Influencers See Google Gemini 3 As a Game-changer in Enabling Autonomous Agentic Workflows

Gemini 3 dominated influencer discussions on social media platform ‘X’ in mid-November 2025, as Google executed a comprehensive release of its latest model, integrating advanced reasoning, coding, and multimodal capabilities to facilitate complex creation and problem-solving. The buzz was particularly intense because the rollout was a full ecosystem integration, embedding the new capabilities directly into search engines, consumer apps, and a newly unveiled development platform dubbed Antigravity, reveals the Social Media Analytics Platform of GlobalData.

Shreyasee Majumder, Social Media Analyst at GlobalData, comments: “The sentiment among influencers has been largely euphoric, focusing heavily on the model’s ability to effortlessly generate complex software and perform rigorous logical deduction. Influencer voices expressed amazement at the system’s capacity to build functioning 3D simulations and interactive games on the first attempt, signaling a shift from simple conversational assistants to autonomous agents that can plan and execute long-term tasks.

“The model’s specialized reasoning variant received praise for solving highly difficult academic benchmarks and visual puzzles that previously stumped AI systems. However, a notable segment of the discussion centered on the cost structure, with several influencers criticizing the price per token as prohibitively high compared to more affordable competitor alternatives.”

Below are a few popular influencer opinions captured by GlobalData’s Social Media Analytics Platform:

1.  Matt Hamilton, Full Stack Developer at GovTech Barbados Ltd:

“Playing with Gemini 3 this evening in OpenCode, and the level of reasoning it is doing really is pretty damn impressive. This is just a fraction of an entire debate it was having with itself, reasoning over why an HTML form element was not being selected properly”

“Google absolutely fumbled Gemini 3. They keep brute-forcing progress by hurling absurd amounts of compute at the model… and the result shows. The thing is so insanely expensive it might as well come with a mortgage. Gemini 3 pricing: 2 to 4 dollars for INPUT 12 to 18 dollars for OUTPUT all for tiny 200K chunks…”

“Gemini 3 is here! The most exciting part of this model is the long horizon planning capabilities. This is going to unlock complex agentic applications, the likes of which we have never seen. Vibe coding insane applications in one shot, proactive agents that expand our knowledge at unprecedented rates, and agents that lead to major scientific discoveries. It’s really on!”

“I am calling it: Gemini 3 Pro Preview is close enough to call AGI, at least for the digital, non-physical world. I just asked for a complex Haskell app and Gemini 3 Pro one-shot wrote it. It looks like Google AI Studio also build and ran the code because it showed sample output that is identical to the output from running the generated Haskell code on my laptop.”

“I asked Gemini 3 Pro to create a 3D LEGO editor. In one shot it nailed the UI, complex spatial logic, and all the functionality. We’re entering a new era.”

“I played with Gemini 3 yesterday via early access. Few thoughts – First I usually urge caution with public benchmarks because imo they can be quite possible to game. It comes down to discipline and self-restraint of the team (who is meanwhile strongly incentivized otherwise) to not overfit test sets via elaborate gymnastics over test-set adjacent data in the document embedding space. Realistically, because everyone else is doing it, the pressure to do so is high…”