The AI Edge… at What Cost? How to Navigate the Ethics of AI
What would you do if your new secret weapon at work—AI—started to make you uncomfortable? Not because of the tech itself, but because it’s suddenly possible to outpace your coworkers, leveling up your personal output so much that the boss starts wondering,…
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What would you do if your new secret weapon at work—AI—started to make you uncomfortable? Not because of the tech itself, but because it’s suddenly possible to outpace your coworkers, leveling up your personal output so much that the boss starts wondering, “Wait, do we need all these people?” If that question’s ever crept into your mind—maybe with a little twinge of guilt—you’re not alone.
The New Reality: Embracing AI Without Losing Our Values
I’ve been there myself, staring down that same ethical crossroads. Using AI in marketing, content, or pretty much any profession right now, isn’t just about hopping on the productivity train. It’s also about wrestling with what kind of colleague, leader, or human you want to be as automation shakes up the workplace.
So, here’s how I navigate these waters—and what you can put to use in your own work life when you start chasing 10x results with AI.
First, Let’s Reframe the Question
Don’t look at it as, “Is it wrong to learn AI if it might push my coworker out?” Instead, treat this as a conversation about values, not just tools.
That twinge you feel? That’s a sign you care. It means you’re coming at this from the right angle—one where you want to advance, but not at anyone’s expense. Let’s lean into that.
Three Mental Models That Keep Me Grounded
- The Lifeboat Analogy: Imagine AI isn’t a tool, but a rising tide. Learning to use AI isn’t about putting others overboard; it’s about grabbing a life jacket before the water gets higher. Honestly, refusing to learn just means you’ll be swimming upstream alone when the inevitable tide rolls in.
- AI Replaces Tasks, Not People—Leaders Make the Difference: Here’s the thing: AI automates tasks, not entire personalities or skill sets. The choice to cut staff or reinvest in people lies in the hands of leadership. I always push for companies to redeploy and upskill people, not just get leaner. AI can mean you get more done with the same team, not less work for fewer people.
- Ethical Voices Belong at the Table: If you don’t push for responsible, human-centered uses of AI, someone less ethical just might. Be the advocate who brings care, compassion, and a human edge to the conversation.
What AI Can’t Replace (and Where You Excel)
I like to think of this as “the human edge.” Even as AI gets slicker, there are things it simply can’t do, such as:
- Have beliefs or values. AI can mimic but not originate them.
- Use lived experience or gut judgment. It’s great at pattern matching—less so at nuanced discernment that comes from years on the job.
- Build real, human-to-human relationships.
AI amplifies your productivity, but it can’t replicate your wisdom, taste, or empathy. If you bring those elements front and center, you stay irreplaceable, no matter how smart the tech gets.
Leadership: Don’t Just Go “AI First”—Go Human First
If you’re leading a team or a whole company, here’s what works better than chasing every shiny new tool:
- Start the conversation early and often: Invite your team into dialogue about what adopting AI will mean for your group, your values, and your vision for the future.
- Let “human first” drive your approach: Companies that rush to automate everything risk eroding their culture and the quality humans bring—especially on customer support. I much prefer what I’ve seen from organizations that enhance (not replace) their teams with AI and move people into new, more valuable roles as the tech handles the busywork.
- Use AI to empower, not eliminate: If you gain productivity, use the breathing room to build and redeploy—not shrink and cut.
Practical Steps to Keep Workplaces Human (and AI-Enhanced)
- Communicate proactively about changes. It builds trust and reduces fear across your team.
- Upskill and reassign staff wherever possible. Let AI take the drudge work and move your people into new, creative, or more impactful spots.
- Push for a “human first, AI-driven” culture—not just in words, but in daily actions.
- Encourage open discussion around ethics and the future of work. Those small, honest conversations can shape big organizational decisions.
Advocate With Humility—Because That’s the Human Way
Stand up for your teammates, for ethical tech adoption, and for a future where work is both smarter and kinder. But—here’s my neighborly advice—do it with humility and a gentle hand, not with anger or self-righteousness. The goal is to build consensus, not resentment.
If you find yourself wrestling with ethical tension as AI becomes a workplace norm—good! That’s exactly the sort of mindset we need influencing how these tools are used and how work evolves.
Let’s Build This Future the Right Way
So, whether you lead a team or are just getting started, take the reins. Advocate for a workplace that’s “human first, AI-driven.” Find ways to blend the best of both worlds and create an organization that grows in capability, not just output, as new technologies hit the scene.
Stay human, lead with care, and let’s make this future—together.
