📧 3 Common Themes about AI in Project Management | 04.18.24

Hi, there.

Ed here.

Last week, I attended a PM conference in Columbus, Ohio, and while AI wasn’t the primary topic of conversation, its implications for our work certainly came up in most conversations.

Thankfully, this week, I’m on vacation in Park City, UT, decompressing from that marathon of lectures, breakouts, and team dinners.

For those two reasons, this will be a brief issue. So, before I get back out onto the mountain, I wanted to explore the three main themes I took away from those conversations at the conference.

3 Common Themes about AI in Project Management 🤖.

𝟭. AI 𝗰𝗮𝗻 𝗺𝗮𝗻𝗮𝗴𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗵𝘂𝗺𝗮𝗻 𝗼𝘃𝗲𝗿𝘀𝗶𝗴𝗵𝘁.
AI is excellent at processing an enormous amount of information and producing an output.

At this time, the challenge is knowing what the output will be.

That power must be guided by thoughtful, skilled project managers who can use that output productively.

We are not at a point yet where we can turn AI loose on important tasks and expect a positive outcome on a consistent enough basis to shirk our responsibility of review and oversight.

For more on ☝️ download my (expanded) AI Eisenhower Matrix Framework here.

This leads us to the next challenge…

𝟮. AI can 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁, 𝗿𝗲𝗽𝗲𝗮𝘁𝗮𝗯𝗹𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀.
For mission-critical tasks, it is important to remember that AI is a black box.

No one knows how AI really works, or sometimes doesn't.

You're not guaranteed to get consistent results just because you use the same prompts or inputs.

I have mostly overcome this challenge in the short term by integrating AI into more traditional automation tools like Zapier.

With a platform like Zapier (there are many other similar tools, like Make or IFTTT), I connect the software and data I already use and leverage AI in between standardized, repeatable steps to transform the information in ways I previously had to do manually.

Future AI models may get more predictable, but for now, creating a repetitive process with a 100% predictable outcome is impossible.

Takeaway: Motivated, empowered humans need to review critical AI output at critical stages of the process.

Soooo, that being said….

𝟯. C𝗮𝗻, and will, AI 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗵𝘂𝗺𝗮𝗻 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗿𝘀?
It won't if you want to build strong relationships with internal and external stakeholders.

As we’ve become more dependent on data and larger data stores can be analyzed by AI, keeping people motivated and feeling valuable within an organization will become even more important.

AI is very good at producing statistically “correct” outputs. It’s up to human understanding to interpret and execute on those outputs.

The soft skills required to build and maintain these strong relationships are uniquely human and will quickly become one of a project manager's most valued qualities.

So, no, AI won’t replace project managers as long as we keep improving the soft skills that truly separate us from the computers.

tl;dr 🥜:
Focus on building soft skills, prioritize empowering human oversight of AI outputs, and remember that project managers are in the people business as much as we are in the tasks business.

𝗗𝗼 these things, 𝗮𝗻𝗱 𝘆𝗼𝘂'𝗹𝗹 𝗳𝗶𝗻𝗱 𝘆𝗼𝘂𝗿 𝗣𝗠𝗢 𝗵𝘂𝗺𝘀 𝗮𝗹𝗼𝗻𝗴 𝘄𝗶𝘁𝗵 𝗽𝗲𝗼𝗽𝗹𝗲 𝗮𝘁 𝘁𝗵𝗲 𝗰𝗲𝗻𝘁𝗲𝗿.

Value Added Resources:

• If you love to learn (which is why you read this newsletter, I suppose), I’ve compiled a bunch of great free AI courses for all different interests and skill levels.

• Watch this clip to hear what the CEO of the Project Management Institute, Pierre Le Manh, thinks about the future of AI in project management.

• An early morning picture of me in Park City, UT.

This Week’s AI Use Case:

Even after only being away for a few days, I know I’m going to come back to a full inbox. A lot of those messages will be threads that go down multiple paths. How do you quickly catch up on the important messages and ignore the “thank you!” and “you’re welcome” messages?

Here’s how 👇

OK. That’s all. Talk to you next week.

-Ed

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AI Disclosures: This email's content was written entirely by me, Ed, a human.