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When someone says, “we should use AI,” how do you unpack what’s really being asked?

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Michael Brinn
PMI Team Member
Product Manager, Learning| PMI Denver, Colorado, United States

What signals help you tell different kinds of AI work apart—and what tends to go wrong when everything gets lumped together?

Have you ever been in a conversation where “AI” meant different things to different people? What tipped you off?

Share your experiences navigating what’s really being asked when someone says “we should use AI” in the comments below.

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Ontresicia Averette Senior Project Manager| Huntington Hospital Ca, United States
AI can use it for task sequencing, scheduling, and more accurate budget forecasting, tracking, and overall reporting.
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Ontresicia Averette Senior Project Manager| Huntington Hospital Ca, United States
First of all, when someone mentions AI, I instantly think of using it for task sequencing, scheduling accuracy, and and advance reporting.
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Anonymous
As AI becomes more prevalent across the entire corporate spectrum and stakeholders, it is crucial to determine what AI means to each group and how it will impact their interest, ability and willingness to participate in projects. Having a project that impacts the necessary stakeholders is always ideal.
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Indrajeet Patil People Manager| Massmutual Global Business Service India LLP Hyderabad, India
When someone says “we should use AI,” I am thinking on how technology—specifically artificial intelligence—can be leveraged to solve a problem, improve efficiency, automate tasks, or gain insights. Below are the ways:

1. Automate repetitive or manual processes
2. Enhance decision-making with data-driven insights
3. Improve accuracy or speed in existing workflows
4. Gain a competitive advantage through innovation
5. Reduce costs or resource requirements
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Marcia Pastrana Miami, FL, United States
When someone says " let's use AI" I typically agree with restrictions. To be used as a tool, double check and don't rely on it for risky decisions
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Erin Kelly Lutherville, MD, United States
balancing the "I am excited about the possibilities of AI" stakeholders with the "AI is coming for my job, so I'm not interested in using it" stakeholders is a thing I need to often sort at the start.
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Hajime Yano Ph.D., PMP| Japan Aerospace Exploration Agency Kanagawa, Japan
I need to break down their reasons why they need AI: time, QCD triangle balance, complexity of the issues, shortage of staff, etc.
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Ehsan Shafia Product Manager| G&J Resources Inc. Toronto, Ontario, Canada
When there is a intention to use AI for a work, it could signal that there is a large volume of data that need to be proceeded or a huge amount of repetitive works, need for prediction / risk assessment based on the lessons learned from other projects
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Anonymous
When someone says we should use Ai, it's normally driven by a need for speed rather than adopting and implementing new technologies. Careful judgement is required.
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MOHIT MAHESHWARI Functional Manager| Balrampur Chini Mills India
That is the "Efficiency Trap." When people say "use AI" to save time, they often mistake AI for a magic shortcut rather than a complex tool.

While AI can speed up content generation or data sorting, setting it up often requires more resources upfront—specifically for data cleaning and prompt engineering—before you see any "quick" results. If you treat it as a generic "faster" button, you risk skipping the critical testing phase, leading to "hallucinations" or errors that take twice as long to fix later.

True AI efficiency isn't about cutting corners; it’s about front-loading the effort into data readiness and clear parameters so the every phase of project can actually accelerate.
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