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The Privacy Paradigm Shift

Privacy has always been a foundational concept in technology, finance, and especially in the crypto ecosystem, serving as both an ideological core and a practical necessity.

Back in the late 1980s and formalized in the early 1990s, the cypherpunk movement emerged. It united cryptographers, programmers, and activists; key figures included Jude Milhon (a founding member and coiner of the term “cypherpunk”), Len Sassaman, Philip Zimmermann (creator of PGP), and Hal Finney (cryptographer and lead author of PGP 2.0), who championed strong cryptography to defend individual privacy against state and corporate surveillance.

At its essence, cypherpunks believed “Privacy is necessary for an open society in the electronic age” (Hughes). Their work drove the creation of tools like PGP, anonymous remailers, and protocols for untraceable communication rooted in values of autonomy, decentralization, and resistance to censorship. Then Bitcoin was born followed by the construction of new building blocks for a more open, decentralized, pseudonymous digital and financial system with value transfer protected by cryptography.

In this world, privacy is not a feature, but the bedrock of the new system.

The Privacy Paradox

“I’ve got nothing to hide”

The Privacy Paradox has long kept privacy in the digital realm as a niche concern, often dismissed as relevant only to highly technical users, cryptographers, developers, or those with strong ideological convictions. For the mass market, the default response remains the classic “I’ve got nothing to hide” attitude: if you're not engaging in illegal activities online, why object to being tracked or profiled by anyone like governments, corporations, or strangers?

Yet humans have cared deeply about privacy for millennia in the physical world. Individualized, private homes emerges in ancient civilizations like Mesopotamia and Egypt around 3500–3000 BCE. In these societies, mudbrick houses featured doors shield interiors from dust, heat, prying eyes, or intruders. These protected personal belongings and family life, not because inhabitants were hiding wrongdoing but because controlling visibility and access was a fundamental aspect of dignity and ownership. Locking your door or drawing curtains doesn't imply you're cooking drugs in the kitchen; it simply means you value the right to decide who sees what, and when to open up.

In the physical world, privacy is instinctive, we intuitively understand that privacy enables autonomy without suspicion. Yet the digital sphere remains at their Neolithic stage, while everyone needs the same essential safeguards in our digital and financial lives.

Privacy in Finance

The same logic should apply to our financial interactions in the internet economy. We need privacy tools in this space if we want the equivalent of curtains on our windows. It protect transaction details, balances, and behaviors from constant exposure without implying illicit intent. The problem is well highlighted in this tweet.

Consider everyday examples: a merchant accepting payments via a crypto debit card often sees only tokenized or pseudonymous details, but the underlying onchain flows remain fully transparent unless shielded. You probably don’t want to broadcast every purchase you make: from groceries at the local supermarket to specific medications at the pharmacy. You may want to keep that information private and avoid slipping into a 1984-style Big Brother scenario.

This disconnect is striking: we’ve built doors and curtains into homes since ancient times because privacy is a baseline human need, not a sign of wrongdoing. In the digital and onchain world, where financial lives are increasingly real and powerful, we’ve yet to demand the same protections.

What was once considered as a feature for the paranoid is evolving into a fundamental need for everyone, especially as onchain economies mature and institutional capital flows in.

State of Privacy

Where does privacy stand today? In the broader tech landscape, GAFAM have built trillion-dollar empires largely on monetizing user data, primarily through targeted advertising. This creates a perverse macro incentive: educating users about digital privacy directly erodes their revenue streams, leading to deliberate under-emphasis on awareness and tools that empower individuals. For instance, Google's advertising revenue alone has ballooned from $0.3 billion in 2001 to $264.59 billion in 2024, with projections reaching $402.8 billion by 2025 for Alphabet overall, where ads constitute over 80% of income.

Advertising revenue of Google from 2001 to 2024(in billion U.S. dollars)

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Source: https://www.statista.com/statistics/266249/advertising-revenue-of-google/?srsltid=AfmBOoo88SRSIinQqx_ZzqKkkddsbb4tPKPgfquYrgljTKaXwzO82cYn

Similarly, Meta derives nearly 98% of its revenue from ads, underscoring how data-driven models have exploded since the early 2000s. This evolution, visualized in charts tracking Big Tech ad revenues, shows a compounded annual growth rate exceeding 20% for key players like Google and Meta, turning user data into a $500+ billion industry by 2026.

