We don’t talk about this enough:
Teams don’t fail because of bad strategy. They fail when someone starts rationalizing their effort.
“I’ve already put in too much time.”
“This isn’t going anywhere.”
“There’s no ROI.”
“I’m not feeling it anymore.”
If you’ve ever heard those words—you know it’s over.
Because what breaks a team isn’t misalignment.
It’s when one person emotionally checks out… and justifies it with logic.
And here’s the harsh truth: you can’t logic someone back in.
You can’t force them to fall in love with a mission again.
Just like marriage—when someone decides the struggle isn’t worth it anymore, it’s already dead.
I’ve seen it happen. I’ve lived it.
As a professor. As a founder. As someone who’s tried to build things that mattered.
And I can tell you this:
The best teams aren’t built on convenience.
They’re built on irrational grit.
The kind that says: “This is hard. We’ll keep going anyway.”
Not because it’s efficient.
Not because the spreadsheet says so.
But because something deeper drives them—something unmeasurable.
Call it love. Call it stubbornness.
Call it refusing to quit when you know what you’re doing still matters.
It’s not about psychological safety.
It’s about the act of getting back up, again and again, when things break.
So here’s what I look for now:
Are they going to get back up—no matter what?
Are they responsive when it’s ugly, not just when it’s exciting?
Are they okay with starting over and still pushing forward?
Because if they aren’t, the team’s already broken.
And no ROI calculation will fix that.
You know what makes me most excited about artificial intelligence?
It’s when I see viral posts on Facebook, LinkedIn, whatever platform—people outing others for using AI. Someone includes the wrong kind of prompt in a research paper, and suddenly… it’s a scandal. It’s a rejection. People get really, really upset.
And honestly? That’s the moment I start paying attention.
It’s uncomfortable. It’s weird. But these uncomfortable, weird moments?
They’re almost always signs of a massive shift.
It’s the same feeling people had with Galileo and the telescope. That thing only magnified by 3 to 10 times, and still—he looked at the sky, and people freaked out. He didn’t benefit from it. But the world changed.
I remember when people had to switch from typewriters to WordPerfect.
It made everyone furious. Teachers didn’t want to learn a new system.
It felt like everything was falling apart.
Same thing with Uber and taxis.
With Airbnb and the hotel industry.
With Napster and the entire music business.
People were outraged—until they weren’t.
People got upset about electricity.
They got upset about disposable diapers.
They got upset about the horseless carriage.
They got upset about Spotify, about Google Docs, about Grammarly.
Heck, even the microwave was controversial when it showed up.
We don’t like transition. We like control.
And so here we are again—freaking out over artificial intelligence.
But if you do realize it, you can stop blaming the wrong thing.
You can stop calling AI “cheating” and start asking:
What is this discomfort trying to tell me?
Because this shift we’re going through—it’s bigger than research.
It’s going to hit physicians.
Architects.
Manual laborers.
Construction workers.
Teachers.
Therapists.
Probably even dog groomers.
I’m not saying it’s perfect.
I’m not saying it won’t replace some things.
But here’s what I am saying:
The laws won’t lead us.
They’ll follow.
Just like they always do.
And no—we’re not going back.
We never do.
You don’t un-invent the car.
You don’t un-send the email.
You don’t stop the music once it’s streaming.
So maybe—just maybe—it’s time we stop being afraid.
Maybe we stop calling it cheating and start asking:
What would happen if we embraced this shift?
If we leveraged it?
If we used AI to build things we actually want?
To make our lives a little easier?
To multiply what we already do well?
These moments—the ones that make you uncomfortable, make you hide, make you fight—
they’re just growing pains.
We’ve had them before.
We’ll have them again.
You don’t have to love it.
But you might want to pay attention.
Because we’re not going back.
If you are building some form of software or doing new product development, you will never feel like you have enough time. Lots of people out there have a little startup or they are trying to build something, and that is a big part of what this channel is about. I just want to explain what has happened and why I am talking about this. I try to document all of the things I am going through.
I am a real life professor. My job is normally to do research most of the time, 80 percent of the time, and 20 percent is to teach, plus all the emails and administrative stuff. I am always doing research, and I am building the R3ciprocity Project in between all of these moments. It is foolish to jump into something without a safety net, so you do it on your part-time until you get the damn thing working. But you never have enough time at any given moment.
We started on a project back in May. It is now late October. I was really excited about this feature because I think it is quite revolutionary. You can call it the TikTok of science. It went live today. I planned for so long to be excited about it, but when it went live I realized I cannot tell anybody because I have to get to work. My wife is at home. She is a doctor, a veterinarian, and she gets one day off a week. I cannot stay at home to talk about it, so I have to do it from my car. It feels like this endless sense of not having enough time.
