Media & Culture

Gamification Was Never Just Points. But Did It Move Us Closer to Social Media Addiction?

Jennifer Neeley · August 31, 2026 ·

A 2010 gamification framework helps explain how visible points, badges and progress mechanics evolved into today’s harder debate over platform addiction, device dependence, youth safety and trust.

Who this is forMarketing, product, healthcare, education and policy leaders responsible for engagement systems that shape consequential behavior.

When it mattersWhen retention, participation or time spent is being treated as proof that a platform, device or experience is creating value.

In 2010, gamification sounded like a clever digital trick.

Add points. Add badges. Add levels. Add progress. Make the boring thing feel a little more like a game.

That was never the whole story.

I am not writing this as someone who hated gamification. I am writing this because I believed in it.

The better version of the gamification argument was always about influence. Digital systems could shape behavior by making progress visible, feedback immediate, status legible and participation more rewarding. That insight helped explain why people would return to apps, communities, learning systems, wellness trackers, workplace tools and customer programs even when no one was forcing them to.

Bunchball, Inc.’s 2010 paper, Gamification 101: An Introduction to the Use of Game Dynamics to Influence Behavior, captured an important early moment in that shift. It helped popularize the idea that game mechanics could be applied outside games to influence behavior in business and digital products. In my own archive, that paper belongs in the same historical context as my interview with Kevin Spier of Bunchball. It was part of the promotional and intellectual material around that conversation, and it should be treated that way: a third-party historical source connected to an interview, not something I wrote or own.

This article does not reproduce the Bunchball paper, its tables or its diagrams. It cites the paper as a historical artifact and uses the renewed attention around gamification to ask a more current question: what should leaders reconsider now that behavior design is everywhere?

The answer is trust.

And in 2026, that question is no longer theoretical.

The Debate Has Moved From Engagement to Addiction

For years, marketers and product teams treated engagement as a clean word. Engagement meant attention. Participation. Return visits. Usage. Time spent. A sign that people cared.

But the public debate has moved. The question now is not simply whether platforms can increase engagement. The question is whether platforms and devices can become addictive, especially for children, teenagers and people already under stress.

That distinction matters. Engagement can be healthy. A patient portal that reminds someone to complete a form can reduce friction. A learning app that shows progress can help a student keep going. A fitness tracker that gives feedback can make behavior change feel more visible. A community platform can help people feel less alone.

Research on gamified learning reinforces this distinction. Adding game elements can support participation, but outcomes depend on design choices, context, autonomy, age, the task and the user experience. A digital game layer is not automatic evidence of better learning or healthier engagement.

But engagement can also become a trap. A system can be engaging because it is useful, meaningful and trusted. It can also be engaging because it is hard to stop.

That is where the old gamification conversation begins to look less quaint. Points, badges, levels and leaderboards were visible. You could see the game layer. You could recognize the device being used to motivate you.

Today’s systems are less obvious. The phone is in your hand. The notifications arrive before you decide to look. The feed refreshes before you know what you came for. The next video starts without asking. The metric tells you how you performed socially. The platform learns what keeps you there. The device becomes the delivery system for a behavioral loop that can follow you from bed to school, work, waiting rooms, caregiving, commuting and the middle of the night.

That is not just engagement architecture. It is platform and device dependence as a business model.

Why the Meta Settlement Belongs in a Gamification History

On August 26, 2026, Meta and a bipartisan coalition of state attorneys general announced a proposed settlement of a federal child-safety case involving allegations that Facebook and Instagram were designed in ways that contributed to addictive or compulsive use by children. Meta denied wrongdoing. Meta updated its announcement on August 27 to say the judge had approved the agreement, while separate litigation involving social-media harms continued.

The financial descriptions differ by source and condition. The California Attorney General described a payment of up to $17 billion over ten years. Meta described the agreement as approximately $18 billion, with part of the payment tied to whether YouTube and TikTok adopt comparable requirements. Those figures should not be flattened into one unsupported claim, and a settlement is not an admission.

The terms matter because they are not only about content moderation. They are about product design.

