Piloting AI Use Cases
Before organizations adopt AI, they must understand exactly what they are adopting (and why). This is especially true in wild-west environments where people are trying out a whole whack of different tools. After all, the goal isn't to adopt AI; it's to improve outcomes with it. The following template can be used to document your potential AI use cases, including what metrics to use to determine whether the pilot was successful.
If you are trying to identify use cases for your team or your own personal workflow, here are some useful resources:
Normative has published useful guides and templates for identifying prioritizing use cases.
RandallPine has a great 5X5 framework for deconstructing workflows to find opportunities.
Hubspot has a guide on how to incorporate ChatGPT into common workplace tasks.
AI & WIFM?
But is it in your employee’s best interests to learn how to use an AI tool or to see an AI pilot succeed? This is a critical piece of the change management puzzle, particularly in organizations where interest in AI is coming from the top or is not evenly shared among team members. Every change management model includes a 'desire' component; do your employees understand the benefits of adopting AI?
This challenge was shared with my by a friend on an AI council for a large organization. When she recruits people to trial different AI tools and use cases, some are hesitant to share their productivity gains. After all, if they tell their managers that they can save 5 hours per week by using an AI tool, won't they just get more work? According to reports, this occurs 21% of the time. Leaders must understand that not everyone necessarily shares their enthusiasm for AI and provide a clear and compelling answer to the question, "What's in it for me?"
Smart Reads & Resources
Anthropic publishes some pretty awesome resources to help create better prompts, including a searchable prompt library. I just came across this - definitely worth a bookmark.
Smarterx.ai has created JobsGPT that assesses the impact of AI on several aspects of different jobs. Simply enter your job and see where and to what extent AI can help.
Ethan Mollick has a useful retrospective on how far generative AI tools have advanced since 2022 with before and after image, video, and audio examples. Very cool.
Cool Beans
Eyechat: Ever want to stare deeply into the eyes of someone? What if that someone was some rando from the Internet? Click here and don’t blink.
Dump Site: Not random enough? Click here to browse through a public archive of deleted files uploaded by random people. Keep the web weird, people!
Friend: A new AI-powered necklace can keep you company when you are lonely, all you need to do is press on the pendant. Sort of like Kitt from Knight Rider - without the car.
Fresh Research
Adoption of ChatGPT (University of Chicago): Interesting research from Denmark that shows adoption for different types of roles over the past year. Women are 20% less likely to use ChatGPT compared to men in the same occupation.
AI & Scams (Boss) The rise of AI is making people more concerned about scams such as those involving realistic voices and deepfakes. Only 18% surveyed feel very confident identifying a scam.
AI-Enhanced Work (Upwork): Highlights the friction between AI hope vs. reality. 46% of companies encourage employees to use AI and 47% of employees say they have no idea how to achieve the productivity gains their employers expect.