Meta total revenue streams in 2021

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Source: https://www.visualcapitalist.com/how-big-tech-makes-their-billions-2022/

Efforts to address privacy have evolved from infrastructure-heavy approaches to more targeted, use-case-oriented products. In crypto, early attempts focused on foundational layers, like ZK rollups, which promised privacy-preserving scaling but proved complex and slow to deploy. Faster, less decentralized networks captured market share instead, with even privacy-oriented projects like Polygon initially opting for sidechains before layering in ZK tech. More recently, major chains are integrating privacy features incrementally, while builders shift toward specialized applications: private payment rails, dark pools for institutional trading, ZK-KYC systems, and beyond.

The harsh reality is that nobody truly prioritizes privacy. Even in crypto, an ecosystem born from cypherpunk ideals. Top Layer 2 rollups, per L2Beat's risk assessments, largely remain at early stages of decentralization: most falling short of Ethereum's full Stage 2 roadmap.

State of top 10 rollup risk by L2 Beat

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Source: https://l2beat.com/scaling/summary

Privacy-specific coins fare no better; Zcash, despite its shielded transaction capabilities, sees only about 30% of its supply in shielded pools as of early 2026, with fully private transfers remaining a minority. This limited adoption confines privacy to a niche audience of tech-savvy users, who themselves often fail to apply it consistently. The attack surface is too narrow, the market too small. This is creating a vicious cycle: builders lack economic incentives to develop privacy use cases, adoption stalls, and the loop perpetuates.

But this was without counting on…

The Institutional Catalyst

An economic catalyst

Privacy has remained a niche market, limited to ideologically driven or highly technical users. But a powerful new stakeholder is reshaping the landscape: institutional players. Their entry represents a major economic catalyst. For the first time, privacy is no longer optional, it's a prerequisite driven by institutions that need secure, compliant tools to scale meaningfully onchain.

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The total cryptocurrency market cap hovers around $2.3–2.4 trillion as of early March 2026 (sources: CoinGecko, CoinMarketCap, MacroMicro data showing ~$2.30T–$2.38T range). In contrast, global traditional financial assets and markets dwarf it. Global equity market cap alone exceeds $126 trillion, fixed income outstanding ~$145 trillion, and broader financial assets (including private credit, hedge funds, etc.) push well into hundreds of trillions.

On the infrastructure side, public blockchain foundations are staffing up to guide marquee institutions into the ecosystem of open networks after years of favoring semi-permissioned architectures for their familiar setups (despite lower decentralization and value proposition). At the same time, some institutions are building their own solutions outright. Goldman Sachs' GS DAP®️ or JP Morgan's Kinexys (formerly Onyx) are two examples.

On the use-case side, crypto-native projects are actively onboarding TradFi players. Morpho has seen steady institutional traction positioning itself as a backend for finance. Others pursue the regulated route like Dowgo, building a unified tokenization engine for private markets with 24/7 trading and settlement. TradFi players are exploring blockchain to leverage for specific use cases too. BlackRock's BUIDL while Société Générale-FORGE has deployed structured products and vaults on Ethereum.

BUILD Metrics based on Dune Dashboard

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Source: https://dune.com/Marcov/blackrock-buidl

These efforts signal convergence: Institutions are definitively planning to come onchain (even if they're not fully here yet). They are creating the perfect foundation to make the privacy market deep enough to matter. Because here's the specificity: institutional players operate by their own rules. And they need Privacy to come onchain.

From anon era to compliant privacy

Privacy in crypto was long equated with full anonymity (Tornado Cash mixers, Monero’s ring signatures…). The ecosystem has matured. We need to preserve cypherpunk fundamentals, privacy as autonomy while use cases evolve toward selective confidentiality that meets regulatory and institutional needs. Players are professionalizing; new onchain actors bridge fintech/TradFi through regulated rails and tokenization, many VCs now call it “fintech infrastructure” rather than pure crypto.

This transition requires a co-working era: privacy and compliance must coexist. Railgun illustrates the shift: zk-SNARK privacy for DeFi (transfers, swaps, lending) with built-in compliance, making it composable, decentralized, and regulator-friendly.

