🚨 UNCONFIRMED REPORTS CLAIM KIM JONG UN HAS DIED Rumors are spreading that North Korean leader Kim Jong Un suffered a brain hemorrhage, fell into a coma and later died after being transferred for treatment in Beijing. The same claims allege China sent 9,000 troops to Pyongyang and placed its Northern Theater Command on heightened alert amid preparations for a possible succession involving Kim’s daughter, Ju Ae. None of this has been independently confirmed.

Tech blogger 神奇阿宇 from Hubei, China, built a working hoverboard. Electric, with 10 brushless motors pushing over 30kg of thrust each—enough to lift 4 people—and peak current hitting 2,000 amps. 2 STEPX Neo phones as the board's brain. One inside the board reads posture data in real time; the other on his wrist feeds AI voice prompts through his earbuds—"Weight's shifting left!" "Bend your right knee!" After 10+ days of brutal training and AI-assisted correction, he achieved man-machine sync.

Ok, one more chart today proving the AI bubble doesn't exist Global AI revenue just hit a $229B run rate, up 3.5x in a single year and now doubling every 7.2 months "But revenue doesn't cover the capex!" I know. Here's why that argument is stupid Firstly, Exponential View shows $140B of actual AI revenue over the last 12 months, $229B annualized run rate. The run rate sitting way above trailing means growth is ACCELERATING, not slowing But Hyperscalers are spending $600B+ on capex this year and AI revenue is "only" $229B. Well, capex is growing roughly 36% this year while AI revenue grew 250%. That means, revenue is compounding 7x faster than the spending And per Exponential View's own analysis, AI revenue now clears the depreciation bar on the compute base. That was Michael Burry's entire short thesis (the chips depreciate faster than the revenue shows up). So we have Debt to keep the build moving and now we have revenues growing fast enough to pay for it. The AI bubble is no longer I'm positioned all through the AI infra stack (compute, memory, power) and if this was helpful, my company runs a service where 5 top-tier analysts share their research and real-time portfolios so you can see exactly what we're buying. It's just $1 to try it out (insane price just to check it out), learn more here: Don't forget to give me a follow @kylereidhead for more insights on AI and markets

GOOD NEWS 🤖 According to supply-chain vendors and today’s report by Jiemian News, Tesla has issued an initial batch order for roughly 5,000 Optimus robots 🔥 Following earlier pilot runs of just a few hundred units, this marks the program's first production order in the thousands. The new order establishes a firm baseline delivery target of around 15,000 units this year. More importantly, it signals a critical pivot: the supply chain is moving past merely proving the robot can be built and into the phase of testing real volume manufacturing. The immediate hurdle is a crucial round of domestic supplier audits scheduled for September—Tesla's standard gateway for bumping vendors from provisional status to certified mass-production partners. That timing fits right into Tesla’s procurement guidance, which calls for suppliers to hit a run rate of 1,000 units per week in September, ramping up to between 2,000 and 2,500 weekly by year-end. While Tesla has a track record of sliding timelines, this milestone carries different weight. With purchase orders officially cut, audits on the calendar, and suppliers actively stocking inventory, the program is shifting from executive talk to real execution on the factory floor.

My hyper-bull case is that 30% of global rides will be driven by AVs in 10 years. This will require ~120M+ cars doing ~25 rides a day ~360 days a year. It will cost ~$5T to build these cars at ~$40,000 each. 12M cars are built a year on average, but there will be a slow and steady ramp; perhaps 250k in 2027, 500k in 2028, 1m, 3m, etc (build your own model). Predict Tesla will be #1# in this space with 40% market share -- which would mean building ~50M cars in a decade. Zero to 40% market share and 5M cars a year on average is an insane ramp up -- but Tesla is the company best positioned to do this. Uber will be in second place with 35% market share, with two dozen partners putting absurdly cheap Chinese, Japanese, and purpose-built robotaxis into their fleet -- as no car maker wants to go head-to-head with Tesla building cars AND building a network. Waymo will buy a car maker in the next 12 months, creating a hybrid of Tesla and Uber: full-stack cars built in its factory, deployed on its network, and also added to Grab, Lyft, Uber, and other networks to increase utilization. The big story? Someone will need to fund FIVE TRILLION DOLLARS WORTH OF CARS 120M+ cars @ $40,000 each on average; some will be 15-20k two-seaters, some will be premium SUVS at $80,000. $7-10T+ in annual revenue is at stake for AVs alone. At a 20-40%+ gross margin, $1-2T+ in EBIDA/cash flow, we will be talking about ~20-30T in market cap. Waymo and Uber are worth ~$120B and $150B; Tesla is worth $1.4T at the moment. There's 18-28T in market cap about to be created. Please run this through your own LLMs and models... move the variables around however you like. $5 average ride, $10 average ride, $50k average vehicle cost, etc. 10% of total rides... 50% of total rides... ... however you slice it, this will be the largest market in the world for AI over the next decade. After that, human robotics will be the TAM/biggest market cap opportunity in the world... but we can do that model next.