Google now produces over 25% of its new code using AI tools, with engineers reviewing it to make sure they are of quality. CEO Sundar Pichai shared this development during the company’s latest earnings call, explaining how it speeds up tasks for coding teams.
He said in a blog post, “We’re also using AI internally to improve our coding processes, which is boosting productivity and efficiency. Today, more than a quarter of all new code at Google is generated by AI, then reviewed and accepted by engineers. This helps our engineers do more and move faster. I am energised by our progress, and the opportunities ahead. And we continue to be laser focused on building great products.”
One of the tools driving this process is “Goose,” a system trained on 25 years of Google’s coding experience. It helps developers create products faster by handling repetitive tasks.
Although some employees are worried about job security, the company insists AI is not replacing workers. Instead, AI tools are made to support developers, so that their workloads are lighter and more manageable while helping projects move forward faster.
What AI Products Is Google Developing?
Google is currently building a number of AI-powered products, such as chatbots made for specific tasks, tools for automated note-taking, and features for YouTube creators. The new Pixel 9 smartphones also come with AI functionalities to improve user experiences and helping with everyday tasks.
A core element of these new tools is Google’s Gemini model, which powers smoother interactions across platforms like YouTube and Google Meet. This technology helps users enjoy faster services while reducing the effort needed to manage tasks manually.
Gemini has also been integrated with developer tools such as GitHub Copilot. This integration bridges AI across both consumer products and the technical tools businesses need, helping AI become a more practical part of daily operations.
How Is AI Driving Growth For Google Cloud?
Google Cloud reported a 35% revenue increase in the third quarter of 2024, bringing in around £8.78 billion. Many companies working with Google Cloud’s AI tools have seen faster workflows and reduced costs. LG AI Research, for example, cut its processing times in half using Google’s systems.
The Vertex platform, part of Google Cloud, helps companies create their own AI models to match specific needs. Businesses such as Snap and Hiscox have improved their services by building customised AI tools. This encourages more businesses to use Google’s cloud services, with existing customers expanding their use of AI services.
Google’s AI-powered cybersecurity solutions are also gaining traction. Clients like Deloitte use these tools to detect and respond to cyber threats faster as a way to improve their ability to stay secure.
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How Is Google Improving Search With AI?
Google’s new AI tools are changing how people search for information. One example is the “AI Overview” feature, which helps users ask more detailed questions and get better results. This tool is now available across more than 100 countries, serving over a billion people every month.
Another innovation that has been out for a minute now, Circle to Search, is available on 150 million Android devices. It allows users to search visually by drawing circles on parts of images, making it easier to shop or gather information. Many users have already made this part of their routine, showing its usefulness in everyday searches.
Google Lens, which now processes over 20 billion visual searches a month, is also an important and necessary tool. It helps people identify products, solve questions, and explore content through photos. These developments show how search is becoming more visual for users around the world.
What Is Google’s Long-Term Vision With AI?
Google continues to build advanced infrastructure to support AI research and new product development. The company has signed agreements to power its data centres with nuclear energy as a way to keep at using sustainable technology.
The Gemini model now powers a few of Google’s core platforms, such as Maps and YouTube, serving billions of users every month. This technology is also available to developers outside Google, extending its use across industries and applications.
At Google DeepMind, the research team is leading the way by building more advanced AI models. One of their future projects, “Astra,” intends to create new kinds of user experiences, with plans to launch these features as early as next year.
