When you realise there's only 6 ways to use it
OpenAI analysed over 600 use cases from their most successful customers, and every single one fell into these 6 categories:
๐ญ. ๐๐ผ๐ป๐๐ฒ๐ป๐ ๐๐ฟ๐ฒ๐ฎ๐๐ถ๐ผ๐ป
(Writing, editing, translating, and creating visuals)
โข Promega saved 135 hours in 6 months using AI for email campaigns
โข Sephora uses AI to create personalised beauty advice for customers
โข Coca-Cola generates marketing content across 200+ markets
My use cases: content ideas, first drafts, social post images, creating policies and contracts, editing them
๐ฎ. ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต
(Finding information, analysing trends, and gathering insights)
โข DHL predicts workload patterns to optimise warehouse staffing
โข Investment firms use AI to analyse market trends and company reports
โข UPS built a digital twin of their entire distribution network
My use cases: research leads, understanding how new AI tools work, exploring real AI use cases, gathering the latest reports and news, digging into high ticket clients
๐ฏ. ๐๐ผ๐ฑ๐ถ๐ป๐ด
(Writing, debugging, and explaining code)
โข Tinder's engineers use AI for syntax in unfamiliar languages like Bash scripts
โข Bancolombia achieved 30% faster code generation with GitHub Copilot
My use cases: I'm building simple sites, games and apps in minutes
๐ฐ. ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐
(Finding patterns, creating visualisations, and extracting insights)
โข Poshmark reconciled millions of spreadsheet rows to analyse performance
โข Coca-Cola improved forecasting accuracy by 20% using AI sales predictions
My use cases: Analysing campaign data, pricing strategies
๐ฑ. ๐๐ฑ๐ฒ๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐
(Brainstorming, planning, and problem-solving)
โข Match Group simulates focus groups by uploading wireframes to AI.
โข Marketing teams brainstorm campaigns using voice mode.
My use cases: Business growth consultancy, optimisation
๐ฒ. ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป
(Streamlining repetitive processes and workflows)
โข BBVA automates credit risk analysis by pulling data from annual reports
โข Hilton optimised employee scheduling, improving both staff satisfaction and efficiency
โข Lumen cut sales prep time from 4 hours to 15 minutes, saving $50M annually
My use cases: Lead generation workflows, course creation workflows
A simple way to get started yourself:
1. Pick one of those 6 categories
2. Find 3 tasks that fit within this category
3. Start with the most annoying one
4. Find an AI tool that claims to fix it
5. Test it for 2 weeks - push past glitches
6. If it works, great, if not, ditch
7. Move onto the other category tasks
8. Then move to the next category
Some of these will be brilliant, others will be crap.
But I guarantee it's worth the time and effort.
Which category will you start with?
What have you tried so far?
Let's see if I can help inspire some ideas.
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