Frequently Asked Questions
What ethical questions should marketers ask about AI?
Marketers should ask whether AI use is truthful, respectful, privacy-aware, brand-safe, transparent when needed, and aligned with the audience’s best interests.
Can AI be used responsibly in marketing?
Yes. Responsible AI marketing keeps humans accountable, verifies claims, protects customer data, avoids manipulation, and uses AI to serve rather than deceive people.
What should marketers avoid with AI?
Marketers should avoid fake proof, misleading images, fabricated testimonials, hidden manipulation, privacy violations, and over-automation that damages trust.
Why does human judgment matter with AI?
Human judgment matters because AI can generate plausible but wrong, biased, generic, or ethically risky outputs that still need review.
How can teams build safer AI workflows?
Teams can use clear policies, review checkpoints, source requirements, approval processes, and documented use cases for AI-assisted work.
In this AI marketing podcast episode, Dan Sanchez gets real about the ethical dilemmas AI-powered marketers are starting to face. What happens when your AI-driven efficiency starts threatening the roles of your coworkers? Dan shares a personal moment of hesitation on stage and uses it to spark a candid conversation about responsibility, leadership, and a human-first approach in an AI-driven world. He offers three powerful mental models to guide ethical decision-making and introduces the “Human Edge” framework to ensure people don’t get left behind.
Links:
- My Favorite AI Tools ChatGPT - https://openai.com/
- High Level Marketing Platform - https://danchez.com/highlevel
- AI Podcasting Tools - https://danchez.com/podtools
- n8n AI Automation Platform - https://danchez.com/n8n
Timestamps
00:00 – The ethical question haunting AI-driven marketers
00:40 – Real-life tension on stage: avoiding the hard answers
01:40 – Why fear is a good sign: values over tools
02:30 – Three mental models for navigating the AI dilemma
04:40 – Introducing the “Human Edge” framework
05:50 – The call to leaders: Don’t go AI-first, go human-first
06:50 – Klarna vs. Salesforce: Cautionary tales and best practices
07:30 – Practical advice for marketers and executives alike
Speaker: I've been wrestling with a question. Maybe you have too. What if your new AI superpowers lead to some of your coworkers getting laid off? What if your boss looks around, sees your 10x productivity as an AI driven marketer and starts to see some of your other teammates is just overhead?
Speaker: If you've even felt a twinge of guilt over this topic, you're not alone because this isn't just theoretical anymore. Like this is becoming reality. I had a question live as I was speaking on stage from the crowd just two days ago.
Speaker: And I found I was kind of dancing around this the answer of how to handle this ethically as somebody who's even advocating for AI-driven work in general. And I found I danced around it. i didn't really have a good answer. So I wanted to record this one episode as an answer to that question, not only for myself, but for you.
Speaker: as people who are starting to use AI to become so much more productive ah that they can move faster, build better, and work smarter? How do we deal with that when it comes to the ethics and the fact that it might make some of our coworkers obsolete?
Speaker: Welcome back to the AI-Driven Marketer. I'm Dan Sanchez. My friends call me Danchez. And today is not a practical deep dive. Today is but a very practical question that I think we're all going to have to wrestle with and give an answer for.
Speaker: And that is dealing with the ethics of becoming much more product productive with AI and looking at our coworkers as somebody who aren't maybe and maybe not they're not keeping up and we want to be able to keep around.
Speaker: So how do we actually address this ourselves internally and then with others as they question our are ah publishing AI content or talking about what we're doing with ai The first part is I just want to reframe the question.
Speaker: The question is like, how can I learn AI when it might get my coworker the boot, right? That's that's the question. Like, how could I do this if it leads to this bad outcome? But I want to reframe that question for just a second.
Speaker: This really isn't about tools so much. It's about values. The fact that we have a healthy fear about learning this stuff and what the outcomes of it might be is actually a really good sign.
Speaker: that we care, right? There's a reason why it feels ah uncomfortable when you wrestle with this question. It shows that you care. It shows that you actually have the right values.
Speaker: So I want to offer three mental models that we can kind of use in order to navigate the question. The one is what I'm calling the lifeboat analogy. AI is like the rising tide.
Speaker: It isn't unethical to learn. It's practically going to be survival. Refusing to adapt doesn't stop the wave of it coming. It just means that we're actually going to be able to float when it comes. And I'm over here with the AI-driven marketer show trying to throw as many lifelines out as possible.
