---
title: "Is T3D2 Dead? Has AI Killed It?"
description: "AI companies like OpenAI \u0026 Anthropic are growing at unprecedented rates, far exceeding traditional T3D2 frameworks. Explore how AI transformation, larger contracts, \u0026 defensive incumbents are reshaping growth expectations \u0026 IPO requirements."
categories: ["AI","SaaS","data"]
keywords: ["T3D2 framework","AI growth rates","SaaS metrics","OpenAI revenue growth","Anthropic growth","IPO requirements","AI transformation","startup growth frameworks","venture capital metrics","AI market dynamics"]
ai_summary: "AI companies like OpenAI reached $12B ARR in 5 years, challenging the T3D2 IPO framework as expectations shift from $100M to $300M revenue at 50% growth."
date: 2025-09-23
lastmod: 2026-07-23
canonical_url: https://www.tomtunguz.com/t3d2-ai-era/
author: "Tomasz Tunguz"
---


OpenAI hit $12 billion ARR within five years of ChatGPT's launch{{< cite id="1" url="https://www.theinformation.com/articles/openai-hits-12-billion-annualized-revenue-breaks-700-million-chatgpt-weekly-active-users" title="OpenAI Hits $12 Billion in Annualized Revenue" author="The Information" date="July 2025" >}}. Anthropic reached $200 million in revenue in January 2024{{< cite id="2" url="https://getlatka.com/companies/anthropic" title="How Anthropic hit $200M revenue and 100K customers in 2024" author="Latka" date="2024" >}}. Meanwhile, Salesforce took ten years to reach $1 billion ARR{{< cite id="3" url="https://nira.com/salesforce-history/" title="How Salesforce Built a $13 Billion Empire from a CRM" author="Nira" date="2024" >}}.

Does this mean the {{< entity abbr="T3D2" full="Triple-Triple-Double-Double" wiki="https://www.battery.com/blog/helping-entrepreneurs-triple-triple-double-double-double-to-a-billion-dollar-company/" >}} framework (triple-triple-triple-double-double ARR to go public), originally outlined by Neeraj Agrawal, which provides a clear path to IPO-scale revenue is dead?

{{< email_image src="sa89jzm6rowrgwj68qrh" alt="t3d2_growth_chart" width="540" height="304" >}}

There's no doubt that AI companies have grown at unprecedented rates. If we understand these fundamental drivers, we can better assess how sustainable this growth is.

1. Management teams & boards are insisting on AI transformation. ROI is still early. This urgency is captured by Larry Page's recent quote: "I am willing to go bankrupt rather than lose this race." The same mentality drives aggressive experimentation across multiple vendors & rapid buying decisions, from hyperscalers to mid-market businesses. Will the end of this era lead to churn?

2. AI can automate labor. The overall cost savings can be significantly greater than workflow optimization tools of the previous era. As a result, the contract sizes for many AI products are significantly larger to start. If this continues, the overall bookings model & AE productivity model also need to change. If AI can deliver on the promise, larger contract sizes may be the norm.

3. Incumbents are defensive. The prizes in AI are huge. The initial curiosity around AI & the massive growth rates of some companies has led some incumbents to turn defensive, blocking access to their data. More defensibility might also curtail on-platform growth.

The more sustainable AI's growth rates & customer retention are, the more challenging T3D2 advice remains because the market's expectations of growth will change. But for now, it's too soon to tell whether the sizes of the contracts and durability are long-term characteristics of this market.

For businesses currently on the T3D2 plan, the fundraising market may be a bit more challenging because of the comparison to AI growth rates. Also the expectations around size at IPO have increased.

$100m in trailing revenue growing 50% used to be the target. But now the expectation is closer to $300m growing at 50%. Attaining those numbers requires sustaining high growth rates for longer.

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