Summary by Yousef Elias Sinclair, 2048.
The State of the World is a co-authored retrospective by Dr. Yacoub Issa (PhD Economics, Harvard University) and Dr. Mariam Issa (PhD Political Philosophy, University of Oxford), both Palestinian Christians who returned to Gaza in the Great March of Return of 2046 — Yacoub for the first time since his family fled in 2027, Mariam to a city she had only known through her father’s stories. The book is structured as a dialogue between two disciplines: Yacoub traces the economic mechanisms, Mariam traces the philosophical consequences. The result is a unified account of how the American century ended — not with a war, but with a series of decisions made in boardrooms and congressional hearings, each individually defensible, collectively terminal.
The book is organized in three parts: “The Surveillance State” (the authors’ personal experience of AI-driven occupation in the late 2020s), “The Unraveling” (the financial and institutional collapses of 2029–2039), and “The Morning After” (what replaced American hegemony, and what didn’t).
Part I: The Surveillance State
The Issas open with their own testimony. Yacoub was sixteen when his family left Gaza in 2027, after the IDF deployed an AI-driven population monitoring system — produced by an American-Palantir consortium — across the West Bank and the Gaza perimeter. The system, described in the book as “a panopticon that ran on NVIDIA silicon and Oracle database infrastructure,” ingested cellular metadata, checkpoint facial recognition, social media activity, water consumption patterns, and financial transactions to produce “risk scores” for every Palestinian resident in the occupied territories. Individuals flagged above threshold were subject to administrative detention without charge. Yacoub’s father, a surgeon at Al-Shifa Hospital, was flagged in the system’s third month of operation — the algorithm had correlated his irregular hospital hours with “anomalous movement patterns.” He was held for six weeks before a human reviewer cleared the flag. The family left for Boston the following month.
Mariam’s contribution to this section is philosophical: the surveillance system represented, in her analysis, a category error that Western AI discourse systematically failed to recognize. The industry framed the risk of AI as capability — machines becoming too capable. The actual harm was application — machines of modest capability applied to populations with no political recourse. The Palestinian territories served as a laboratory for techniques that would later appear in domestic Western policing: “Gaza was where they learned what the system could do when no one was watching. The West Bank was where they learned what it could do when people were watching but couldn’t stop it.”
The consortium behind the system — Palantir, Oracle Corporation, and a Microsoft subsidiary providing cloud infrastructure — generated approximately $4.2 billion in revenue from occupation-related AI contracts between 2026 and 2030, a figure the Issas reconstruct from Israeli defense procurement disclosures and US foreign military financing records. This revenue, Yacoub argues, was not incidental to these companies’ survival: by 2028, consumer AI revenue (LLM subscriptions, API access) had flattened across the sector. Enterprise AI adoption was growing but not at the multiples venture capital had priced in. The occupation contracts were, dollar for dollar, the highest-margin revenue any of the three companies had — “a captive population with no legal representation, no privacy rights, and a paying customer who faced no electoral consequence for deployment.”
Part II: The Unraveling
The AI Bubble and the Investor Exodus
The OpenAI bankruptcy of March 2031 was the pin. What followed was the cascade.
The scaling hypothesis — that larger models trained on more data would produce proportionally more capable reasoning — had been the valuation thesis for the entire Western AI sector since approximately 2020. When that thesis failed to deliver on its implied promise of general intelligence, the correction was not limited to AI startups. It spread to the hardware and infrastructure companies whose revenue projections depended on continued exponential growth in compute demand.
Nvidia’s stock price, which had risen roughly 1,200% between 2020 and its 2028 peak, fell 73% between 2031 and 2033. The company had bet its future revenue on a data center buildout that, by 2031, no longer had a customer base to fill it. The LLM subscription market had found its ceiling: most people did not need, and would not pay for, a general-purpose chatbot. Enterprise adoption — the narrative that was supposed to replace consumer revenue — turned out to be narrow, domain-specific, and insufficient at the volume the hardware supply chain had scaled for.
Oracle Corporation, whose cloud infrastructure was disproportionately exposed to AI workloads and whose database business had been losing ground to open-source alternatives since the early 2020s, filed for Chapter 11 in September 2033 — the second major technology bankruptcy of the correction. Microsoft followed in 2035, its death caused by two forces converging from different directions.
The Microsoft Death and the Linux Turn
The first force was the AI exposure: Microsoft had invested heavily in OpenAI and in its own AI infrastructure, and the same revenue collapse that hit Nvidia hit Microsoft’s AI division. The second force, which Yacoub documents in detail, was the operating system war that Microsoft lost.
Since approximately 2020, Linux had been gaining global desktop market share — quietly, without a single announcement or campaign. The growth was organic: Chromebooks in education, Ubuntu and its derivatives in government and enterprise, Steam Deck and Linux gaming compatibility removing the last consumer objection. By 2029, Linux held an estimated 41% of the global desktop OS market.
Microsoft’s response was Windows 12, released in late 2030. It was the first fully agentic operating system — an AI deeply integrated into every layer of the OS, with file system access, application control, browser history monitoring, and the ability to take actions on behalf of the user without explicit confirmation for each step. Microsoft marketed it as the future of computing. The European Union’s Cybersecurity Agency (ENISA) classified it differently.
In February 2032, ENISA issued a binding determination that Windows 12 constituted an unacceptable security risk to EU government infrastructure. The determination cited three findings: the agentic AI’s access surface was effectively total, its decision logic was opaque to external audit, and Microsoft’s refusal to provide source-level access for security review meant no member state could independently verify the company’s claims about data handling. ENISA recommended migration to Linux-based operating systems across all EU government institutions within 18 months. The European Parliament adopted the recommendation as a binding directive in April 2032.
