Ever wonder why the narrative around AI hasn't shifted even though Google's stock is up 67% this year?! (I should have bought GOOG instead of BTC) Everyone's still anchored to 2023: OpenAI leads, Anthropic innovates, everyone else chases. That story died somewhere between Gemini 3 and the TPU deployment numbers. Here's what actually happened: Gemini stole 8 percentage points of market share from ChatGPT in 12 months. Developers are literally ripping out OpenAI integrations mid-project to switch models. This is why its important to use tools like Agentic Workers where you can easily change models Anthropic just committed to over 1 million TPUs for Claude. They ran the numbers on H100s, Trainium, everything. Google won. By 30-40% better price-performance at the scale needed to train frontier models. Think about what that means.... Google's the only company that owns the entire stack, from silicon to software to distribution. When Nvidia raises H100 prices? Microsoft's AI margins compress. When Google raises TPU prices? That's pure rent extraction on hardware they already amortized. Microsoft has distribution but rents compute. OpenAI has models but rents infrastructure. Anthropic has models and... that's it. Google has all the layers. Google Cloud just posted high-growth profitability. Azure and AWS are still subsidizing AI workloads to buy market share because they don't control their compute costs the way Google does. The market sees a search company having a good quarter. The fundamentals show an AI infrastructure monopoly that happens to print $200B annually in search revenue while building the compute layer every AI application will eventually run on. Google came up to bat and knocked it waaaay out of the park.

You can use these simple prompt “codes” every day to save time and get better results. 1. ELI5 (Explain Like I'm 5) Let AI explain anything you don’t understand—fast, simple, and clear. Example: "ELI5: [your topic] 2. TL;DR (Summarize Long Text) Get quick, clean summaries of long content. Example: TLDR: [paste long text here] 3. Jargonize (Professional/Nerdy Tone) Make your writing sound polished, technical, and professional, perfect for LinkedIn, pitch decks, whitepapers, and emails. Example: Jargonize: [your text] 4. Humanize (Sound More Natural) Make AI text sound human, conversational, and non-cringe. Example:Humanize: [your prompt] Bonus: use AI words detector to remove common AI words and em dashes. https://www.agenticworkers.com/hidden-character-detector 5. Feynman Technique (Deep Understanding) A reliable method for truly understanding complex ideas. Sometimes just adding a few words will drastically change your AI responses

Hello, I'm sure we are all tired of editing out em dashes from our AI text, but did you know ChatGPT and others inject hidden characters into your outputs as well? They're not visible to the human AI but make it easy to detect if what you've written used AI or not. Here's a tool that detects and scrubs those words from your AI text https://www.agenticworkers.com/hidden-character-detector

“Before you answer, assess the uncertainty of your response. If it’s greater than 0.1, ask me clarifying questions until the uncertainty is 0.1 or lower.” That's it, this forces the the AI to think harder and prompt ME to fill in the gaps. I now include this in the personas of all my Agentic Workers and ChatGPT system prompts.