The announced teen protections include default daily time limits, overnight blocking, school-hour notification limits, hidden like and reaction counts, a non-algorithmic feed option, autoplay controls, usage prompts, enhanced parental supervision, age assurance and independent oversight.

That list is the story.

It is not a list of objectionable posts. It is a list of behavioral levers: time, sleep, notification, reward, feed structure, personalization, automatic continuation, social comparison and age assurance.

In other words, the legal system is now paying close attention to the same basic question gamification raised early: how do designed feedback systems shape behavior?

But the answer has changed.

What began as visible game mechanics has become a much larger debate about addiction to platforms and devices.

A story inside the story

I loved gamification. That is why this bothers me.

One reason Amy Jo Kim mattered to me is that she interrupted the default origin story. Before gamification became a corporate buzzword that could flatten almost anything into points, badges and dashboards, she was among the early voices making a more interesting argument.

In 2006, Amy Jo Kim and Scott Kim presented Putting the Fun in Functional, about using game mechanics to make useful mobile services more compelling. That was the part that caught me: not tricking people into clicking, but designing participation with more intelligence.

I remember seeing Amy Jo Kim speak and feeling the room shift for me. By then, I had already lived through the first dot-com boom of the late 1990s. I knew what it felt like to watch technology culture get narrated through a heavily male lens: the founders, the coders, the investors, the swagger and the assumption that the future was being built by and for the same narrow room.

Hearing a woman explain the logic of game mechanics mattered. It made the field feel less like another trick from the growth-hacking boys’ club and more like a serious way to understand motivation, community, feedback, mastery and return behavior.

Gamification Was Not Born Only as Manipulation

At the time, one of the lazy assumptions around gaming was that men loved games and women somehow did not. Some of us knew better. What felt exciting about gamification was not simply that it borrowed from gaming. It was that it suggested digital design could understand human behavior in a more textured way.

Around the same period, Jane McGonigal was making a broader public argument that games could help people collaborate, solve problems and imagine different futures, an argument she carried into her 2010 TED talk and her 2011 book, Reality Is Broken.

That origin story matters because it prevents the current debate from becoming too simple.

Gamification was also born from curiosity, community design, learning theory, motivation, play and the hope that digital systems could help people participate more fully.

I do not think gamification was inherently manipulative, and I do not think every engagement feature is harmful. The harder question is what happened as the field moved from visible game mechanics toward systems optimized for attention, habit, personalization, social comparison, device dependence and prolonged use.

When Motivation Becomes Extraction

Gamification is not inherently addiction. A progress bar is not a lawsuit. A badge is not a diagnosis. A streak is not automatically manipulation. A leaderboard can motivate healthy competition. A reminder can support someone trying to build a habit. Feedback can make learning, care, community and behavior change easier.

Not every engagement feature is harmful.

The present question is more precise: when does design meant to motivate participation become a system optimized to prolong use, especially for minors, patients, students, caregivers, workers or people already under stress?

That is the line the industry keeps trying to rename.

The old gamification conversation was about adding visible mechanics: points, badges, levels, leaderboards, progress, missions, status and rewards.

The current system is broader and often harder to see. It can include variable rewards, autoplay, streaks, quantified reactions, infinite feeds, algorithmic personalization, push notifications, usage prompts, social comparison, creator incentives and data-driven recommendations that adapt faster than the user can consciously evaluate them.

A badge tells you what game you are playing.

An algorithmic feed may not.

A phone may not feel like a game at all. It may feel like a calendar, a classroom, a support system, a work tool, a family connection, a news source, a medical portal, a marketplace, a camera, a map and a lifeline. That is part of the problem. The device does not simply host the behavior loop. It makes the loop ambient.

The question is no longer whether game-like feedback can increase participation.

The question is whether participation is still serving the person.

A progress bar was never the danger. The danger was building a world where progress, approval, interruption and social belonging all fit in the same pocket.

From Game Mechanics to Device Dependence

Bunchball’s 2010 framework still matters because it recognized something many leaders were only beginning to understand: digital environments do not merely communicate with people. They train behavior.

People respond when they can see progress. They respond when a system gives feedback. They respond when effort has a visible path. They respond when participation creates status, belonging, mastery, curiosity or a sense that a next step is within reach.

