The Next 250 - America 250th Series
The following was written by Spartan Forge CEO, Bill Thompson
I want to begin with a letter. The year is 1780. The war is not yet won. The Constitution has not yet been written. The republic is barely drawing its first breath. And Benjamin Franklin is sitting in Paris, thinking not only about independence, but about the future.
Franklin wrote that he was almost sorry to have been born so soon, because he would not have “the happiness of knowing what will be known a hundred years hence”.
That is the American mind in embryo: not satisfied with the present, not content simply to defend what already exists, always turning toward the next unknown, always looking for the edge of the map and past it.
What They Couldn’t See
We are the people Franklin imagined. We are 250 years into the experiment he helped design. If he were here now, having seen aircraft, satellites, computers, private rockets, lunar spacecraft, and machines that can reason across oceans of data, he would probably say the same thing again: I’m sorry I won’t live to see what comes next.
Every generation of Americans has faced terrain it could not fully see. The founders could not map the country beyond the Appalachians. Lewis and Clark could not know whether the Rockies would yield a passage. Apollo engineers could not know whether the Moon would hold the weight of a landing leg. What they shared was not certainty. It was method: disciplined observation, ruthless charting, informed risk, and the belief that free people, given the right tools, can solve hard problems.
That thread now runs into artificial intelligence, autonomous systems, space, geospatial intelligence, and the next operating environment of the American republic.
The Intelligence Revolution
The line from William Clark’s hand-drawn maps to today’s battlefield runs through the National Geospatial-Intelligence Agency. Most Americans never think about NGA, but its work sits at the center of modern warfighting: imagery, mapping, targeting, terrain, signals, and the ability to understand the world fast enough to act.
NGA describes its current artificial intelligence mission as producing better GEOINT data and AI models for defense and intelligence users, with machine learning applied to imagery, video, and geospatial data at scale. The agency has also announced a $708 million data-labeling effort to support AI and machine-learning capabilities, because even the most advanced models still depend on disciplined, structured data.
That matters because modern war is becoming a problem of speed. During the Lewis and Clark expedition, Clark carried a compass, a sextant, and a journal. Today, the descendants of that mapping tradition are training AI to read the surface of the Earth continuously.
The mission has not changed. The speed has.
Machines That Fight
DARPA exists to create and prevent technological surprise. That is not a slogan; it is the entire point of the organization. It looks for the thing that will change the next battlefield before the next battlefield arrives.
That is why the Air Combat Evolution program matters. In 2024, DARPA announced the first in-air tests of AI algorithms autonomously flying a modified F-16, the X-62A VISTA, against a human-piloted F-16 in within-visual-range combat scenarios.
That was not a gimmick. It was a threshold event. The point was not simply that a machine could fly. The point was that human beings were beginning to understand when a machine could be trusted at machine speed, inside a combat problem where hesitation kills.
AI is not replacing judgment. It is becoming the utility through which judgment is exercised at scale. A commander without machine-speed support will not simply be less efficient. He will be slower, more exposed, and increasingly blind against an adversary that has already built AI into the nervous system of its force.
The old American problem was terrain. The new American problem is tempo.
And tempo demands trust. That is why programs focused on secure battlefield AI matter as much as programs focused on performance. A corrupted AI layer can misread the battlefield. A compromised targeting system can turn precision into chaos. A military that cannot trust its machine layer cannot fight at modern speed.
The goal is not an autonomous military detached from human conscience. The goal is an American military in which disciplined commanders, trained in history, law, terrain, and moral responsibility, are empowered by tools that can handle the data flood.
The machine carries the load. The human carries the moral weight.

The Next Frontier
Space is no longer a distant theater. It is the infrastructure layer beneath modern life.
Navigation, banking, agriculture, aviation, missile warning, precision fires, communications, weather forecasting, disaster response, and global logistics all depend on systems orbiting above us. The high ground is no longer symbolic. It is operational, commercial, military, and civilizational.
GPS is a good example. Space Systems Command notes that the GPS III generation provides eight times the anti-jamming capability and four times the accuracy of previous systems. That is not abstract. That is the difference between movement and paralysis when signals are contested.
This is also why Artemis matters. The Artemis II mission was not only about returning humans to the Moon. It was about proving that free nations can still explore, build, cooperate, and occupy the next frontier before authoritarian powers define the terms of access. In April 2026, the Orion capsule, named Integrity, carried astronauts around the Moon and returned safely to Earth, humanity’s first crewed lunar journey since Apollo.
The founders would have understood the principle immediately. Exploration was never separate from sovereignty. Lewis and Clark were not tourists. They carried instruments, maps, weapons, diplomatic instructions, scientific curiosity, and the authority of a republic determined to understand the continent before rival empires could dominate it.
