Institutions cannot expose their trading strategies or customer data on public blockchains. They view privacy not as a feature but as a 'non-negotiable' prerequisite. Until scalable, compliant privacy technologies are widely available, deep institutional engagement with DeFi will remain limited.
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The promise of a decentralized internet (Web3) built on data sovereignty has not materialized. The fundamental reason is that the general population does not value privacy and data ownership enough to abandon convenient, centralized Web2 services, thus preventing Web3 from reaching critical mass.
As AI-powered sensors make the physical world "observable," the primary barrier to adoption is not technology, but public trust. Winning platforms must treat privacy and democratic values as core design requirements, not bolt-on features, to earn their "license to operate."
Institutions define "institutional-grade" as having human safety nets, negotiating leverage, and someone to call. This directly contradicts the core crypto ethos of removing human intermediaries and soft power, creating an ironic tension for crypto protocols seeking institutional adoption.
A complete shift of financial assets to blockchain is imminent. This won't happen on transparent chains like Ethereum, but on purpose-built networks like Canton. The key enabler is configurable privacy, a feature that allows financial institutions to transact without broadcasting their proprietary positions to the entire world.
Unlike competitors using crypto to operate outside regulatory frameworks, Kalshi's CEO views on-chain technology as a tool to enhance a regulated system. He envisions using it for clearing to improve immutability and transparency, enabling a permissionless ecosystem built upon a compliant foundation.
The next evolution in fintech will be regulated applications that offer seamless trading across traditional securities, tokenized assets, and native crypto. This framework allows direct user access to DeFi protocols like staking and lending from a single, compliant, and user-friendly platform, bridging the gap between two currently separate financial worlds.
Digital trust with partners requires embedding privacy considerations into their entire lifecycle, from onboarding to system access. This proactive approach builds confidence and prevents data breaches within the extended enterprise, rather than treating privacy as a reactive compliance task.
To win mainstream adoption, privacy-centric AI products cannot rely on privacy alone. They must first achieve feature parity with market leaders like ChatGPT. Users are unwilling to sacrifice significant convenience and productivity for privacy, making it a required, but not differentiating, feature.
Ali Ghodsi argues that while public LLMs are a commodity, the true value for enterprises is applying AI to their private data. This is impossible without first building a modern data foundation that allows the AI to securely and effectively access and reason on that information.
In past cycles, corporate interest in crypto was reactive to retail frenzy and often insincere. This time, financial institutions are building lasting tech and defining clear business cases, such as cost reduction and new product offerings, signaling a fundamental shift toward sustainable integration.