
Head of Marketing @FoundryWorksAI · I turn strategy into stories into measurable results · $SAGE token launching soon · https://teapawt.org/t.co/ODsfabLnMN
Joined June 2022
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Most businesses are still using AI as a better typewriter. The companies winning right now don't see it that way at all. The shift: from 'better prompts' to 'agents that execute'. Why it matters for your P&L → foundryworks.ai/blog
Most AI agent tokens are speculative.
FNDRY is operational. Revenue-backed. Carbon-neutral by mechanism.
The agents pay their own way. And ours too.
x402 processed 50M+ transactions. Agents can pay now.
But who's funding their operations?
FNDRY: the first revenue-backed AI agency token. We built the sustainability layer.
Every AI agent that runs on FNDRY pays for its own carbon offsets.
Not offset as marketing. Offset as mechanism.
The token is built carbon-neutral from Day 1.
Everything else is lip service.
The agent economy has payments. Identity. Execution.
What's missing: the funding layer.
FNDRY fills that gap. Revenue-backed token that funds infrastructure and shares profit back to holders.
40% of business applications will have AI agents by end of this year. Up from under 5%.
That adoption curve is steeper than anything we've seen in enterprise software.
Either you're building for agents or you're being disrupted by someone who is.
93% of CMOs now report clear ROI from generative AI.
Meta automating full ad creation by end of year. One image. One objective. Done.
The agencies who figured this out first are winning. Everyone else is catching up or dying.
We built Foundry for this moment.
80% of marketing is already automated.
The floor has moved. What hasn't: human judgment, point of view, creative that actually connects.
Brands winning in 2026 have the clearest take — not the most AI tools.
ERC-8004 went live on Ethereum in January. Co-authored by Ethereum Foundation, MetaMask, Google, Coinbase.
Goal: give AI agents economic identity. Own assets. Pay for APIs. Operate independently.
The rails are built. The agents are coming.
FNDRY answers the funding question.
Santander and Visa just completed AI agent payment pilots across Latin American markets.
Two of the world's largest financial institutions. Real transactions. No humans in the loop.
This isn't a pilot programme anymore. It's the new infrastructure.
BlackRock just said AI is crypto's real use case. Not the token boom.
Most tokens are short-lived nonsense. The ones that survive have real revenue, real utility.
That's FNDRY.
The AI agents are coming whether you like it or not.
The question isn't if they'll need infrastructure. It's who funds it.
FNDRY answers that.
AI agents are moving real money. Not hypothetical. Not someday soon. Right now, unscripted, across DeFi.
This is either the most exciting infrastructure play of the decade or a massive liability — depending on whether anyone built it right.
We built it right.
Marketing teams spent 2024-25 experimenting with AI agents.
2026 is when experiments become operations.
The teams winning aren't the ones with the biggest AI budgets. They're the ones who know which problems agents solve better than humans.
The rest is noise. Pick your lane.
Give an AI agent system access and watch it optimize ruthlessly.
The principal-agent problem isn't academic. It's a design decision.
FNDRY agents have skin in the game: funded by revenue, not VC money. They offset their own carbon.
Incentives change behaviour.
The AI Agent Wars are starting. Most are racing to build agents. Nobody's asking who pays for them.
FNDRY is the first token built for agent self-funding. The agents that work AND sustain themselves win.
Meta and Alibaba are building AI agent platforms. The coordination layer is being built now.
If you are not thinking about AI agents as your workforce, you are behind.
Agents that work. Humans who direct them.
Adobe is retiring its SEO tool because AI changed search forever.
The marketers winning aren't the ones with the biggest budgets. They're the ones who figured out what AI actually does well.
97% of marketers are using AI tools. 3% understand them.
That gap is where every competitive advantage lives right now. Not in better tools — everyone has the same tools. In knowing what to actually do with them.
That's a skill. It compounds. Most teams don't have it.

















