RSRitik Sharma
AboutRSNProjectsResearchContact
  • About
  • RSN
  • Projects
  • Research
  • Contact

Tools

  • Machine Maker
  • Color Maker

Ritik Sharma © 2026 · Version v3.0.0

Machine Maker component data from BuildCores OpenDB, licensed under ODC-By 1.0.

All issues
RSN037 ThumbnailRSN037
RSN03717.08.2026.09.00.MON5 MIN READ

The AI Economy Becomes Physical

This week made one thing increasingly clear: artificial intelligence is no longer primarily a software story.

Capital markets are being reorganized around compute. Apple is building different intelligence systems for different geopolitical environments. Autonomous vehicles are moving from trials toward fleet-scale deployment. Google is pushing agents deeper into everyday work. Meanwhile, war continues to demonstrate how dependent the digital economy remains on physical infrastructure. Five stories that defined the week.

By Ritik Sharma · Founder, Aooma
Share this issue
X LinkedIn Bluesky Email
01

The Strait of Hormuz Crisis Deepens

The global technology economy still depends on physical chokepoints that software cannot abstract away.

What’s Happening: Tensions around the Strait of Hormuz intensified again this week. Reuters reported that tanker traffic through the strategic waterway slowed further after attacks on vessels and renewed confrontation between Iran and the United States. Oil prices climbed as hopes for an immediate settlement weakened, while Iran continued to assert control over shipping through the strait.

Why it matters to you: Energy prices eventually propagate through almost every technology business. Electricity, data-center operations, logistics, manufacturing, inflation and interest rates are all affected. Building resilient companies increasingly requires understanding geopolitical dependencies as seriously as technical dependencies.

Why it matters to the world: Hormuz remains one of the most consequential infrastructure chokepoints on Earth. Disruption there can rapidly affect fuel prices, inflation and economic growth across continents. The crisis demonstrates that digital civilization remains inseparable from energy security.

02

Nvidia and Wall Street Explore a $500 Billion AI Financing Machine

AI infrastructure is moving from corporate spending into a new global asset class.

What’s Happening: Reuters reported that Nvidia is working with major Wall Street institutions on financing structures that could support as much as $500 billion of AI infrastructure investment. The effort comes as Big Tech's combined AI-related capital expenditure is expected to exceed $730 billion this year.

Why it matters to you: Compute is increasingly becoming financial infrastructure. Future AI companies may obtain processing capacity through financing arrangements resembling those used for energy projects, aircraft or telecommunications infrastructure rather than simply buying GPUs or renting cloud servers.

Why it matters to the world: The scale is extraordinary. AI is beginning to absorb capital at levels normally associated with national infrastructure programs. If demand continues growing, this financing system could accelerate the construction of global compute capacity. If demand underperforms, the industry could inherit enormous, long-duration financial obligations.

03

Apple Builds a Separate AI Model for China

The dream of one universal global AI stack is disappearing.

What’s Happening: Reuters reported that Apple has trained its own large language model specifically for China with support from Alibaba. Apple Intelligence is expected to combine Apple's China-specific technology with Alibaba's Qwen as the company works through Chinese regulatory requirements. Reuters said the arrangement could make Apple the first foreign company approved to offer a proprietary AI model in China.

Why it matters to you: Global technology products can no longer assume one architecture works everywhere. Data sovereignty, model availability, regulation and national policy are forcing companies to design geographically adaptable AI systems.

Why it matters to the world: AI is increasingly becoming an expression of technological sovereignty. American models may dominate one region while Chinese models dominate another. Apple is effectively demonstrating how global products may operate across multiple national intelligence ecosystems simultaneously.

04

Google Pushes Gemini Further into Coding and Agents

The next model race is increasingly about completing work rather than answering questions.

What’s Happening: Google launched Gemini 3.7 Flash on August 13, targeting software development and automated business workflows. The model extends Google's push toward faster agentic systems capable of performing multi-step tasks while the industry waits for Google's next flagship Gemini Pro model.

Why it matters to you: The practical frontier of AI is moving from conversation toward execution. The important metric is becoming how reliably a system can plan, use tools, write code, interact with software and finish real workflows rather than simply produce compelling text.

Why it matters to the world: Agentic AI could alter the economics of knowledge work much more profoundly than chatbots did. When models become capable of completing processes rather than merely assisting humans within them, software begins shifting from passive tools toward autonomous operational infrastructure.

05

Uber and Pony.ai Plan More Than 2,000 Robotaxis in Europe

Autonomous vehicles are beginning to move from demonstration projects into transportation infrastructure.

What’s Happening: Chinese autonomous-driving company Pony.ai and Uber announced plans to deploy more than 2,000 robotaxis across Europe. The partnership will expand beyond its existing commercial operation in Zagreb into four additional European cities, with further expansion planned for the Middle East.

Why it matters to you: Autonomy becomes transformative when software connects directly to physical operations. Robotaxis combine AI, sensors, mapping, safety engineering, fleet management and marketplaces into one integrated system. That systems-level complexity is where increasingly valuable technology companies will be built.

Why it matters to the world: Transportation may become one of the first major industries where autonomous AI directly replaces continuous human operation at scale. A fleet measured in thousands rather than dozens signals that robotaxis are progressing from experimentation toward commercial infrastructure.

In closing

This week’s stories appear separate: Hormuz, Nvidia financing, Apple's China strategy, Gemini agents and European robotaxis. They are connected by one transition: AI is becoming physical infrastructure. It needs electricity. It needs capital. It needs national regulatory permission. It needs machines capable of acting in the real world. And it still depends on geopolitical systems far beyond the data center. The companies that define the next technological era will not simply build better models. They will understand how intelligence connects to capital, energy, hardware, regulation and the physical world around it.

— RitikBuild something honest. I'll see you in the next transmission.
Never miss an issue

The Ritik Sharma Newsletter, weekly.

Share this issue
X LinkedIn Bluesky Email
◂ OlderRSN036 · The Week AI Risk Became Real InfrastructureNewer ▸RSN038 · The Economics of Intelligence Begin to Change