AI Summer School - Implementing Gen AI in your job

Your weekly guide to getting the most out of generative AI tools

Author

Innovation Profs
August 01, 2025

Welcome to Gen AI Summer School

We’re spending the summer teaching you the essentials you need to succeed in an AI-forward world.

Here’s the plan:

Implementing Gen AI in your job

Generative AI is transforming industries, taking over repetitive tasks, and opening doors to new levels of creativity and productivity. But you may be left wondering where to even start with using generative AI in your job. Here’s a step-by-step process to get started.

You could start by brainstorming the tasks associated with your job and determining which ones can be completed or assisted by generative AI. But we’ll use a tool to help us get started.

Start by going to JobsGPT. This custom GPT lets you enter job title and get a list of tasks associated with that job. I entered “college professor” and got the list below (I’m only showing part of the list).

Exposure Level refers to the AI capabilities need to accomplish this task. For example, E2 means additional software is need to be built on top of the LLM.

As you can see in the image above, it includes an estimated percentage of time saved and a rationale. If you want a task to be broken down further into subtasks, just ask it to do so.

The key insight from Jobs GPT is that not all tasks are created equal. Once you see the list of tasks for your role, you can break them down into three buckets:

1. Quick Wins (Do These Now)

These are tasks where AI can help you immediately, often with very little setup.
Examples might include:

  • Drafting first-pass content like emails, blog outlines, or social posts.

  • Brainstorming ideas (campaign names, event concepts, or solutions to a sticky problem).

  • Summarizing long documents or meetings into action points.

Quick wins are low-risk. They save you time right away and free you up to do higher-value work.

2. Definite Don’ts (Avoid These)

Not everything belongs in AI’s hands. Some tasks are too sensitive, too nuanced, or just better done by humans.

Think about:

  • Anything involving confidential or proprietary information you can’t safely share.

  • Final decision-making on strategy, ethics, or people.

  • Work where tone, relationships, or deep expertise are essential.

Jobs GPT will highlight these so you can steer clear.

3. In-Between Cases (Test and See)

This is the experimental zone. These tasks might benefit from AI, but the results will vary. They require testing, tweaking, and human oversight.

You’ll want to:

  • Run a few controlled trials.

  • Compare the AI’s output to your usual process.

  • Decide whether it makes you better, faster, or just frustrated.

These tasks often end up being the most valuable over time, but they take some effort to figure out.

Your Next Step

If you’ve been curious about generative AI but haven’t known where to start, follow this plan: Go to Jobs GPT. Enter your job title. Classify your tasks.

You’ll see where to find quick wins, areas to avoid, and where to experiment. Ideally you will see a significant increase in your productivity when you add generative AI to the proper tasks.

Free AI update Aug. 25

Join us as we kick off the new school year with a free virtual overview of recent developments in generative artificial intelligence. Whether you are new to generative AI or a seasoned veteran, this event is for you.

This virtual event is free and open to the public, so sharpen your pencils and join the fun.

When: Monday, Aug. 25, 12-12:45 p.m. Central time
Where: Virtual event on Zoom
Sign up here.