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Rob Cunningham | KUWL.show
@KuwlShow
From its’ 2007 IPO to 2017, Amazon had to help create its market environment while scaling inside it. Early Amazon operated through dial-up connections, primitive browsers, limited broadband, immature online payments, low consumer trust, weak digital identity, expensive computing, and a largely offline global economy
Ripple enters a potential 2027 IPO era with cloud infrastructure, smartphones, instantaneous global communications, mature APIs, cryptographic networks, stablecoins, institutional digital-asset custody, AI-driven treasury systems and emerging 24/7 tokenized markets already in existence. Ripple itself is now assembling payments, custody, RLUSD, prime brokerage, treasury management and real-time settlement into one institutional stack, while Ripple Treasury alone reports connections to 13,000 banks and $12.5T in payments volume
This is a different growth physics.
Amazon’s principal flywheel was roughly users → merchants → selection → lower costs → more users, amplified later by Prime, AWS and advertising
Ripple could theoretically operate several mutually reinforcing flywheels simultaneously: institutions → liquidity → payments → stablecoins → collateral → custody → tokenized assets → treasury → prime brokerage → still greater institutional liquidity. And unlike physical commerce, much of this activity can occur continuously, globally and programmatically.
The World Economic Forum describes tokenized capital markets as enabling 24/7 asset movement, instant settlement and improved collateral mobility, and notes a potential $230T pool of securities versus only about $25T presently eligible for collateral use.
Agentic AI potentially adds another accelerator. Machines do not sleep, take weekends, wait for markets to open or necessarily batch financial operations the way humans historically have. An autonomous treasury agent could continuously rebalance cash, collateral, FX exposure, repo positions, payments and liquidity. Ripple Treasury is already explicitly marketing AI alongside 24/7 liquidity and near-instant cross-border payments.
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The important economic effect isn’t that “AI makes Ripple valuable.” It is that software agents can increase the frequency with which financial infrastructure gets used.
That leads to the deepest difference between Amazon’s era and the hypothetical Ripple era: velocity.
A physical @Amazon order has logistical limits. A dollar, stablecoin, collateral token or other digital asset can potentially be transferred, exchanged, pledged, settled, released and redeployed repeatedly. Tokenization therefore changes not merely the number of assets that can participate but potentially the number of economically useful cycles per asset per unit of time.
@McKinsey’s more conservative institutional forecast still sees approximately $2T of tokenized assets by 2030, with an optimistic scenario around $4T, excluding stablecoins and cryptocurrencies – evidence that the institutional transition is real even without assuming fantastical adoption. @The_DTCC? A hypothetical 2027 Ripple IPO would not resemble Amazon’s 1997 IPO in corporate maturity. Ripple would be arriving after roughly 15 years of development, regulatory battles, institutional integrations, acquisitions and infrastructure construction. Its 2025–26 expansion alone moved it deeper into treasury, custody, prime brokerage, stablecoin payments and tokenized capital-market infrastructure.
So Ripple could enter public markets much further along its infrastructure S-curve
Suppose between 2027 and 2037 we see meaningful convergence of:
quantum-assisted computation + agentic AI + tokenization + global stablecoins + programmable collateral + 24/7 markets + instant settlement + autonomous liquidity management + machine commerce
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One 2005 pre-IPO AMZN share at $0.17 ultimately grew to 240 split-adjusted shares at $727 in 2017 & its’ value was approximately:
$727.20 ÷ $0.1717 ≈ 4,235× ROI
Guess for a @Ripple share in 2037?
Source(s):
• https://x.com/KuwlShow/status/2093906539899670929
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