Dear Deloitte, You're Asking the Wrong Question

Why generational surveys keep missing the real story, and what a mindset-driven approach would reveal instead

Deloitte just published their 15th anniversary Gen Z and Millennial Survey. It is, as always, a substantial piece of work: 22,595 respondents across 44 countries, 53 pages of carefully curated data, and a narrative arc that stretches from financial anxiety through AI adoption to leadership ambivalence. The report is titled “Progress on Their Own Terms,” which is itself a telling phrase. It suggests these generations are choosing a different path. The implication is that the path is different because they are a different generation.

That assumption is the problem.

The report divides the entire working population into two buckets based on birth year. You are either a Gen Z (born 1995-2007) or a Millennial (born 1983-1994). Then it draws conclusions about what “Gen Zs” think, what “millennials” want, and how “these generations” behave. The numbers are presented as though the generational label is the causal variable. It isn’t. It can’t be. And pretending it is doesn’t just flatten the data, it obscures the genuinely useful patterns hiding underneath.

What the Report Actually Found

Before I challenge the framing, let’s give the findings their due, because many of them are important and several are directly relevant to anyone building teams, brands, or strategies right now.

The “Maybe Later” generation is real. Cost of living has been the top concern for five consecutive years. Over half of both Gen Zs and millennials have delayed major life decisions. Forty-seven percent live paycheck to paycheck. This is not a generational quirk. It is an economic condition.

AI adoption is surging ahead of organisational readiness. Seventy-four percent of both generations now use AI at work, up from roughly 56% a year ago. They’re using it for learning, career advice, and managing stress. But 30% say their organisation isn’t prepared for AI, and 84% of companies haven’t redesigned jobs around AI capabilities. The people are ready. The structures aren’t.

Leadership is conditional, not rejected. Only 6% say leadership is their primary career goal. But 76% of Gen Zs and 67% of millennials still want senior leadership eventually. They don’t want the burnout, the unsustainable hours, or the loss of flexibility that currently comes with it. They’re willing to lead, but on different terms.

Purpose is non-negotiable. Ninety-six to ninety-seven percent say purpose at work is important to their job satisfaction. Forty percent have rejected an employer based on personal ethics. And workplace friendships dramatically increase retention, by 15 percentage points for Gen Z and 18 points for millennials.

Mental health is improving but stress is structural. Sixty-three percent of Gen Zs and 66% of millennials rate their mental health as good, up significantly from last year. But nearly half still feel burned out, and digital fatigue affects more than half of both groups.

All of this is valuable. None of it requires a generational label to be true.

The Problem with Generational Thinking

Here is the fundamental issue. When you group 22,595 people by birth year and average their responses, you get a headline. You do not get a human being.

The Deloitte report treats “Gen Z” as though it were a personality type. It isn’t. It’s a demographic convenience. Within any generation, you will find people who are driven primarily by connection and belonging, people who are driven by competence and mastery, people who are driven by autonomy and novelty, and people who are driven by security and stability. These are not generational traits. They are human traits. They exist in every generation, in roughly similar proportions, because they are wired into the human operating system.

This is the core insight of the STAR Framework, which maps human motivation across four fundamental mindsets: the Socialiser (driven by relatedness), the Thinker (driven by competence), the Adventurer (driven by autonomy), and the Realist (driven by security). Each of these mindsets produces fundamentally different responses to the exact same workplace conditions, regardless of whether the person holding them was born in 1986 or 2003.

Let me show you what I mean.

The Same Data, Read Through Mindsets

Take the finding that only 6% of Gen Zs and millennials say leadership is their primary career goal, but 76% want it eventually.

Read through STAR, this isn’t a generational story at all. It’s a mindset story.

The Adventurer doesn’t prioritise leadership in the traditional sense because traditional leadership comes with bureaucratic constraints, rigid reporting lines, and procedural overhead. These are autonomy killers. But give an Adventurer a mandate to disrupt, a team to rebuild, and the freedom to do it their way, and they’ll take the role tomorrow. The Deloitte report captures this when it notes that flexible work arrangements and clearer paths to leadership increase interest. What it doesn’t capture is that an Adventurer and a Realist in the same generation want flexibility for entirely different reasons. The Adventurer wants freedom to experiment. The Realist wants predictability in their schedule.

