Hello there.
Happy Friday! Big Tech is spending like there’s no tomorrow, and sooner or later, that bill is coming due.
In this issue:
👴 Meta's Paying People to Use Facebook Again (Yes, Really)
⚡️ Amazon’s New Primo Prime
🎰 Nvidia Just Bet $26 Billion on Giving AI Away for Free
🤖 “Unacceptable Risk”; “Red Lines”. Sounds Serious.
🎙️ Layoffs, DOGE Data Theft, & the Rise of AI Fails
From the boomer social revival to Nvidia giving away AI to protect its empire, the future is arriving fast…just not exactly as advertised. Let’s get into it.
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👴 Grandpa, How Do I Use Facebook?
Remember when Facebook was cool? Neither do we. But Meta is doing what they do best: throwing money at the problem, and seeing what sticks.
The company just launched something called Creator Fast Track, which is basically a signing bonus for influencers. If you've got 100,000+ followers on TikTok, Instagram, or YouTube, Meta will pay you $1,000 a month just to post on Facebook. Got a million followers? That's $3,000 a month. The guaranteed cash only lasts three months, but Meta promises to boost your reach forever after that.
Why should you care? Because Meta paid creators nearly $3 billion in 2025, up 35% from the year before. That's big money flowing out of the company, and the bet is simple: more creators means more content, more content means more eyeballs, more eyeballs means more ads, and ads are still how Meta makes basically all of its money. If this works, Facebook stops being just the app your parents doom-scroll and becomes a place people actually want to hang out again.
For us in the trenches, this is a classic "watch the engagement numbers" situation. Meta reports monthly active users and time spent on platform. If Creator Fast Track actually brings younger users back to Facebook, you'll see it in those metrics before it shows up in revenue. If those numbers stay flat while creator payouts keep climbing, that's money going out the door with nothing to show for it. The results will determine if this was a "smart growth investment" or "desperate flailing." Keep an eye on Meta’s Q2 earnings.
🎤 What do you think?
What assets are you most interested in?
⚡️ The Tech Ticker
Amazon is launching one-hour and three-hour delivery across hundreds of US cities, charging Prime members $9.99 as it takes on Instacart.
The FBI confirmed it's buying Americans' location data from data brokers again, with Kash Patel stating the agency "uses all tools" to do its mission.
Rivian is ditching its 2027 profitability goal to move cash into self-driving tech, even as it announces a robotaxi partnership with Uber worth $1.25 billion.
NHTSA upgraded its investigation into Tesla's Full Self-Driving software to its highest level of scrutiny over the company's failure to deploy fixes.
Micron's CEO says the chip supply crunch is so severe that key customers can only get 50% of what they need, even after the company nearly tripled revenue last quarter.
🎰 Nvidia’s Putting All the Chips on the Line
Here's something wild that flew under the radar: Nvidia, the company that makes basically every chip powering AI right now, just committed $26 billion over the next five years to build open-source AI models. Those are models anyone can download and use. For free.
Wait, why would they give stuff away? Because Nvidia isn't really in the AI model business. They're in the "sell you the chips to run AI models" business. Think of it like a printer company giving away printers but charging for ink. Nvidia wants every AI model optimized for their hardware, so when companies need to run those models at scale, they buy Nvidia chips. It's a tech mogul’s dream.
The first model just dropped: Nemotron 3 Super, a 120-billion-parameter beast designed specifically for AI agents (those are the bots that can actually do tasks for you, not just chat). Companies like Palantir, Perplexity, and Siemens are already using it. And because it's open-source, developers everywhere will build on it, which means more demand for Nvidia's hardware.
From a market perspective, this is Nvidia playing defense and offense at the same time. AMD is catching up on the chip side, and all the big cloud companies (Amazon, Google, Microsoft, Meta) are building their own chips to stop depending on Nvidia so much. By making the best open-source models that run best on Nvidia hardware, they're trying to lock in developers for another decade the way they did with their CUDA software.
If you own NVDA or are thinking about it, this is the moat-building you want to see. The risk is, if those big cloud customers decide Nvidia is now a competitor (not just a supplier), they might speed up their own chip development even faster. But Nvidia's betting their hardware lead is too big to catch. At $26 billion, they're putting serious money where their mouth is.
🤖 All Eyes on AI
Alphabet's X moonshot factory spun out Anori with $26 million in funding to tackle the nightmare of building permits, hoping AI can cut years off the timeline.
DoorDash launched a new app called Tasks that pays couriers to film themselves speaking foreign languages and doing everyday tasks to train AI.
Nothing CEO Carl Pei predicted that AI will kill the traditional app model on smartphones, with users eventually just telling their devices what they want.
A rogue AI agent at Meta exposed sensitive company and user data to employees after it posted a response without asking an engineer for permission.
🤡 Meme of the Week
🎙️ Layoffs, DOGE Data Theft, & the Rise of AI Fails
In this episode of This Week in Tech, the panel dives into the messy reality behind AI hype. Meanwhile, social media platforms battle bots, governments clash over data control, and the energy demands of AI start reshaping infrastructure decisions.
📻 Tune in to:
Break down Meta’s looming layoffs as AI spending explodes, and why even Big Tech is feeling the financial strain of building the future.
Explore the growing list of AI failures, from wrongful arrests tied to facial recognition to misinformation spiraling across platforms.
Understand the controversy around alleged DOGE-related data access to Social Security systems, and why it’s raising serious alarms about privacy and government oversight.
🎧 Listen on:
⭐️ What did you think of today's edition?
That’s all for today. Write us and let us know your thoughts on the market, the newsletter, or the weather—we’d just love to hear from you.
Till next time,
— Brandon and Blake
Disclosures
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