The same principle now applies to cislunar space.
The Moon is not only a destination. It is terrain. Mars is not only a dream. It is the horizon. The space between Earth and the Moon is not empty. It is the next operating environment.
America cannot afford to arrive second.
What the Thread Requires
From Jefferson to Lewis and Clark, from the Topographical Engineers to the rail surveys, from GPS to Space Force, from DARPA to AI-enabled combat, the American story has always been the same: free people build tools, draw maps, secure the frontier, and move first.
The tools change. The obligation does not.
Jefferson looked at the Louisiana Purchase, a territory larger than the existing United States, and he did not wait for certainty. He sent capable, disciplined men with the best instruments available and ordered them to gather intelligence, establish presence, draw maps, and report back.
That is the American method.
Move first. Map first. Build first. Secure first.
That is what AI now requires. The Army’s creation of a new AI and machine-learning officer career path is not bureaucratic housekeeping. It is the recognition that artificial intelligence has become a core military utility. Like electricity, it must be generated, distributed, secured, governed, and maintained. Like fuel, it determines range, speed, endurance, and freedom of action.
A force that treats AI as a side project will lose to a force that treats it as infrastructure.
The same is true of edge computing, resilient communications, autonomous systems, space assets, and cyber defense. The cloud will not always be available. Satellites will be jammed. Networks will be attacked. Command posts will be targeted. Units will be isolated.
When that happens, the question will be simple: can this unit still see, decide, move, strike, and survive?
AI at the edge is the answer. Not someday. Now.
America must be the first mover in these spaces not because America is perfect, but because America is the only great power founded explicitly on the proposition that rights come before the state. That foundation matters because AI will magnify whoever wields it.
In the hands of a free republic, it can help defend order, deter aggression, reduce risk to human beings, and preserve the space in which liberty can survive. In the hands of authoritarian regimes, it becomes something else entirely: a surveillance engine, a coercion engine, a targeting engine, a tool for controlling populations and overwhelming adversaries before they can respond.
That is why hesitation is dangerous.
The republic does not have the luxury of treating AI, autonomy, space systems, robotics, cyber defense, and resilient communications as separate debates. Together, they are the new strategic utility layer. They are the modern equivalent of roads, canals, railroads, maps, telegraphs, radar, and GPS.
They are how power moves. They are how decisions happen. They are how deterrence is maintained.
The Spartan Forge Through Line
Here is where the series lands.
Across these stories, from the Continental Army’s first maps to the Civil War’s telegraph networks to the Cold War’s satellite reconnaissance, the common thread has always been the relationship among information, terrain, tools, and decision.
The American warfighter has always been at his best when he had three things at once: situational awareness, reliable American-built equipment, and the training to act on that awareness with precision and control.
That is not an accident of military culture. It is a product of the American experiment: the conviction that the individual with good tools and good training can solve problems that mass and central authority cannot.
The instruments change. The principle does not.
In 1804, that meant a compass, a sextant, a rifle, and William Clark drawing a river bend by firelight. Today, it means jam-resistant GPS, AI-assisted intelligence, autonomous systems, and Guardians tracking objects in orbit.
The principle connecting those moments is the same: you cannot fight what you cannot see. You cannot move through terrain you have not mapped. You cannot decide faster than your adversary if you do not have the tools to process what you observe.
Precision instruments, built to function in the field and trusted when nothing else can be, are not luxury items in this tradition. They are the operational foundation of everything that follows.
That is what this series has been building toward.
Closing Thoughts
Benjamin Franklin was born in Boston in 1706 and died in Philadelphia in 1790, the year after the Constitution was ratified. In his final years, he said he was sorry he would not live to see what a hundred years would bring.
He would have been 320 years old in 2026. He would have watched astronauts fly around the Moon aboard a spacecraft named Integrity. He would have watched AI algorithms fly a modified F-16 in combat training. He would have watched satellite networks become the backbone of modern war and modern life.
He would not have been surprised. He would have been curious. He would have pulled out his notebook, asked the engineer about the physics, the soldier about the decision loop, and the astronaut about what Earth looked like from out beyond it.
And then he would have asked the American question:
What comes next?
Two hundred and fifty years in, that question has not grown tired.
The next 250 start now.
Sources & Further Reading
· Benjamin Franklin quote on future knowledge
· Pentagon AI agreements with commercial AI companies
· NGA GEOINT Artificial Intelligence
· NGA $708 million data-labeling RFP
· CSIS: What Is Maven Smart System?
· DARPA Air Combat Evolution program
· U.S. Army AI and machine-learning career path
· Space Systems Command on GPS III
· NASA Artemis II mission page
· Reuters report on Artemis II splashdown
· Reuters report on SpaceX Starshield and Starlink military use