Skip to main content

We stopped playing with AI and started hiring it. Here is the proof.

The "Toy" Phase is Over: What 2025 AI Data Actually Says About Your Business

If you have been waiting to see if Generative AI was just a "crypto-style" bubble, the results are in. It is not.

Two major reports dropped this week—one from the builders (OpenAI) and one from the investors (Menlo Ventures). When you strip away the technical jargon about "tokens" and "inference," a clear story emerges for business leaders: 2025 is the year AI graduated from "Intern" to "Infrastructure."

1. The "Excel Gap" is Real

Remember when some people used Excel just to make lists, while others used it to run billion-dollar financial models? We are seeing the exact same split with AI.

OpenAI's data shows a massive divide. The "Frontier" users (the power users) are not just chatting a little bit more; they are sending 6x more messages than the average employee. These employees are saving nearly an hour every single day.

The "So What" for HR

You don't have an "AI adoption" problem; you have a "Power User" problem. Your company likely has 5% of staff who are operating at 10x speed, while the other 95% are using it like a glorified spellchecker. Bridging this gap is your biggest training opportunity in 2026.

2. We Stopped "DIY" and Started Buying

In 2023, every CIO wanted to build their own AI model. It was the cool thing to do. Today, that vanity is gone.

Menlo Ventures reports that 76% of enterprise AI is now purchased (SaaS) rather than built in-house. Companies realized that building your own AI infrastructure is like building your own power plant to run a toaster. It is expensive and unnecessary. The market has shifted to buying finished, reliable software that just works.

3. From "Chatbot" to "Coworker"

The biggest shift in the data is how we talk to the AI. We used to ask questions ("Write me an email"). Now, we are delegating workflows ("Analyze this spreadsheet, write the summary, and format it for the board").

OpenAI calls this "Agentic workflows". It means the AI isn't just a Chatbot anymore; it is acting like a junior analyst. The data shows distinct tasks (coding, analysis, writing) are merging into single, complex requests.

Leadership Challenge: Ask your team, "Are we buying AI tools, or are we hiring AI agents?" The difference is whether you are paying for software or paying for outcomes.

Sources

Shashi Bellamkonda
About the Author
Shashi Bellamkonda

Connect on LinkedIn

Disclaimer: This blog post reflects my personal views only. AI tools may have been used for brevity, structure, or research support. Please independently verify any information before relying on it. This content does not represent the views of my employer, Infotech.com.

Comments

Shashi Bellamkonda
Shashi Bellamkonda
Fractional CMO, marketer, blogger, and teacher sharing stories and strategies.
I write about marketing, small business, and technology — and how they shape the stories we tell. You can also find my writing on Shashi.co , CarryOnCurry.com , and MisunderstoodMarketing.com .