Worldline / 2026–2030 Economic Simulation
Unscripted 9-Group Economic Simulation · 2026 to 2030

Cheap Intelligence Meets a Sticky Physical World

Most AI forecasts assume a one-speed future: either a smooth productivity boom or an overnight wipeout of office jobs and prices. To test what happens when real balance sheets, voters, and physical bottlenecks push back, we placed nine competing groups in late 2026—employers, cloud giants, Wall Street & insurers, electric utilities, startups, universities, workers, the Federal Reserve, and governments—and let each act in its own self-interest every 6 months, moulding the environment step by step through late 2030.

The Organising Principle — A Two-Speed Economy

Making digital software cheap (–12.4%) does not make housing, hospital care, power grids, or 30-year-old corporate databases cheap (+2.75%): Wall Street punctures the AI spending spree as messy corporate IT slows automation (2026–27) → queued power plants switch on into a commercial glut while sticky living costs oust incumbents in November 2028 → Pentagon clouds & biotech startups scoop up foreclosed servers (+5.2 GW glut) as AI fraud forces human checks (2029) → defense and biotech lock up the grid again while physical trades out-earn desk work and hold the Fed at 3.85% (2030).

Meet the 9 competing groups acting every 6 months ▾

1. The Chain Reaction in Four Acts (2026 → 2030)

2-minute overview of how each period created the next environment
Act 1 · 2026–2027

Software Deflates & Wall Street Hits Tech Stocks

Big employers use AI to force 6.5% software price cuts and trim graduate hiring, yet 30-year-old databases leave 76% of corporate workflows unready for bots. Seeing revenue lag $250B+/yr server spending, banks slap 30% haircuts on AI loans and tech stocks drop 20%—while sticky housing and healthcare (+2.9%) keep the Fed frozen at 3.85%.

Bottleneck: Grid Power & Messy Legacy IT
Act 2 · 2028

Power Flips to Glut & Voters Oust Incumbents

Solar and gas plants ordered in 2026 switch on right after bruised tech giants freeze chip orders—flipping a 2.3 GW power shortage into a +2.8 GW surplus and server foreclosures (tech stocks down 24.5%). Even with home electric bills frozen and software down 10.5%, stubborn housing and hospital bills (+2.55%) push November 2028 voters to oust incumbents.

Bottleneck: Sticky Rent & Hospital Bills
Act 3 · 2029

Defense & Biotech Buy the Glut; Fraud Forces Audits

New transmission lines push spare power to a +5.2 GW peak glut—and Pentagon clouds, campus labs, and cash-flowing biotech startups buy auctioned servers cheaply (new AI industries double toward 3.4% of GDP). Meanwhile, floods of AI fraud force insurer-certified human sign-offs, moving from $45K US hubs to India and Latin America after US hubs unionize.

Bottleneck: Synthetic Fraud & Legacy Data
Act 4 · 2030

Defense Locks Up the Grid; Physical Trades Win

Because commercial builds froze during the glut, defense and biotech fill 36.8 of 36.9 GW by late 2030. Startups undercut cloud giants by 50% on fraud tools, letting audited overseas hubs (15.6% share) beat new offshore taxes and keeping US grad desk hiring down 28%—while nurse and electrician raises hold physical inflation at +2.75% and GDP grows 2.35%.

Bottleneck: Grid Power, Nurses & Trades
Electricity: Shortage → +5.2 GW Glut → Locked-Up Grid

1 GW ≈ 1 nuclear plant. 2026 power plants hit a 2028–29 capex freeze (+5.2 GW glut), which Pentagon clouds and biotech absorbed by late 2030.

Clean AI vs. Messy Corporate IT & Graduate Hiring

AI hit 88.5% on structured tasks, but 30-year-old corporate IT reached only 35.2% readiness—freezing junior desks while human verification moved abroad.

Measure Late 2026 Early 2029 Late 2030 Plain-English Reason
AI Electricity Balance –1.4 GW (short) +5.2 GW (glut) +0.1 GW (locked up) 2028 capex freeze met 2026 plants; Pentagon & biotech ate the glut
Two-Speed Prices (Physical / Digital) +3.0% / +0.4% +2.95% / –9.2% +2.75% / –12.4% Software plunged, while housing, hospitals & trades kept Fed at 3.85%
Tech Stock & VC Index (2026 = 100) 100.0 76.0 83.0 Fell 24.5% on server haircuts & software cuts; steadied on defense/biotech
Clean AI vs. Messy Corporate IT 68% vs. 18% 82.5% vs. 30.5% 88.5% vs. 35.2% Legacy 30-year databases & AI fraud forced certified human audits
Brand-New AI Industries (% of GDP) 1.2% 3.0% 4.2% (3.5×) Cheap auctioned servers fueled drug discovery, lab robotics & SMB tools
US Entry-Level Desk Hiring 100% 76.5% 72.5% (–27.5%) Junior clerical/coding froze as audited overseas hubs hit 15.6% share
Workers' Share of Total US Income 56.5% 55.2% 54.6% Office cuts were partly offset by strong raises for nurses & trades
Where Reality Could Split From This Path (Two Structural Forks)

1. Without Pentagon & biotech buyers in 2028–29: Sovereign defense contracts and cash-flowing drug labs cushioned bank server foreclosures here; without them, datacenter defaults could trigger a wider regional-bank credit crunch and force steep Fed rate cuts.
2. If AI cracks messy legacy databases without human fraud checks: 30-year-old corporate IT (35.2% ready) and synthetic fraud kept human compliance hubs in the loop; a breakthrough in self-verifying enterprise data cleanup would cut domestic office payrolls far deeper.

2. Jump to Any 6-Month Period (Q4 2026 → H2 2030)

Click any card to inspect how that period moulded the next environment

3. Step-by-Step Simulation Log

Open any chapter's drawer to see what all 9 groups publicly claimed vs. secretly did