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Geopolitics & World Order

The post-1945 rules-based international order led by the US is fragmenting into a might-is-right multipolar system. Multiple active conflicts — Russia-Ukraine, Middle East, trade and technology wars — are interconnected fronts in what amounts to a world war by historical standards, following Dalio's "Big Cycle" pattern that has preceded every major power transition in the last 500 years. The US response combines AI-driven reindustrialization with a defense startup ecosystem ("American Dynamism") racing to rebuild domestic industrial capacity and critical technology leadership.

Created Jun 11, 2026·Updated Jul 4, 2026

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The Big Cycle Framework

Ray Dalio's "Big Cycle" model identifies a 13-step escalation sequence that has recurred across major power transitions. The sequence runs from the initial relative decline of a dominant power (Step 1) through economic wars, alliance formation, proxy conflicts, weaponized chokepoints, and multi-theater combat, culminating in a new order designed by the winning side (Step 13). Dalio's indicators place the current moment at roughly Step 9 — multi-theater conflicts happening simultaneously — analogous to 1913–14 or 1938–39.

Five forces drive the cycle:

  1. Money, debt, and economics — big cycles of monetary order and disorder
  2. Internal political fracture — wealth and values gaps eroding domestic cohesion
  3. External order breakdown — rising powers challenging the incumbent
  4. Technology advances — dual-use breakthroughs and related financial bubbles
  5. Acts of nature — droughts, pandemics, and climate disruptions

Rules-Based to Might-Based Transition

The world order has shifted from a multilateral, rules-based system led by the US and its allies (e.g., the G7) to a might-is-right order with no single dominant power enforcing rules. This resembles the international landscape that existed through most of history prior to 1945 rather than the anomalous stability of the postwar period. The practical implication is more frequent conflict, because there is no credible enforcer to deter it.

Overextension and Pain Tolerance

A recurring historical pattern is that overextended empires — those with commitments exceeding their capacity to defend them — suffer from that overextension. The US currently maintains 750–800 military bases in 70–80 countries (China has one), creating expensive vulnerabilities and making multi-front warfare implausible. source(https://raydalio.substack.com/p/the-big-thing-we-are-in-a-world-war)

Dalio argues the most reliable predictor of who wins a conflict is not raw power but which side can endure the most pain the longest. By this measure, the US — despite being the most powerful country — may be the weakest major power at sustaining prolonged conflict, given domestic political dynamics, election cycles, and public appetite for war. source(https://raydalio.substack.com/p/the-big-thing-we-are-in-a-world-war)

Alliance Blocs and Strategic Chokepoints

Two broad alliance blocs are consolidating, with allegiances measurable through UN voting, treaty commitments, economic ties, and leaders' statements. The cohesion and credibility of these alliances — especially whether the US can and will defend its partners — is the central variable shaping the next decade.

Key alliance structures:

  • US-aligned: NATO (Article 5), US-Japan, US-South Korea, US-Philippines, AUKUS, Abraham Accords / GCC partnerships
  • China-Russia-Iran-North Korea axis: China-Russia "No Limits" partnership, Comprehensive Iran-China 25-Year Agreement, Russia-Iran defense cooperation, Russia-North Korea mutual defense treaty

Chokepoints like the Strait of Hormuz and the Taiwan Strait are becoming weaponized bargaining chips. Control of these passages and the credibility of alliance commitments to defend them are central to how the order reshapes.

Flashpoints and Probability Estimates

Dalio assigns rough five-year escalation probabilities to major flashpoints:

  • Iran-US-Israel war — already active and intensifying; resource depletion on all sides
  • Ukraine-NATO-Russia — ~30–40% chance of expanding beyond Ukraine
  • Taiwan / US-China — ~30–40% military conflict probability, highest risk around 2028
  • North Korea — ~40–50% chance of some military engagement
  • South China Sea (Philippines-China) — ~30% chance of a clash testing US treaty obligations

The aggregate probability of at least one major escalation exceeds 50%.

US Reindustrialization Strategy

The US response to this geopolitical landscape has two reinforcing prongs: AI-driven infrastructure build-out and a defense startup ecosystem racing to compress decades of procurement timelines.

AI infrastructure. NVIDIA CEO Jensen Huang articulates reindustrialization as a five-layer investment stack: energy, chips, infrastructure (land, power, data centers), AI models, and applications. The scale is enormous: tens of trillions of dollars in new computing infrastructure over the next decade, replacing systems built over the previous sixty years. The reindustrialization is concentrated in advanced manufacturing — chip fabs, packaging plants, optical component factories, and data centers — rather than a return to commodity manufacturing, targeting precisely the high-skilled, high-wage production work the US has lost. Roughly 600,000 jobs have already been created in this build-out.

