2035 FORECAST FOR EVERY ASSET CLASS & MODEL PORTFOLIO STRATEGY | BUILT ON THE 6-ERA SHIFT (1990 → 2035)

Last updated on 10 Dec 2025

The cleanest 2035 forecast for every major asset class followed by a model portfolio built on the six-era shift

AGGRESSIVE MODEL PORTFOLIO (2035 VISION)

1. Compute and AI stack – 35 percent

The most asymmetric return opportunity of the decade.

2. Bitcoin + Digital Assets – 25 percent

Digital collateral + settlement rails + tokenised yield.

3. Robotics + Automation – 15 percent

Direct beneficiaries of labour replacement.

4. Energy + Nuclear – 10 percent

The bottleneck that powers all growth.

5. Space economy – 10 percent

Low liquidity now, but strong 2030+ upside.

6. Deep Tech + Longevity – 5 percent

Biotech, gene therapy, brain-computer interfaces.

1. 2035 FORECAST FOR EVERY ASSET CLASS

This is the macro picture of where global capital is flowing by 2035.

All numbers are directional, not advice.

A. REAL ESTATE

2025: ~$330T → 2035: ~$400T

Drivers
• Population clusters in stable, high-productivity regions
• Climate zones reshape housing value
• Tokenised real estate and fractional ownership expand access
• AI-driven build systems lower costs in some regions
• Insurance risk increases in climate-exposed zones

Winners
• High-ground, low-risk coastal
• Energy-efficient, grid-connected
• Productivity hubs near compute infrastructure
• Logistics and data-centric industrial parks

Losers
• Flood, fire, drought belts
• Overleveraged urban centers dependent on office space

B. BOND MARKETS

2025: ~$140T → 2035: ~$180T

Drivers
• Governments refinance at higher average rates
• Ageing populations increase social spending
• Tokenised treasuries bring global investors
• More issuance to shore up resilience and infrastructure

Winners
• US Treasuries
• Singapore, Norway, UAE (strong balance sheets)
• Tokenised government debt markets

Losers
• High-debt emerging economies
• Countries with weak fiscal credibility

C. PUBLIC EQUITIES

2025: ~$110T → 2035: ~$170T

Drivers
• AI productivity gains
• Compute, chips, robotics, space, and energy lead
• Platforms shift from ad-driven to agent-driven ecosystems

Winners
• AI chip supply chain
• Model providers with moats
• Robotics firms replacing human labor
• Energy companies that supply compute (nuclear, solar, gas)
• Space communication and satellite networks

Losers
• Legacy finance
• Fading consumer brands
• Companies without automation capacity

D. PRIVATE EQUITY + VENTURE

2025: ~$13T → 2035: ~$22T

Drivers
• AI-first ventures scale faster than historic SaaS
• Deep tech (quantum, biotech, robotics, space) requires long-horizon capital
• Tokenised venture capital opens global access

Winners
• Compute infrastructure
• Healthspan and longevity
• Robotics and automation
• Climate resilience
• Orbital and satellite layers

Losers
• Consumer apps without AI leverage
• Weak regional startups without global markets

E. CRYPTO + DIGITAL ASSETS

2025: ~$3.2T → 2035: ~$15–30T

Drivers
• Bitcoin as digital bearer asset and global collateral
• Stablecoins become primary settlement rails
• Tokenised treasuries and real estate reach scale
• On-chain identity and credit expand
• Institutional adoption flows steadily

Winners
• Bitcoin
• Ethereum or the modular settlement layer
• Tokenised real-world assets (RWAs)
• High-volume stablecoin issuers
• AI agents transacting autonomously

Losers
• Unregistered tokens without clear utility
• Meme assets with no rails or adoption

F. COMMODITIES

2025: ~$20T → 2035: ~$25–30T

Drivers
• Gold remains the global hedge
• Critical minerals needed for batteries, chips, robotics
• Energy demand increases from AI workloads

Winners
• Gold
• Copper, lithium, nickel, rare earths
• Uranium

Losers
• Fossil-dominated portfolios without transition planning

G. CASH & BANK DEPOSITS

2025: ~$55T → 2035: ~$60T

Drivers
• Inflation erodes value
• Real-time digital money reduces large balances
• Cash becomes a smaller percent of global wealth

Winners
• Jurisdictions with strong banks

Losers
• Savers holding large fiat balances

H. SOVEREIGN WEALTH FUNDS

2025: ~$13T → 2035: ~$20T

Drivers
• Oil nation surpluses
• Long-horizon investment into AI infrastructure
• Resilience allocations into real estate, food, water, energy

Winners
• Norway, UAE, Singapore, Saudi
• Funds buying AI infrastructure early

I. PENSION FUNDS

2025: ~$52T → 2035: ~$60T

Drivers
• Ageing populations
• Conservative allocations
• Slowest growth of all asset classes

Winners
• Funds adopting tokenised bonds and global diversification

Losers
• Funds overexposed to lagging equities or commercial real estate

J. HEDGE FUNDS

2025: ~$4.5T → 2035: ~$7T

Drivers
• AI-driven macro and quant systems
• Volatility from geopolitical fragmentation
• More short-long opportunities in automation transitions

K. DERIVATIVES (NOTIONAL)

2025: ~$19Q → 2035: ~$25Q
Real exposure stays around $15–25T.

Drivers
• AI risk models
• Hedging for energy, rates, and compute markets

2. MODEL PORTFOLIO STRATEGY

BUILT ON THE 6-ERA SHIFT (1990 → 2035)

This is the portfolio design that matches the mega-trend arc.

I’m giving you two versions:

• Balanced (resilient + growth)
• Asymmetric (aggressive growth exposure)

BALANCED MODEL PORTFOLIO (2035 VISION)

1. Compute + AI Infrastructure – 25 percent

• Nvidia, AMD, Broadcom
• ASML, TSMC, Tokyo Electron
• Hyperscalers: Microsoft, Google, Amazon
• Data centers, cloud providers, liquid cooling

Rationale
This is the new oil.
Everything needs compute.

2. Robotics + Automation – 15 percent

• Warehouse automation
• Surgical robotics
• Industrial robotics
• Autonomous vehicles and logistics

Rationale
Labour shortages and ageing populations drive massive adoption.

3. Space + Satellite + Orbital – 10 percent

• SpaceX Starlink (IPO if available)
• Satellite networks
• Launch and observation infrastructure

Rationale
Space becomes the new communication and data layer.

4. Energy + Grid + Nuclear – 15 percent

• Uranium, nuclear SMRs
• Solar + storage
• Grid infrastructure
• Regionally advantaged energy producers

Rationale
AI workloads require 10–20x more energy.

5. Crypto + Tokenised Assets – 15 percent

• Bitcoin (50 percent of crypto allocation)
• Ethereum + settlement layers
• Stablecoin yield
• Tokenised treasuries + RWAs

Rationale
Digital money becomes global settlement.

6. Productive Real Estate – 10 percent

• Logistics
• Data center facilities
• Climate-resilient housing
• Agricultural land

Rationale
Real assets that produce, not just appreciate.

7. Broad Global Equities – 10 percent

• S&P 500
• MSCI World
• Asia exposure (Singapore, Korea, India)

Rationale
Diversified backbone.