Greetings,

Google has been racing to catch up with OpenAI in AI, but its latest conversational AI model, Gemini, seems to be falling short for developers. Despite improvements, developers report that using Gemini is far more complicated and time-consuming than using OpenAI.

In her latest piece, Erin Woo dives into why AI developers are choosing alternatives, and what this means for Google's AI cloud business.

What caught my eye:

• Google needs developer feedback to improve Gemini, but many are opting for easier-to-use models from OpenAI and Anthropic.
• Aidan McLaughlin, founder of Topology, said it took him four hours to set up Gemini, versus 30 seconds for OpenAI.
• The adoption challenges could have broader implications for Google's cloud and AI strategies.

I hope you find the article valuable.

Jessica Lessin
Founder & Editor-in-Chief

Why AI Developers Are Skipping Google's Gemini

One of Google's efforts to catch up to OpenAI in the artificial intelligence race is struggling.

Google's conversational AI, Gemini, is too difficult for app developers and businesses to use compared to rivals' technology, according to interviews with developers and several Google employees that help companies use the AI.

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