Defense startups and American Dynamism. The technology leadership gap is stark: the US once led in 60 of 64 critical technologies tracked by ASPI; China now leads in 57 and the US in only 7. source(https://www.a16z.news/p/america-securing-next-250-years) The a16z "American Dynamism" thesis frames the startup ecosystem as a national security accelerant. Legacy defense primes once needed nearly 30 years to reach their first $100M program; the first generation of government-facing startups did it in 15 years; today's cohort — powered by AI, autonomy, and new acquisition pathways — is hitting those milestones in under 5 years. Anduril won its first program of record in 3 years; Saronic did it in under 3. source(https://www.a16z.news/p/america-securing-next-250-years)

The scope extends beyond defense into the full "shift left" electro-industrial stack — batteries, motors, chemicals, materials, mining — everything enabling domestic resilience and nearshored supply chains. Crucially, while startups are often headquartered in coastal tech hubs, scale manufacturing returns jobs to the heartland: Anduril's Arsenal-1 hyperscale factory in Columbus, Ohio, is expected to create over 4,000 direct jobs (the largest single job-creation project in the state's history), and Saronic's Louisiana shipyard expansion projects about 3,270 jobs at average pay roughly 46% above the parish average. source(https://www.a16z.news/p/america-securing-next-250-years)

Energy as binding constraint. Without sufficient energy production, no amount of chip fabs or data centers can be built. The current administration's pro-energy-growth stance is framed not as climate policy but as industrial prerequisite — the argument being that market demand from AI infrastructure can fund sustainable energy upgrades (solar, nuclear) without government subsidies for the first time.

Taiwan's Dual Strategic Role

Taiwan occupies a unique position in this landscape: it is simultaneously the world's most critical semiconductor supply chain node and a strategic partner actively helping the US diversify away from dependence on that very node. Taiwanese companies (TSMC, Foxconn, Wistron) are building fabs and factories on US soil, bringing expertise, labor, and integrated supply chain knowledge.

This creates a tighter economic stitching between the US and Taiwan that has geopolitical implications. The US now imports more goods from Taiwan than directly from China — a shift driven partly by AI infrastructure demand. Taiwan's role as both irreplaceable supplier and onshore manufacturing partner strengthens the US commitment to its defense, adding economic interdependence to the existing security treaty relationship.

Export Controls as Geopolitical Instrument

Export controls on AI chips illustrate the tension between national security and economic competitiveness. Before export restrictions, NVIDIA held roughly 95% market share in China. The ban eliminated that position, but the strategic concern is that ceding the Chinese market allows domestic competitors to scale into giants whose capabilities eventually extend beyond China.

The "false choice" framing argues that national security, technology leadership, and economic prosperity can be pursued simultaneously — that the US has historically managed all three and should not sacrifice trade competitiveness for security when more targeted controls could achieve the same protection. The counterargument (implicit in the Dalio framework above) is that in a might-based order, economic entanglement with adversaries creates vulnerabilities that targeted controls cannot fully address.

Implications

The Big Cycle framework suggests that at this stage, conflicts intensify rather than subside. Countries are recalculating their security postures: those relying on US defense guarantees are watching how the US performs in current theaters to decide whether to seek nuclear weapons, build independent defense capacity, or realign toward the opposing bloc. These recalculations — not the wars themselves — may be the most consequential geopolitical dynamic of the next decade.

The reindustrialization push adds an economic dimension to these recalculations. If the US successfully rebuilds domestic manufacturing capacity for advanced technology, it reduces the leverage that supply chain chokepoints (particularly Taiwan) provide to adversaries and strengthens the economic foundation needed to sustain the military commitments described above. The scale of investment — half a trillion dollars from NVIDIA alone, plus CHIPS Act awards and state incentives — suggests this is not speculative but already underway.

For investors and decision-makers, the key takeaway is that "back to normal" is unlikely. The transition from a rules-based to a might-based order implies structurally higher geopolitical risk, defense spending, and potential for capital controls, financial repression, and market disruptions — patterns that have accompanied every prior cycle transition. See Knowledge Work Future for how these macro shifts intersect with technology-driven economic transformation. See also Dario Amodei for a frontier AI lab CEO's policy proposal responding to these geopolitical dynamics (democratic AI coalition, coordinated safety regulation).

Sources

  • The Big Thing: We Are In A World War That Isn't Going To End Anytime Soon — Ray Dalio — Core framework: Big Cycle escalation model, 13-step sequence, alliance mapping, overextension thesis, flashpoint probability estimates, rules-based to might-based transition
  • AP EXCLUSIVE: Nvidia CEO Jensen Huang says society needs 'new social norms' in age of AI — Associated Press / Jensen Huang — US reindustrialization strategy, five-layer AI stack, energy as binding constraint, Taiwan dual role, export control trade-offs, Coherent partnership and domestic manufacturing scale-up
  • America: The Next 250 Years — David Ulevitch / a16z — American Dynamism thesis, critical technology leadership shift (ASPI data), defense startup procurement acceleration (Anduril, Saronic), heartland manufacturing job creation, shift-left electro-industrial stack