University of Kwazulu-Natal

Real World Gen Ai Use Cases From The World S Leading Organizations

Bonisiwe Shabane
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real world gen ai use cases from the world s leading organizations

President and Chief Revenue Officer, Google Cloud Our most intelligent model is now available on Vertex AI and Gemini Enterprise Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum both Google and the industry were seeing around generative AI adoption.

In the brief period then of gen AI being widely available, organizations of all sizes had begun experimenting with it and putting it into production across their work and across the world, doing so... Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations — a major leap from the 101 use cases it shared... This sixfold expansion showcases the explosive pace at which GenAI technologies are moving from prototypes to production, powering transformations across virtually every sector. Announced during Google Cloud Next 2025, the comprehensive list covers companies ranging from Uber, Samsung, and Citi to Mercedes-Benz, Deutsche Bank, and Alaska Airlines. The breadth of applications highlights GenAI’s growing importance as an operational, creative, and strategic lever across automotive, finance, healthcare, manufacturing, media, retail, and public sector industries​. Google structured the showcase across 11 major industry groups and six AI agent types:

This agent-based taxonomy makes it clear: AI is no longer a separate tool — it’s becoming embedded into the organizational fabric. The automotive industry is rapidly adopting conversational and predictive AI. Volkswagen of America built a multimodal virtual assistant inside the myVW app using Google’s Gemini models, letting users point their phones at dashboard indicators for instant explanations​. Mercedes-Benz launched an automotive AI agent offering natural language navigation and e-commerce sales capabilities directly within its vehicles. In 2023, we created a database of real-world AI and ML use cases, and we’ve been steadily expanding it since. Back then, it was mostly “classic ML” use cases focused on solving predictive problems like classification, regression or recommendations.

Fast forward to today: the collection includes 650+ examples, and a growing share are GenAI applications. Of course, the list of examples is skewed towards companies that actively share how they build things publicly – which means you’ll see plenty of tech firms and platform players. Here is how we grouped all use cases by application type: It’s not a perfect taxonomy, but even with that caveat, some clear patterns stand out. Looking to move beyond the hype and actually execute on Generative AI? This free directory is your strategic shortcut.

It contains more than 2,265 real‑world AI use cases, directly sourced from the globe’s top organisations—each one deployed at scale across industries and functions. These aren’t just pilot projects or theoretical ideas. They’re proven business use cases powering real outcomes. Whether you’re shaping your roadmap, defining OKRs or building a business case, this directory equips you to focus on digital use cases that already work rather than reinventing the wheel. Here’s where to find the most comprehensive and practical examples of GenAI in action: Amazon – GenAI Customer Stories (280+): Explore →

Capgemini – Harnessing GenAI Potential (54): Explore → Over the past three years, generative AI has transformed industries by creating new content in text, image, music and video formats. In contrast to traditional AI that operates on rule-based models, thereby limiting its capabilities and reasoning, GenAI is trained on vast amounts of public and proprietary data, enabling it to provide users with humanlike,... Derivatives of GenAI include chatbots, high-quality content, automated summarization, intelligent recommendation engines, virtual tutors and AI-powered creativity tools. The PwC report "Global Artificial Intelligence Study: Exploiting the AI Revolution" estimated that GenAI could contribute up to $16 trillion to the global economy by 2030 -- more than the current economic output of... The following list captures how 20 different industries are currently using GenAI to achieve these benefits and meet business goals.

Manufacturing teams have to meet production goals across throughput, rate, quality, yield and safety. To achieve these goals, operators must ensure uninterrupted operation and prevent unexpected downtime, keeping their machines in perfect condition. However, navigating siloed data -- such as maintenance records, equipment manuals and operating procedure documentation -- is complicated, time-consuming and expensive. GenAI accelerates time to insight for operators, technicians, process engineers and plant managers. For example, at Koch Industries, facility operators use C3 Generative AI to query the system in natural language for comprehensive reports on internal and external operations. Process engineers assess performance and risk across assets, generating detailed insights on critical issues and full traceability to the source.