That was useful then, and it remains useful now.

In healthcare, education, customer experience, workplace learning, fitness, financial wellness and community design, leaders still need to understand how motivation works. A system that gives no feedback, no progress, no context and no reason to continue is usually asking people to succeed on willpower alone.

That is bad design.

But the problem in 2026 is not that leaders forgot motivation. It is that many systems learned motivation too well.

The U.S. Surgeon General’s 2023 advisory on social media and youth mental health notes both potential benefits and harms, as well as substantial evidence gaps. It also identifies push notifications, autoplay, infinite scroll, quantified popularity and data-driven recommendations as examples of features that can maximize engagement.

That is the shift.

The problem is not only what people see on platforms. It is how platforms and devices shape attention, mood, identity, sleep, social comparison, impulse and return behavior.

When a system is designed to pull people back again and again, the boundary between engagement and dependence becomes the ethical question.

Why This Matters in Healthcare and High-Trust Environments

The same logic does not stay inside Instagram.

Healthcare, fertility, mental health, education, financial wellness and professional-service brands all want people to take useful action. Complete the intake form. Schedule the consult. Follow the care plan. Understand the options. Return to the portal. Track a symptom. Ask a better question. Stay engaged long enough to make a decision.

Those goals are not inherently manipulative. In many cases, they are necessary.

But high-trust environments cannot borrow the logic of platform addiction and call it patient engagement.

A fertility clinic, mental-health organization, healthcare startup or professional advisory firm cannot afford to treat attention as proof of trust. In those contexts, people are often anxious, overloaded, vulnerable, hopeful, ashamed, skeptical or trying to make consequential decisions with incomplete information. They may need clarity, timing, boundaries and dignity more than they need another prompt.

The same design feature can mean different things depending on the relationship.

A reminder can be care. A reminder can also be pressure.

A progress tracker can support someone. It can also make someone feel surveilled, behind, defective or trapped.

A streak can motivate a healthy habit. It can also turn a person’s self-worth into a metric.

That is why behavior design belongs inside trust strategy. The question is not simply whether a feature increases action. The question is whether the action remains aligned with the person’s interest, capacity, consent and understanding.

The Personal Line I Watch Closely

I also watch these questions closely because of my caregiving role for a sibling living with schizoaffective disorder.

That personal context is not evidence that social media or devices cause serious mental illness. I would not make that claim. It does, however, make me more alert to how digital systems can affect people whose attention, perception, stress level, sleep, social connection and sense of reality may already be fragile.

When you love someone navigating that kind of vulnerability, you notice design differently. You notice whether a system calms or agitates. Whether it clarifies or confuses. Whether it supports connection or feeds obsession. Whether it helps someone step away, or keeps pulling them back into a loop they did not consciously choose.

That is not a reason to panic. It is a reason to pay attention.

The first honest question is whether the system helps someone leave.

What Leaders Should Reconsider Now

For marketers, the lesson is not to stop caring about engagement. It is to stop treating engagement as proof of value. A system can be engaging because it is trusted. It can also be engaging because it is difficult to leave.

For product leaders, retention mechanics are no longer only growth tools. They are risk surfaces. If a feature changes behavior, it deserves an ethical review, not only an A/B test.

For healthcare and wellness leaders, patient engagement should not be modeled on platform dependence. The aim should be informed action, not endless interaction.

For educators, digital literacy cannot stop at content evaluation. Students also need to understand interface design, social proof, metrics, personalization, recommendation systems, notification design and the business models behind attention.

For caregivers, the lesson is not to monitor every click. It is to recognize that design details matter: sleep boundaries, notification defaults, visibility of social reward, algorithmic feeds, autoplay, friction to leave and whether a person can stop without losing connection.

For policymakers, design remedies may matter as much as disclosure rules. The architecture of participation is part of the policy problem.

The executive takeaway

Gamification was an early warning that digital environments do not merely communicate with people. They train people, reward people, sort people and shape what people believe is worth doing next. The strongest question is no longer, “How do we get people to engage?” It is, “What kind of relationship are we training people to have with us, our platforms and the devices that carry us everywhere?”

