601 GenAI use cases
GenAI implementations across 11 industries
Google recently published an updated list of 601 real-world use cases for its Generative AI tools. These use cases demonstrate how tech-forward organizations are leveraging Google Cloud’s AI technologies including Gemini, Vertex AI, and agents to drive efficiency improvements, improve customer experiences, accelerate innovation, and unlock new business opportunities.
We suggest browsing through this resource to help you identify opportunities to leverage GenAI in your own businesses and institutions (using Google, or another provider).
But first...
5 things to know
📰 Quote: “Unlike general GenAI, specialized solutions focus the capabilities of large language models (LLMs) on high-quality, domain-specific content to generate more-accurate output. Moreover, because specialized GenAI tools are often designed to integrate with specialized software, they can help reduce the number of steps in the workflow. Users thus can stay on one platform, without having to export and import files, copy-paste, or contend with other points of friction that waste valuable time.” [BCG]
▶️ Video: The difference between Generative and Agentic AI | IBM
🎤 GenAI Prompt: Suggest 3 ways I can add value during a meeting about [topic/project/problem].
🎓 Learning: Generative AI for Executives - AWS Skill Builder. This free course explains the foundational concepts and terminology of generative AI and how to drive business value with generative AI.
📅 Event: Unveiling the top 10 emerging technologies for 2025 | Forrester - Wednesday, May 21, 2025 at 11 a.m. ET
601 real-world gen AI use cases
Google just released their updated list of GenAI use cases - now expanded to 601 distinct cases. The uses span 11 major industry groups across six different usage types: Code, Creative, Customer, Data, Employee, and Security.
Review the full list here.
Below are some interesting examples pulled from each type:
Code:
CME Group, which operates the Chicago Mercantile Exchange, says most developers using Gemini Code Assist report a productivity gain of at least 10.5 hours a month.
Creative:
Kraft Heinz is using Google’s media generation models, Imagen and Veo, on Vertex AI, speeding up campaign creations from eight weeks to eight hours.
Customer:
IHG Hotels & Resorts is building a gen AI-powered chatbot to help guests easily plan their next vacation directly in the IHG One Rewards mobile app.
Data:
Contraktor developed a project to analyze contracts with AI. As a result, the company achieved a reduction of up to 75% in the time taken to analyze and review a contract, with the possibility of both reading and extracting relevant data from the documents.
Employee:
3 Farm Daughters, a family-owned pasta company, writes social media posts with help from Gemini in Docs, making it easier for the three sisters-turned-cofounders to balance family life with running a business.
Security:
Fiserv, a developer of financial services technology, can now summarize threats, find answers, and detect, validate, and respond to security events faster with the Gemini in Security Operations platform.
Key Takeaways
Widespread Adoption: Generative AI is being implemented across nearly every major industry - from finance to manufacturing - to enhance efficiency, personalization, and innovation.
Tangible Impact: While some implementations show mixed results, many use cases demonstrate clear, measurable gains in efficiency and productivity.
Enhanced Experiences: AI agents are reshaping customer and employee experiences by automating repetitive tasks such as analyzing feedback, reviewing conversations, and referencing materials - freeing up teams for higher-value work.
Accelerated Outcomes: GenAI can significantly improve time-to-delivery in coding, creative production, fraud detection, and data analysis projects.
Generative AI is not only optimizing existing workflows…it’s unlocking new opportunities for collaboration, creativity, and innovation across industries. Explore the list for inspiring and relevant use cases.
Adventure on.