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AI study for the automotive sector highlights advances in operational efficiency and customer experience with the application of technology generating more than one million new jobs in the sector by 2025 .

According to the estimate , by 2029 , more than 60 % of cars will be powered by AI – improving both operational efficiency and customer experience .

In an industry marked by high competitiveness and a constant demand for innovation , Globant has identified significant challenges , such as inefficiencies in internal processes and a lack of personalization in customer relationships . These issues , as per the report , result in considerable revenue losses and an unsatisfactory shopping experience for consumers .

According to market projections , the application of AI in the automotive sector is expected to reach $ 7 billion by 2027 , according to stats from the Market Research

Report , with a compound annual growth rate ( CAGR ) of 24.1 %.

At the same time , the GenAI market in the industry could reach US $ 3.9m by 2034 , according to data from strategic market insights firm Predence Research , while the application of AI in manufacturing is expected to create about one million new jobs , according to forecasts by the statistics portal World Metrics .

“ AI allows us to not only enhance the customer experience , but also to significantly optimize business operations . This underscores the immense potential of this technology to transform the automotive industry , especially when it comes to efficiency and personalization ,” said Álvaro Pujals , Business Hacking Partner , Globant .

As part of this broad initiative in the sector , the Digital Transformation conducted by Globant allowed Nissan , for example , to attract more than one million users in just three days , generating 2 , 000 qualified leads .

In addition , the company launched an online reservation system for the Nissan Ariya for customers to pre-order the car in just three lightning-fast steps , all completed in less than 15 seconds .

Another highlight was the implementation of an AI chat system , developed in partnership with Google .

This system provided Nissan with more than 113,000 successful customer interactions in the first five months – significantly improving customer service and satisfaction .

Additionally , the report explores how AI can be applied in other areas of the automotive industry , including predictive maintenance and the development of connected vehicles .

In this sense , the use of technology in these processes allows the monitoring of vehicle performance in real time , predicting failures before they occur and offering more accurate maintenance solutions – reducing repair costs and increasing safety .

“ AI is redefining the way automakers operate and interact with their consumers . Our mission is to support companies in the automotive sector to explore the potential of this technology to create more agile operations and increasingly engaging consumer experiences ,” said Pujals . •

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