AI’s power is miraculous and transformative. Because of that, using it to avoid thinking altogether is a constant temptation (also referred to as “lazy AI writing”).

In this post, we’ll examine lazy versus strategic AI writing, with examples of each, and what to check when it’s time to bring the critical human factor into the mix.

Lazy AI Writing Limits What You and AI Can Do

Evidence suggests that letting AI do all the thinking could have a negative effect on our cognitive abilities.

A 2025 MIT study reported that students who exclusively used AI to write essays showed weaker brain connectivity, lower memory retention, and less ownership of their work. And, according to the study, elements of these patterns lingered after AI usage ceased.

When it comes to AI in the workplace—especially if you’re a time-stressed leader—there’s an emerging risk called cognitive offloading. Essentially, that’s delegating the analysis, drafting, and decision-making entirely to LLMs versus thinking for yourself.

Other research has shown that when people over-rely on AI they don’t think as deeply and critically, and remember less of what they produce. Before AI, we had to do our own background research, digest what we’re writing about, and apply our expertise on the subject.

Turning everything over to a machine, however, reduces that level of knowledge. Analysis and decision-making are left to AI rather than using it to support your expertise. 

If it’s a business presentation we’re talking about, you’re not as prepared to answer important questions or provide further context, which is not good by any standard.

It’s safe to say that any type of lazy AI usage can severely limit the possibilities of what could (or should) be. Even with very specific prompts, AI is trained on broad data sets. That means it’s prone to generate homogenous content and inaccurate results.

Strategic AI Writing: Using AI to Accelerate Your Thinking

AI only knows what it knows until you apply the “exclusively you” elements. That means asking yourself the right questions so that AI writing workflow is strategically and informationally on point.

In essence, what do you ultimately want to achieve in terms of audience, objectives, and outcomes? What expertise can only you provide?   

By adding relevance and specific context, AI’s supercharged quick results are more accurately framed around what you’re looking for.

In other words, you’re using AI to accelerate your thinking without replacing your judgment.

PULL QUOTE (larger): “You’re using AI to accelerate your thinking without replacing your judgment.”

That judgment is everything to determining the success or failure of your AI-assisted project. Not only does this eliminate vagueness and expose inaccuracies, it often reveals additional data that leads to further, more effective prompts.

“I see AI as a great sounding board,” says Theresa Ellsworth, a TWFH writer who recently blogged about  blindly trusting AI and where AI falls short. “Sometimes seeing an answer, even an imperfect one, is enough to trigger a better idea or help me clarify what I’m really trying to say.”  

The point is that you and AI should be partners, with you leading the charge. You can’t do it all, and neither can AI. But, as with so many things in life, two heads are better than… well, you know.

Lazy Versus Strategic AI Writing Examples

Let’s take a hypothetical scenario to show how lazy and strategic prompts differ.

Situation: You’re the VP of Sales for a company that develops a range of specialty chicken spice rubs for the restaurant industry. Your goal is to briefly summarize how to get your products into more independently-owned restaurants. Your audience is primarily executive chefs, who need to know how you will partner with them to create more menu opportunities.
Lazy Prompt	Strategic Prompt
Write a short summary on how to sell more chicken seasoning to independently-owned restaurants.	Write a short summary targeting chefs of independently-owned restaurants on how specialty chicken spice rubs can differentiate their menus, improve flavor consistency, and create premium menu opportunities. The tone should be one of desired partnership and willingness to listen to their concerns.
Assessment: The difference is obvious, of course. All it takes is applying a little extra knowledge. That shouldn’t take much time considering you’re already well-versed on the subject.

Now, let’s look at another hypothetical related to a common real-world task: using AI to write emails. In this instance, we’ll include how AI might actually respond.

Situation: You’re an insanely busy VP of sales that develops spices for restaurants. Your team has recently set yet another record month—a team you mentored and value highly. You must immediately send them an email to acknowledge their success. With virtually no time to write it, you turn to AI.

