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Minting as the New Web3 Currency: A Quick List of Popular Use Cases
A more potent social signal than Like, Share, and Subscribe is starting to emerge: minting.

Ethereum in Motion: Why ETH Velocity Matters
Understanding how the circulation of ETH drives Ethereum's growth and utility

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For most of its short history, the blockchain has been understood as a financial technology, a faster, cheaper rail for moving money. That framing captured headlines and capital. It also missed the point in understanding blockchain's future.
It turns out the deeper transformation now underway is not about the movement of money. It is about the movement of trust.
As we explore the evolution of this technology, we must acknowledge that trust plays a crucial role in shaping blockchain's future.
Trust is the invisible substrate of the global economy. It underwrites markets, stabilizes governments, and animates every contract ever signed. Yet modern trust is fragile, expensive, and concentrated. We compensate for its scarcity with layers of intermediaries —banks, clearinghouses, custodians, auditors, and courts—each adding friction, cost, and points of failure. For decades, that was the unavoidable price of coordination.
Blockchain changes the calculus. Not by making payments faster, speed is a feature that can be optimized or replicated, but by embedding the rules of trust directly into neutral, programmable infrastructure where agreements execute automatically, assets settle without custodial bottlenecks, verification replaces assumption, and parties who have never met, operating under different legal regimes, can transact with high confidence because enforcement is encoded, not negotiated.
When trust migrates from organizations’ chokehold to neutral infrastructure, entire systems have a chance to reorganize, not as a performance upgrade, but as a structural redesign.
The internet offers the clearest precedent. Its early years were consumed by the novelty of digitizing information. Over time, it became the backbone of commerce, communication, and global coordination, not because it was the fastest network at launch, but because it became the most open, neutral, and widely trusted one. Speed was secondary. Credibility compounded.
Blockchain is entering that same second phase. If the first act was about money, the second is about trust functions: settlement, verification, identity, ownership, attestation, and coordination. The question that will determine a blockchain’s long-term value is how much economic activity dares to depend on it.

For most of its short history, the blockchain has been understood as a financial technology, a faster, cheaper rail for moving money. That framing captured headlines and capital. It also missed the point in understanding blockchain's future.
It turns out the deeper transformation now underway is not about the movement of money. It is about the movement of trust.
As we explore the evolution of this technology, we must acknowledge that trust plays a crucial role in shaping blockchain's future.
Trust is the invisible substrate of the global economy. It underwrites markets, stabilizes governments, and animates every contract ever signed. Yet modern trust is fragile, expensive, and concentrated. We compensate for its scarcity with layers of intermediaries —banks, clearinghouses, custodians, auditors, and courts—each adding friction, cost, and points of failure. For decades, that was the unavoidable price of coordination.
Blockchain changes the calculus. Not by making payments faster, speed is a feature that can be optimized or replicated, but by embedding the rules of trust directly into neutral, programmable infrastructure where agreements execute automatically, assets settle without custodial bottlenecks, verification replaces assumption, and parties who have never met, operating under different legal regimes, can transact with high confidence because enforcement is encoded, not negotiated.
When trust migrates from organizations’ chokehold to neutral infrastructure, entire systems have a chance to reorganize, not as a performance upgrade, but as a structural redesign.
The internet offers the clearest precedent. Its early years were consumed by the novelty of digitizing information. Over time, it became the backbone of commerce, communication, and global coordination, not because it was the fastest network at launch, but because it became the most open, neutral, and widely trusted one. Speed was secondary. Credibility compounded.
Blockchain is entering that same second phase. If the first act was about money, the second is about trust functions: settlement, verification, identity, ownership, attestation, and coordination. The question that will determine a blockchain’s long-term value is how much economic activity dares to depend on it.
Moving My Blog to Paragraph While Backing Into Web3
And What if Web3 ends-up being a feature of Web2?

Minting as the New Web3 Currency: A Quick List of Popular Use Cases
A more potent social signal than Like, Share, and Subscribe is starting to emerge: minting.