The Realist looks at leadership and sees risk: longer hours, more responsibility, less stability, more exposure. The Deloitte report identifies “stress/burnout” and “excessive responsibility” as the top barriers. But it treats this as a generational consensus. It isn’t. A Realist sees these as fundamental threats to security. A Thinker sees them as threats to the quality of their analytical work. A Socialiser sees them as threats to their relational bandwidth. The behaviour looks similar from the outside. The motivation is entirely different.

The Thinker is interested in leadership only if it comes with structural authority to improve systems. They don’t want to manage people for the sake of managing people. They want to fix processes, eliminate inefficiency, and ensure decisions are evidence-based. The report notes that “only about one-quarter of each generation say decisions are largely top-down and that employee feedback is rarely acted upon.” A Thinker reads that and thinks: the system is illogical. A Socialiser reads it and thinks: the system is excluding me. Same data point. Completely different internal response.

The Socialiser wants leadership that expands the circle, not closes it. They are interested in roles where they can mentor, connect people, and build culture. The Deloitte report finds that workplace friendships dramatically increase retention. A generational reading says: Gen Zs value friendship at work. A mindset reading says: Socialisers of any age value friendship at work, and organisations that ignore relational infrastructure are losing their most connected people.

AI Adoption: A Mindset Story Disguised as a Generational One

The AI chapter is where the generational framing does the most damage.

Seventy-four percent adoption. Widespread use for learning, career advice, and stress management. But 30% say their organisation isn’t prepared. The top barrier is “lack of knowledge and experience.”

The generational reading: young people are tech-native and adopt AI faster than their employers.

The mindset reading is far more useful.

The Adventurer adopted AI six months ago. They’ve already found three workarounds, built two custom prompts, and are frustrated that their organisation hasn’t caught up. Their barrier isn’t knowledge. It’s organisational constraint. They’re being held back by compliance requirements that feel like red tape. The Deloitte report identifies “compliance requirements limit use” as a top-three barrier. For an Adventurer, this is suffocating. For a Realist, it’s reassuring.

The Thinker is evaluating AI carefully. They want to understand the logic, test the outputs, and verify accuracy before relying on it. The report notes that more than one-third don’t trust AI to produce accurate or unbiased outputs. That’s not a generational hesitation. That’s a Thinker doing what Thinkers do: auditing the system before committing to it.

The Realist is cautiously adopting AI where it’s been sanctioned, approved, and integrated into existing workflows. They’re not resistant. They’re methodical. They want to know it’s safe, supported, and won’t create downstream problems nobody’s thought of yet. The report finds that 62% of Gen Zs and 60% of millennials say their workplace AI tools could be improved. A Realist says: obviously. The tools were rolled out without proper integration, training, or support structures. That’s not a tech problem. That’s a planning problem.

The Socialiser is using AI to connect, learn, and support others. Seventy-nine percent use it for learning and development. Seventy-two percent use it for career advice. Sixty-seven percent use it to cope with work-related stress. A Socialiser doesn’t see AI as a productivity tool. They see it as a coach, a sounding board, and a support system. The generational framing masks this entirely.

If you’re an organisation designing your AI strategy around the assumption that “young people are comfortable with AI,” you’re designing for the wrong variable. You need to design for the mindset distribution within your team. Your Adventurers need sandbox environments and the freedom to experiment. Your Thinkers need transparent models and verifiable outputs. Your Realists need clear governance and proven workflows. Your Socialisers need collaborative AI tools that enhance connection, not replace it.

One generational label. Four entirely different strategies.

Purpose and Connection: The Oldest Story in the Human Operating System

The Deloitte report dedicates an entire chapter to purpose, and finds that 96-97% of Gen Zs and millennials say it’s important to their job satisfaction. It frames this as a generational shift: “This represents a 10-point increase for Gen Zs and an 8-point increase for millennials over the past three years.”

But purpose is not a generational discovery. It is a fundamental human need. Self-Determination Theory, one of the most robust frameworks in motivational psychology, identifies relatedness, competence, autonomy, and security as basic psychological needs. When these are satisfied at work, people thrive. When they’re thwarted, people disengage. This has been true since long before Gen Z was born.

