Insiders in top robotics labs are witnessing fundamental breakthroughs. These “signs of life,” while rudimentary now, are clear precursors to a rapid transition from research to widely adopted products, much like AI before ChatGPT’s public release.

The conflict in Ukraine exposed the vulnerability of expensive, "exquisite" military platforms (like tanks) to inexpensive technologies (like drones). This has shifted defense priorities toward cheap, mass-producible, "attritable" systems. This fundamental change in product and economics creates a massive opportunity for startups to innovate outside the traditional defense prime model.

By coining the term 'low altitude economy,' China is signaling a deliberate, top-down industrial strategy to own the market for autonomous flying vehicles (EVTOLs) and delivery drones. This isn't just about a single company; it's about creating and regulating a new economic sector to establish a global manufacturing and operational lead.

Leading AI companies, facing high operational costs and a lack of profitability, are turning to lucrative government and military contracts. This provides a stable revenue stream and de-risks their portfolios with government subsidies, despite previous ethical stances against military use.

Navigating technological upheaval requires the same crisis management skills as operating in a conflict zone: rapid pivoting, complex scenario planning, and aligning stakeholders (like donors or investors) around a new, high-risk strategy. The core challenges are surprisingly similar.

Recognizing Russia's high tolerance for military casualties, Ukraine has shifted its strategy to asymmetric economic warfare. By systematically using long-range drones to attack Russian oil refineries and tankers, Ukraine aims to inflict financial pain where the human cost of war has failed to be a deterrent, creating what they call "the real sanctions."

Tech companies often use government and military contracts as a proving ground to refine complex technologies. This gives military personnel early access to tools, like Palantir a decade ago, long before they become mainstream in the corporate world.

While on-device AI for consumer gadgets is hyped, its most impactful application is in B2B robotics. Deploying AI models on drones for safety, defense, or industrial tasks where network connectivity is unreliable unlocks far more value. The focus should be on robotics and enterprise portability, not just consumer privacy.

The US military's 30-year strategy, born from the Gulf War, of relying on small numbers of technologically superior weapons is flawed. The war in Ukraine demonstrates that protracted, industrial-scale conflicts are won by mass and production volume, not just technological sophistication.