In partnership with
Welcome Automaters, 👋
So OpenAI, the $852 billion giant racing toward superintelligence, just hit the brakes long enough to ask a critical question: Is everyone going to be okay?
On Monday, April 6th, they dropped a bombshell 13-page policy document with a title that sounds like a manifesto: "Industrial Policy for the Intelligence Age: Ideas to Keep People First." It’s a radical pivot for a company that has spent years breaking things to move fast.
Now here's the thing: AI is already eating into the professional world. White-collar payrolls have shrunk for 29 months straight; a streak economists note has never occurred outside of a full-blown recession. And instead of pretending the "AI boom" lifts all boats, OpenAI is proposing a structural overhaul of how we live and work.
The 4 Big Ideas?
Tax the Robots: If a machine takes your job, OpenAI argues it should pay taxes just like you once did. This concept is famously known as a "robot tax." While it was first floated by Bill Gates back in 2017, OpenAI is bringing the idea back with fresh energy; putting the proposal into official policy language for the first time.
The Public Wealth Fund: This is the "moonshot" of the document. OpenAI wants a nationally managed fund; seeded by AI companies; that invests in AI businesses and pays out dividends directly to every citizen. Think of it like Alaska’s oil dividend, but powered by ChatGPT profits instead of petroleum.
The 4-Day Workweek (Same Pay): OpenAI is pushing for a four-day workweek with zero reduction in pay. The logic is simple: If AI is handling the heavy lifting and driving productivity through the roof, humans should work fewer hours without losing a cent. OpenAI is pushing companies to actually trial three-day weekends permanently. Yes, really. For them, the "efficiency win" should flow to the worker, not just the corporate bottom line.
The Automatic Safety Net: This is a "quietly brilliant" trigger system. Once AI-related job displacement hits a specific level, government support (income insurance and cash payments) kicks in automatically. No waiting for years of Congressional debate; it’s fast, clean, and data-driven.
But there’s a glaring irony here: OpenAI is the very company sprinting to build the technology it is now warning us about.
Because of this, critics aren't convinced. Many see this as a strategic move to shape future laws before those laws have a chance to shape them; especially as the company preps for an IPO and navigates its controversial shift away from nonprofit status.
The Big Picture:
This document isn't law, but it is a massive starting point. Robot taxes and wealth funds sounded like sci-fi five years ago, and today, they’re official policy papers from the most powerful tech company on the planet.
The AI revolution is happening. The real question isn't whether the world changes, it's whether regular people get to profit when it does. And OpenAI just put that question in writing. So whether this is a brilliant PR play or a genuine warning, the conversation has officially started. Now, it’s everyone else's turn to answer.
Here's what we have for you today
🤖 How AI Recommendations Are Being Manipulated
Pop quiz: when your AI chatbot says, "The best project management tool for your startup is X," do you question it?
Nope. You likely trust it like a wise friend. In fact, current 2026 data shows a staggering 93% of Google AI Mode searches now end without a single click to an external website. We aren't just using AI, we’re sleepwalking into a world where we accept its first answer as the only answer.
And that is exactly what marketers are counting on.
The SEO industry, the same crew that spent decades gaming Google's search rankings, has found a shiny new playground: your AI chatbot. They’re calling it AEO (Answer Engine Optimization), and it’s already reshaping what AIs, such as Google’s AI Mode and ChatGPT tell millions of users every single day.
In case you haven't heard of it, AEO is SEO’s sneaky, more sophisticated sibling. Instead of trying to rank #1 on a page of links, the goal is to become the sole source the AI cites when it answers a question.
The "Authority" Heist: Brands are engineering content to be "AI-digestible" using structured data and entity-first mapping so the AI views them as the definitive truth.
The Stealth Recommendation: You search for a "service desk platform" on Google's AI Mode, and it confidently recommends Zendesk. Why? Not necessarily because it's the best fit for you, but because the AI pulled a citation from a blog post written by... Zendesk's own marketing director. And guess what? When you click into that blog post, you'll find the content written for robots, not for humans. That's AEO in the wild, baby.
The Invisible Ad: Unlike traditional search, there’s often no "Sponsored" badge or red flag. It’s just a chatbot sounding really, really sure of itself to an audience that trusts its answers as much as a personal recommendation.
As of now, the pressure on brands to crack the AEO code is intense. If your competitor becomes the AI’s "favorite" source and you don’t, you don't just drop a few spots in the rankings, you become invisible.
And with 60% to 93% of searches now ending in "zero clicks," the traditional internet economy is being replaced by a synthesis economy. Users are spending more time engaging with the AI's summary rather than clicking through to the actual experts. And this creates a massive vulnerability: the more these systems rely on scraping the web to sound credible, the easier they are to manipulate via coordinated influence campaigns.
