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CES gave us AI panda pets, anime holograms, and shiny new PC chips promising 50% more performance—because the answer is always more AI. Nvidia’s Rubin says the future is faster, but the reality is scarcity and waiting lists. Meta quietly delayed its Ray-Ban smart glasses rollout, a reminder that demos scale faster than products. Robot vacuums now whisper around babies, governments are spending hundreds of millions on cybersecurity to save billions, and Steve Jobs’ childhood relics are heading to auction 👀
Video pick: The AI Bubble Looks EXACTLY Like The 1929 Crisis
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Six bullets of updates
🖥️ New PC chips promise faster AI-driven gaming and creative multitasking with up to 50% better performance.
🕶️ Meta hits the brakes on its Ray-Ban display glasses’ launch, delaying expansion to four countries originally slated for early 2026.
🧀 Homemade snacks win big as this duo's side hustle becomes a 250,000-orders sensation by finding the right partner to scale up .
🤖 Narwal’s new vacuum uses AI to auto-switch to “quiet mode” by the crib, detecting babies and pets with 96% accuracy.
🛡️ The UK is betting £210M on cybersecurity to unlock £45B in digital productivity gains across government.
🍏 Steve Jobs’ childhood treasures—including early Apple mementos from his old bedroom—are hitting the auction block this month.
🤖 CES 2026 unveiled AI-powered panda pets and anime holograms, with over 5,000 exhibitors showcasing futuristic oddities.
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Wellness tech, environmental hangover
Photo by Blocks Fletcher on Unsplash
Wearable health gadgets are quietly becoming a massive e-waste problem. A new study estimates that by 2050, these devices could generate over a million tons of discarded electronics, driven by demand rising to nearly 2 billion units a year. The carbon cost is just as steep—around 100 million tons of CO₂ over that period.
The surprising part isn’t the plastic bands or casings. Most of the environmental damage comes from the electronics inside. Printed circuit boards—packed with chips and hard-to-source metals—account for roughly 70% of the footprint. In other words, a compostable strap doesn’t fix a disposable device.
For startups, the takeaway is practical. Build wearables so the core electronics can be reused, refurbished, or swapped out. Plan for take-back programs, longer software support, and slower upgrade cycles. Regulations are heading this way anyway, and buyers are starting to ask for hard data on e-waste and emissions. Done right, reuse can lower costs, reduce reliance on scarce materials, and unlock subscription-style hardware models.
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The AI Bubble Looks EXACTLY Like The 1929 Crisis
Are we repeating 1929—or just rhyming with it? The Roaring Twenties ran on debt, tech hype, speculation, and inequality. Sound familiar? This episode compares the core triggers of the Great Depression with today’s world heading into 2029—leverage, AI hype, global debt, and a widening wealth gap—and asks what’s truly similar, what’s different, and whether modern guardrails are enough to stop history from repeating.
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Five T-Shirts. One Less Decision Every Morning.
Founders make hundreds of decisions every day. What to wear shouldn’t be one of them. WFH Studio built a 5-day T-shirt system for entrepreneurs who value focus: clean for video calls, comfortable all day, 100% cotton.
One shirt per weekday. Zero mental overhead.
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⚽ Mario Götze’s angel play: 70+ startups, 2 unicorns, and €25k–€50k checks across B2B SaaS, biotech, and cybersecurity.
🔍 Great products emerge when you get close enough to feel customer pain — Airbnb's revenue doubled in a month.
Slidebean Revenue Data
Mistakes were made as we grew Slidebean, but those mistakes shaped the lessons that helped us thrive. The journey wasn’t just about surviving—it was about learning and evolving.
To give you an honest glimpse into what growth really looks like, we’re sharing our actual financial numbers from the formative years of Slidebean. Download them now and see the ups, downs, and everything in between that built the company we are today.
Photo by Jakub Żerdzicki on Unsplash
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Rubin and the reality of AI scarcity
Photo by Sahand Babali on Unsplash
Nvidia unveiled Rubin, its next-generation chip platform for large AI systems. It’s already in production, with volume ramping later this year, and promises big jumps in speed and efficiency over today’s chips. In theory, that should make AI cheaper—if you can get access.
In reality, the biggest cloud players will likely grab supply first, leaving startups dealing with tight capacity into 2026. Inference should get cheaper before training does, which favors agent-style systems. For now, Nvidia—and its manufacturing bottlenecks—still set the tempo of the AI economy.