Historical Source and Rights Note

This article cites, summarizes, discusses and critiques Bunchball, Inc.’s 2010 white paper Gamification 101: An Introduction to the Use of Game Dynamics to Influence Behavior as a third-party historical source provided around the Kevin Spier interview. Jennifer Neeley and JND Global are not identified as the author, copyright owner, commissioner or license holder for that paper. Its continued availability online is context, not evidence of ownership or licensing. This article is Jennifer Neeley’s original current analysis of gamification, influence, platform and device dependence, health behavior, ethics and trust.

Bibliographic citation: Bunchball, Inc. (2010). Gamification 101: An Introduction to the Use of Game Dynamics to Influence Behavior. Bunchball, Inc.

Evaluate the Influence System Before It Becomes a Reputation Problem

If your organization is designing prompts, dashboards, notifications, streaks, AI workflows, patient portals or community loops, do not wait for a trust problem to tell you the system worked too well. Jennifer helps leaders evaluate influence systems before they become reputation problems.

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Continue with Healthcare Advisory, Insights, The Influence Project and Generationisms.

Sources and further reading

Europe’s Top Tech Cities, Revisited: Where Innovation, Talent and Quality of Life Could Move Next

Jennifer Neeley · June 20, 2026 ·

An archive is not a museum. It is a record of what you noticed, what you missed and what the world taught you to ask next. Here I find myself revisiting a post from the archive with a fresh take.

I first wrote about Europe’s emerging technology hubs in November 2015. I returned to the article in June 2026 as part of a larger project: going back through my own archive and testing old ideas against the questions that define my work now.

That is part of what I am developing through The Influence Project, Generationisms and my applied research. I am interested not only in whether an old prediction held up, but in how our assumptions about technology, ambition, work, trust and progress changed around it.

In 2015, my scorecard for a technology city was familiar: founders, capital, engineers, accelerators and digital infrastructure. Those variables still matter. Reading the article now, I was more interested in what the list did not capture.

Where can ambitious people build lives as well as companies? Which places make professional risk possible without requiring personal instability? What helps a city attract talent, and what gives people enough confidence to stay?

Those questions feel especially relevant from California. I was part of the first dot-com boom in the late 1990s, and I have watched the state sell more than sunshine ever since. It sold a working theory of ambition: if you wanted to build the future, you came here, worked harder than felt reasonable, paid more than seemed rational and accepted the trade because the talent, capital and velocity were supposed to be worth it.

California’s 2026 Proposition 40 debate is one reason this old article feels newly relevant. It has pulled wealth, residency, taxes, public services and technology leadership into the same uncomfortable conversation. This is not evidence that companies are already fleeing California en masse. It is a reason to revisit the larger question behind the original article: what makes a technology city worth choosing now?

What Proposition 40 does and does not establish

The California Legislative Analyst’s Office says affected billionaires may respond to the proposed wealth tax in ways that reduce income-tax payments, including leaving California. Its fiscal analysis estimates a possible ongoing revenue decrease of less than $1 billion per year, alongside temporary wealth-tax revenue of tens of billions over several years.

That is an official acknowledgement that behavior may change. It is not proof of a general company exodus.

The Yes on 40 campaign argues that the measure could raise approximately $100 billion for healthcare and that the January 1, 2026 residency date limits later relocation as a way to avoid the tax. Those are campaign claims, not neutral fiscal findings.

KPBS reported on campaign spending, competing migration claims and Sergey Brin’s reported move to the Nevada side of Lake Tahoe. One reported move does not prove a trend. But the public threat of movement has become part of how leaders evaluate risk.

Sometimes the strategic pressure is not only what has happened. It is what credible people believe might happen next.

A tech hub is more than startups and venture capital

My 2015 article relied on the familiar scorecard: founders, capital, engineers, accelerators and digital infrastructure.

Those variables still matter. They are no longer enough.

