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-> those who move early -> on this will capture the -> biggest upside this year -> ai content in 2026 is now -> so good that even creators -> can’t always tell what they -> made vs what ai made -> that shift opens up -> massive opportunity...

35,766 просмотров • 3 месяцев назад •via X (Twitter)

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🚨BIGGEST ANNOUNCEMENT OF MY LIFE: I've been working on something big these last few months It's called Creator Buddy, and it's the best AI content tool you'll ever use It's an AI content coach that will help you create WAY better content on X It's jam packed with awesome AI tools that will help you create content that attracts you a massive audience: • AI coach that reviews all your old content to let you know what's working • AI content repurposing tool that helps you take a tweet and turn it into videos, blogs, and other forms of content • Brain dumping tool that takes what's on your mind and turns it into content • A bookmarking tool that's like X bookmarks except actually useful This is the most important project of my life and I can't wait for you to try it out The biggest challenge I see for content creators on X is they struggle to find their voice. They struggle to figure out what their niche should be or what they should talk about Creator Buddy solves this It's not an AI tool that creates you content. It's an AI tool that helps you discover who you are and what makes you unique and interesting. I'm launching Creator Buddy in the next month or so and want you to test it out. Beta testing begins in the next week and the first wave of users will be my subscribers on X I'll also be choosing 10 random people who like/RT this post to beta test it early Second wave will be through my newsletter (link in bio) Third wave will be to my reply guys (make sure to reply early and often) Creator Buddy is going to be the single greatest AI content creation tool and I can't wait for you to use it!

Alex Finn

338,366 просмотров • 1 год назад

🎙️ The Sujal Show Ep. 13: Ishan Sharma – The Blueprint for Building Wealth with AI in 2026 4M creator Ishan Sharma reveals his exact AI workflow, shares 3 skills that will save you from AI, 5 junior roles at risk from AI, how to build an AI automation agency, and drops zero‑coding money methods We Discussed on The Sujal Show:👇 - 3 skills that AI cannot replace - Biggest mistake college students make that AI can’t fix - Why he avoids AI avatars (and why you should too) - The easiest way to make ₹1 lakh per month with AI - Ways to make money with AI right now (no coding) - Degree vs personal brand – which actually matters in 2026? - Why he prefers Claude over ChatGPT - Which junior jobs are already dying in 2026? - The “2% rule” for success mindset - Why did he refuse a ₹1Cr brand deal? - Why vibe coding is a trap for serious founders - AI workflow that saves him 20 hours a week - His favorite AI models for 2026 Timestamps: 00:00 Intro 01:50 How deep he is in AI 02:12 Degree vs Personal Brand in the AI Era 04:23 Are Tier-3 College Degrees Still Worth It? 08:50 Top 10 Ways to Make Money with AI in 2026 15:18 How to market your AI product 16:38 Ishan Sharma's Highest-Earning Year 20:15 Roadmap for a 14-Year-Old to Build a Personal Brand Using AI 22:33 His Content Creation Workflow 27:51 The AI Prompts Ishan Uses Daily 29:19 Most Underrated AI Tool 47:41 Cost of Building AI Automations 48:40 How to Get Hired in the AI Age 52:04 Best Way to Learn AI, Sales & Communication Skills 54:07 Job market 2026 57:38 Top 5 AI Models He dropped out at 20. Built a 4M+ empire. His AI workflow will save you years.

Sujal Jethwani

34,133 просмотров • 3 месяцев назад

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

Ricardo

2,972,621 просмотров • 3 месяцев назад