The use of AI is becoming widespread across various sectors, transforming industrial processes, enriching products and services, and strengthening business competitiveness. This synthesis gathers the main trends of early 2025.

Strategic Partnerships to Accelerate Innovation

Many companies are forming alliances to integrate AI into their operations. L’Oréal and IBM are collaborating on a generative AI model to improve internal processes and innovate in cosmetics. Servier, a healthcare player, is partnering with Google to leverage AI in discovering new treatments. Sopra Steria is focusing on innovation by investing in XXII, a startup specializing in digital twins, thus strengthening its industrial capabilities.

  • L’Oréal and IBM collaborate on a generative AI model: L’Oréal has partnered with IBM to design a foundation model in generative AI. This partnership aims to improve the company’s internal processes and strengthen its market position by leveraging AI capabilities to innovate in the cosmetics sector.
  • Servier integrates Google’s AI into its research and development: Pharmaceutical group Servier has announced a five-year partnership with Google to integrate generative AI into its research activities. This collaboration aims to accelerate the discovery of new treatments by leveraging Google’s advanced AI technologies.
  • Sopra Steria invests in startup XXII for digital twins and AI: Sopra Steria has invested in startup XXII, which specializes in digital twins and AI. This investment aims to improve Sopra Steria’s service offerings and optimize industrial processes using cutting-edge technologies.

Transformation of Industrial Processes

AI plays a crucial role in industrial optimization. It contributes to the decarbonization of activities by improving energy efficiency and production chains. A study highlights the importance of best practices in generative AI projects, particularly data quality and interdisciplinary collaboration. These advances demonstrate AI’s positive impact on business sustainability and efficiency.

  • AI serving industrial decarbonization: A recent study explores how AI can help industry reduce its carbon footprint. By optimizing production chains and improving energy efficiency, AI offers promising solutions for decarbonizing industrial processes.
  • Best practices for successful generative AI projects: An article details the best practices to adopt to maximize the chances of success in generative AI projects. Emphasis is placed on the importance of data quality and interdisciplinary collaboration to ensure the success of these initiatives.

AI in Luxury and Fashion

In the luxury sector, AI helps preserve and reinvent brand identity. Jonak has used generative AI to revisit its archives and create a modern collection, strengthening its cultural heritage. Chanel is exploring similar tools to optimize its operations while ensuring the integrity of its artisanal craftsmanship, illustrating a measured and strategic adoption of these technologies.

  • Jonak reinvents its heritage with AI: French shoe brand Jonak has collaborated with startup Imki to create a capsule collection titled “Laces More.” By leveraging generative AI, they have revisited the brand’s archives to offer contemporary models inspired by their heritage.
  • Chanel aims for efficiency through generative AI: Chanel is exploring the use of generative AI to improve its operational efficiency, particularly on low-value tasks. However, the luxury house insists on the need to preserve its identity and artisanal craftsmanship, prioritizing the human element in customer relations and creation.

Adoption in Marketing and Information Technology

Marketing and IT are among the most receptive sectors to AI. Leading companies leverage these technologies to personalize customer experience and optimize their campaigns. These approaches give them a significant competitive advantage in environments where rapid innovation is essential.

  • Champions of AI adoption in marketing and IT: A report identifies the leaders in AI adoption in the fields of marketing and information technology. It highlights the competitive advantages gained through these technologies, particularly in terms of personalizing customer experience and optimizing marketing campaigns.

Infrastructure and Technological Innovations

Data infrastructures are evolving to support the growing needs of AI. In India, an ambitious project aims to build the world’s largest data center, powered by renewable energy and equipped with advanced chips. Google is also enriching the technological ecosystem with Gemini 2.0, an AI model offering unprecedented “Flash Thinking” capabilities, while Hugging Face is developing compact and efficient models suitable for low-capacity devices.

  • Giant data center project in India: Reliance, an Indian industrial giant, plans to build the world’s largest data center in Jamnagar. The company plans to equip this infrastructure with NVIDIA AI accelerators, Blackwell chips, and power it primarily with renewable energy.
  • Google launches the Gemini 2.0 model: Google has unveiled Gemini 2.0, an advanced AI model offering “Flash Thinking” capabilities. This model sets new performance records in mathematical and scientific tasks and offers a free alternative to OpenAI’s premium services.
  • Hugging Face presents ultra-compact AI models: Hugging Face has announced the development of ultra-compact multimodal AI models, named SmolVLM-256M and SmolVLM-500M. Designed to run on devices with limited resources, these models offer remarkable performance in analyzing images, short videos, and text.

Autonomous Agents and New Applications

Autonomous agents are gaining ground, facilitating daily tasks. Perplexity offers an AI assistant on Android capable of navigating between applications and performing complex searches. OpenAI is innovating with Operator, an AI capable of controlling a computer, simplifying processes such as order management or travel booking. These tools illustrate the possibilities offered by intelligent automation.

  • Perplexity launches an autonomous AI assistant on Android. Perplexity has introduced an autonomous AI agent capable of navigating applications, conducting web searches, and analyzing on-screen content to accomplish various tasks. Available on Android, this assistant aims to facilitate users’ daily tasks.
  • OpenAI unveils Operator, the AI that controls your PC. OpenAI has launched Operator, an AI capable of taking control of your computer and browsing the web to perform actions such as ordering food or booking travel. This agent uses an integrated browser to interact with websites and accomplish tasks for the user.

Training and AI Integration in Business

Integrating AI in companies also involves employee training. Initiatives such as those by Forvis Mazars, which trains its employees in using AI tools to increase their productivity, show the importance of supporting change. An inclusive approach promotes the adoption of these technologies by teams and supports innovation close to employees.

  • AI training at Forvis Mazars: Forvis Mazars has implemented AI training for its employees, estimating that if everyone saves thirty minutes per month thanks to this tool, the license will be cost-effective. This initiative aims to improve employee efficiency by integrating AI into their daily tasks.
  • Innovating close to employees with AI: Companies are adopting collaborative approaches to integrate AI, by directly involving employees in the innovation process and simplifying access to information. This approach promotes the adoption of AI tools by employees

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