A serious 2026 location decision should evaluate:

early, growth and specialized capital;
depth in AI, deep tech, health technology, cybersecurity and product leadership;
research commercialization through universities, hospitals and corporate labs;
cost, housing, transportation and quality of life;
worker mobility, healthcare and basic security during career transitions;
institutional trust and regulatory predictability;
the ability to retain founders and employees after the first exciting year.

The old question was where the next startup hub would emerge.

The better question is where ambitious work can remain sustainable enough to keep its people.

Five European hubs, five different strategic bets

The European Commission’s Regional Innovation Scoreboard offers one authoritative framework for comparing innovation performance across regions. It is not a relocation ranking, and Europe should not be treated as one market or one regulatory personality.

The shortlist below is therefore not a declaration of a single winner. It is a map of distinct strategic advantages, informed by the Commission framework and current ecosystem reporting.

London: capital and global access

London remains the most obvious European choice when access to growth capital, global finance, international talent and English-language market entry matter most. Its breadth is the advantage: fintech, AI, life sciences, media and professional services can draw from overlapping networks.

The tradeoff is familiar. Cost and competition can shorten runway and reproduce some of the quality-of-life pressures that make California’s bargain feel less secure.

Paris: enterprise AI and state-backed scale

Paris is increasingly difficult to dismiss as a secondary European technology market. Its research institutions, engineering talent, public investment and enterprise-AI momentum create a credible base for companies building infrastructure rather than another lightweight consumer app.

For founders and companies that need technical legitimacy, large institutional partners and a path to later-stage capital, Paris offers a different proposition from London’s finance-led density.

Berlin: founder energy and international talent

Berlin’s appeal remains cultural as well as financial. It has a strong startup identity, international workforce and lower operating costs than London or Paris, even as housing pressure and bureaucracy complicate the old “cheap Berlin” story.

Its strategic advantage is experimentation: a company can recruit people who came to build a life in the city, not only to pass through a corporate headquarters.

Stockholm: specialization, public trust and sustainable ambition

Stockholm is especially interesting for health technology, fintech, climate and technically ambitious companies that do not need the largest possible city. Its record of globally visible technology companies gives it credibility beyond its size.

It also sharpens the quality-of-life argument. Scott Galloway has described trust, worker mobility, R&D and capital participation as part of Europe’s competitive infrastructure. That is his interpretation, not settled fact, but it points to something location models often underprice: public systems can reduce the personal risk of taking professional risks.

Zurich: research commercialization and deep-tech concentration

Zurich is the specialized bet. ETH Zurich, corporate R&D and the surrounding Swiss research ecosystem make it compelling for AI, robotics, climate technology and life sciences where technical depth matters more than startup volume.

It is not a low-cost alternative. It is a high-capability environment where a smaller ecosystem may offer unusually dense access to research and patient technical talent.

The younger-worker question is not a stereotype

Location strategy also has to account for a changing definition of a good career.

Suzy Welch and Becoming You Labs reported that Gen Z respondents in their Values Bridge research prioritized self-care, authentic self-expression and helping people. Welch reported only 2 percent overlap between the surveyed Gen Z value combination and the values surveyed hiring managers prioritized. The NYU Stern summary and primary white paper provide the methodology and limits.

This does not mean an entire generation is lazy, fragile or unwilling to achieve. It suggests a values mismatch between some younger workers and institutional expectations built around workcentrism.

The next generation of technical talent may still want ambitious work. They may be less willing to accept that ambition requires self-erasure.

A city competing for that talent cannot rely only on salary, nightlife and a famous company logo. Housing, healthcare, transportation, community, mobility and institutional competence become part of the employer value proposition whether the employer controls them or not.

Location is now a trust signal

Where a company chooses to build says something about what it values. The decision signals how leadership thinks about workers, customers, governance, cost and long-term credibility.

For California, the answer is not panic. The location bargain has to be continually re-earned.

For Europe, the opportunity is not to market itself as a cheaper or calmer imitation of Silicon Valley. It is to prove that technical ambition can coexist with quality of life, research depth and institutions people trust enough to build around.

I am not rooting against California. I am watching the bargain change.

The winning technology hub will not merely attract smart people. It will give them enough confidence in the future to stay.

