After enough market cycles, I’ve come to feel that crypto is exceptionally good at inventing new stories, while many of the old problems remain unresolved. First it was DeFi that would reinvent finance, then GameFi would onboard the masses, then came SocialFi, Restaking, and now AI Agents. Every cycle gives the market a new vocabulary and a new thesis to rally around. Sometimes there are good reasons to believe the next wave is different. But eventually, the conversation always returns to the same unglamorous question:
Is anyone actually using this every day?
That’s the part I think this industry has ignored for too long.
Crypto spends an enormous amount of energy refining the narrative—finding the right keywords, aligning with the hottest trend, packaging a project in a way that feels inevitable. But building a product people return to the next day, the next week, and months later after the hype cools off is a very different challenge. Liquidity can be subsidized. Users can be incentivized. Trading volume can be engineered through reward systems. Habitual usage is much harder to manufacture.
And that’s why I find it interesting to compare Newton Protocol with ai16z.
To me, they seem to represent two very different interpretations of the same AI-crypto narrative.
ai16z feels closer to the symbolic side of the AI-native movement in crypto: a project whose value is tied, at least in part, to its ability to capture attention and build a community around the idea of autonomous agents, AI-native coordination, and digital entities that can operate economically onchain. It leans into the imagination of what an agent economy could become. And that matters—because in crypto, attention is often the first form of capital.
But the hard question remains the same: beyond the narrative and market excitement, how much real activity is happening underneath?
Newton Protocol, on the other hand, appears to be going after a less glamorous problem. Not necessarily how to make AI more intelligent, but how to make AI activity in Web3 verifiable, composable, and operational at scale without depending entirely on trust. That’s a much drier pitch. It doesn’t naturally generate memes, and it’s harder to compress into a catchy slogan on X. But sometimes the boring layers are exactly the ones that matter most if a system is meant to last.
That doesn’t mean Newton is “right” and ai16z is “wrong.” I don’t think the market works in such a binary way.
Narrative has real value. In many cases, crypto has survived precisely because it knows how to tell a story compelling enough to attract capital, developers, and early communities. Without narrative, most early-stage networks would struggle to create momentum at all. But narrative is only the opening chapter. It’s not the full business model.
What makes me cautious is how quickly “AI” is becoming a catch-all label. A chatbot with a token can be framed as AI. A DAO with a new coordination model can be framed as AI. An orchestration layer for automated onchain tasks can also be framed as AI. Once everything is AI, the label itself stops explaining very much.
And from that angle, Newton vs ai16z feels less like a simple comparison between two projects and more like a test of what this market ultimately values.
Will crypto keep rewarding ecosystems that are best at generating attention, sustaining community momentum, and becoming a cultural object in the market? Or will it gradually shift back toward less visible metrics—things like integration depth, number of tasks executed, retention of real users, and whether people genuinely depend on the product once incentives fade?
Because in the end, polished whitepapers do not create usage. A powerful narrative does not automatically mean a real problem is being solved. Crypto has a long history of projects dominating the timeline for a quarter or two, only to disappear once it becomes clear that demand was never as durable as the story suggested.
From where I’m standing, Newton Protocol seems to be betting that the infrastructure layer for AI will matter more than the AI narrative itself. ai16z, by contrast, seems to be betting that attention is the scarcest asset in digital markets—and whoever captures it first earns the right to build everything else later.
Both are rational bets. Both fit how crypto works.
I’m not confident enough yet to say which one the market will reward over the long run. What I do know is that crypto usually rewards narratives much faster than it rewards products—but it can also be ruthless once the noise fades and user retention becomes impossible to fake.
So for now, I don’t think this is a question that can be answered by a dashboard or a single cycle of hype. It needs time.
I’m still watching.