I need to publish a book. I need to put it together. I never have enough time. My work is my priority, my family is my other priority, my health. I am trying to do it in all these moments. When something spectacular happens, people say “just do this,” and you think: I have no time. You have to forgive yourself and realize it is a long journey. It is always going to feel like it is not working out. That is the name of the game. That is what it means to do something entrepreneurial. At any moment you feel like it is falling apart. You feel like you are falling apart. You keep trying to put this thing together until you get the damn thing to actually work.
Everything always feels broken. You always feel broken, but you get back up and do it again and again. If you do not have unlimited funds, it is very different than a job. It is about being embarrassed. The whole thing is feeling like you do not know what you are doing.
There is a difference between grad school and entrepreneurship. In grad school you do not know what you are doing, but entrepreneurship adds the element of doing it in public. People think you should not do things in public, but it will never work unless you do it in public. It is a combination of being nervous and uncertain, but doing it in the public eye at any given moment. You feel embarrassed and wish you could have things put together, but you do not have the right answer.
If you are doing this, just know it is a 30-year commitment of being embarrassed and feeling stupid until you get the damn thing to work. If it works and it takes off, maybe it cuts down to five years. But until then, it is a long commitment where you do not know what you are doing and you keep trying every day. If you have it in you, you realize it is just a journey. The whole thing is fun, exciting, and interesting at any given moment.
All right, take care, and have a wonderful day.
I love building something raw — and letting everyone see the mess.
That’s the point of the R3ciprocity Project.
There’s uncertainty.
There’s embarrassment.
There’s a lot of “I have no idea what I’m doing.”
But I keep going.
Because what I’ve realized — in startups and in academia — is that we have a strong culture of hiding.
Hiding failure.
Hiding doubt.
Hiding how much of this is just making it up as you go.
Here’s the wild part:
I’ve read thousands of articles. I’ve studied innovation for two decades.
I have an engineering degree.
I’m a professor.
And still, I don’t always know what I’m doing.
And that’s the truth no one says out loud.
Instead, we tell people they’re wrong for feeling lost.
Or we pretend it’s easy — that everyone has it figured out.
And that makes it worse.
We don’t talk about how much comes down to connections.
To having a parent who can fund your startup.
To being in the right room at the right time.
To having the “right” people give you a chance.
And when people like us try to do it legitimately, transparently, and slowly…
We feel like failures.
But we’re not.
We’re just playing the game differently.
Building R3ciprocity has been messy.
I’ve spent way too much money.
I feel guilty I can’t pay my team more.
I wish it had worked faster.
But I keep showing up.
Because I know this is what real work looks like.
If you’re struggling —
If you feel like you’re the only one who hasn’t figured it out —
You’re not alone.
You’re just doing the hard thing, honestly.
And that’s the part we don’t talk about enough.
People think being a professor is easy.
You sit around, read a few books, teach a few classes, and write the occasional paper.
But that’s not the reality. Not even close.
I’ve talked to Olympic athletes, bankers, folks from construction—and many of them say the same thing after stepping into this profession:
“I had no idea it would be this hard.”
Because here’s what nobody tells you:
Being a professor means spending years creating ideas that no one believes in.
You wake up every day and try to convince some of the smartest, most skeptical people on the planet that your idea is worth hearing.
And you do it alone. Quietly.
For years.
It’s not just intellectually demanding—it’s emotionally brutal.
And every single day, I ask myself:
Should I quit?
The writing.
The reading.
The isolation.
The rejection.
You’re always behind. Always not doing enough.
Ten pages a day? Still not enough.
Hundreds of pages of reading? Still not enough.
And the reward? Often a silent desk and another anonymous review that dismantles your work in a paragraph.
The truth is, this job messes with your head.
The data proves it: doctoral students and faculty have some of the highest rates of depression of any professional group.
Because we are wrestling—not just with ideas—but with ourselves.
And you can’t fake it.
If you care about truth, if you work with real data, the job gets even lonelier.
Because you see the mess. You see the complexity.
And you know that what’s “publishable” isn’t always what’s true.
So why do I stay?
I’m still figuring that out.
But I think it has something to do with making peace with the grind.
Trying—somehow—to turn the isolation into something quiet and sacred.
And finding ways to detach from the metrics, from the pressure, from the impossible standards we set for ourselves.
Because if I don’t…
This job will eat me alive.
