History's lesson is clear—restricting the machines never stops disruption. It only exports the gains.

The push to halt AI infrastructure in the United States echoes a 215-year-old pattern that has played out across cars, nuclear power, and genetically modified crops. While energy demands and job shifts from AI are very real, attempts to pause the physical backbone of the technology have never protected workers or economies. They have simply moved progress to places willing to build faster.

Key Takeaways

• The original Luddites were highly skilled English craftsmen who targeted exploitative machines, not technology itself—yet government force crushed their movement while the Industrial Revolution still transformed Britain.

• Four major historical cases show the same outcome: Red Flag laws slowed British autos for decades, American farmers eventually embraced cars and tractors, U.S. nuclear construction stalled after Three Mile Island only for data centers to revive it, and EU GMO restrictions left farmers dependent on imports.

• A U.S. moratorium on new AI data centers would not pause AI development—it would redirect massive training runs to China, the UAE, Singapore, and other nations racing to host them.

• AI exposes far more tasks to automation than past technologies, but the real challenge is accelerating displacement outpacing new job creation since the late 1980s.

• Long-term success has always come from policies that distribute gains—worker protections, retraining, and productivity-sharing—rather than banning the infrastructure.

• Tech leaders who deploy AI today report massive efficiency gains, suggesting the difference lies in adoption strategy, not the technology alone.

Why Costs Are Plummeting While Spending Explodes

AI is transforming how businesses operate, but the real driver is an overlooked unit of computation that's getting dramatically cheaper—yet fueling unprecedented investments. This shift unlocks new capabilities, from automated research to complex software builds, while infrastructure races to keep up.

Key Takeaways

• Tokens represent the core unit of AI processing, where input (prompts and context) costs less than output (responses), with prices varying 900 times between basic and advanced models.

• AI token costs have dropped 280 times in under two years, faster than any technology in history, enabling tasks like converting video transcripts into books for under $225.

• Despite falling prices, total AI spending surges due to expanded applications, with enterprise budgets rising 320% to $37 billion in 2025.

• AI agents amplify token consumption by 10 to 100 times through looped thinking and actions, making complex tasks like market analysis or app development feasible.

• Infrastructure investments hit $600 billion in 2026, shifting focus from training models to running them, with inference now over 50% of costs.

• Space-based computing emerges as a solution to earthly limits, with plans for up to 1 million satellites providing endless power and cooling.

• Optimizations like quantization and speculative decoding cut costs further, but new demands ensure spending keeps climbing.

• Winners include efficient token producers and infrastructure builders; losers are thin AI wrappers and seat-based software models.

Unveiling the hidden forces behind economic inequality, endless wars, and societal decay—and the tech innovation poised to rewrite the rules.

Inflation isn't just a headline—it's a silent thief eroding your future. Imagine a world where prices naturally drop as innovation thrives, families afford homes on a single income, and governments can't fund endless conflicts by printing cash. This newsletter dives into the flaws of modern money systems and explores a groundbreaking digital alternative that's already reshaping global finance.

Key Takeaways

• Modern fiat currencies allow unlimited printing, leading to hidden theft through inflation that devalues savings and forces people to work harder for less.

• Sound money systems promote deflationary pressures where prices fall and quality rises due to competition and innovation, benefiting everyone without government interference.

• Broken money distorts economic signals, pulling resources toward government-linked sectors and creating inefficiencies like obesity epidemics, housing crises, and demographic declines.

• A perfect money should be scarce, verifiable, divisible, portable, and censorship-resistant—qualities that gold approximated but modern digital solutions like Bitcoin perfect through technology.

• Adopting superior money could separate finance from state control, fostering a human renaissance with reduced wars, greater individual empowerment, and long-term societal prosperity.

• Global adoption of advanced money systems is inevitable, similar to the internet's rise, but we're still in the early stages—offering massive opportunities for those who act now.

Unlocking the Power of Scarce Digital Assets Amid Economic Shifts and Technological Leaps

Bitcoin stands out as a resilient store of value in an era where traditional currencies lose purchasing power through constant dilution, while emerging technologies like cheap energy and AI promise to disrupt everything from gold mining to global economies. This newsletter dives into how Bitcoin's fixed supply and built-in security could make it essential for preserving wealth, outperforming stocks, real estate, and even precious metals over long horizons.

Key Takeaways

• Bitcoin has consistently outperformed major asset classes like stocks, bonds, and commodities over the past decade, with annualized returns often exceeding 100% in early years and stabilizing around 20-30% recently.

• Traditional currencies have lost 65-99% of their purchasing power in the last 30 years across countries from the US to Venezuela due to inflation and debasement, pushing people toward assets that hold value better.

• Bitcoin's capped supply at 21 million units creates deflationary pressure on goods priced in it, making items like electronics cheaper over time when viewed through its lens.

• Unlike gold, which could be disrupted by asteroid mining or synthetic production via cheap energy, Bitcoin's scarcity is algorithmically enforced and resistant to physical discoveries.

• As a protocol, Bitcoin functions first as a cybersecurity tool using massive computational power to deter attacks, potentially securing digital assets in cyberspace beyond just money.

• In a future of AI-driven abundance and potential job displacement, governments may print more money to support populations, accelerating the flow into non-debasable assets like Bitcoin.

• Corporations are increasingly adopting Bitcoin as a treasury reserve, with holdings now rivaling major tech firms, offering a hedge against currency dilution and a path to long-term capital growth.

When autonomous vehicles meet Texas barbecue, things get interesting.

Picture this: Two self-driving cars pull up to Terry Black's BBQ in Austin. One stops in the middle of the road, blocking traffic. The other glides into the parking lot. Welcome to the current state of autonomous ridesharing, where the future is already here—it just needs some work.

Key Takeaways

• Waymo operates at larger scale in Austin with faster pickup times (1-3 minutes) but struggles with basic pickup/dropoff logistics, frequently stopping in active traffic lanes

• Tesla's Robotaxi delivers smoother rides with more human-like driving behavior but remains limited to a smaller service area in South Austin

• Integration matters: Waymo's reliance on Uber's app creates routing confusion and communication gaps between systems

• Pricing dynamics reveal market expectations: Waymo charges $7-12 per ride (roughly 2x Robotaxi's introductory pricing), with consumers expecting autonomous rides to cost less than human-driven alternatives

• Both services achieve core functionality: Safe arrival at destinations with minimal intervention, though execution differs significantly

• The Texas factor: Autonomous vehicles must navigate unique challenges including wrong-way drivers, construction zones, and unpredictable human behavior