Sources

California Legislative Analyst’s Office, Proposition 40 analysis.
California Secretary of State, qualified ballot measures.
Yes on 40 campaign.
KPBS, reporting on Proposition 40 and migration claims.
European Commission, Regional Innovation Scoreboard 2025.
EU Tech Future, 2026 city comparison, used as a secondary ecosystem source rather than an authoritative ranking.
Scott Galloway, Europe IRL.
Becoming You Labs, Hiring Managers vs. Gen Z Priorities.

An earlier version was published November 9, 2015.

If your organization is making a location, talent or market-positioning decision, explore Strategic Advisory.

Related: Generationisms | The Influence Project | About Jennifer Neeley

Guest Hosting Truth & Justice: What Bob Ruff Told My Students About Trust and Influence

Jennifer Neeley · May 25, 2026 ·

Two boom microphones. A mixer, headphones and laptops spread across a hotel-room desk. Cables everywhere. Bob Ruff leaning over the equipment to get the recording right. It is not a polished studio portrait, and that is exactly why I like these photographs. They show the work behind the conversation.

This episode began with my UC San Diego Division of Extended Studies Influencer Marketing students. They submitted the questions, and Truth & Justice host Bob Ruff invited me to guest host a Friday Follow-Up while he was on the road. I expected a useful conversation for the class. What we recorded was also a close look at how a host earns trust when the audience is not simply consuming a story but evaluating evidence, participating in the reporting process and caring about real people.

I remain grateful to Bob for opening that process to the class.

Two microphones, laptops and a mixer arranged for Jennifer Neeley's guest-host appearance with Bob Ruff. — Two microphones, two laptops and a hotel-room recording setup.

Hear the episode

Truth & Justice released this Friday Follow-Up on March 8, 2019. Bob invited me to guest host, and I brought the questions my UCSD students had submitted. The episode remains part of Bob’s podcast history; this page adds my photographs and the perspective I bring to it now.

Recorded for Truth & Justice with questions from my UCSD students.

What the students wanted to know

Bob Ruff in the foreground with Jennifer Neeley visible behind him during their recording session. — A candid moment from the recording session with Bob Ruff.

The students were not looking for a success story polished after the fact. They wanted to understand the choices behind the audience:

How does a host earn authority over time?
What responsibility comes with mobilizing public attention?
How should a creator distinguish reporting, interpretation and advocacy?
What makes an audience participate rather than merely listen?
What happens to trust when the evidence changes?

Those questions feel even more important now. True-crime podcasts can expose overlooked evidence and invite public participation. They can also turn grief, violence and uncertainty into entertainment. Current journalism and university work on true-crime ethics keeps returning to the same responsibilities: center the people affected, rely on primary evidence, avoid sensationalism and remember that an audience’s curiosity does not erase a subject’s humanity.

That does not make every host a journalist or every listener an investigator. It does mean influence in this setting has consequences.

Why I am listening back now

Jennifer Neeley and Truth & Justice host Bob Ruff smiling together. — Jennifer Neeley with Truth & Justice host Bob Ruff.

I am revisiting these interviews because they capture questions I was already asking through teaching, journalism and early social-media work: who gets believed, how audiences decide to participate and what changes when attention becomes collective action.

Some of the links around my old website aged. Bob’s episode did not disappear, and neither did the central issue.

A podcast audience develops its own expectations, habits and informal rules. Sociologists might describe some of these as norms or folkways: learned ways of behaving that become ordinary inside a group long before anyone writes them down. Psychology helps explain motivation, identification and trust. Anthropology asks us to look at the meanings a community creates together. Marketing metrics can describe the size and activity of the audience, but those other lenses help explain what participation means.

This appearance is separate from my own podcast archive. I am revisiting it because guest appearances can show a different side of the work: the questions I bring into someone else’s format, what I notice about that audience and what still feels unsettled years later.

The most interesting question was never how many people were listening. It was what the relationship between a host and an audience made possible.

Sources and listening notes

University of Texas at Austin, The Evolution and Ethics of True Crime Journalism, April 6, 2025.
Newcastle University, Creating a new code of conduct for true crime content, May 21, 2025.
This interview interview originally aired on the Truth & Justice podcast in March 2019.