If you’re in it too—if you’re trying to do good work, trying to hold onto some joy, trying to stay kind in a career that often doesn’t reward it—then this one’s for you.
You’re not alone.
And yes, it’s this hard for all of us.
I’ve hit every milestone I was supposed to hit.
I got the degrees.
I earned tenure.
I published the research.
I’m raising a family.
I even built a platform to help other researchers.
And still—most days, I feel like I’m failing.
Not because I’ve failed.
But because perfection culture has trained people like us to believe we’re never enough.
In academia, in parenting, in life—we are constantly being measured, ranked, judged, and compared.
We’re told that if we just optimize one more thing, maybe then we’ll finally feel successful.
But it never works.
In this video, I’m sharing what it feels like to finally admit that I’m not perfect—and why that may be the only thing keeping me sane.
If you’re exhausted from pretending you’re okay…
If you feel like you’re doing everything “right” and still feeling empty…
This one’s for you.
This isn’t about giving up.
It’s about letting go of the illusion that success means you have to be flawless.
Let’s talk about what really matters.
I think about mental health a lot—especially mental health at work.
Most of us were never taught how to manage the invisible stuff. Not in school. Not in research. Not even in our families. It’s only in the last 20–30 years that people even started talking about mental health outside of medical journals. And even now, most of what we see is snapshots. Clean. Marketable. Sanitized.
But life doesn’t feel like a snapshot.
It feels like managing thoughts late at night.
Trying to nudge yourself from the bottom quartile to feeling just okay.
Wrestling with who you are when everything looks fine on paper.
Doing all the tricks—music, walking, not oversharing, trying not to fall apart.
I talk about this stuff not because I have answers. But because I’ve lived it.
Because I think we need more real, human-generated data—not just survey stats.
Because this is what research life actually feels like.
Take care. And if you’re struggling, you’re not broken.
You’re just alive.
Not the pitch decks. Not the TED Talks. Not the LinkedIn wins.
But the quiet moments of anxiety. The constant doubt. The deep embarrassment of putting something out into the world before it’s ready—and maybe before you are.
In this podcast, Professor David Maslach (creator of R3ciprocity) shares a brutally honest take on what it actually feels like to build something real—when you have no funding, no roadmap, and no clue if it will work.
This is for the people in the middle of the mess, trying to build anyway.
simple:
1. Generate knowledge
2. Turn it into real-world solutions
3. Repeat—with joy
But instead of pretending that this happens in a perfectly rational system, I want to remind people: it’s allowed to be fun.
Serious progress can come from play.
Deep insight can come from silliness.
The point is to keep going, and keep trying—even when it feels pointless.
Most days, I feel like I’m failing at everything.
I’m trying to be a good dad.
A good husband.
A good son.
A good professor.
A good person.
And most days—I feel like I’m not doing enough in any of those roles.
Like I’m stretched so thin, I barely exist in any of them.
But I still show up.
Not because I have it figured out. Not because I’m successful.
But because I believe there are people out there who feel the exact same way—and think they’re the only ones.
You’re not.
I talk about what it’s really like to live in that space where you’re trying hard, giving what you can, and still wondering if it matters.
I also talk about what it’s like to build something—like the Reciprocity Project—when you’re not confident, not famous, and not sure anyone’s listening.
This isn’t a success story. It’s a survival story.
And if you’re in that place right now, this is for you.
I’m going to say something that might sound extreme:
If we got rid of higher education as we know it—college, university, all of it—maybe we’d be better off.
Why?
Because most people don’t actually want to learn.
They don’t care. They’re checked out. And no message—no matter how true or kind—seems to land unless it’s already preaching to the choir.
And yet… I keep going.
Because I know this: real education moves the needle.
But only when people take it seriously.
Only when they do the hard work.
Only when they show up—again and again—even when it’s miserable, boring, thankless, and lonely.
I’ve lived it.
I’ve seen what this kind of work does to a life.
You don’t see it in the moment. You don’t feel it in your bank account.
But give it 10 or 20 years, and it changes everything—your class, your identity, your capacity to survive.
This episode is for the person who’s being laughed at right now.
For the person who’s grinding and feels invisible.
For the one who wants to quit because the gains feel too far away.
Keep going.
It’s supposed to be hard.
And yes, it feels stupid while you’re doing it.
But one day, someone will come up to you and say: “I wish I had done what you did.”
And that moment will be worth it.
We’re taught in school to look for a single best answer. One multiple-choice question. One correct option. Select A and move on.
But the real world never works like that.
Most of the time, the answer is never given to you.
Most of the time, you don’t even know what the question actually is.