Impact and importance for the onchain economy

In a bad scenario, full visibility reigns: every financial move (spending patterns, savings allocations, investment flows…) becomes trackable, like having a constant shadow following you down the street. As agentic economies rise, with AI agents handling payments, trades, and personal finance autonomously, a lack of privacy could spell disaster. Imagine a major data breach in a big LLM system exposing not just transactions but intimate conversations or emotions, and life details. Without robust privacy safeguards these breaches erode trust and expose users.

Another grim path: we fail to migrate TradFi and fintech volumes onchain, despite having the cryptographic toolkit ready. Blockchain emerges as the ideal infrastructure for a safer, decentralized internet and financial system. But due to execution gaps and/or other reasons we never build the necessary tools. The result? Onchain remains a retail playground, missing trillions in institutional capital, while offchain systems perpetuate data silos, surveillance and breaches.

Contrast this with a positive scenario: privacy becomes inherent, built by design into every product and protocol. Security and privacy are non-negotiable baselines. As HTTPS became the web standard, ensuring data integrity while fostering compliance-friendly environments that deter illegal activities without stifling innovation. Compliant dark pools handle institutional trades privately, ZK-KYC enables seamless onboarding with selective disclosure, and agentic AI operates within encrypted rails, protecting personal details even in interconnected ecosystems. This vision unlocks true scale: a deeper liquidity with broader participation and a resilient onchain economy where autonomy thrives alongside accountability.

Behind the doors: building a privacy-by-design ecosystem

Behind privacy: key cryptographic primitive

Here’s a concise breakdown of the main privacy-preserving technologies. Deep dive into the panels of the 50 Partners Onchain Day, hosted in early February in partnership with Circle and Bpifrance.

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TEE (Trusted Execution Environment): Hardware-based secure enclave (e.g., Intel SGX, ARM TrustZone) where code runs in isolation. The data stays encrypted in memory with remote attestation proving integrity.
Pros: Fast execution, high throughput, strong integrity guarantees for high-frequency workloads.
Cons: Relies on hardware trust (potential side-channel attacks or centralized manufacturers) so not fully decentralized.
Use cases: DeFi oracles, block building, algorithmic trading and high-frequency processing, private data processing in institutional setups.

FHE (Fully Homomorphic Encryption): Compute directly on encrypted data without decrypting supports arbitrary operations while keeping inputs private.
Pros: True end-to-end encryption, no decryption needed, enables committee-based joint computation, protects strategies/algorithms.
Cons: Computationally heavy (high latency and cost), less mature for real-time apps.
Use cases: Privacy-preserving stablecoins, composable DeFi, confidential trading/price discovery, high-security financial apps.

AHE (Additive Homomorphic Encryption): Partially homomorphic scheme (e.g., Paillier, ElGamal variants, or lattice-based like Kyber AHE) that supports unlimited additions on encrypted data without decryption. More limited than full schemes but far more efficient.
Pros: Much less complex and computationally intensive than FHE.
Cons: Limited to additive operations only (no multiplications for arbitrary compute).
Use Cases: Private aggregations, stealth addresses in crypto (e.g., HE-DKSAP for privacy-preserving payments), biometric template protection.

MPC (Multi-Party Computation): Multiple untrusted parties jointly compute on private inputs (via secret sharing or public-key methods) without revealing data to each other.
Pros: No single point of trust, strong confidentiality for collaborative computation, flexible for complex DeFi.
Cons: Communication overhead (especially secret-sharing variants), scales poorly with many parties, requires honest majority.
Use Cases: OTC matching, private auctions, joint block construction, institutional custody, price discovery without leakage.

ZK (Zero-Knowledge Proofs) Prove statements (e.g., compliance, validity) without revealing underlying data; generates succinct, verifiable proofs.
Pros: Excellent for verification and compliance, post-execution integrity, quantum-resistant in many schemes.
Cons: Not ideal for during-execution privacy or high-frequency computation; proof generation can be slow/expensive.
Use Cases: ZK-KYC, settlement/compliance proofs, validity rollups, self-sovereign credentials, proving solvency without exposure.

These technologies complement each other in privacy-by-design ecosystems. Hybrids combination open scalable privacy in onchain finance while respecting performance and compliance constraints. This hybrid privacy approach could drastically improve efficiency, unlock broader adoption and preserve composability across onchain financial systems, as Jonathan Passerat-Palmbach from Flashbots highlighted during the 50 Onchain Day:

“We were talking about like DeFi bricks the early days of DeFi. The composability was really a thing that people were stressing.

