Big Creek Briefing

AI Crashing on the Workforce

Welcome to this week's Big Creek Briefing.

This week, AI stopped being background noise and started reshaping the ground under people's feet. A major corporation cut 21,000 jobs and named AI as the primary cause. Google quietly launched an incubator to keep its most talented former employees inside its orbit. And for small business owners, the data is now crystal clear: AI adoption is not a "nice to have" any longer. It is the difference between a business that scales and one that gets left behind. Here is what happened this week and what it means for you.

Let's jump in!

AI Joke of the Week

Claude saved me 10 hours this week. I spent 9 of them reading about new AI tools.

Big Stories of the Week

Oracle Cuts 21,000 Jobs and Points Directly at AI: Oracle shed nearly 13% of its global workforce over the past year, roughly 21,000 people, and its regulatory filing made no attempt to soften the reason: the company explicitly cited the adoption and deployment of AI across operations as the cause. The company warned this is not over, with more workforce reductions likely as internal AI deployment continues to grow. For small business owners, this is the clearest signal yet that the workforce transformation is not theoretical. AI is replacing work at scale, and the companies building with AI are the ones doing the cutting, not the ones getting cut.
Google Launches AI Incubator for Former Employees:
Google is backing a 12-week incubator for "Xooglers," former Google employees now building AI startups. The program offers up to $350,000 in Google Cloud and AI credits plus $100,000 in direct funding, with 10 to 20 startups selected for the first cohort. The move is a direct response to the talent exodus happening across Big Tech, as alumni from Google, DeepMind, OpenAI, and Anthropic are raising hundreds of millions before shipping anything. For founders, this signals something important: the edge in 2026 belongs to people who have built things before, and the big players are now actively chasing that talent rather than watching it walk out the door.
The AI Model Race Just Got More Complicated: Claude Fable 5 launched on June 9 as one of the most capable models ever released, immediately took the top spot on multiple reasoning benchmarks, and then was pulled on June 12 after a US government export control directive. It has since returned, but the episode exposed a new reality for founders building on top of AI models: the tools you depend on can be switched off by geopolitical decisions, not just product updates. Between GPT-5.5 (launched in April with a 60% drop in hallucinations) and Google's Gemini 3.5 Pro entering limited preview, the AI arms race is producing genuinely better tools faster than most founders can keep up with.

Main Insights

AI usage in Small Biz get more solid

The numbers on small business AI adoption are no longer soft projections. According to the 2026 SBE Council Small Business Tech Use Survey, 82% of small business employers have now invested in AI tools, and 68% of US small businesses use AI regularly, up from 48% just two years ago. The productivity gains in the data are real: AI-using companies report 26 to 55% productivity gains in the functions where AI is actually deployed, and the average small business using AI tools saves 5 to 15 hours per week on content work alone. The practical takeaway is that the gap between businesses using AI well and those still experimenting is starting to compound. The typical AI-using small business now runs a median of five AI tools, meaning the question has shifted from "should I try AI" to "how do I build a real stack."

Founder Insights

The shape of small teams is changing, and founders who understand this early have a structural advantage. Agentic AI job postings grew 280% year over year, which tells you where enterprise attention is going, but the same dynamic applies to small businesses: the founders who treat AI agents as additional team members rather than tools are building a new kind of leverage. PwC and Deloitte are both describing what they call a "diamond-shaped" workforce, where the old pyramid base of entry-level workers shrinks and the middle layer shifts to managing AI systems rather than doing repetitive work. For a solo founder or small team, this is not a threat. It is a blueprint. Building a business where you and a few humans manage AI doing the high-volume work is now more accessible and more defensible than hiring headcount to do the same tasks.

Quick Hit: One Prompt to Simplify Your Week

"I need to create a standard operating procedure for [task you do repeatedly]. Ask me questions about how I currently do this task, what the ideal output looks like, and where things typically go wrong. Then write a step-by-step SOP I can hand off to a team member or use to train an AI tool to do this for me."

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

AI Tool Spotlight: Lovable

What It Does

Lovable is an AI-powered full-stack app builder that turns plain English descriptions into working web applications. You describe what you want to build in a chat interface, and Lovable generates the complete codebase: frontend, backend, database, and authentication, then deploys it with a single click. No code required, no developer needed, no waiting on a tech co-founder to have bandwidth.

Why It Matters for Founders and Small Business Owners

For anyone who has ever had a custom tool idea, a client portal concept, or a simple internal dashboard in mind but stalled out because building it required a developer, Lovable is a genuine unlock. Founders are using it to build MVPs in hours instead of weeks, prototype customer-facing tools before investing in development, and automate internal workflows that off-the-shelf software never quite fits. It connects to 400 tools via n8n, so you can layer in email sending, CRM syncing, and AI-powered features like chatbots and text analysis without writing a single line. The barrier between "I have an idea" and "I have a working product" has never been lower.

Pricing and Where to Find It

Lovable offers a free tier with 5 credits per day, which is enough to test and prototype. Paid plans start at $25 per month for the Pro tier with 100 credits per month. You can find it at lovable.dev.

What We're Watching

Environmental pressure on AI data centers

The UN Secretary-General called on AI companies this week to disclose their environmental impact, including emissions, water use, and energy sources. Regulation in this space feels closer than it did six months ago.

China's supercomputer leap

China's Arm-based LineShine system passed the US El Capitan to become the world's fastest supercomputer on the latest Top500 ranking, a signal of accelerating infrastructure competition that will shape AI capabilities globally.

Vertical AI startups raising before shipping

Companies founded by former Google, DeepMind, and OpenAI researchers are raising nine-figure rounds before a single product ships. The bet is entirely on team pedigree. This tells you something about how much market confidence is backing AI right now, and how fast things could move when those products actually land.

The skills gap widening

IDC projects that 90% of global enterprises will face critical AI skills shortages by 2026, with $5.5 trillion in potential losses on the table. For founders building services businesses or fractional consulting practices, this is a revenue opportunity, not just a headline.

The Wrap(TLDR)

Oracle cut 21,000 jobs and explicitly credited AI. Google is paying ex-employees to build AI startups. And 82% of small businesses are already using AI tools regularly. The window between "early adopter" and "catching up" is closing fast. Build your stack, run your SOPs through AI, and start thinking of agents as team members, not gadgets.

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.