a16zCrypto Experts Explain Stablecoins & the Future Financial System w/ Ali Yahya & Arianna Simpson
CHAPTERS
Why crypto use cases are finally “working” in 2025
Erik frames the conversation around long-standing skepticism: what in crypto is real and useful today. Ali and Arianna set the 2025 context—matured infrastructure plus improving regulatory clarity—creating conditions for mainstream utility beyond speculation.
- •May 2025 as an inflection point for practical crypto adoption
- •Skepticism vs. realized use cases: what has actually shipped
- •Infrastructure maturity and regulatory environment as key catalysts
- •Stablecoins positioned as the clearest “working now” application
From Bitcoin’s peer-to-peer cash vision to stablecoins
Ali revisits Bitcoin’s original promise as a payment system and explains why it evolved into a store-of-value instead. Stablecoins pick up the original payments thread because they’re stable units of account and can run on faster, cheaper rails.
- •Bitcoin’s whitepaper intent: peer-to-peer electronic cash
- •Why Bitcoin struggled for payments: speed, cost, volatility
- •Stablecoins as the practical realization of digital cash rails
- •Modern chains enabling sub-second, sub-penny transactions
Stablecoins as new money rails: scale, speed, and disruption
The conversation zooms in on why stablecoins are a step-change for the financial system. Ali contrasts today’s multi-intermediary card and cross-border stacks with near-instant, low-cost transfers on crypto rails, citing massive stablecoin volume as evidence of traction.
- •~$16T annual stablecoin volume cited as adoption signal
- •Domestic card payments: many intermediaries taking fees
- •Cross-border transfers: 3–7 days and up to ~10% costs described
- •Stablecoins as disruptive backend replacement for legacy rails
Who uses stablecoins today: consumers in fragile economies to global institutions
Arianna outlines a spectrum of current stablecoin users, from consumers in countries with unstable currencies to banks and fintechs adopting them as a low-risk entry point into crypto. She emphasizes stablecoins’ clear, non-speculative value proposition.
- •On-ramps in emerging markets (example: Pakistan kiosk network)
- •Stablecoins as digital dollars for inflation/instability hedging
- •Banks/financial institutions adopting stablecoins as a “baby step”
- •Stablecoins framed as a non-speculative, practical product
The stablecoin ecosystem stack: issuers, chains, and user gateways
Ali maps the landscape: issuers (USDC/Circle/Coinbase, Tether), the blockchains they run on, and the connecting layer (wallets, fintech front-ends). He argues forthcoming legislation could commoditize issuance and shift value capture to infrastructure and distribution.
- •Core players: USDC and Tether; role of stablecoin issuers
- •Execution layer: L1s where transactions settle (Ethereum, Solana, Sui, etc.)
- •Bridging layer: wallets and fintech UX abstracting crypto complexity
- •Regulation could commoditize issuance; value accrues to rails and interfaces (gas, wallets like Phantom)
The “iPhone moment” debate: stablecoins, AI, and adoption waves
Erik asks whether stablecoins are crypto’s mass-adoption breakthrough. Arianna argues stablecoins are a strong candidate but adoption can come in multiple waves (games, AI, payments), with stablecoins uniquely legible to broad audiences due to obvious utility.
- •Stablecoins as a leading contender for mass adoption
- •No single “one thing” required—multiple waves bring users
- •Past wave: Web3 games; current wave: AI + stablecoins
- •Stablecoins’ broad appeal: clear value proposition and real pain points
Incumbents vs startups: why big tech struggles to adopt crypto
The discussion contrasts AI as often “sustaining” innovation with crypto as structurally disruptive for incumbents. Ali and Arianna share first-hand experiences (Google X, Facebook) showing reputational, regulatory, and business-model conflicts that prevent deep crypto adoption.
- •Crypto’s disruption makes incumbents reluctant to embrace it
- •Optics/reputational and regulatory concerns inside big tech
- •Decentralization threatens centralized platform business models
- •Parallel with AI becoming disruptive (e.g., LLMs cannibalizing search)
Decentralized social networks: product quality vs graph lock-in
Erik probes why decentralized social hasn’t broken out. Arianna argues the main constraint is consumer behavior and network effects (the social graph), not purely technology—switching costs are high and users tolerate ad-supported models.
