Tech & AI Twitter Unfiltered: The Real Conversations Shaping Tomorrow

Venture capitalist David Sacks just claimed Anthropic is on track to become the most valuable company in human history within eighteen months. This isn't just another thread about a unicorn valuation; it’s a conversation about the birth of a new kind of monopoly, and whether it’s being built under the guise of safety. This week’s chatter crystalizes a theme we’ve been tracking: the AI gold rush is over. The phase of building the empires has begun. While Anthropic shoots for a near-trillion-dollar valuation at the top of the stack, a brutal war is being fought for the foundations. Databricks just saw its private valuation soar to one hundred and thirty-four billion dollars, now more than double its public rival Snowflake, even though their revenues are nearly identical.

The market is placing massive bets on who will own the data layer that powers everything else. And as these new powers emerge, they're building their own institutions. The AI Conference, scheduled for this fall in San Francisco, has become the de-facto summit for the new establishment, with a speaker list that reads like a who's-who of the AI ruling class: NVIDIA, Google, Meta, Uber... and of course, Anthropic. The agenda is no longer about what’s possible; it’s about what’s profitable, with sessions focused on turning AI into industrial-grade utilities for things like customer experience and logistics. Let’s go back to that Anthropic number. It’s so big it almost sounds fake. An eighty-five to ninety billion dollar funding round.

A valuation approaching nine hundred billion dollars. And a revenue chart that looks less like a business and more like a space launch. Anthropic’s annualized revenue surged from around one billion dollars at the end of 2024 to over thirty billion by this April. That’s not growth. That’s a phase change. David Sacks did the math and said, quote, “Anthropic is growing at an exponential rate — ten X a year — and if they just do that for eighteen more months, they’ll be by far the most valuable company in human history.” But here’s the turn. Sacks isn't cheering. He’s sounding an alarm. He compares Anthropic to Standard Oil, but with better PR. His argument is that Anthropic's entire public identity is built around "AI Safety," their "Constitutional AI," and their responsible, careful approach.

He then delivers the line that’s all over Twitter today. He says, “Imagine if John D. Rockefeller was way better at public relations, and instead of calling his company Standard Oil, he called it Safe Oil... people would have missed what was really going on — which is that Rockefeller was building the richest, most powerful monopoly of all time.” The accusation is that "safety" is a strategy for regulatory capture. That by positioning themselves as the "safe" ones, they can lobby governments to create rules that only they, with their massive resources, can comply with. This would effectively lock out smaller competitors and, crucially, the open-source movement. And Sacks isn't the only one.

Meta's chief AI scientist, Yann LeCun, has been saying for months that the safety narrative from closed-model companies is a tactic to kill open-source competition. Now, Anthropic’s CEO, Dario Amodei, pushes back hard. He argues their commitment to safety is real and expensive. He says they spend "hundreds of millions in compute and engineering resources" on it. And their customers in regulated industries like finance and healthcare see this as a critical feature, not a bug. They’re buying Claude Code and Cowork not just because they’re powerful, but because they come with a safety guarantee that a scrappy open-source model can't offer. So which is it? Is AI safety a genuine, costly necessity for building powerful systems?

Or is it the most sophisticated moat-building strategy the business world has ever seen? The answer is probably both. But when a company's revenue is growing by a factor of thirty in sixteen months, the "why" starts to matter less than the "what's next." A company with a trillion-dollar valuation and a direct line to regulators doesn't just sell a product. It sets the terms for the entire industry. That brings us to the ground floor. The battle between Databricks and Snowflake. Because no matter which model sits on the throne—Anthropic, OpenAI, Google—it will be powered by data. And the fight to be the platform for that data is getting brutal. Here are the numbers. Databricks, a private company, is reporting a five-point-four billion dollar revenue run-rate and is valued at one hundred thirty-four billion dollars.

Snowflake, a public company, is guiding for five-point-six-six billion in product revenue this year... and has a market cap of fifty-two billion dollars. Let that sink in. Nearly identical revenue. A valuation gap of eighty-two billion dollars. What is happening? The story changed. The market isn't pricing the present; it's pricing the narrative. Databricks has the AI-native narrative. It was born from the academic world that created Apache Spark. Its entire architecture—the "lakehouse"—was designed for the kind of massive, unstructured data workloads that machine learning requires. When investors look at Databricks, they see a company built for the AI era from the ground up. Its sixty-five percent year-over-year growth tells them that story is true.

Snowflake, on the other hand, is seen as the incumbent. The king of the last era—the structured cloud data warehouse. They have an incredible business, with fortress-like enterprise penetration and one hundred and twenty-five percent net revenue retention. Customers who use Snowflake, use it more every year. But on Wall Street, they're being priced like a mature software company that now has to prove it can pivot to AI. They're shipping AI products like Snowflake Intelligence and Cortex Code, but the market is saying: show me. Show me it can move the revenue curve. A quote from an analyst on techi-dot-com summed it up perfectly: "Databricks is being priced as an AI data platform that can compound into a much larger market.

Snowflake is being priced more like a durable but maturing software company." This isn't just about two tech giants. This is a proxy war for the soul of enterprise AI. Will the future be built on new, AI-native platforms? Or will the established giants successfully adapt and integrate AI into their existing ecosystems? The eighty-two-billion-dollar gap in valuation is the market's current answer. It’s a bet that the future doesn't look like the past, and that the tools that got us here won't be the ones that take us to the next level. So this week, the shape of the future became a little clearer. We have a company on a trajectory to become a new kind of superpower, a potential monopoly at the intelligence layer.

We have a vicious fight to build the foundational data layer beneath it, where narrative is proving to be as valuable as revenue. And we have the formation of a new establishment, a conference where the winners will gather to decide what comes next. The conversation has decisively shifted from the magic of what AI can do, to the much more terrestrial question of who gets to control it. The architecture of the next economy is being drafted not just in Python, but in term sheets and stock prices.