Visual Intelligence by FactsFigs.com
Data Source: Cerulli Associates
In 2026, the largest movement of capital in human history has hit warp speed. The $84 Trillion Great Wealth Transfer is underway. But as Boomers pass the baton, the heirs aren't keeping Dad's portfolio.
They are liquidating 'safe' assets and flooding into high-risk digital markets, fundamentally rewiring the global economy from centralized banks to decentralized networks.
The estimated total value of assets set to pass from older to younger generations over the next two decades.
Boomers hold the majority of global wealth, locked primarily in traditional, illiquid assets: residential real estate, bonds, and blue-chip stocks. Their strategy was preservation via centralized institutions. This capital is heavy, slow-moving, and deeply entrenched in the 'Old Economy.'
Gen Z views traditional finance as slow and rigged. Upon inheriting, they pivot aggressively. The new allocation model favors Crypto (asymmetrical upside), Venture Capital (tech growth), and DeFi (yield without middlemen). Money is moving from managed funds to self-custody wallets.
The transfer is an existential crisis for Wall Street. Over 80% of heirs fire their parents' financial advisor upon receiving their inheritance. The traditional 'suit-and-tie' relationship doesn't translate to a generation that trusts community due diligence over fee-based management.
The Wealth Flip isn't just a transfer; it's a transmutation.
Old money is becoming new tech, shifting power from centralized banks to decentralized networks.
Cerulli AssociatesBank of AmericaCoinbase Institutional
This analysis aggregates data from Cerulli Associates' High-Net-Worth markets report, Bank of America's study on wealthy Americans, and Coinbase Institutional's 2026 wealth trends analysis.
Disclaimer: All calculated indices are based on internal FactsFigs methodologies and aggregated analysis. This content does not claim to represent an official global standard and is intended for educational purposes only.
Visual generated via FactsFigs AI Engine (v1.0).
2026-02-02