Ethereum in Motion: Why ETH Velocity Matters
Understanding how the circulation of ETH drives Ethereum's growth and utility
This also explains why trust is so difficult to replicate. It emerges from a complex equilibrium of decentralization, security, governance, and social legitimacy, properties that must be earned through adversarial testing over the years. You cannot purchase credible neutrality with venture capital or bootstrap it with marketing. A fast chain with weak trust guarantees is simply a high-throughput system waiting for its first serious crisis. A slower, more conservative system with strong neutrality can support entire markets.
Among existing networks, Ethereum illustrates this dynamic most clearly. Its open architecture, global developer base, and decade of conservative protocol evolution have produced a degree of credible neutrality that is rare in any technology platform, let alone a decentralized one. It increasingly serves as a settlement layer for stablecoins, tokenized assets, and institutional financial products, not because it is the fastest blockchain, but because the cost of misplaced trust in financial infrastructure is catastrophic. When BlackRock, Fidelity, JP Morgan, Franklin Templeton, and major banks choose where to issue tokenized assets, they are not optimizing for throughput. They are optimizing for durability.
The implications extend well beyond finance. When trust is embedded in programmable infrastructure, new categories of coordination become possible. Autonomous AI systems will need neutral settlement layers to transact credibly with one another and with humans. Global supply chains can verify actual “state truth” across jurisdictions without relying on siloed databases. Individuals can hold and transfer value without routing it through gatekeepers whose incentives may shift at any time.
In each case, the core requirement is the same: a system whose rules cannot be unilaterally rewritten or controlled by any single party. That is what programmable trust provides.
This reframing also has consequences for how we assess value. The long-term worth of a blockchain will not be captured in transaction-per-second benchmarks or quarterly fee revenue any more than the value of the internet can be measured in packet fees. It will be measured in the volume and value flow of markets, institutions, and agreements that entrust their core operations to it. The relevant metric is not throughput. It is dependence.
The first phase of blockchain asked whether we could move money differently. The second asks how we can coordinate differently, whether the trust that underpins contracts, identities, ownership, and governance can be rebuilt on neutral infrastructure rather than concentrated in institutions that are slow, opaque, and increasingly contested.
For businesses and governments, the strategic question is whether they are prepared for an economy in which trust itself has been re-engineered, and in which those who build on the old architecture may find it has quietly become the more expensive, more fragile choice.
This also explains why trust is so difficult to replicate. It emerges from a complex equilibrium of decentralization, security, governance, and social legitimacy, properties that must be earned through adversarial testing over the years. You cannot purchase credible neutrality with venture capital or bootstrap it with marketing. A fast chain with weak trust guarantees is simply a high-throughput system waiting for its first serious crisis. A slower, more conservative system with strong neutrality can support entire markets.
Among existing networks, Ethereum illustrates this dynamic most clearly. Its open architecture, global developer base, and decade of conservative protocol evolution have produced a degree of credible neutrality that is rare in any technology platform, let alone a decentralized one. It increasingly serves as a settlement layer for stablecoins, tokenized assets, and institutional financial products, not because it is the fastest blockchain, but because the cost of misplaced trust in financial infrastructure is catastrophic. When BlackRock, Fidelity, JP Morgan, Franklin Templeton, and major banks choose where to issue tokenized assets, they are not optimizing for throughput. They are optimizing for durability.
The implications extend well beyond finance. When trust is embedded in programmable infrastructure, new categories of coordination become possible. Autonomous AI systems will need neutral settlement layers to transact credibly with one another and with humans. Global supply chains can verify actual “state truth” across jurisdictions without relying on siloed databases. Individuals can hold and transfer value without routing it through gatekeepers whose incentives may shift at any time.
In each case, the core requirement is the same: a system whose rules cannot be unilaterally rewritten or controlled by any single party. That is what programmable trust provides.
This reframing also has consequences for how we assess value. The long-term worth of a blockchain will not be captured in transaction-per-second benchmarks or quarterly fee revenue any more than the value of the internet can be measured in packet fees. It will be measured in the volume and value flow of markets, institutions, and agreements that entrust their core operations to it. The relevant metric is not throughput. It is dependence.
The first phase of blockchain asked whether we could move money differently. The second asks how we can coordinate differently, whether the trust that underpins contracts, identities, ownership, and governance can be rebuilt on neutral infrastructure rather than concentrated in institutions that are slow, opaque, and increasingly contested.
For businesses and governments, the strategic question is whether they are prepared for an economy in which trust itself has been re-engineered, and in which those who build on the old architecture may find it has quietly become the more expensive, more fragile choice.
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A recent blogpost argues that blockchain's future centers on trust embedded in neutral, programmable infrastructure, not merely moving money. It highlights settlement, verification, identity, and governance as core trust functions, with Ethereum cited for durable credibility. @wmougayar
The Blockchain’s Second Act
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A recent blogpost argues that blockchain's future centers on trust embedded in neutral, programmable infrastructure, not merely moving money. It highlights settlement, verification, identity, and governance as core trust functions, with Ethereum cited for durable credibility. @wmougayar
The Blockchain’s Second Act