Lazy Prompt Write me an email to my sales team congratulating them on another record month.

AI Output I want to take a moment to congratulate each of you on achieving another record-breaking month. This accomplishment is a direct reflection of your hard work, dedication, resilience, and commitment to delivering exceptional results for our clients and our company. While the numbers are impressive, what stands out even more is the way you continue to support one another, embrace challenges, and maintain a focus on excellence. The momentum we’ve built together is something to be proud of. Thank you for your efforts, your determination, and the energy you bring every day. Take a moment to celebrate this success—you’ve earned it. Then let’s continue building on this momentum as we pursue even greater goals in the months ahead. Congratulations on another incredible month. I am proud to be part of this team and excited about what we will accomplish next.

Assessment: This email could have been written for virtually any sales team at any company. You’ve basically sent a form letter which lacks anything that’s uniquely yours. If you send it as is, the team may not feel so appreciated.

Let’s try again using a more strategic prompt.

Strategic Prompt Write me an email to my sales team for achieving another record month for our company in foodservice spice sales. Talk about what our products do beyond the flavor they provide for our customers. Make it energetic and personal.

AI Output I couldn’t be more proud of what this team has accomplished. Every month, you continue to raise the bar, and somehow you find a way to raise it again. That’s not luck—that’s talent, hard work, determination, and a relentless commitment to our customers. What makes this achievement even more special is knowing what we’re really selling. We’re not just developing and supplying spices. We’re helping restaurants create memorable meals, delight their guests, and build loyal customers. Every conversation you have, every relationship you strengthen, and every opportunity you create helps bring incredible flavors to tables across the country. This record belongs to every member of this team. Whether you were closing new business, supporting existing customers, solving problems, or helping a teammate succeed, you played a role in making this happen. Celebrate this win. You’ve earned it.

Assessment: Okay, this is still pretty generic and includes a grammatical misfire (“more proud” should be “prouder”). But the second paragraph adds relevant context giving you something to go on. You can immediately see where you can make it better within the limited time frame you have.

Think of it this way, whatever you produce with AI impacts people. It might affect their jobs or have some personal meaning. Regardless of the objective, your reputation is at stake in one way or another.

That alone makes strategic AI use a must.

We’re all told at various times, “use your noggin” which simply means to think for yourself and use common sense. The same applies when reviewing AI output.

AI agrees, from this unedited ChatGPT exchange:

Human Prompt

Briefly summarize the most important reasons AI needs human interaction.

AI Output

AI is powerful, but it still relies on human interaction for several critical reasons:

1. Context and Goals – Humans provide the business objectives, audience needs, and situational context that AI cannot fully infer on its own.

2. Accuracy and Validation – AI can make mistakes, misinterpret information, or generate unsupported content. Humans verify facts and ensure reliability.

3. Judgment and Decision-Making – AI can analyze options, but humans apply experience, ethics, and strategic thinking to make final decisions.

4. Industry Expertise – Specialized fields often require domain knowledge, regulatory awareness, and operational insights that must come from subject matter experts.

5. Creativity and Nuance – AI can generate ideas, but humans refine messaging, tone, and emotional impact to connect with real audiences.

6. Continuous Improvement – The quality of AI output depends heavily on human guidance, feedback, and refinement throughout the process.

In short, AI accelerates work and expands possibilities, but human expertise provides the direction, judgment, and accountability that turn AI-generated content into useful, trustworthy results.

Could a human make this better? You betcha. And even AI knows it needs you to get where you need to be. That also includes prompting AI as to what you don’t want it to include, which can be as important as what you do want.

The Future: It’s Not About Who Uses AI, But How We Use It

In the future, there will be two things we can count on: Human nature and AI. Humans will always want an easy solution, and AI will always be there to make it happen.

We are the living, breathing embodiment of the AI process, and AI is smart enough to know that.

Just ask it.