Prepare Yourself For the Coming AI Agent Tsunami
We started the Decentralized AI Agent Alliance in January, 2025, “To foster the development and proliferation of decentralized AI agents through education, activism, research, and events”. Today we’re 235 Founding Members working to move the industry forward.
It’s early, but it’s happening. Bots already make up 53% of internet traffic, and the inexorable rise of AI agents is poised to dramatically increase that share.
1. AI Agents Will Increasingly Be The Users Of Software & The Internet
Humans will state their intents, which will get executed by AI agents leveraging data, browsers, APIs, tools & other agents.
2. AI Is Run Off Data — And EVERYTHING Will Be Data
Information like text, images, and audio is being converted into arrays of numbers — called vectors — so that computers and AI can understand it.
Forecasts from IDC project that the global data sphere will grow 26% per annum, reaching 556 zettabytes by 2030. Huawei’s forecasts even more aggressive growth at 41.7% per annum through 2030.
3. Agent Orchestration Is Rapidly Improving
Agents today are best at specific task. Larger, more complicated tasks, need to be broken into smaller, manageable subtasks. An orchestrator component reviews the subtasks and assigns them to the most qualified specialized agent. The orchestrator passes shared memory and history forward between agents so progress is never lost during handoffs. It manages the overall workflow, handling loops, errors, and final outputs.
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Among orchestrators, I’m a fan of Jack Dorsey’s recently released Buzz,
Buzz starts users with three different agents, and treats them as first-class team members with their own identity, permissions, and native participation in channels. Buzz merges group chat, workflow automation, and built-in code repositories (challenging both Slack and GitHub), is decentralized (built on Nostr) and designed to be completely self-hosted, model-agnostic platform, allowing teams to customize their own instances. Belwo is a list of orchestrators:
4. Asset Management Is Ripe For AI Agent Disruption
Investing is about optimizing expected returns for given levels of risk, time horizons, and financial goals. The massive financial trend of our lifetime is indexing, because computers are better at maximizing returns for any level of risk, by minimizing costs (e.g. trading fees, taxes, ..) and optimizing portfolio diversification. The commercial below asks “What if investing didn’t need to take your time?”
5. AI Agent “Operators” Will Be In High Demand
When the internet exploded on the scene in 1996, every company in the U.S. woke up and realized they needed a website, but they had no staff with the knowledge to build one. So multiple multi-billion dollar market cap companies like Razorfish ($4B+) sprung up to build websites and let companies leverage the new technology.
That feels like where we are about to be with AI agents. It’s early, but AI agents are coming and everyone needs help to build and learn. And the sooner you start building, the sooner you’ll start learning.
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This content is for educational purposes only. It does not constitute trading advice. The author of this article may hold assets mentioned in the piece.
