If AI Is in Your Deliverables, Why Isn’t It in Your Conversations?
Navigating Trust, Transparency, and Responsibility in the Age of Artificial Intelligence
The Ethical & Moral Dilemma of AI
I have been torn about AI for some time. As a parent, I worry about the world we are leaving for our children to inherit. AI consumes large amounts of clean water, raising environmental concerns. As a business owner, I see the allure of increased efficiency, but I also worry about how AI may replace certain roles.
Recently, I had the opportunity to take a course on AI and how to build and use it as a teammate. Of course, I said yes. Let’s be honest—it does amazing things. It can handle the tasks you enjoy the least: automating email drafts, synthesizing data, organizing a chaotic day into a strategic plan, providing feedback on sales calls, or suggesting website improvements.
What’s not to enjoy?
A brain at your disposal that doesn’t require you to constantly tap into your own creativity, allowing you to preserve that energy for other priorities while increasing efficiency.
But at what cost?
The Transparency Dilemma: Should Clients Know You’re Using AI?
AI is quietly reshaping the service industry.
Proposals, reports, analyses, and even client communication are now often created with some level of AI assistance. Yet, not many leaders or business owners are openly discussing this shift.
That raises a simple but important question:
Do your clients deserve to know?
One clear benefit of AI is speed. It can make operations faster, more efficient, and more scalable. Clients may benefit from quicker turnaround times, lower costs, and streamlined processes, while businesses save valuable time by automating tasks ranging from mundane to highly complex.
However, there is an uncomfortable truth:
Many organizations are delivering AI-assisted work under the assumption that it is entirely human-crafted. There is often little to no disclosure about AI usage or how client information may be used within AI-supported processes.
This is where the ethical tension begins.
Because, ultimately, this is not just about technology—it is about trust.
If a client believes they are paying for purely human expertise, but part of the work is generated or shaped by AI, does that alter the value proposition?
Not necessarily—especially if the final product is carefully reviewed, validated, and approved by a human professional.
However, failing to disclose AI involvement could erode trust if clients discover it later.
The Environmental Cost of AI
There is another layer to this conversation that is rarely discussed, yet arguably even more important.
AI does not simply affect workflows—it impacts the world around us.
Training and operating large-scale AI systems requires significant energy and water resources. Data centers require extensive cooling systems, and those systems often rely on substantial volumes of water. In 2023, researchers at the University of California estimated that an AI chat session of approximately 20 to 50 questions can consume roughly 500 milliliters of water, depending on infrastructure and location.
This means that when organizations adopt AI—particularly at scale—they are not merely making an operational decision.
They are making an environmental one.
For leaders focused on long-term sustainability, this creates a more complex ethical equation.
If AI helps you deliver work faster:
- Are you also accounting for its hidden environmental costs?
- Should sustainability be integrated into your AI strategy?
- Should clients be informed not only that AI is being used, but how responsibly it is being implemented?
Transparency Is More Than Disclosure
Transparency is not just about admitting AI use.
It is about intentionality.
For service-based businesses, this creates three emerging responsibilities:
Clarity – Be honest about where, how, and with what data AI is being used.
Accountability – Ensure human oversight, verification, and quality control. No AI-assisted document should be delivered without thorough review by a qualified professional.
Responsibility – Consider the broader implications, including environmental sustainability and ethical implementation.
The companies that proactively address these areas will not simply reduce risk.
They will build a level of trust that competitors cannot easily replicate.
Final Thoughts
The reality is that AI is not going away.
Neither are the ethical, environmental, and professional expectations surrounding its use.
The question is no longer whether businesses should adopt AI.
The real question is whether leaders are prepared to stand behind how they use it—with their clients, with their teams, and with the world their decisions impact.
Note
This article was developed with the assistance of AI tools. All perspectives, judgments, and final edits are my own.
