Google’s Gemini 3 forces OpenAI into emergency mode

For most people in the last three years, choosing an AI tool was simple. But now that Google has released Gemini 3, a model that’s faster and smarter than before, that choice is no longer that straightforward.

The change is big enough that OpenAI has reportedly declared a code red. They have paused some of their future projects to focus entirely on fixing and improving their current product. And Google is no longer playing catch-up. It’s using its own custom chips and building software, while reportedly putting pressure on OpenAI.

Why is OpenAI changing its plans?

To understand why OpenAI is worried, you have to look at the user numbers. While ChatGPT is still the leader with about 900 million weekly active users, Google is growing fast. Gemini’s user base went from 450 million to 650 million in just three months.

OpenAI leadership appears to have realized that future ideas do not matter if people stop using the main product today.

Reports say they have stopped work on long-term projects like Sora 2 (their video generator) and the Pulse personal assistant. Instead, they are moving their teams to work on ChatGPT because Google’s product is improving. For some tasks, it is already performing better.

Software update: Deep Think and Antigravity

OpenAI is reacting to specific features in Gemini 3 that change what we expect AI to do at work. The new model includes two main updates:

Deep Think

The first major update is a feature Google calls Deep Think. It’s a reasoning model built to solve difficult problems. In a test called Humanity’s Last Exam — which is designed to be very difficult for AI — Gemini 3 scored 41% without using outside tools.

That number might sound low, but it is a much higher score than other models achieved on logic tasks. This means that for complex questions, Gemini is less likely to make mistakes than previous versions.

Antigravity

The bigger change for software teams is the Antigravity platform. While most coding assistants today act like a spellcheck (suggesting lines of code), you still have to do the work. But Antigravity works more on its own.

It can look at a whole project, understand what the developer wants to do, and then write, test, and fix the code without needing constant help. This helps teams build software faster and with fewer errors.

Hardware difference: Google’s custom chips

While the software features get the attention, the real competition is happening in the data centers. This is where Google has an advantage that OpenAI cannot easily copy.

To run ChatGPT, OpenAI has to buy expensive chips (GPUs) from Nvidia. This means they rely on an outside supplier and have to pay market prices. But Google builds its own chips.

For over ten years, Google has been designing its own AI chips, called TPUs. Their newest version, Ironwood, allows Google to run models like Gemini 3 more efficiently than others who use standard hardware. This gives Google two big benefits (and investors see it as a major strength):

• Cost: Since they make their own chips, they don’t have to pay extra fees to other companies.

• Speed: The hardware is built specifically for their software, so it runs faster.

Matching the tool to your needs

Different roles look at these AI changes in different ways.

A solo creative or writer might still prefer ChatGPT. It has a familiar conversational style, and for many creative tasks, the differences in logic do not matter as much as the style of the writing.

However, for a Google Workspace user, the choice is becoming clearer. Gemini 3 connects with Docs, Drive, and Gmail much better than outside tools can. Being able to ask questions about your own private documents within the same platform saves a lot of time.

Plus, the Antigravity platform suggests that building software is getting cheaper. If you have been waiting to build an internal tool because hiring engineers is too expensive, the new automated agents in Gemini might make those projects possible today.

Getting started and where Revolgy fits in

Ready to test if it is time to switch? Start with a simple experiment. Here are the steps to take:

1. Check your current costs. If you pay for ChatGPT Plus or Team, note the price and the features you actually use.

2. Run a side-by-side test. Google users can often try Gemini Advanced for a trial period. Pick a real work task—like analyzing a spreadsheet or writing code—and run it through both tools.

3. Check the security. Does keeping your data inside your existing Google Workspace offer better security than pasting it into a third-party chat window?

4. Review the results. If the trial shows that Gemini offers better logic or integration, it might be time to bring everything under one roof.

Revolgy can help. The team has guided many organizations through Workspace licensing, identity setup, and the use of AI tools.

Revolgy can recommend the right plan, help you manage data security settings for Gemini, and ensure your team knows how to use these new features. Even if you stay with OpenAI, Revolgy can help you set up your cloud environment to support your AI strategy. Schedule a free consultation today.