users gives more ways to monetize

• Both burn similar absolute dollars, but the model differs. Anthropic leans more on enterprise. OpenAI has more levers: subscriptions, API revenue (over $1B ARR added last month), and early ChatGPT ad tests

The real question isn’t who’s losing more. It’s which model has more ways to grow margins when compute costs surprise you again.

You Can't Automate Good Judgement

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DeepMind

Google AI CEO Is Surprised By OpenAI Ads And Says Gemini Won't Show Them

Google DeepMind CEO Demis Hassabis admits he is "surprised" OpenAI is rushing to put ads in ChatGPT, highlighting a major divide in how the two giants view the future of AI monetization and user experience.

Details:

• Hassabis argues that while ads work well for Search, they conflict with the role of a "personal assistant," as users need to trust that the AI is working solely for them rather than trying to sell them something

• Unlike OpenAI, which faces pressure to cover rising infrastructure costs, Google has no current plans for ads in Gemini and is avoiding "knee-jerk" decisions to focus instead on scientific rigor and deeper personalization

• The caution is warranted given past consumer backlash against Amazon Alexa ads and OpenAI’s own recent app suggestions, proving that interrupting private conversations with sales pitches can severely degrade the quality

As the industry watches OpenAI's move, Google remains hesitant, saying that maintaining user trust is more important than forcing revenue into the interface.

Top AI & SaaS Tools

• Awaz (Life-time Deal): AI platform that creates human-like voice agents to automate outbound and inbound phone calls, book meetings, send follow-ups (SMS, WhatsApp, email)

• Noodle Seed: Create and deploy no‑code AI assistant apps for business profiles, bookings, lead capture, and product info—inside ChatGPT and other AI [F-R-E-E]

• Tasklet: AI automation that lets you describe workflows in plain English and then runs those tasks automatically across your tools and apps [F-R-E-E]

• Qwen3-TTS: SOTA 0.6B and 1.7B speech models supporting 10 languages with prompt-based voice design, 3s zero-shot cloning, and 97ms streaming [F-R-E-E]

• Krisp Mobile: An outgoing call recorder for the Krisp mobile app that auto‑records calls, transcribes them, and creates AI notes [F-R-E-E]

AI in CX that grows loyalty and profitability

Efficiency in CX has often come at the cost of experience. Gladly AI breaks that trade-off. With $510M in verified savings and measurable loyalty gains, explore our Media Kit to see the awards, research, and data behind Gladly’s customer-centric approach.

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AI Tutorial

How to Automate Coding Tasks with Jules

Shipping code does not have to mean babysitting every commit. In this guide you will use Google’s async development agent Jules to queue up tasks, let it work in the background, and publish clean branches when it is done.

1. Go to Jules and sign in with Google account

   This ensures you can securely connect to the async agent and its integration features.

2. Connect GitHub account

   Authorize Jules to have permissions to your repositories so it can create branches, commit changes, and submit updates automatically.

3. From dashboard, choose specific repository you want to work on

   Use the dropdown menu to also select the correct branch (for example, dev or feature-x) so changes are applied in the right place.

4. Enter chat interface inside Jules

   This is where you describe what you want the async agent to do.

   Type your request clearly.

   For example:

   • Generate unit tests for the payment module

   • Update the API documentation

   • Resolve the issue where file uploads fail for large files

5. Review draft plan generated by Jules

   It will outline the steps it intends to take, such as editing specific files, creating fresh ones, or running checks.

   If needed, refine your instructions.

   You can clarify details like:

   • Just update the frontend code

   • Use Python 3.11 syntax

   Once the plan looks correct, press Approve. Jules will run the changes asynchronously—meaning you don’t have to wait in real time.

6. Monitor progress in activity log

   You’ll see which files are being modified and whether tests are being run in the background.

7. When Jules completes work, preview the changes

   Check the diff or run the updated code locally if you want to verify results.

8. Tap Publish Branch to push finished work into rep

   From there, you can merge it into your main branch through a pull request like normal.

Note: Break tasks into smaller steps for higher accuracy, and don’t approve until the plan looks right. After publishing, review the diff so nothing slips through unnoticed.

Top AI & Tech News

• OpenAI CEO Sam Altman is planning a mid‑February visit to India, likely to coincide with the India AI Impact Summit 2026 in New Delhi

• Mira Murati’s Thinking Machines Lab (TML) experienced a dramatic split after reported internal conflicts between CEO Murati and CTO Barrett Zoph

• Google’s Gemini AI launches F-R-E-E, vetted SAT practice exams with scoring, explanations and personalized feedback

• Microsoft is adding AI features to Paint and Notepad in Windows 11, currently rolling out to Windows Insiders on the Canary and Dev channels

AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:

Half-realistic photograph, half detailed black-and-white doodle sketch of a young man (use the uploaded photo as the reference) with curly hair and glasses, wearing a light blue hoodie. The background is lined school notebook paper covered in simple black-and-white doodles, hearts, stars, and handwritten Korean Hangul text [Your Text]. Perfect center split, digital art, high detail.

Model: Nano Banana Pro

Prompt of the Day

Prompt to Find Creator Pain Points

This prompt scans top Whop, Discord, and Shopify apps to find the 20 most common pain points creators face selling digital products, groups them by category, and summarizes each pain in one sentence from the creator’s perspective so builders can quickly validate and pick a problem to solve.

Featured AI Video

6 ChatGPT‑5 Strategies Guaranteed to Grow Business

AI Course of the Day

Gemini CLI: Code and Create with an Open-Source Agent

This course shows how to use Gemini CLI’s agent with Model Context Protocol (MCP) and extensions to run smooth, multi‑tool workflows that connect local files with cloud services such as Google Workspace and Canva. You will learn to automate common software development tasks, including building website features, creating data dashboards, and setting up reliable code review workflows with GitHub Actions.