#389 AI Use-cases

Research on AI Use-cases, adoption strategies, successes and failures.

Notes

Google Real-world Use Cases

1,001 real-world gen AI use cases from the world’s leading organizations

See:

• https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders
• https://cloud.google.com/blog/products/ai-machine-learning/real-world-gen-ai-use-cases-with-technical-blueprints

Microsoft AI Diffusion Report

See: https://www.microsoft.com/en-us/research/wp-content/uploads/2025/10/Microsoft-AI-Diffusion-Report.pdf

Microsoft AI-powered success—with more than 1,000 stories of customer transformation and innovation

See https://www.microsoft.com/en-us/microsoft-cloud/blog/2025/07/24/ai-powered-success-with-1000-stories-of-customer-transformation-and-innovation/

Open AI Report on Identifying and scaling AI use cases

See: https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf

Highlights:

• common workplace challenges in these three key areas:
  • Repetitive low value tasks
  • Skill bottlenecks
  • Navigating ambiguity
• six use-case primitives:
  • content creation
  • automation
  • research
  • ideation/strategy
  • data analysis
  • coding

It then goes on to recommend good old fashioned business practices improvement methods:

• gathering and prioritizing use cases
• department workflow mapping

MIT The GenAI Divide: STATE OF AI IN BUSINESS 2025

See: https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf

The infamous report that found:

Just 5% of integrated AI pilots are extracting millions in value, while the vast majority remain stuck with no measurable P&L impact. This divide does not seem to be driven by model quality or regulation, but seems to be determined by approach.

And of course lots of contrary views attempting to throw cold water on it, such as:

• https://www.marketingaiinstitute.com/blog/mit-study-ai-pilots