#AI4M: Gen Z Tells Chatbots Everything and Likes AI Less Than a Year Ago

Sarah, a 20-year-old NYU student, was asked how much personal information she hands to her chatbot. “I think about it for a little bit and then I think, well, it already knows all these other things about me.”

That is a 20-year-old summarizing a generation’s privacy calculus in one sentence.

Sarah was one of three panelists in their 20s at an event in OpenAI’s Manhattan office, hosted by youth trends writer Casey Lewis. Katie Deighton covered it for the WSJ Leadership Institute (“The Secret AI Lives of Gen Z,” The Wall Street Journal’s CMO Today, August 27, 2026). This article is quite short and easy to summarize in class on a slide or two. Four things came out of the conversation:

1. Privacy is not a priority — the group talks to chatbots about workouts, dating, and friendship problems without much thought about what they upload.
2. AI can be the healthier screen: Eitan, a 24-year-old chef and content creator, uses voice mode to cut screen time. “I can put an AirPod in, go for a walk, and if I need to, come up with a bunch of concepts for, let’s say, a brand that I’m pitching, instead of sitting on my computer.”
3. AI-made content still gets tuned out — Eitan assumes every ad he sees has been touched by AI, but he is put off by the ones that look like they came straight out of a prompt.
4. And AI has scrambled the first year on the job. Zoe, a 27-year-old advertising executive, used AI to write pitch slides six months into her first job; her boss found the findings were all wrong. Her company was pushing everyone to use AI more at the same time.

Three panelists is a small sample. The survey behind them is not. Gallup’s Voices of Gen Z study (April 8, 2026; 1,572 respondents aged 14 to 29) found 51% of Gen Z use generative AI at least weekly, essentially unchanged from 2025 — while excitement fell 14 points to 22% and anger rose nine points to 31%. Eight in 10 say AI will likely make learning harder for them. Employed Gen Z-ers say the workplace risks outweigh the benefits by more than three to one.

Your students use it constantly and feel worse about it than they did a year ago. That contradiction is the class.

Claude was used to write a first draft of this blog post.

Relevant Chapters in Essentials of Marketing

This article offers a good discussion opportunity when you cover Chapter 5 (final consumers and their buying behavior). The chapter separates an attitude, a person’s point of view toward something, from a belief, a person’s opinion about something — and it makes the point that beliefs can shape attitudes without involving any liking or disliking. Gen Z’s AI numbers split along exactly that seam: half use it weekly, curiosity is the most common feeling at 49%, and excitement sits at 22%. Chapter 5 also opens on Apple, which built its brand around data protection and used App Tracking Transparency to strengthen brand trust and customer loyalty. Sarah’s answer is a warning about how far that positioning carries with a generation that has already handed the machine everything.

Chapter 3 (evaluating opportunities in the changing market environment) could be another connection. Its #AI4M box on ethical considerations states that AI-driven personalization runs on vast amounts of consumer data, and that companies without transparency in AI-driven interactions risk eroding trust and drawing regulatory scrutiny. The panel shows the consumer half of that warning: the data keeps flowing even while trust drops. Chapter 3 also tells managers to watch technologies that might affect their industry and to do contingency planning for the opportunities and threats. The data-center protests and the wave of pre-AI nostalgia memes Deighton mentions are a shift in the cultural and social environment, and firms that only track the technology will miss it.

There is also a fit with Chapter 15 (advertising and sales promotion). This Chapter’s ethics section says outright that even with more control over their data, many people do not pay much attention to warnings or to chances to share less data. That is Sarah, in a sentence, before Sarah said it. On the creative side, Chapter 15 teaches copy thrust and the AIDA job list, and it says getting attention is an ad’s first job. Eitan’s complaint is an attention problem — the ads that look prompt-generated lose him before Interest ever starts. A quick nod to Chapter 16 as well: the panelists framing a chatbot as a better use of a screen than doomscrolling is a change in how a generation spends the time that owned and social media are competing for.

Class Discussion Ideas

The useful angle here is the gap between what Gen Z does and what Gen Z feels. Use dropped nothing while excitement dropped 14 points, and the students in the room are the survey respondents. The activities below ask students to check the panel against their own behavior, then decide what a marketing manager should do with a market that uses a technology it does not much like.