According to Steve Lombardo, former communications and marketing officer at Koch, generative AI has helped the multi-industry company solve previously unsolvable problems at scale. From inventory management to customer service, sales, store operations, loss prevention and beyond, GenAI has made retail operations exponentially easier and more effective. Generative AI is revolutionizing industries by automating tasks, enhancing creativity, and driving efficiency. From content creation to scientific research, AI models like ChatGPT GPT-4o, Gemini 2.0, Llama 3.1 405B, Deepseek, DALL·E, and Stable Diffusion are unlocking new possibilities. As evident from the Google Trends graph, interest in generative AI surged after ChatGPT’s launch in October 2022. By 2026, over 80% of companies are expected to integrate generative AI APIs, models, or deploy GenAI-powered applications in production—a sharp rise from less than 5% in 2023.

Here are 100 powerful generative AI use cases across various sectors: Generative AI is transforming industries by enabling innovative solutions across diverse sectors. Google’s report highlights 321 real-world use cases from top organizations, showcasing AI-driven advancements in healthcare, finance, marketing, customer service, and more. These case studies demonstrate how businesses leverage AI for automation, enhanced decision-making, personalized experiences, and operational efficiency. By analyzing these implementations, organizations can identify opportunities to integrate generative AI into their workflows, driving innovation and competitive advantage. This collection serves as a roadmap for enterprises looking to harness AI’s potential in solving complex challenges and redefining industry standards.

1️⃣ Generate ideas2️⃣ Therapy / Companionship3️⃣ Specific Search4️⃣ Edit Text5️⃣ Explore Topics of Interest6️⃣ Fun & Nonsense7️⃣ Troubleshoot8️⃣ Enhance Learning9️⃣ Personalize Learning🔟 General AdviceYou can find more ideas for using generative AI in this... The UAE’s Artificial Intelligence Office has curated a comprehensive list of 100 Practical Applications and Use Cases of Generative AI, highlighting its transformative impact across industries. This report showcases how businesses and government entities in the UAE leverage AI-driven innovations in sectors such as healthcare, finance, education, logistics, and public services. From automating workflows to enhancing customer experiences and driving data-driven decision-making, these real-world implementations demonstrate the power of generative AI in optimizing efficiency and fostering economic growth. By exploring these applications, organizations can gain insights into best practices and strategies for AI adoption, positioning the UAE as a global leader in AI-driven innovation. Google Cloud recently released a remarkable report showcasing 601 real-world generative AI (GenAI) applications from leading global companies.

This number represents a sixfold increase compared to the 101 cases shared at last year's Google Cloud Next, demonstrating the rapid advancement of generative AI from prototype to production deployment across nearly every industry. Announced at the 2025 Google Cloud Next conference, the report covers applications from numerous well-known companies, including Uber, Samsung, Citi, Mercedes-Benz, Deutsche Bank, and Alaska Airlines. These examples highlight the growing importance of generative AI in automotive, finance, healthcare, manufacturing, media, retail, and the public sector, serving as a crucial tool for operations, creativity, and strategy. Google categorized these applications into 11 major industry groups and 6 AI agent types. The main AI agent types include: Customer Agents (enhancing user experience through chatbots and personalized services), Employee Agents (improving internal productivity), Creative Agents (accelerating campaign design and product innovation), Code Agents (streamlining software engineering... This agent-based classification shows that AI is no longer a standalone tool but an integrated part of organizational structures.

Real-world applications across various sectors are equally impressive. In the automotive industry, Ford and Mercedes-Benz have introduced AI assistants within their vehicles, providing natural language navigation and e-commerce capabilities. In financial services, Citi uses Vertex AI to enhance developer tools, while Deutsche Bank significantly reduces research report creation time with its "DB Lumina" research tool. In healthcare, Freenome is developing AI-powered early cancer detection tests, and the Mayo Clinic uses Vertex AI Search to unlock 50PB of clinical data, dramatically accelerating research access. In manufacturing, Samsung integrates Google's Gemini AI directly into its devices, enabling AI-powered text summarization and image editing features in the Galaxy S24. The media, retail, and hospitality sectors are also leveraging AI to enhance customer engagement, with companies like Papa John's, Wendy's, and Uber utilizing AI for predictive ordering systems to improve service efficiency.

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