For speaking, media, teaching or institutional inquiries, contact Jennifer Neeley.

Continue with Teaching & Executive Education, Speaking & Media, The Influence Project and About Jennifer.

The Most Revealing Interview I’ve Given Wasn’t Really About Marketing

Jennifer Neeley · March 3, 2026 ·

On the Empathy Unbound podcast, Andrew Phipps and I followed the through line from childhood loss and caregiving to the Neeley Trust Framework, generations, platform power, and AI.

I am used to explaining my work in tidy categories: journalist, strategist, educator, caregiver. Andrew Phipps did not let the categories stay tidy.

Early in our conversation on Empathy Unbound, he asked what connects the different chapters of my life. I started with the answer I usually give: interpretation. I have always been interested in what happens between intent and impact, and in the distance between what institutions say and what people actually experience.

Then I went further back.

My father died unexpectedly when I was eight. I became the responsible sibling early. I watched my mother navigate layoffs and learned not to assume that institutions, employers, or systems would catch us when something went wrong. Long before I had language for influence, trust, or platform power, I was watching who was protected, who absorbed the risk, and who got believed.

That is the personal history underneath much of my professional work.

It is why I care about the difference between visibility and authority. It is why I keep returning to the ways generations learn to trust differently. It is why I pay close attention when a healthcare message reduces a frightening human experience to a conversion path. It is why I worry about systems that can simulate empathy without accepting responsibility for what their persuasion does.

The conversation ranges widely because my life and work have ranged widely. We talk about not becoming a mother, caregiving for my brother, burnout, fertility marketing, generational resentment, media power, platform neglect, deepfakes, and AI guardrails. We also talk about optimism, although mine is neither simple nor passive.

It may be the most revealing interview I have given. Not because I arrived intending to confess anything, but because Andrew kept making room for the next honest answer.

When I listened back, I could hear the connection more clearly: I study influence because I have spent a lifetime noticing how power moves through families, institutions, media, technology, and care. Marketing is one place that pattern becomes visible. It is not the only one.

Not every conversation needs to become a framework. This one helped me understand why the personal and professional subjects I have tried to keep in separate rooms have always been talking to each other.

Thank you, Andrew, for creating a conversation spacious enough to hold all of it.

Key Topics in the Empathy Unbound Interview

If you do not have two hours, these chapters offer several ways into the conversation:

Watch and Listen

This conversation was published by Empathy Unbound on February 23, 2026.

Watch the full Empathy Unbound conversation on YouTube.

Prefer audio? Listen to Empathy Unbound on Apple Podcasts.

Continue the Conversation

For strategic advisory, speaking and media, teaching, or institutional partnership inquiries, visit the relevant pathway or contact Jennifer.

Explore The Influence Project and Generationisms for related work on trust, influence, culture, and technology.

JND Global Joined Forbes Agency Council in 2016

Jennifer Neeley · December 14, 2016 ·

Originally published December 14, 2016. This page documents a past JND Global milestone and does not imply current Forbes Council membership.

JND Global accepted an invitation to Forbes Agency Council

In December 2016, JND Global announced that it had accepted an invitation to join Forbes Agency Council, an invitation-based professional council for agency leaders.

The announcement recognized the agency’s work across digital marketing, social media, search, content and management consulting, as well as Jennifer Neeley’s early leadership in digital media and technology.

“We are honored to be recognized as a leading marketing agency and management consultancy, combining the precision of data with the art of marketing communication,” Jennifer said in the original announcement.

At the time, JND Global described its approach as holistic, cross-functional and adapted to client needs. That early combination of evidence, communication and executive judgment continues to inform Jennifer’s current work in Strategic Advisory and Fractional & Interim Marketing Leadership.

About this archive record

This page preserves a dated company announcement for historical and credential-verification purposes. The original release described JND Global as a full-service agency and management consultancy and listed client and platform relationships that may no longer be current. Those claims are not being republished here as present-day affiliations.

For Jennifer Neeley’s current biography, services, media resources and contact information, use the current pages below.

About Jennifer Neeley | Brand Resources | Contact