Speaker: The next mental model is that AI doesn't replace people. It replaces tasks. It only replaces people when leadership chooses to do so. which is why I'm advocating for companies to keep the people and redeploy them in more helpful ways, wherever it makes sense, re-educate them. So they also become AI driven and help them to learn and grow. Keep the people, especially if you're able to,
Speaker: ah like redeploy them and get more productivity out of them, you should be able to get more done and become more profitable, right? So instead of cutting costs to improve margins, AI should be used as a way to do more for much less.
Speaker: And my last mental model is that if we don't do it as the people who actually care, then we're leaving it for the unethical people who don't care, right?
Speaker: So we wanna be the ones advocating and pushing for the new tool because the new tide is coming. The wave of AI is here and it's good it's going up. you know So it's like, it's not slowing down.
Speaker: If we're not the ones who learn how to leverage it, lead our companies with it, then we leave it to chance of who's going to be leading this new endeavor into ai And I don't know about you, but I'd much rather be the one advocating for people and their strengths um while letting AI augment a lot of the tedious work that they're currently doing so they can be elevated to do more work, creative work, and more people-oriented work, the things that AI just can't possibly do.
Speaker: I'm personally even pushing this idea called the human edge framework because I've recognized there's a lot of things that AI can't do. AI can't have core beliefs. It's given core beliefs.
Speaker: AI can't have experience. It can't have judgment and discernment based off real world experience because it's never lived before. It's never actually had to do the hard things and felt the pain of doing them.
Speaker: It only pattern matches. It only looks for what's likely to come next after that word or that image or that pixel. That's all that it does. It needs your discernment. It needs your taste. It needs your experience in order to do well.
Speaker: it does It can't rep replace step in for human-to-human relationships. It can't be a person. It has no personhood. And because of all those things, we still need humans at the helm making this thing run.
Speaker: That's what I'm advocating for. I'm advocating for the human edge. I'm advocating for companies to keep all their employees, helping them become AI-driven so that company can go farther, faster, and smarter together.
Speaker: So stand with me as I advocate for these things. And I think it will make a difference. I think not all companies will just lay off and right size their organizations because of the new gains, but can actually drive farther.
Speaker: Eventually, they're going to grow and have to hire those new people back. So let's advocate for companies keeping people, redeploying them into better spots, helping them educate and become more AI driven themselves.
Speaker: Now, if you're a leader, I'd highly recommend sitting down with your team and inviting them into the process early and often. Like have the conversations about what it means to be AI driven, what your values are and what you intend to do as a leader.
Speaker: If you're a CEO listening to this podcast, please sit down with your whole organization and talk about how you value people. Do not use the terms we want to become AI first. No, you want to become human first.
Speaker: it it screams It screams that you don't care about people when you talk about becoming AI first. So please, like, leverage your people. Educate them. Redeploy them.
Speaker: Maybe some attrition happens and you don't hire back as fast. That's fine. That's what Salesforce is currently doing, and they're doing a good job of it. They're just hiring a little slower because of the new productivity gains they're seeing on code and customer support.
Speaker: Don't let everybody go. Don't be like Klarna, the company that let their whole... customer service go. And now they're trying to hire back because, of course, maybe on the first tier, AI does okay. But on the second and third tier support calls, humans were doing much, much better.
Speaker: And Klarna's had a horrible run at it over the last couple of months with their service. Don't do what Klarna did. Do more of what Salesforce is doing. Do more of what Dave Ramsey is doing in keeping people.
Speaker: So sit down with your team, invite them in early and often to the conversation. Talk about how you're using AI to enhance them, not replace them. And if you're just a marketer at the bottom of the totem pole, then advocate for a human ah human first approach.
Speaker: It might be AI enhanced, it might be AI driven, but advocate for that human first approach within your team, within your company. Do it wisely, do it humbly.
Speaker: don't Don't be a jerk in advocating for these because I don't know what it is with advocacy. Advocacy like ah has become a word that means like be a jerk because we're fighting for what's right and justice gives us the right gives us permission to be angry.
Speaker: and mean and a jerk when it comes to advocating for your position don't do that do it humbly do it graciously do it peacefully but advocate for it nonetheless so that's kind of where i've landed with this thing and this is going to be an ongoing conversation if you're feeling the tension in this if you're feeling there is some issue and some ethical concerns when it comes to embracing ai good.
Speaker: You're the kind of person that I want leading the charge when it comes to adopting AI, helping teams adopt AI, and leading the future of marketing because it shows that you care.
Speaker: Let's go at this thing together and make the difference with AI we want to see while being human first, but AI driven. In fact, I think that's a phrase that just needs to become a thing, right? Human first, AI driven. There you go.
Speaker: So stay human and let's build this thing together.