And the scary part? Companies such as Google and OpenAI are stuck in a lose-lose situation: they need to cite sources to sound credible and avoid making stuff up, but those very citations are what bad actors exploit, so yeah, every web pull is a potential manipulation.
So, What's the Fix?
The core question isn't whether AI can be manipulated (it can); it’s whether the platforms can evolve fast enough to stay ahead of the exploitation.
Your 2026 Survival Guide:
Demand Transparency: We need "AI-cited" disclosures for brand-heavy recommendations, similar to how we label ads.
Source-Diversity Scoring: Platforms must prioritize pulling from multiple, conflicting perspectives rather than letting one brand dominate the narrative.
Be a Skeptical Human: Treat AI answers the way you treat a product recommendation from a stranger: useful, but worth a second opinion.
Folks, the internet got gamed once. Let’s not sleepwalk into round two. Cross-check. Click through. Be aware and alert.
You can learn more about this here.
Replace your first 4 hires with AI. Free workshop on April 8th.
Most early-stage founders can't afford their first four hires. Sales, marketing, dev, and support alone can run hundreds of thousands in salaries.
On April 8th, AI thought leader Heather Murray shows pre-seed and seed founders how to build all four functions using AI tools. Live, with demos, for free.
Register today and get a free AI tech stack worth $5K+ including Claude, AWS credits, Make, and 90% off HubSpot.
🧱 Around The AI Block
🦾 Google quietly launched an AI dictation app that works offline.
🕵️♂️ OpenAI asks state AGs to probe Musk's anti-competitive tactics.
🤑 AI Data center boom stress tests insurers as capital floods in.
💰 Intel bets billions on chip packaging to win AI race.
📉 Oracle shares are down 24% so far in 2026 amid AI bubble fears.
🤦 Republicans fooled by AI-generated image of US crew member rescued in Iran.
🛠️ Trending Tools
For Mobile Multimodality: Gemma 4 (E2B/E4B) is Google’s newest open-source "effective" models designed for on-device use. They offer native audio and visual understanding with a 128K context window, allowing for high-speed, private AI reasoning on phones and laptops without needing a cloud connection.
For Governed Automation: Stackmint is an enterprise-grade execution layer for AI agents. It enforces strict governance by verifying permissions, budgets, and KPIs before any workflow deploys, ensuring your AI "staff" stays within legal and financial boundaries automatically.
For Repository-Level Coding: Qwen 3.6-Plus is Alibaba’s latest powerhouse featuring a 1-million-token context window. It generates web interfaces from screenshots, can ingest entire codebases or document libraries in one prompt, integrates directly with Claude Code, and autonomously debugs complex full-stack projects using its enhanced reasoning engine.
For Hands-Free Growth: Genfaceless is a "Set-and-Forget" video engine for social channels. It automates the entire pipeline, from viral script writing and AI voiceover to visual generation and captioning—specifically optimized for high-retention YouTube Shorts and TikTok loops.
🤖 AI Workout Of The Day: How To Create a Talking Avatar with Heygen + ChatGPT
AI Generated
AI avatars aren’t just fun, they’re powerful tools for business, education, and content creation.
With Heygen, you can clone yourself (or create a digital persona), and with ChatGPT, you can give that avatar a natural, engaging voice. Together, they let you build a talking digital version of yourself that can explain, teach, sell, or entertain without needing to film every time.
Here’s How:
Step 1: Set Up in Heygen
Sign up for Heygen: Create an account. (Tip: Try the free plan first, it comes with solid features, though limited.)
Choose “Avatar IV”: This version generates the most realistic avatars.
Record a training video: Upload 2–5 minutes of yourself speaking naturally. Also:
Look directly at the camera.
Use a neutral background + good lighting.
Speak clearly, pausing between sentences.
Submit a consent video: Required for identity verification (prevents misuse).
Wait for processing: Heygen will create your avatar.
Create your first video:
Go to “Create Video.”
Pick your avatar.
Enter a script or upload audio.
Choose a voice (built-in or external cloning).
Preview, check lip sync, then export.
Add multiple looks (optional): Upload extra clips in different outfits/settings for versatility (up to 100 looks).
Step 2: Where ChatGPT Comes In
Scriptwriting: Use ChatGPT to draft natural, engaging scripts your avatar will say.
Voice & Personality: Shape tone, humor, or brand voice with prompts.
Interactive Mode: Instead of pre-written lines, ChatGPT can generate live responses (think Q&A avatars, virtual presenters, or customer support bots).
💡 Prompts to try:
Write a narration-style script for a podcast or voiceover. The script should feel conversational, engaging, and paced for listening. Include cues for pauses, emphasis, or background effects. The topic is [insert topic], and the tone should be [friendly/educational/storytelling]. The script should last approximately [insert duration].Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
Did you like today's content? We'd love to hear from you! Please share your thoughts on our content below👇
What'd you think of today's email?
Your feedback means a lot to us and helps improve the quality of our newsletter.
