Google Cloud has just published an extraordinary collection of 601 Generative use of the real world (GENAI) of some of the main organizations in the world – a major jump from the 101 User cases He only shared next a year ago in Google Cloud in 2025. This six -time expansion highlights the explosive pace to which Genai technologies go from prototypes to production, fueling transformations in almost all sector.
Announced at Google Cloud next 2025, the full list covers companies ranging from Uber,, SamsungAnd Citi has Mercedes-Benz,, Deutsche BankAnd Alaska Airlines. The extent of applications highlights the growing importance of Genai as an operational, creative and strategic lever in the automotive, finance, health, manufacturing, media, retail and public sector sectors.
The structure: agents, industries and applications
Google structured the window through 11 major industrial groups And Six types of AI agents::
- Customer agents: Improve user experiences via chatbots, predictive services and personalization
- Employee agents: Stimulate internal productivity thanks to the generation of content, a summary and the discovery of knowledge
- Creative agents: Accelerate campaign design, media production and product innovation
- Code agents: Rationalize software engineering and computer workflows
- Data agents: Take advantage of data for analysis, optimization and decision assistance
- Security agents: Fortify organizations with threat detection and prevention of fraud led by AI.
This taxonomy based on agents clearly shows this: AI is no longer a distinct tool – it is integrated into the organizational fabric.
Instant of industry: Impact of the real world
Automobile and logistics
The automotive industry quickly adopts conversational and predictive AI. Volkswagen of America Built a multimodal virtual assistant inside the MyVW application using Google Gemini models, allowing users to point their phones on dashboard indicators for instant explanations. Mercedes-Benz launched an automotive AI agent offering natural language navigation and electronic commerce sales capacities directly in its vehicles.
Even innovate logistics giants: Tall built a digital twin of its global package network for the monitoring and optimization of packages in real time.
Financial services
Banks and fintech companies are particularly aggressive in the adoption of AI. Citi Use Vetex AI to allow developer tool boxes and documents scanning. Deutsche BankThe “DB Lumina” research tool, powered by Gemini, reduces the creation times of research reports from hours to a few hours.
In the meantime, Discover the financial services AS assistants deployed who help customers and representatives of the contact center, considerably improving the efficiency of services.
Health and life sciences
In health care, the impact of AI extends from diagnosis to operational efficiency. Be doing Building early detection cancer tests combining AI and blood samples. Mayo clinic Unlocked 50 clinical data petacts with research on the AI summit, accelerating access to research.
Apollo hospitals In India 3 million people By applying AI to workflows in radiology.
Manufacturing and electronics
Manufacturers like Samsung Directly incorporate Gemini AI of Google into their devices – the Galaxy S24 now offers text and image editing editing features based on AI. Trimpe And Honeywell have incorporated Gemini for the workspace to improve engineering productivity and the automation of documents.
Media, retail and hospitality
AI considerably changes customer engagement. Dad John's,, WendyAnd Uber use predictive control systems fueled by AI. Radisson hotel group pointed out a 50% gain in marketing productivity and more Income lifte at 20% By customizing advertisements with Vetex AI.
Even creative industries take advantage of AI: Adobe In integrated Imagen 3 and Veo 2 in Adobe Express, considerably accelerating campaign creation.
Highlights of technology: Google's scalable battery
Many of these applications have been made possible via Core Google Cloud AI Technologies, including:
- Vertex ai: Model training, deployment, CLOTH (Generation of recovery) pipelines)
- Gemini models: Multimodal LLMS supplying text, code, vision and conversational capacities
- Imagen & Veo: High -fidelity images and videos and videos models
- BigQuery ML: Data storage with integration automatic learning
- Safety AI: A-first threat detection with Google Secops.
An emerging trend is the high use of AI agents set by the companysuch as Gemini code assistance for developer productivity or Security Gemini For the intelligence of threats.
Emerging models in use cases
Several clear trends are emerging from Google's compilation:
- Generative AI goes from experience to critical mission systems: That the automation of subscription in finance, discovery of drugs or multimodal research in automotive applications, Genai is now large -scale operational.
- Hybrid multimodal models are more and more vital: Many solutions incorporate text, vision and structured data – not just simple language models.
- Verticized AI agents accelerate: Google's partners are not just LLM with fine adjustment – they build AI agents specific to the field and settled by the industry closely integrated into their workflows.
- AI democratization: Solutions such as Vertex AI research and data agents put sophisticated AI tools in the hands of commercial users, scientists and even drivers – not just engineers.
Final reflections
The 601 use cases shared by Google Paint an exhilarating image: The transformation of AI is no longer theoretical – This happens today, on a large scale, in almost all sector.
Google’s strategy aimed at aligning its AI offers with the operational needs of the real world – customer commitment and logistics to employee productivity and cybersecurity – accelerates this adoption curve.
As the president of Google de Global returned said, Matt Renner, in the announcement, “this only scrapes the surface of what becomes possible with AI through the company”.
If these use cases are an indication, the following year promises an even more amazing innovation.
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Asif Razzaq is the CEO of Marktechpost Media Inc .. as a visionary entrepreneur and engineer, AIF undertakes to exploit the potential of artificial intelligence for social good. His most recent company is the launch of an artificial intelligence media platform, Marktechpost, which stands out from its in-depth coverage of automatic learning and in-depth learning news which are both technically solid and easily understandable by a large audience. The platform has more than 2 million monthly views, illustrating its popularity with the public.