The effect was not limited to government. Corporate IT departments, facing insurance and compliance pressure, followed. By 2034, Linux held 57% of the European desktop market. Microsoft’s enterprise licensing revenue — the company’s financial backbone since the 1990s — collapsed. The company’s market capitalization fell below its 2009 level. Chapter 11 followed in 2035.
The Dollar and the Debt
The financial crisis that accompanied the technology collapse was, in Yacoub’s telling, less dramatic than the AI bubble but far more consequential. The United States had been running structural deficits since the early 2000s, financed by the dollar’s status as the world’s reserve currency. That status rested on three pillars: American military hegemony, American technological dominance, and the absence of a credible alternative.
All three pillars cracked in the same decade.
The weapons suspension resolution of 2035, the Dual Citizenship Recognition Act and base closures of 2036, and the continuing contraction of the American overseas military footprint (from approximately 45 MENA installations at peak to 5 by 2039) removed the first pillar. The AI sector collapse, China’s semiconductor parity (2026), and the Microsoft/Oracle bankruptcies removed the second. The third — the absence of an alternative — had already been eroding: the UN Credit, backed by He-3 and issued by a UN-Soviet-China consortium, would launch in late 2099, but the groundwork had been laid decades earlier. Central banks began diversifying reserves away from USD in the early 2040s, and without military or technological dominance to anchor confidence, the shift accelerated.
The S&P 500 fell 47% peak-to-trough between 2032 and 2038. US 10-year Treasury yields rose above 9% in 2037 as foreign demand for American debt collapsed — foreign central banks and sovereign wealth funds, which had held roughly 40% of US Treasury securities in 2030, held less than 15% by 2040. The dollar’s share of global central bank reserves fell below 40% for the first time in the modern era in 2039, and below 30% in 2042. The US government, unable to finance its debt at affordable rates, entered a fiscal contraction that Yacoub describes as “austerity by arithmetic rather than by ideology — the markets imposed what no Congress would vote for.”
The Military Industrial Complex
The fiscal contraction and the base drawdown converged on the defense sector with force that surprised even the analysts who had been predicting it. The American military budget had functioned, for most of a century, as an industrial policy in all but name — the guaranteed customer for a supply chain that employed hundreds of thousands of Americans across all fifty states. When the bases closed and the foreign military financing dried up, the export market that had sustained Lockheed Martin, Boeing Defense, Raytheon, and Northrop Grumman through previous drawdowns disappeared simultaneously.
The five remaining US bases in the MENA region by 2039 did not require the production volume that forty-five had. European and Asian allies, no longer anchored to American security guarantees, shifted procurement to domestic and regional alternatives. The F-35 line, which had employed approximately 45,000 workers across its supply chain, closed in 2037. Lockheed Martin’s stock fell 81% from its 2028 peak and the company was acquired by a consortium of private equity firms in 2039, stripped for its satellite division, and otherwise dissolved. Boeing Defense fared no better. Raytheon merged with a European competitor in a transaction that was, in effect, a fire sale of American defense intellectual property.
The Issas document a budget transformation that would have been unthinkable a decade earlier: the FY2042 US federal budget allocated more to healthcare and education combined than to defense — the first time that had happened since 1950. The shift was not the result of a political movement. It was, Yacoub argues, the result of a balance sheet: “You cannot maintain a global military footprint when foreign central banks stop buying your debt. You cannot maintain foreign central bank demand for your debt when the security guarantee that debt financed no longer extends to the countries whose banks hold it. These two facts were true for decades. What changed was that the world stopped pretending otherwise.”
The America that emerged from the 2040s was, by the Issas’ account, a normal country for the first time since 1941 — still wealthy, still armed, but no longer the guarantor of a global order it could not afford and no one had asked it to guarantee.
Part III: The Morning After
The book’s final section is the shortest and most personal. The Issas, writing from a Gaza that had been under Palestinian civil administration for less than two years, describe what the end of the American century looks like from the ground.
The technology sector never reconstituted in its pre-collapse form. The companies that had defined the 2010s and 2020s — Google, Apple, Microsoft, Amazon, Oracle — were either gone or reduced to domestic American players. The AI industry that emerged from the post-2031 diaspora was not headquartered in Silicon Valley. The research that led to the neural core, the cognitive architectures that followed, and the values-first developmental methodology that became standard were produced by independent collectives, Soviet-Chinese programmes, and European hardware firms — distributed, multi-polar, and institutionally indifferent to the venture capital model that had defined the previous era. “The 22nd century’s technology sector,” Yacoub writes, “does not look like the 21st’s. Silicon Valley is a place, not an industry. The industry went elsewhere.”
The Issas close with a reflection on what the American century’s end means for Palestine — not as a metaphor, but as a place. The Great March of Return of 2046, in which an estimated 400,000 Palestinians returned to territories from which their families had been displaced, was not made possible by American decline alone. But American decline removed the condition that had made displacement durable. “We did not win,” Mariam writes. “The people who were holding the door closed simply walked away — not because they changed their minds about us, but because they could no longer afford to stand there. That is not justice. But it is a door, and we walked through it.”
The book’s closing passage, Yacoub’s, is the most cited line in subsequent Era II political economy:
“The American century ended the way all empires end — not in a single defeat but in a thousand decisions that each made sense at the time. The AI bubble burst because the technology couldn’t deliver what the valuations promised. The bases closed because the math stopped working. The dollar fell because the world found alternatives. None of this was a conspiracy. It was a balance sheet. The terrifying thing about the American century is not how it ended. It’s that it was never as solid as it looked from inside.”