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In a bold move, Google will be letting go of 30,000 more workers as AI technology increasingly dominates the ad sales landscape.

In Brief

The tech giant is planning a significant restructuring of its ad sales team, which comprises around 30,000 individuals, as it seeks to integrate AI more deeply into its business processes.

Tech giant Google Reportedly, the company is contemplating a significant reshuffle within its sizeable ad sales division, indicating a shift toward a more AI-driven approach in its operations. This has sparked concerns regarding possible job losses, especially given the recent layoffs affecting over 12,000 employees earlier this year. integration of AI Media reports suggest that this restructuring aligns with Google’s strategy to harness machine learning techniques, aiming to boost efficiency in ad purchases across its various platforms.

Over time, Google has automated the process of creating new advertisements, which has played a substantial role in generating its annual revenue, estimated to be in the tens of billions. The effectiveness of these automated tools, requiring very little human input, has allowed the tech giant to achieve impressive profit margins.

The company introduced AI-powered tools According to a report by The Information, the advancements in AI at Google may result in job displacements, driving the company to consider consolidating teams and potentially reducing staff numbers. The primary focus will likely be on reassigning employees within the sales unit that manages relationships with major advertisers.

This information was apparently shared in a company-wide meeting for Google Ads, where the automation of certain positions was a key topic of discussion.

Back in May, Google announced the start of a new chapter in AI-enhanced advertising, introducing a natural-language conversational interface for Google Ads. This initiative is designed to streamline the ad campaign creation process by leveraging AI to automatically generate elements like keywords, headlines, descriptions, images, and more.

AI is Simplifying Ads Creation

Google's Performance Max tool (PMax), which is powered by generative AI, has seen enhancements that allow for rapid creation and scaling of custom advertising assets. As tools like PMax gain traction among advertisers, there’s a clear decline in the necessity for human involvement in ad design and sales, making ad revenue generation more cost-effective.

The planned reorganization is likely to affect a large segment of the ad team's workforce, which had about 13,500 sales staff a year ago. While the full extent of this impact is still unknown, employees may expect some role realignments within Google soon. AI tools An official announcement detailing the scale and specifics of the upcoming restructure is anticipated next month, leaving employees eager yet anxious about potential changes ahead for their roles and responsibilities during this transitional period.

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Kumar is a seasoned Tech Journalist skilled in navigating the evolving landscapes of AI and Machine Learning, marketing technology, and the burgeoning areas of cryptocurrency, blockchain, and NFTs. With over three years in the field, Kumar has honed a reputation for crafting engaging narratives, conducting enlightening interviews, and providing in-depth analyses. Their expertise lies in producing impactful content, from articles and reports to research publications for leading industry platforms. Thanks to a unique blend of technical know-how and narrative skills, Kumar excels at breaking down complex technological ideas for a broad audience.

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Google is set to let go of an additional 30,000 employees as automation and AI play a larger role in its advertising sales sector, according to a report by Metaverse Post.

Know More

The tech giant is planning a major shake-up within its extensive team of 30,000 workers who focus on ad sales, taking significant strides toward a more AI-centric operational model.

In light of increasing automation in advertising, Google may soon part ways with 30,000 employees, emphasizing AI's growing dominance over traditional job functions in this space.

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