What the Deloitte data may actually be capturing is not that younger workers uniquely value purpose, but that they are more willing to act on it. Forty percent have rejected an employer based on personal ethics. That’s not because older workers don’t care about ethics. It’s that younger workers have less to lose, fewer dependent obligations, and more alternative options in a skills-based economy. The behaviour is circumstantial, not generational.

A Socialiser has always needed to feel that their work matters to people. A Thinker has always needed to feel that their work is intellectually honest. An Adventurer has always needed to feel that their work is breaking new ground. A Realist has always needed to feel that their work is contributing to something durable. The need didn’t arrive with the iPad. The willingness to enforce it through career decisions did.

The Cost of the Wrong Frame

Why does this matter? Because the generational frame leads to generational solutions, and generational solutions are blunt instruments.

If you believe Gen Zs value flexibility because they’re Gen Z, you create “Gen Z-friendly” policies: flexible hours, casual dress codes, and Slack channels with emoji reactions. These are fine. But they miss the Adventurer who wants flexibility to experiment at 2am and the Realist who wants flexibility to pick up their children at 3pm. Same policy. Completely different human need.

If you believe millennials are “delaying” leadership because of generational caution, you create mentorship programmes and reverse mentoring schemes. These are also fine. But the Thinker delaying leadership because the systems are illogical needs something fundamentally different from the Socialiser delaying leadership because the culture is cold. The intervention must match the mindset, not the birth year.

If you believe AI adoption is a young-person thing, you design training for “digital natives” and assume the problem is age-based resistance. But the 55-year-old Adventurer in your finance team is already three custom GPTs deep. The 24-year-old Realist in your marketing team is waiting for the official policy before they touch it. Age is not the variable. Mindset is.

What a Psychographic Report Would Look Like

Imagine the Deloitte survey, but instead of dividing respondents by birth year, it divided them by motivational profile. Not a personality test, not a Jungian typology, but a mapping of fundamental psychological drivers: relatedness, competence, autonomy, and security.

You would immediately see patterns the generational frame obscures.

You would see that Adventurers of all ages are the ones adopting AI fastest and most creatively, and that they are also the most frustrated by organisational constraints. You would see that Realists of all ages are the ones most concerned about AI governance, and that they are the most likely to adopt it once clear policies exist. You would see that Socialisers of all ages are using AI to enhance connection and support, not just productivity. You would see that Thinkers of all ages are the ones auditing AI outputs for accuracy and bias.

You would see that the leadership gap isn’t generational reluctance. It’s that current leadership structures disproportionately frustrate Adventurers and Realists for different reasons, and that the conditions that would attract them back are not the same conditions.

You would see that purpose isn’t a young-person trend. It’s a universal human need that is being expressed more forcefully in a world where the old social contract, stable employment, predictable progression, institutional loyalty, has eroded. When the external scaffolding falls away, internal drivers become more visible. That’s not a generational story. That’s a psychological story.

And you would have data that leaders could actually use. Not “Gen Zs want X.” But “Adventurers in your organisation need Y, and here’s how to design for that, regardless of their age.”

A Respectful Challenge

Let me be clear: the Deloitte report is good work. The data collection is rigorous, the sample is large, the longitudinal comparison adds real value, and many of the findings are genuinely important. The AI readiness gap is real. The financial pressure is real. The improvement in mental health outcomes is worth celebrating.

My challenge is not to the data. It’s to the frame.

When you average 22,000 people by birth year, you lose the very thing you’re trying to understand: why people make the choices they make. The “why” is not in the demographic. It’s in the psychology. It’s in the motivational architecture that determines whether someone sees AI as a liberation or a threat, whether leadership is a calling or a trap, whether purpose is a luxury or a necessity.

The STAR Framework doesn’t compete with generational surveys. It provides the lens that makes the data useful. It says: don’t ask what generation they are. Ask what drives them. The answer to that question is the same across every generation, because it’s not a generational question. It’s a human one.

David Chadderton is the creator of the STAR Framework, author of The STAR Framework: Rewriting The Rules of Consumer Engagement (2025 NYC Big Book Award winner), and Chief Marketing Officer at Homes for Students and VervLife. He writes The Unoptimised Human on Substack.