Put AI to Work

AI Agents Are No Longer Optional

Here's what that means for your business — and what to do about it this week.

Issue #4  ·  July 13, 2026

Three out of four small businesses are now using AI regularly. The ones that aren't are already competing at a disadvantage — and that gap is growing faster than most people realize.

This issue is about where things actually stand right now, what it costs to get AI wrong, and two specific things you can do before the end of the week.

In This Issue

Story 01

77% of SMBs Are Using AI. Here's What You're Missing.

The problem. If you're not actively using AI agents in your business right now, you're not waiting for the technology to catch up. It already has. As of mid-2026, 77% of small businesses report using AI regularly — up from roughly 60% just months ago. Of those, 78% say their productivity has measurably improved. This isn't enterprise-level adoption happening far away from you. It's your competitors, your industry, your customers' expectations.

The businesses getting ahead aren't doing anything exotic. They're using AI for the same tasks you already do every day: customer engagement, marketing, content creation, financial management, and admin work. They've just stopped doing those tasks manually.

The tool. The clearest on-ramp right now is the ChatGPT Work Agent. OpenAI built it specifically for autonomous, multi-step task execution — meaning you give it a goal, and it figures out and executes the steps to get there, across your apps and documents, without you supervising each move. This isn't a chatbot that answers questions. It's a system that does work.

Enterprise teams are validating this at scale — 84% plan to increase AI agent investment this year specifically because autonomous workflows are delivering real ROI. That validation is your signal. What enterprises are confirming with large budgets, you can access today at a fraction of the cost.

How to start. The barrier is lower than you think. You don't need a technical background. You need a task and a goal.

One thing you can do today: Open ChatGPT Work Agent and give it one of these starting tasks:

What to expect. Your first result won't be perfect. That's normal. The value isn't in a flawless first output — it's in getting a strong draft in two minutes instead of twenty. Edit it, refine your prompt, and run it again. Within a few sessions, you'll have a repeatable workflow that runs in the background while you work on something else.

2026 is the year autonomous task execution became a standard product feature. You don't need to wait for it to be ready. It's ready now.

Story 02

Running AI Cheaper Is the New Competitive Advantage

The problem. Most small business owners assume AI is expensive to run. The real problem is subtler: it's easy to run AI expensively without realizing it. Hidden infrastructure costs — the compute, storage, and API overhead behind AI deployments — make up 60 to 70% of total AI spend in most organizations. Most people never see that number because it doesn't show up as a line item. It just shows up as a bill that's higher than expected.

Enterprises are now treating cost optimization as a strategic priority — it has its own conference tracks, its own frameworks, its own dedicated teams. They're spending significant effort retrofitting cost-efficiency into systems they built fast during the AI rush.

You have an advantage they don't: you're starting now. You can build it in from day one.

The solution. Cost-efficient AI isn't about using less AI. It's about using the right model for the right job. The AI market has consolidated around four dominant vendors — OpenAI, Anthropic, Google, and Microsoft. Each offers a range of models at different capability and price tiers. The mistake most people make is defaulting to the most powerful (and most expensive) model for every task, even simple ones.

A simpler model handles a routine email draft just as well as the top-tier version. The difference in output quality is negligible. The difference in cost per task is not.

How to implement. Before you add another AI tool or expand what you're already using, run this three-question audit on your current setup:

Two additional levers worth using: batch similar tasks together rather than running them individually (reduces per-task overhead significantly), and use prompt caching where your tools support it — it stores frequently used instructions so the model doesn't reprocess them each time.

The result. SMBs that approach AI spend deliberately — choosing a primary vendor stack, matching model capability to task complexity, and eliminating redundant tools — run leaner than enterprises that built first and audited later. That cost discipline becomes a durable advantage as AI costs become a standard operating expense across every business category.

Tool Spotlight

Chatbase

No-code AI agent builder for small business

Chatbase lets you build a custom AI agent without writing a single line of code. Connect your data source (a document, a website, a product FAQ), customize how the agent responds, and deploy it — to your website, your customer inbox, or your team's workflow. Three steps, no developer required.

It's built specifically for business owners who want the output of a custom AI agent without the technical build. Use it to handle customer questions, qualify leads, or answer internal team queries — automatically, around the clock.

Who it's for: Any SMB owner who wants a custom AI agent answering customer or team questions without building one from scratch.
Cost: Free plan available; paid plans start at $19/month.
Start here: chatbase.co

That's Issue #4.

More is coming. Each week this newsletter covers a new set of tools, use cases, and decisions that matter specifically to small business owners building with AI. There's a lot of ground to cover — and we're just getting started.

If this issue was useful, forward it to another business owner who's on the fence about AI. The best way to grow this community is one good recommendation at a time.

— Put AI to Work