How Google plans to integrate generative AI into all its products
Posted: Wed Apr 23, 2025 3:23 am
In the race for Artificial Intelligence (AI), Google, despite its many years of research in this sector, has been left behind by ChatGPT. But the company, which has been investing in AI for years, has not said its last word. Admittedly, the company went through a period of uncertainty, during which the Mountain View giant hastily unveiled Bard, its alternative to ChatGPT, without the expected success . But the company is said to have a real battle plan: to put generative AI – software capable of producing its own text, images or videos – into its most important products and services, Bloomberg reported on Wednesday, March 8.
Contrary to popular belief, Google didn't start pakistan mobile database on AI after the launch of ChatGPT. It has been investing in research for years and has even been a pioneer in the field. The company has already integrated AI into its consumer products like Gmail and Google Photos. This technology helps users, for example, write emails and organize images. But since the ChatGPT wave, things have changed in Silicon Valley. Mark Zuckerberg himself has even reportedly abandoned his metaverse to focus on this technology. And at Google, the focus on AI is reportedly even more pronounced.
Transforming years of research into commercial success
As proof, a "code red" reportedly accompanies this new internal directive. Its message: to get back on track, Google's most important products—those with more than a billion users—must integrate generative AI in the coming months. And this acceleration is already underway, as the company announced in March that creators on its YouTube video platform would soon be able to use the technology to, for example, virtually change their outfits.
This isn't the first time Google has deployed internal guidelines to encourage its employees to focus on a project. In 2011, Google+, the social network that never achieved the expected success, was the subject of such a plan—here too, each of the company's key products was supposed to have a social counterpart. The project was ultimately halted in 2018. This time, the main focus would be on encouraging employees to test the company's AI tools internally, a company spokesperson told our colleagues.
It's understandable that the digital giant is gearing up to turn its years of AI research into commercial success. But contributing to the development of a revolutionary technology and reaping billions of dollars in profits from it are two different things, our colleagues point out.
Contrary to popular belief, Google didn't start pakistan mobile database on AI after the launch of ChatGPT. It has been investing in research for years and has even been a pioneer in the field. The company has already integrated AI into its consumer products like Gmail and Google Photos. This technology helps users, for example, write emails and organize images. But since the ChatGPT wave, things have changed in Silicon Valley. Mark Zuckerberg himself has even reportedly abandoned his metaverse to focus on this technology. And at Google, the focus on AI is reportedly even more pronounced.
Transforming years of research into commercial success
As proof, a "code red" reportedly accompanies this new internal directive. Its message: to get back on track, Google's most important products—those with more than a billion users—must integrate generative AI in the coming months. And this acceleration is already underway, as the company announced in March that creators on its YouTube video platform would soon be able to use the technology to, for example, virtually change their outfits.
This isn't the first time Google has deployed internal guidelines to encourage its employees to focus on a project. In 2011, Google+, the social network that never achieved the expected success, was the subject of such a plan—here too, each of the company's key products was supposed to have a social counterpart. The project was ultimately halted in 2018. This time, the main focus would be on encouraging employees to test the company's AI tools internally, a company spokesperson told our colleagues.
It's understandable that the digital giant is gearing up to turn its years of AI research into commercial success. But contributing to the development of a revolutionary technology and reaping billions of dollars in profits from it are two different things, our colleagues point out.