- •Farcaster cited as strong UX, but switching is hard
- •Social graph lock-in and critical mass challenges
- •Consumers accustomed to “free” products funded by ads
- •Broader trend: few new dominant social networks in the last decade
Financial use cases first, consumer crypto later: a regulatory inversion
Ali explains a strategic inversion: previously, “innocuous” consumer apps seemed more viable because financial crypto was effectively constrained; now friendlier regulation and institutional participation make financial use cases (stablecoins, then DeFi) likely to lead and legitimize everything else.
- •Earlier expectation: social/gaming first due to financial illegality
- •Now: financial rails adoption leads due to regulatory shift
- •Institutional adoption as legitimizing force for the broader ecosystem
- •UX and usability still a gating factor for consumer-scale crypto apps
Web2-grade consumer experiences powered by Web3 ownership: the Blackbird example
Arianna describes how new networks can succeed when they target spaces without entrenched incumbents and deliver familiar consumer UX while using crypto under the hood. Blackbird illustrates using stablecoin payments and network ownership to improve restaurant economics versus extractive platforms.
- •Opportunity in categories without a single dominant network owner
- •Blackbird as “restaurant loyalty/points” with Web2 UX + Web3 rails
- •Stablecoin payments to reduce transaction costs
- •Tokenized/network ownership aligning incentives for restaurants and users
AI × crypto: authenticity, decentralizing power, and new internet business models
Ali lays out three major intersections: crypto for authenticity/proof-of-humanity in an AI deepfake world; crypto networks to decentralize compute and verify ML workloads; and crypto-enabled micropayments/attribution systems to replace collapsing ad-driven web economics in an LLM-first world.
- •Proof-of-humanity and media authentication as AI deepfakes proliferate
- •Worldcoin/orb + zero-knowledge proofs described as a privacy-preserving approach
- •Decentralized compute marketplaces (e.g., Gensyn) using idle GPUs
- •Verifiable ML execution and potential to reduce trust in centralized recommenders
- •Attribution + payments as a possible new business model when AI replaces search traffic
What big AI labs think about crypto (mostly: they don’t)
Erik asks whether major AI labs will participate in crypto-enabled architectures. Ali suggests most big labs are focused on AI alone; crossover is driven primarily by startups whose founders straddle both AI depth and decentralized-network ideology.
- •Big AI labs largely not prioritizing crypto integration
- •Innovation driven by startups building decentralized AI infrastructure
- •Founders with deep AI backgrounds plus decentralization commitments stand out
- •Crypto relevance emerges through specific needs: identity, compute, payments, verification
Misconceptions about crypto: tokens, regulation, and what blockchains really are
Arianna argues the biggest misconception is that the hostile U.S. environment is still the same—she believes token networks are increasingly viable again. Ali adds that many still think crypto is only “money,” missing the broader concept of blockchains as autonomous, interference-resistant computers enabling entirely new primitives.
- •Regulatory climate shift: clearer path for building token networks in the U.S.
- •Tokens as essential to network design; removing them undermines the point
- •Ethereum vs Bitcoin misunderstanding: blockchain as a general-purpose computer
- •Smart contracts as autonomous programs that can’t be arbitrarily altered or shut down
- •This “software over hardware” inversion enables DeFi and other primitives beyond payments
Smart contract platform competition: specialization across trade-offs
Ali provides an update on the L1 landscape: Bitcoin as hard-to-change digital gold; Ethereum optimizing decentralization for high-stakes assets and DeFi; and high-performance chains like Solana/Sui for throughput-heavy applications. He expects multiple winners based on use-case niches, though outcomes remain uncertain.
- •Bitcoin’s simplicity and ossification as strengths for store-of-value
- •Ethereum’s decentralization and longevity as advantages for DeFi/asset issuance
- •High-performance chains positioned for payment and exchange-like workloads
- •Trade-off space implies ecosystem specialization rather than one chain winning all
- •Competition remains open; narratives like “Solana eats Ethereum” are possible but not settled
Policy regime change and the reopened opportunity space (Libra/Novi lessons)
Arianna revisits Meta’s Libra/Novi as a case study of what might have been possible with a friendlier policy environment, noting how regulation halted it despite massive distribution potential. She closes by emphasizing that the next few years may unlock new entrepreneurial designs now that constraints are easing.
- •Libra/Novi as a distribution-driven payments superweapon that was blocked
- •Regulatory pressure can kill even well-resourced incumbent projects
- •Talent diaspora from Libra contributing to new ecosystems (e.g., Sui)
- •Investor lens: recognize what’s now possible under the new regime
- •Expectation of increased experimentation and network launches ahead
