Google clearly has high hopes for Gemini 3 in the coding domain. Along with the new model, the company has released Google Antigravity, a new agentic development platform that will likely compete with fast-growing startup Cursor, which sells its own AI-powered integrated development environment (IDE).

It’s been 24 hours since tech giant Google ($GOOGL) launched its newest AI model, Gemini 3, and early feedback has been very positive. More

Alphabet shares rallied on Wednesday after investors cheered the release of Google's new Gemini 3 AI model. Google said Gemini 3 allows users to get better answers to more complex questions and doesn't need as much prompting to determine the context and intent behind their requests.

Google released Gemini 3 on Tuesday, rolling out what it calls its most advanced AI model across its entire ecosystem. The release also includes a new coding platform called Antigravity, and for the first time, Google integrated its newest Gemini model into Search on launch day.​

The new artificial intelligence model is the second the company has released this year. OpenAI and Anthropic made similar updates a few months ago.

Google’s Gemini 3 release comes less than a week after OpenAI released GPT 5.1 and a mere two months after Anthropic released Sonnet 4.5.

Phoenix, AZ - Five major AI platforms have independently acknowledged a critical AI monetization crisis: businesses seeking commercial persuasion capabilities are abandoning AI systems that cost $100 billion to build, and the revenue loss is quantifiable and massive, according to ADMANITY ® CEO Brian Gregory.

Gemini 3 marks a massive leap in reasoning and multimodal intelligence, emerging as Google’s most advanced and capable AI model yet.

Yesterday, a number of platforms like X and ChatGPT went down due to a massive outage with Cloudflare. Users on these platforms were affected as the pages stopped loading or became slow.

Anthropic Claude outlined the enterprise transformation: "For Anthropic, this represents a shift from general-purpose AI to mission-critical revenue infrastructure, justifying premium pricing ($75-150/month) and creating defensible enterprise moat that competitors would struggle to replicate without acquiring equivalent emotional intelligence IP."