The High Ground of the Algorithm Age: America, China, and the New Contest for Technological Civilization
A review and analysis inspired by Jake Sullivan’s “The Tech High Ground” (Foreign Affairs, May/June 2026)
By the time historians write the definitive account of the twenty-first century, they may conclude that the decisive struggle was never fought over territory, ideology, or even military power in the traditional sense. Instead, it was fought over supply chains, semiconductors, data centers, AI models, rare earth minerals, battery factories, quantum laboratories, and the invisible standards governing digital life.
In The Tech High Ground, former U.S. National Security Adviser Jake Sullivan argues that the United States has misunderstood the nature of its competition with China. The central insight of his essay is deceptively simple: America believed the race was about invention; China concluded it was about implementation, scale, production, and control.
The result is a contest that increasingly resembles neither the Cold War nor the Industrial Revolution but something entirely new—a struggle over the architecture of technological civilization itself.
Viewed through the critical lens, Sullivan’s essay reads less like a policy paper and more like a warning against strategic complacency. Beneath its language of industrial policy and geopolitical competition lies a deeper question: What happens when a society that excels at imagination encounters a rival that excels at execution?
The End of the Innovation Myth
For decades, Americans comforted themselves with a powerful narrative.
Silicon Valley would invent.
The world would adopt.
America would prosper.
China, meanwhile, was cast as the imitator—a nation perpetually a few years behind, dependent on Western innovation and unable to challenge the technological frontier.
According to Sullivan, that assumption is now obsolete. China has constructed an alternative model of technological power focused not merely on invention but on commanding entire industrial ecosystems.
This distinction is crucial.
Innovation produces breakthroughs.
Industrial power determines who profits from them.
The smartphone illustrates the difference. The United States invented many of its core technologies. Yet enormous portions of manufacturing, component production, and supply-chain control migrated elsewhere.
China studied this lesson carefully.
Rather than attempting to dominate every frontier technology, Beijing sought leverage over strategic nodes—rare earth processing, batteries, pharmaceuticals, robotics, and critical manufacturing inputs.
The strategy echoes a principle long understood by military planners:
Control the terrain that everyone must cross.
The Four High Grounds
Sullivan organizes his vision around four strategic “high grounds.”
These are:
- A revitalized techno-industrial base.
- Military innovation and deterrence.
- A democratic digital order.
- Stable competition combined with selective cooperation.
The metaphor is military.
High ground confers structural advantage.
Once secured, it shapes everything below.
The brilliance of the framework lies in recognizing that these domains are interconnected. Industrial capacity supports military power. Digital standards shape global influence. Technological leadership affects economic resilience.
This is not a race to invent the next AI model.
It is a contest to determine who owns the infrastructure of the future.
Manufacturing Matters Again
One of Sullivan’s most provocative arguments challenges a belief that dominated globalization for decades:
That advanced economies could safely offshore manufacturing while retaining innovation leadership.
He argues the opposite.
When factories disappear, engineering expertise follows them. Over time, the feedback loops connecting designers, engineers, suppliers, and manufacturers erode.
This argument aligns with recent research from institutions such as MIT and Brookings Institution, which have highlighted the importance of production ecosystems in sustaining innovation.
The lesson is visible everywhere.
Modern batteries are not merely chemical inventions.
They are manufacturing achievements.
AI chips are not simply intellectual property.
They are products of extraordinarily complex industrial networks.
The nation that masters production acquires advantages that extend far beyond economics.
Artificial Intelligence as the New Steam Engine
Throughout the essay, AI occupies a role analogous to electricity during the Second Industrial Revolution.
It is not simply another technology.
It is an enabling technology.
A force multiplier.
A general-purpose platform capable of transforming countless industries simultaneously.
Recent developments support this assessment.
Systems from OpenAI, Google DeepMind, Anthropic, and Chinese firms such as DeepSeek have accelerated capabilities at a pace few anticipated five years ago.
Yet Sullivan’s focus is not on the models themselves.
It is on what comes after.
Who deploys them?
Who scales them?
Who integrates them into military systems, healthcare, manufacturing, logistics, and education?
History suggests that widespread adoption often matters more than invention.
The Soviet Union produced extraordinary scientists.
The United States built an economy that absorbed innovation at scale.
That difference proved decisive.
The Semiconductor Battlefield
If AI is the engine, semiconductors are the fuel.
Sullivan argues that advanced chips represent one of the few areas where the United States and its allies still possess a significant strategic advantage.
Hence his now-famous doctrine:
“Small yard, high fence.”
Protect only the most critical technologies.
Protect them aggressively.
This approach rejects both extremes.
Not full decoupling.
Not unrestricted globalization.
Instead, it seeks targeted controls around technologies with major national-security implications.
The idea reflects a broader shift in thinking.
Technology policy is no longer merely economic policy.
It is security policy.
The Military Learns to Think in Software
One of the most fascinating sections of Sullivan’s essay concerns military transformation.
Future conflicts, particularly over Taiwan, will depend on technological adaptation.
Cheap drones.
Distributed sensors.
Autonomous systems.
AI-enhanced command networks.
These technologies are already reshaping warfare.
The conflict in Ukraine demonstrated that relatively inexpensive drones can destroy assets worth millions of dollars.
Sullivan suggests that quantity itself becomes a strategic advantage when software and automation reduce costs.
The military implication is profound.
The future battlefield may reward adaptability more than mass.
Code may matter as much as steel.
Algorithms may become as important as ammunition.
The Ethical Problem
Here the essay enters more complicated territory.
Sullivan insists that AI must be adopted responsibly by democratic societies. He warns that norms governing military AI lag behind technological capabilities.
