OpenAI now serves over 400 million weekly active users, according to OpenAI. That number was 100 million just two years ago. Thibault Sottiaux, OpenAI’s head of product, recently told interviewers the world has crossed a threshold: people are no longer asking whether AI works. They are asking how to use it to win. That question is worth trillions of dollars. Most people will answer it wrong.
Why This Interview Matters Right Now
Sottiaux did not spend the interview hyping features. He said something more pointed. The world seems to be ready, he said, meaning consumers and businesses have stopped hesitating. The adoption curve has bent sharply upward, and product strategy at OpenAI is now built around that assumption.
This is not a small claim. According to McKinsey, generative AI adoption among businesses jumped from 33 percent in 2023 to 65 percent in 2024. The same report found that companies using AI for at least one core function reported cost reductions averaging 20 percent in that function. We are past the pilot stage. The companies running real AI workflows are now competing against companies still running pilots, and the gap between them grows every quarter.
Sottiaux’s comments come at a moment when OpenAI is pushing hard into agentic products, meaning AI that does tasks on your behalf without you having to prompt every step. ChatGPT memory, operator tools, and the new project features are all part of this push. The product philosophy has shifted from “assist the user” to “act for the user.”
The Part Nobody Is Talking About
Here is my take. Most people read this interview as a product update. I read it as a wealth transfer announcement.
When the head of product at the world’s most used AI platform says the world is ready, he is not talking about casual users asking ChatGPT for recipes. He is talking about operators. Builders. Business owners who are using AI to compress the cost of producing content, doing research, handling customer support, and generating code. That compression is margin. And margin is what separates businesses that scale from businesses that grind.
Here is what the poor mindset does with this news: reads the headline, thinks “cool,” and goes back to doing things the slow way. Maybe adopts one tool, uses it occasionally, and calls it a day.
Here is what the owner mindset does: asks, which part of my operation is most expensive per hour of human time, and what would it cost to replace half of that with AI this quarter? That is a spreadsheet question. It has a real answer. And in 2026, the answer almost always pencils out.
According to Stanford’s AI Index Report, AI has reduced the time to complete certain knowledge work tasks by an average of 40 percent for workers who use it consistently. That is not a marginal improvement. That is compressing a five day work week into three days, or doing the work of five people with three. Owners who see this as a cost story will protect margin. Owners who see it as a headcount story will miss the point entirely.
Sottiaux also pointed to something I found telling: users are no longer confused by AI. They expect it to work. That shift in user psychology means the competitive window for being an early mover is closing. The businesses that built AI into their workflows in 2024 and 2025 have a head start. If you are building video content for your brand, for example, tools like InVideo AI already let small teams produce polished video output at a fraction of what agencies charge. That cost gap is a structural advantage. Not a trend. A structural advantage.
What This Means for You
Here is what I would do right now.
First, map your cost structure. Look at every line item that involves paying humans to do repetitive tasks. Writing, summarizing, researching, scheduling, customer support scripts, social content. Every one of those is a candidate for AI compression, and the tools to do most of them already exist at low cost.
Second, stop treating AI as a bonus and start treating it as a baseline. Sottiaux’s point about readiness means the market has moved. Your competitors are not waiting to see if this works. The question is whether you are ahead of them or behind them.
Third, stack software costs against labor costs honestly. A lot of people balk at paying for AI tools because the monthly fee feels real and the labor savings feel abstract. Run the math. If a tool saves you four hours a week at your effective hourly rate, it pays for itself in days, not months. Sites like AppSumo regularly feature lifetime deals on AI tools that would otherwise cost hundreds per year, which makes the math even more obvious for builders watching their burn rate.
Fourth, think about what Sottiaux said about agentic AI. The next wave is not AI that helps you write a paragraph. It is AI that handles a workflow from start to finish. If you are not experimenting with multi-step agents in your business now, you will be playing catch up in 18 months.
According to Goldman Sachs, AI could add 7 trillion dollars to global GDP over the next decade. That money does not materialize evenly. It flows to the people and businesses that figure out where to plug in first.
The Bottom Line
Sottiaux’s interview was not a product announcement. It was a signal. The window where AI is a differentiator is shrinking. Soon it will be table stakes, like having a website or a CRM. The businesses winning right now are the ones treating AI as core infrastructure, not a side experiment. If you are still treating it as a curiosity, you are not behind a trend. You are behind the market.
Frequently Asked Questions
What did OpenAI’s head of product say about AI readiness?
Thibault Sottiaux said the world seems to be ready for AI to handle core functions, not just assist with tasks. He framed this as a shift in user psychology from skepticism to expectation, meaning businesses that have not adopted AI tools are now competing at a structural disadvantage against those that have.
How fast is OpenAI growing in 2026?
According to OpenAI, the platform surpassed 400 million weekly active users, up from around 100 million two years prior. That growth rate reflects both consumer adoption and a sharp increase in business and enterprise use cases as AI tools have matured.
What is agentic AI and why does it matter for business owners?
Agentic AI refers to systems that complete multi-step tasks on your behalf without requiring a prompt for every action. For business owners, this means AI that can research, draft, schedule, and publish content or handle workflows end to end. It is the next cost compression wave after basic AI writing and research tools.
Is it too late to get ahead of the AI curve?
No, but the window is narrowing. According to McKinsey, 65 percent of businesses used AI for at least one core function in 2024. The early mover advantage has not disappeared, but it is getting smaller. Starting now still beats waiting another year.
What types of business tasks are best suited for AI tools today?
Content creation, research summarization, customer support scripting, social media production, and basic data analysis are all well covered by current tools. According to Stanford’s AI Index Report, consistent AI users cut task completion time by an average of 40 percent in knowledge work roles, which makes any repetitive content or research function an immediate candidate.
