Jordan ManosFederal Credential Manager| Federal Acquisition Institute (FAI)Frederick, Md, United States
I have definitely been in conversations where everyone says “AI,” but they are all talking about completely different things. Some people mean tools like ChatGPT, others mean automation, and some are thinking about data analytics or prediction models. Usually the clue is in what outcome they expect AI to deliver. What tends to go wrong is that everything gets lumped together, which creates unrealistic expectations and confusion about what AI can actually do. I have found the best way to cut through that is to ask what specific problem they are trying to solve before jumping to “we should use AI.” Saving Changes...
Phong TruongPlant Manager| PNJ ProductionHo Chi Minh, Viet Nam
Thanks for sharing about this topic, AI is not an optional, it's mandatory.
AI is often positioned as a tool to drive productivity and efficiency, and it does, but its true value lies in enhancing thinking, processes, and outputs, not replacing them. Without a strong foundation of knowledge, AI can generate content that is misaligned or fails to address the real problem. It is an enabler, not a substitute for expertise, and it’s critical that people using AI understand it is not a single source of truth, but a tool that must be guided by informed judgment. Saving Changes...
Vivian EmmanuelMs| Artee Group Industries LtdMosalashi Surulere, Lagos, Nigeria
Very insightful perspective. One of the biggest risks organizations face today is not lack of AI adoption, but lack of clarity around ownership, decision-making, and accountability. “Capability increases while accountability erodes” is a powerful line because it captures the exact tension many businesses are struggling with. AI should strengthen human judgment and governance, not quietly replace responsibility. Saving Changes...
The first thing is to clarify what AI means. Human beings are using AI from more than 50 years ago. We are surrounded of AI entities embeded inside refrigerators, air conditioners, cell phones, etc, etc, Unfortunately in the last time some people and organizations are contributing to the general confusion using generative AI as a synonim of AI.
I had came cross of a lot's of people who have concern about Ai in a way of imagining in the skaynet arrival and the other kind of people who are ambitious about using it . Personally i get garbed by topic discussions that include Ai. It represent to me the vast amount of technology and intelligence that available right now in the world and how it's continues growing , once the discussion is over immediately i will start using that Ai tools mentioned in the topic after evaluating it objective and i will start to understand about it and figuring out a way how i can harness this intelligence and use it to make me more efficient . THOSE WHO STAND AGAINST THE ADVANCE WILL STUCK IN THE PAST. AND THE HISTORY ALAWYSE PROVE THAT TECHNOLOGY REVELOTION ALAWYES WIN.
Totally agree. I’m just starting to learn how AI can help me. I’ve used it for simple tasks so far like summarizing complex material. Looking forward to learning more! Saving Changes...
One of the biggest signals for distinguishing different types of AI work is the expected outcome—whether the goal is automation, prediction, or content generation. For example, if the focus is on insights and forecasting, it’s likely predictive AI; if it’s about creating text, images, or code, it points to generative AI. What often goes wrong is when everything gets labeled simply as “AI” without clarifying the use case. This can lead to unrealistic expectations, poor tool selection, and misalignment with business objectives. I’ve definitely been in conversations where “AI” meant different things to different stakeholders. Usually, I notice it when requirements are vague—like “we should use AI to improve efficiency” without defining how. That’s when I step in to ask clarifying questions about the problem we’re trying to solve, the data available, and the desired outcomes. In my experience, the key is to shift the conversation from “using AI” to “solving a specific business problem with the right AI approach.”
Thanks for your post. This is exactly what I am experiencing in my collaborations. What is lacking is the intention. What specific outputs do they want from AI is the critical information we need to pull. Saving Changes...
Today there are many different AI tools for different purposes . So ot is very inportaqnto to clearly define our expectatives about what we anto ro obtain from AI in orde to choose the most appropiate tool Saving Changes...
I agree with others who have said that it generally means "How can we not get left behind?" The challenge is driving the conversation about why we need AI for this project and identifying how it adds value. Saving Changes...
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