The Smartest AI Investment Isn’t NVIDIA: It's Japanese Toilet Maker Toto
Speakers
Summary
- Japanese legacy companies are pivoting to critical AI infrastructure; a toilet maker (Toto) and a food company (Ajinomoto) control monopolies on essential chip manufacturing materials.
- Apple is reportedly developing a trio of AI hardware devices (glasses, camera-equipped AirPods, pendants) to compete with Meta's Ray-Bans, signaling a new hardware supercycle.
- The "Agentic AI" race is heating up with Meta launching Manus to compete with OpenAI's acquired tech, while Google aggressively ships Gemini 3.0 and Lyria 3 (music generation).
- XAI (Elon Musk) is entering the defense sector with a Pentagon contract for autonomous drone swarms, which may have downstream implications for Tesla's robotics orchestration.
Trade Ideas
Ejaaz explicitly states, "I have recently taken a position in Apple." Leaks suggest Apple is launching smart glasses, camera-equipped AirPods, and AI pendants next year. To make personalized AI agents truly useful, the AI needs to "see" and "hear" what the user experiences. Apple's hardware ecosystem is best positioned to capture this data input layer, moving beyond the iPhone into ambient computing. Long Apple on the thesis of an AI-driven hardware refresh cycle and the deployment of personalized agents. Hardware delays; failure to compete with Meta's Ray-Ban glasses; software (Siri/Apple Intelligence) lagging behind OpenAI/Google.
Meta is scaling its Ray-Ban smart glasses to 20-30 million units and has launched "Manus Agents" to compete directly with autonomous agent startups. Meta is successfully pivoting from a pure social media company to a hardware and AI agent ecosystem. They are productizing open-ended agentic workflows (controlling computers/tasks) faster than competitors, leveraging their massive distribution. Long Meta as they successfully integrate hardware (glasses) with software (Manus agents) to dominate the consumer AI interface. Regulatory scrutiny on data privacy; competition from Apple's upcoming hardware.
XAI (Elon Musk's private company) is working with the Pentagon on autonomous drone swarms. While XAI is private, Josh notes that XAI serves as the "intelligence layer" for the broader Musk ecosystem, including Tesla. The orchestration technology developed for drone swarms is the same logic required for Tesla's Optimus robot swarms and FSD fleets. Watch Tesla for technology transfer or synergy announcements related to XAI's defense and orchestration breakthroughs. XAI value does not accrue to Tesla shareholders; reputational risk from defense contracts.
Ejaaz Ahamadeen
Co-Host, Limitless Podcast (Bankless)
Toto, a $7B Japanese toilet company, has seen its stock rise 60% because it manufactures "ceramic chucks." These components hold silicon wafers in place during the chip etching process. Modern AI memory chips require vertical stacking and etching at negative 50 degrees. Metal warps at this temperature, but Toto's specialized ceramics do not. While this is only 10% of their product volume, it drives 40% of their profits, making them a hidden "pick and shovel" play for the semiconductor industry. Long Toto as a critical, non-obvious supplier to the semiconductor supply chain that the market is just beginning to re-rate. Cyclicality in the semiconductor memory market; reliance on specific etching technologies.
Ejaaz Ahamadeen
Co-Host, Limitless Podcast (Bankless)
Ajinomoto, known for making MSG food seasoning, produces a byproduct oil that is processed into a film substrate (ABF). This substrate is the industry standard for insulating and connecting high-performance CPU and GPU chips. Japan holds a monopoly on 14 critical substrates for AI chips, and Ajinomoto is the key player for this specific insulation layer. Long Ajinomoto as a monopoly holder on a material essential for Nvidia and TSMC's manufacturing process. Development of alternative synthetic substrates; global supply chain decoupling.
Ejaaz Ahamadeen
Co-Host, Limitless Podcast (Bankless)
Google released Gemini 3.0 (beating benchmarks by significant margins) and Lyria 3 (music generation) in a single week. The narrative that Google is "behind" is fading. They are shipping state-of-the-art models rapidly and expanding into new modalities like high-fidelity music generation, proving their R&D pipeline is converting to product. Long Google as they re-establish dominance in model performance and multimodal capabilities. Innovator's dilemma regarding Search revenue; continued PR mishaps with model bias.
