Big Creek Briefing

The AI Gold Rush

Welcome to this week's Big Creek Briefing.

This week, the AI industry crossed a threshold that changes the game for every founder paying attention. Anthropic filed for what could be the largest IPO in U.S. history, Microsoft unveiled its own family of in-house AI models at Build 2026, and the data is getting clearer: small businesses that have moved from experimenting with AI to systematically deploying it are seeing nearly double the revenue growth of those that haven't. The window to be an early mover is still open, but it's narrowing fast.

Let's jump in!

AI Joke of the Week

Anthropic files for a trillion-dollar IPO. OpenAI files the next week. My AI subscription price files for an increase the week after.

Big Stories of the Week

Anthropic Files for an IPO That Could Rewrite the Record Books: On June 1, Anthropic confidentially submitted a draft S-1 to the SEC, kicking off what analysts believe could be a near-trillion-dollar debut. The company has been on a staggering run: revenue hit an annualized $47 billion in May 2026, up from roughly $10 billion just a year prior. For founders, this signals that Claude and the broader Anthropic ecosystem are here for the long haul, backed by institutional confidence that wasn't there 18 months ago.
Microsoft Build 2026: Seven New AI Models and a Push Toward Agentic Work:
Microsoft used its annual developer conference to announce a full family of in-house AI models under the MAI brand, including MAI-Thinking-1 (its first reasoning model), MAI-Code-1 for coding, and MAI-Voice-2 covering 15-plus languages. They also unveiled Microsoft Scout, a personal work agent that lives inside Teams and Outlook to proactively handle meeting prep, scheduling conflicts, and routine tasks without being asked. The message was clear: Microsoft is building AI that works for you in the background, not just when you prompt it.
Pre-ChatGPT Startups Are Getting Crushed, and It's a Warning for Everyone: A CNBC report from this week laid out a sobering reality: startups built before ChatGPT's release are struggling to survive as AI commoditizes their core value propositions. Companies that once charged premium prices for tasks that can now be automated are facing existential pressure. The lesson for small business owners is not panic but urgency: the businesses that are thriving are the ones actively rebuilding their workflows and services around AI capabilities, not defending the old way of doing things.

Main Insights

AI Agents are a Business Metric

AI agents went from a buzzword to a business metric fast. A 2026 study found that 74% of executives deploying AI agents reported achieving ROI within the first year, with the average return sitting at 171%. For small business owners, the most telling stat is this: businesses that invest in AI are nearly twice as likely to report year-over-year revenue growth than those that don't. The catch is that 57% of small businesses are still stuck in experimentation mode rather than building repeatable systems. The founders pulling ahead are the ones who stopped piloting AI and started operationalizing it.

Founder Insights

The competitive landscape is quietly being redrawn by team size. With AI handling research, drafting, customer communications, and parts of sales ops, a two-person company can now run workflows that used to require a team of eight. This is not just a cost story, it's a speed story. Smaller teams with fewer legacy processes are actually in a better position to build AI-native operations than large companies trying to retrofit decades of infrastructure. The founders winning right now are not the ones with the biggest budgets; they're the ones who picked three or four core workflows to systematize and went deep rather than wide.

Quick Hit: One Prompt to Simplify Your Week

"Act as a skeptical potential customer who has just discovered my business. Here is what I do: [insert your one-paragraph business description]. Ask me the five hardest questions a prospect would ask before deciding not to hire me or buy from me. Then, after I answer, give me a blunt assessment of which answers were weak and why."

This forces you to confront the objections your sales process might be glossing over, and it takes about ten minutes.

AI Tool Spotlight: Manus AI

If you have ever wished you could hand off a complex research or workflow task to an assistant and just walk away, Manus AI is worth your attention. Built by a team of former Alibaba and ByteDance engineers, Manus is an autonomous AI agent that operates inside a full virtual computer: it has a browser, a terminal, and a file system. You describe a multi-step task in plain language, such as "research the top ten competitors in my space, compile their pricing models, and build a comparison table," and Manus goes off and does it while you work on something else. You can watch it in real time or come back when it's done.

What makes Manus different from just using ChatGPT is the asynchronous execution. You are not sitting there babysitting a prompt; the agent is working independently in a sandboxed environment, browsing, collecting, and organizing. For founders who need deep competitive research, lead list building, or content aggregation done without burning hours of their own time, this fills a real gap. It works best on clearly scoped, research-heavy tasks rather than open-ended creative work.

Pricing runs on a credit model: a free tier with 300 daily credits, a Standard plan at $20 per month (4,000 credits), and a Customizable plan at $40 per month (8,000 credits). The main limitation to know going in: the agent does not retain memory between sessions, so every task starts fresh. Think of it as a highly capable contractor you brief from scratch each time, not a team member who knows your business. You can find it at manus.im.

What We're Watching

The OpenAI IPO Race

With Anthropic filing first, OpenAI is now reportedly preparing its own confidential S-1 submission, and the timing battle between the two companies could shape how much capital flows into the AI ecosystem for the next several years.

Agentic AI Governance

Only 11% of businesses that have experimented with AI agents have actually deployed them in production, largely because of unresolved questions around oversight, security, and accountability. The companies that figure this out first will have a real operational edge.

Microsoft's MAI Models vs. OpenAI

Microsoft's new in-house model family signals a deliberate effort to reduce reliance on OpenAI, which could increase pricing competition across the entire AI stack and ultimately drive costs down for small business users.

The "AI-Native" Hiring Standard

Founders are increasingly listing AI proficiency as a baseline expectation in job postings across every function, not just technical roles. The way companies define a strong hire is changing faster than most job seekers realize.

The Wrap(TLDR)

Anthropic filed for what could be a near-trillion-dollar IPO, and Microsoft unveiled seven new AI models at Build 2026, signaling that the AI infrastructure war is escalating. For small business owners, the data is no longer ambiguous: businesses deploying AI systematically are growing nearly twice as fast as those still in pilot mode. The biggest opportunity right now is not finding a new tool; it's picking your most time-intensive workflow and building a repeatable AI system around it. The window to be early is still open, but not for long.

If you want help designing AI workflows or understanding how these new models fit into your business, Big Creek Growth can help. Reply to this email and we will walk through it together.