But if you have composability without privacy, you don’t get good execution.

Now we have the tools to do that.”

Jonathan Passerat-Palmbach, Flashbots

Rethinking business models: privacy as a driver

GAFAM empires and the majority of tech companies rely on selling user data with ad revenue alone exceeding $500B annually, creating strong incentives to downplay privacy education and keep users complacent. The ecosystem needs a paradigm shift.

Platforms like DuckDuckGo or Proton have proven they can capture a market with privacy-first values and scale to 100 million users. Privacy can be a powerful hook, provided it is backed by essential features: seamless UX/UI, competitive pricing, and high performance.

Beyond market demand, privacy is now a builder’s non-negotiable responsibility. Embedding privacy by design from day one must be as critical as security. It must be integrated into the fabric of all digital economies. For builders, the incentive is clear: it mitigates risks like data breaches while fostering long-term trust. One truth remains: we need to build. The on-chain future demands it.

New Use Cases

Privacy-enabling technologies are unlocking practical, high-impact applications in the onchain economy moving beyond theory to real products that institutions and users can adopt at scale.

  • Dark Pools Onchain dark pools allow large trades to execute privately without revealing intent, size, or price. The addition of cryptographic primitives makes it possible to guarantee best execution and market integrity while preventing information asymmetries. This helps mitigate front-running, excessive slippage, and MEV extraction. These mechanisms are gaining traction as a solution for low-impact execution in volatile markets, leveraging privacy as a key moat for institutional participation in onchain finance.

  • Compliant Payment Rails Privacy-preserving payment rails enable secure, institutional-grade transactions. Settlement can occur instantly via stablecoins or tokenized deposits while shielding sensitive information (such as amounts and counterparties) from public visibility. These rails support cross-border treasury management, payroll, and settlement without exposing operational strategies. Over time, privacy could become a core layer of financial infrastructure, enabling trillions of dollars in institutional flows to move onchain.

  • x402 with Privacy The x402 protocol (Coinbase’s HTTP-native micropayments standard) allows AI agents or users to pay per API call, content access, or service directly via stablecoins. Privacy extensions help mitigate traceability risks arising from metadata like wallet addresses or IP-level correlations, enabling confidential agent-to-machine commerce. In this context, privacy-by-design becomes essential to prevent the creation of easily correlatable financial trails and will become a key requirement.

  • Privacy in the Order Flow Protecting order flow from MEV bots and surveillance is critical as agentic trading grows. Private relays (e.g., Flashbots MEV-Share), encrypted mempools, or ZK/TEE-based routing hide pending intents while ensuring fair execution.

  • Privacy Neobanks Crypto-native or hybrid neobanks are embedding privacy at their core. These new financial interfaces blend TradFi-grade UX with onchain sovereignty. In this model, privacy becomes a strategic advantage.

Conclusion & Outlook

Privacy is no longer a feature. It is a fundamental need, a human right in the digital age.

The landscape has shifted decisively over the past few years, and especially in recent months. What began as a niche concern for cypherpunks and privacy maximalists has become a structural imperative. Institutions are no longer on the sidelines: their demand for compliant, confidential onchain infrastructure is creating real economic depth.

Builders must now deliver both new confidential payment rails and privacy components embedded by design. If we want an onchain economy that is resilient, performant, and secure at institutional levels. From the user perspective, the call is simpler and more personal: put a lock on your digital door. Start cultivating basic habits of self-protection in the online world, just as instinctively as you lock your apartment. Users still hold immense power: attention, capital, and adoption flow where people direct them. Every choice shapes the ecosystem. Collectively, we decide whether the future is.

The moment of choice is now.

For builders already shipping privacy-native solutions, for teams exploring these primitives, or for anyone passionate about this inflection point: the path forward is clear and accelerating.

At 50 Partners, we’ve been backing privacy-enabling infrastructure and applications from the earliest days. We continue to invest in the next generation of tools that make onchain finance truly private, compliant, and scalable. If you’re building (or want to build) in this space, reach out. The future isn’t being written, it’s being coded.

Let’s build it right.

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