Big Creek Briefing

AI to the World Stage

Welcome to this week's Big Creek Briefing.

This week was a rare convergence: the three biggest AI company CEOs sat down with world leaders at the G7, Anthropic made one of the boldest financial moves in tech history, and OpenAI quietly dropped a safety tool that signals where the whole industry is heading. On the ground level, the data keeps telling the same story for founders and small business owners: AI is no longer a future thing. It is a right-now thing, and the gap between businesses using it well and those still experimenting is growing fast. Here is what you need to know.

Let's jump in!

AI Joke of the Week

A founder asked an AI to "act like a senior developer."
It immediately told him the deadline was unrealistic and went on vacation.

Big Stories of the Week

The AI CEOs Go to the G7: Sam Altman (OpenAI), Dario Amodei (Anthropic), and Demis Hassabis (Google DeepMind) all attended the G7 Summit in Evian-les-Bains, France this week, June 15-17, making it the first time all three rival AI lab CEOs appeared before world leaders together. The central agenda: AI governance, youth online safety, and how to ensure a "safe, rapid, and effective deployment of artificial intelligence" globally. For founders, this is the clearest signal yet that AI regulation is moving from think-piece territory to actual policy, and that the companies shaping those conversations are the same ones whose tools you use every day.
Anthropic Files for IPO at a $965 Billion Valuation:
Anthropic confidentially filed for its IPO with the SEC on June 1, 2026, targeting an October Nasdaq listing expected to raise over $60 billion. This came days after the company closed a $65 billion Series H funding round at a $965 billion valuation, with annualized revenue hitting $47 billion by May, a 5x increase from January. What does this mean for you? The AI infrastructure you are building your business on is maturing into a category of permanent, public-market-level institutions, which means more accountability, more stability, and very likely more competition to provide better tools at lower prices.
OpenAI Introduced "Deployment Simulation" for Safer AI Releases: On June 16, OpenAI announced a new safety research method called Deployment Simulation, which rehearses how a model would behave by running it through real, de-identified past conversations before it ever reaches customers. The research analyzed roughly 1.3 million conversations spanning multiple GPT models to surface failure modes that traditional testing misses. For small business owners relying on AI tools, this is a meaningful development: it means the models in your stack are being stress-tested against realistic, messy real-world usage, not just clean benchmark scenarios.

Main Insights

Small Biz actually Using AI

Small businesses are no longer dipping their toes into AI. According to the SBE Council's 2026 Small Business Tech Use Survey, 82% of small business employers have now invested in AI tools, and over two-thirds use AI regularly across daily operations. The average small business saves 5.6 hours per week through AI use, with business owners themselves saving over 7 hours per week. The ROI data is equally striking: the average return on AI tool investment for small businesses is 3.7x. The takeaway is not that you should try AI. The takeaway is that if you are not using it systematically yet, your competitors likely are.

Founder Insights

Agentic AI is the next frontier, and small and mid-sized businesses are actually moving faster on it than large enterprises. Recent data shows that mid-market companies and SMBs are reporting higher year-over-year growth in agentic AI adoption than their Fortune 500 counterparts, largely because smaller teams can move, test, and iterate without layers of approval. The practical implication is significant: founders who build agentic workflows now (AI that does multi-step tasks autonomously, not just answers questions) will have a compounding advantage that is hard to reverse-engineer 18 months from now. If your AI stack today is mostly chat-based, it is worth asking which repeatable workflows in your business could run on autopilot with a human review checkpoint at the end.

Quick Hit: One Prompt to Simplify Your Week

"Act as a skeptical advisor who has seen 200 early-stage companies fail. I am about to [describe your decision]. Identify the three most likely ways this goes wrong, the assumption I am most likely making that is incorrect, and one alternative approach I have probably not considered. Be direct and do not hedge."

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

AI Tool Spotlight: Emergent

If you have ever had a product idea but no engineering team to build it, Emergent is worth a serious look. It is an AI-powered app builder that handles backend setup, authentication, hosting, databases, and payments inside a single workflow. You describe what you want in plain language, and Emergent builds a functioning full-stack product, not a prototype you have to hand off to a developer to finish. It was built by ex-Google, Amazon, and Dropbox engineers, backed by Y Combinator, and raised a $70 million Series B in January 2026.

For founders and small business owners, the pitch is straightforward. If you have been sitting on a tool you want to build for your own operations, a client portal, an internal dashboard, a simple SaaS product, or a landing page connected to real logic, Emergent dramatically lowers the barrier. You do not need to hire a developer to validate whether the idea works. You can ship a version, get it in front of real users, and make a more informed decision about whether to invest further.

Pricing runs on a credit model: a free plan includes 10 credits, a Standard plan is $20 per month for 100 credits, and a Pro plan is $200 per month for 750 credits. Most solo founders testing ideas start on Standard. The credit model can burn fast if you iterate heavily, so it is worth scoping your build before you start. You can find it at emergent.sh.

What We're Watching

AI governance becoming legally binding

The G7 meetings this week started as voluntary commitments, but the tone from European participants in particular suggests that meaningful cross-border AI regulation with real teeth is closer than most founders currently assume.

The open-source model surge

Smaller open-source models are winning in regulated industries and narrow use cases where privacy, cost, and customization matter more than raw benchmark scores. This is creating real opportunities for founders to build specialized vertical AI products without depending on the big labs.

AI agent workflows in production

The conversation is shifting from "can AI do this?" to "how do we manage it when it does?" Expect to see a new category of agent monitoring and oversight tools emerge quickly to serve businesses running autonomous AI workflows.

The AI IPO wave starting

Anthropic's filing is likely the first domino. As more AI infrastructure companies go public, the capital flowing into the space will intensify, prices may shift, and the tooling available to small businesses will keep expanding faster than most people are prepared for.

The Wrap(TLDR)

This week, all three major AI lab CEOs sat with world leaders at the G7, signaling that AI governance is entering a new phase. Anthropic filed for IPO at a $965 billion valuation, a sign that the AI infrastructure layer is maturing into permanent institutions. On the ground, 82% of small businesses now use AI, and the average ROI is 3.7x, so experimentation is no longer the right posture. Agentic AI is where the real competitive edge is forming next, and founders who build those workflows early will be hard to catch.

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.