In-Class Activities

• Spot the Prompt. In small groups, show six current ads — some AI-generated, some not, and do not say which. Groups score each on whether it got their attention and held their interest, then guess which ones used AI. Reveal the answers and discuss what the tells were and whether the tells actually hurt the ad. (Chapter 15)
• The Disclosure Debate. Assign four roles — brand manager, agency creative director, a Gen Z customer, and a consumer advocate — and debate one question: should our next campaign disclose that AI was used to make it? Each role argues from its own interest, then the class votes. (Chapter 3 or 15)
• First 90 Days Memo. In teams, have students write the one-page AI policy they would want handed to them on day one of their first marketing job, given what happened to Zoe. It must say what AI may be used for, what a person must verify, and who is accountable when the output is wrong. Teams swap memos and stress-test them. (Chapter 19)

Discussion Questions (and Answer Ideas)

1. Chapter 5 distinguishes an attitude from a belief. Sarah thinks about privacy “for a little bit” and then shares anyway. Which is that, and does it predict her behavior? (Chapter 5)
   • Answer: Her position is closer to a belief — an opinion that the chatbot already knows a great deal about her — than an attitude, since she expresses no strong liking or disliking. Chapter 5 warns that attitudes are imperfect predictors of purchase behavior, and this case is stronger evidence than usual: her stated concern and her actual behavior point in opposite directions. Students should notice that a survey asking Gen Z how they feel about AI privacy would badly overpredict how much data they withhold.
2. Gallup found weekly use flat (from the previous year) at 51% while excitement dropped 14 points. What does Chapter 5’s learning process suggest about why use held steady? (Chapter 5)
   • Answer: The chapter’s sequence is drive, cue, response, reinforcement, and repeated reinforcement produces a habit that makes the decision process routine. Once AI use becomes a habit, it no longer requires a positive attitude to keep going — the reinforcement already happened. Some students will argue instead that switching costs or workplace pressure explain the flat number, and both are defensible.
3. Chapter 3 warns that firms lacking transparency in AI-driven interactions risk eroding trust and facing regulatory scrutiny. If consumers keep handing over data regardless, does that warning still hold? (Chapter 3)
   • Answer: Yes, because the chapter names two enforcers, not one. Consumer trust may not punish a firm quickly, but regulators and advocacy groups can, and Chapter 3 treats the legal environment as its own force. Students should also weigh the reputational side: Gallup shows anger rising nine points, and anger is a poor thing to accumulate in a market you plan to sell to for 40 years.
4. Eitan assumes AI touched every ad he sees, yet only the prompt-looking ones turn him off. What does that mean for copy thrust? (Chapter 15)
   • Answer: Chapter 15 says getting attention is an ad’s first job, and Eitan’s reaction happens at that first step. The tool is invisible to him; the absence of human judgment is not. The teaching point is that AI use is a production decision, while copy thrust — what the words and pictures should communicate — is still a marketing decision the manager owns. Some students will argue Eitan is not typical and that most viewers cannot tell, which is fair and worth testing against the Spot the Prompt results.
5. Zoe’s employer told her to use AI more and then told her the AI-assisted work was wrong. Is that a training problem, a policy problem, or a marketing problem? (Chapter 19)
   • Answer: Open by design. The strongest answers connect it to Gallup’s finding that Gen Z workers trust non-AI work (69%) over AI-assisted work (28%) — the distrust she describes is widespread, not personal. Students heading into first jobs should leave with a concrete habit: verify the claim, the number, and the source before the deck leaves your hands.
6. The panelists call chatting with AI a healthier alternative to doomscrolling. If that spreads, what happens to brands that built their promotion plan on social media? (Chapter 16)
   • Answer: Chapter 16 builds promotion around earned, owned, and social media, all of which assume the customer is scrolling somewhere a brand can appear. A chatbot conversation on a walk offers no place for a post, an influencer, or a comment thread. Students should be skeptical of how far this goes on three panelists, but the strategic question is real: if attention moves into a private conversation, how does a brand get into it?
7. Pick a brand you buy from. Should it tell customers when AI helped make its advertising? Defend the answer with a specific chapter concept. (Chapter 3 / Chapter 4)
   • Answer: Open-ended. A strong “yes” leans on Chapter 3’s argument for transparency and consumer autonomy, and on a positioning claim the brand can own before regulators require it. A strong “no” argues the disclosure primes the exact suspicion Eitan describes and hands a competitor an advantage for no gain in customer value. Push students to name the target market before they answer, because the right call for a brand selling to Sarah is not obviously the right call for one selling to her parents.