This concern has only intensified since the article’s publication.
Questions surrounding autonomous weapons, AI-assisted surveillance, algorithmic targeting, and machine-generated intelligence are becoming increasingly urgent.
The paradox is obvious.
Democracies must compete with rivals who may not share similar constraints.
Yet abandoning ethical standards risks undermining the very values democracies claim to defend.
This tension may become one of the defining political challenges of the century.
Exporting Operating Systems for Civilization
Perhaps Sullivan’s most compelling insight concerns digital infrastructure.
He argues that China is not merely exporting technology.
It is exporting a model of governance.
Telecommunications systems.
Cloud platforms.
Payment networks.
Surveillance tools.
Together they create what Sullivan describes as an operating system for authoritarianism.
Whether one agrees fully with that characterization, the broader point is difficult to dismiss.
Technical standards are not politically neutral.
The rules embedded within software influence privacy, transparency, freedom of expression, and state power.
In the twenty-first century, standards committees may shape history almost as much as parliaments.
Cooperation in an Age of Competition
A weaker essay might have ended with a call for technological confrontation.
Sullivan does something more nuanced.
He argues that competition and cooperation must coexist.
The United States and China remain deeply interconnected.
Climate change.
Pandemics.
Nuclear stability.
Scientific research.
These challenges cannot be solved unilaterally.
The result is an uncomfortable reality.
The two powers must simultaneously compete, cooperate, deter, negotiate, and innovate.
History offers few precedents for such a relationship.
The Real Question: Can Democracies Still Build?
Beneath the essay’s discussion of AI, semiconductors, and military innovation lies a more fundamental concern.
Can democratic societies still execute large-scale national projects?
Sullivan points to regulatory delays, procurement inefficiencies, permitting bottlenecks, and investment distortions that slow implementation.
His diagnosis echoes concerns raised by thinkers across the political spectrum.
The challenge is no longer identifying what must be done.
It is doing it.
Can democracies build power grids?
Can they construct semiconductor fabs?
Can they train skilled workers?
Can they align capital, institutions, and political will?
These questions may matter more than any individual technological breakthrough.
Conclusion: The Long Race
The Tech High Ground is ultimately a meditation on adaptation.
Its central warning is not that China is winning.
Nor that America is losing.
Rather, it is that the competition itself has changed.
The race is no longer about who invents first.
It is about who sustains advantage.
Who scales innovation.
Who controls supply chains.
Who sets standards.
Who translates discovery into durable power.
The contest Sullivan describes resembles a marathon run across multiple dimensions simultaneously—industrial, military, digital, economic, and political.
And unlike the space race, there will be no dramatic finish line.
Only continuous adaptation.
The countries that flourish will be those capable not merely of imagining the future but of building it.
Glossary
AI (Artificial Intelligence): Computer systems capable of performing tasks traditionally requiring human intelligence.
AUKUS: Security partnership among Australia, the United Kingdom, and the United States focused on advanced defense technologies.
Biomanufacturing: Production of materials, medicines, or chemicals using biological processes.
Digital Infrastructure: The technological backbone of communications, computing, and data services.
Integrated Deterrence: U.S. defense concept combining military, cyber, economic, and allied capabilities.
Rare Earths: Strategic minerals essential for electronics, batteries, and defense systems.
Semiconductors: Microchips that power computers, AI systems, telecommunications, and modern electronics.
Small Yard, High Fence: Strategy of narrowly defining critical technologies while imposing strict protections around them.
Techno-Industrial Base: The combined ecosystem of research, manufacturing, talent, infrastructure, and supply chains that supports technological leadership.
Total Factor Productivity: Measure of economic output generated from a given set of inputs.
Allied Scale: Coordinated industrial and technological capacity across allied nations.
References
- Jake Sullivan, The Tech High Ground: What It Will Take to Gain the Advantage Over China, Foreign Affairs, May/June 2026.
Glossary
AI (Artificial Intelligence) – Computer systems capable of performing tasks requiring human-like reasoning, learning, or decision-making.
Allied Scale – Coordinated technological and industrial capacity across multiple allied nations.
Biomanufacturing – Production of materials, chemicals, or medicines using engineered biological systems.
CHIPS Act – U.S. legislation supporting domestic semiconductor manufacturing.
Electric Stack – The ecosystem of batteries, motors, semiconductors, and power electronics supporting electrification.
Export Controls – Government restrictions on the transfer of strategic technologies.
Industrial Policy – Government actions designed to support targeted industries.
Quantum Computing – Computing technology that uses quantum mechanics to solve certain problems more efficiently than classical computers.
Rare Earths – Critical minerals used in advanced electronics, defense systems, and renewable energy technologies.
Small Yard, High Fence – Strategy of protecting a limited set of critical technologies with strict controls.
Techno-Industrial Base – The combination of scientific research, manufacturing capability, supply chains, workforce skills, and infrastructure that supports technological power.
Taiwan Strait – Strategic waterway between China and Taiwan that is central to Indo-Pacific security.
References
- Jake Sullivan, “The Tech High Ground: What It Will Take to Gain the Advantage Over China,” Foreign Affairs, May/June 2026.
- Hoover Institution, Stanford Emerging Technology Review 2026.
- Daron Acemoglu and Simon Johnson, research on innovation, industrial capability, and economic productivity.
- Jeffrey Ding, research on technology diffusion and national productivity. Referenced in Sullivan’s discussion of technological adoption
- Recent publications and policy analyses from the Center for Strategic and International Studies, RAND Corporation, and the World Economic Forum on AI, semiconductor competition, supply-chain resilience, and emerging technology strategy.