In real life, the “answers” are never independent. They’re highly connected in weird ways. If you select A in the first question, the response in the second question might be B. Or D. Or something you didn’t expect at all.
And when you actually interact with the world, you realize you just don’t know. There isn’t a straight answer. There isn’t even a clear question. You have to piece together artifacts of this very complicated world and make sense of it yourself.
The central problem is this: people wait to be told the right answer.
But it’s not going to present itself that way.
You have to figure out what you’re even asking.
Then decide what you will call the correct choice based on what you see.
And the only way to build that skill is by pushing against the world. Saying “screw you” to the idea of a single right way. Doing something. Seeing what happens.
It’s always going to be a complicated interactive mess.
But you learn by doing. Not by waiting.
It’s not lost on me how wrong management theories often are.
I read a lot. And I know this sounds pretentious, but I’m confident enough now to say I’m one of the few people who actually studies platforms and builds one. The only reason I got here is because I’m building the Reciprocity platform with my own money, my own time, and all the embarrassment that goes with it.
And that’s why I see how disconnected management theory often is from the real world. We rarely capture what it feels like to actually build something — the shame, the failure, the stress, the weird looks, the feeling of being an outsider, and doing the “wrong thing” for years before anything works.
Nobody writes about how hard it is to get attention.
Nobody writes about being stuck in the middle — too practical for academia, too theoretical for builders.
Nobody writes about waking up, wasting money, screwing up, and getting back up again.
Students talk about innovation.
Big companies talk about innovation.
But almost nobody actually does it — because it’s humiliating, slow, lonely work.
The only reason I understand this now is because I was foolish enough to build something real. And once you do that, you realize how little our theories explain and how much of innovation is simply:
get up, feel the shame, try again.
Take care and have a wonderful day.
I built the most powerful research tool I have ever used — more impactful than AI. It lets you compare ideas, generate abstracts, and get instant feedback. I don’t know why researchers keep scrolling past it.
I keep hearing that academia is dying.
That we’re in an existential crisis.
That peer review is broken. That the system is collapsing.
And I get it.
I’ve been deeply concerned about parts of it, too—especially peer review. When it’s bad, it’s almost useless. But when it works, it’s beautiful. And hard.
Still, I don’t buy the narrative that we’re watching the death of the academic system.
Because one thing organizational theory teaches us—if we’re really paying attention—is that you can look at the same system in multiple ways. And when I step back and squint, academia starts to look like something much simpler:
A distributed network of smart people paid to think.
That’s it. That’s the whole thing.
Strip away the institutional formalities, the politics, the performative routines—and what we’re left with is still valuable. Because even if universities crumble or AI replaces traditional processes, there will still be demand for smart people solving hard problems.
And if the public systems fall apart? Private ones will emerge.
Will they be better? Maybe. Worse? Maybe.
But they’ll exist—because thinking has value.
In this episode, I explore why I’m not afraid of the supposed collapse of academia.
I’m actually kind of excited.
Because the system was never perfect.
And maybe what comes next could be even more alive.
Sometimes I’ll see a new bill passed or read a shocking headline—and my first reaction is the same as yours: “What the hell is happening to the world?”
I’ll get grumpy. I’ll vent to my wife. I’ll think, “This is dumb.”
But then I stop.
Because I’ve learned that we, as human beings, are terrible at making sense of complicated systems.
Even if something seems obviously harmful—or genuinely is harmful—it’s often impossible to know what the actual long-term effects will be. The systems we live in are too complex. You move one piece, and another shifts in a direction you never saw coming.
We teach this in business schools all the time. But we forget it when the world feels uncertain.
In this episode, I talk about why we get suckered into overreacting to things we barely understand. Why even smart people with lots of data still get it wrong. And why real change—like with climate tech—often comes from places we least expect.
I talk about China, capitalism, solar panels, and storms. But really, I’m talking about how hope still survives in complexity. And why stepping back doesn’t mean giving up—it just means seeing the system for what it is.
If you’ve felt overwhelmed by the news, this episode is for you.
Not because I’ll tell you what to think.
But because I’ll remind you that it’s okay not to know right away.
There is absolutely far too much hype around innovation.
I say that as someone who teaches innovation for a living and then tried to build something myself.
I have spent unbelievable amounts of time, effort, and money on the Reciprocity platform. And the great irony is that it was meant to help researchers in a field that talks nonstop about innovation. Yet when you look around, almost no one actually innovates. Not really.
At the beginning, I fell for the hype. I read all the good stories. I believed the models. But once you try to build something in the real world, you see how big the selection bias is. We only hear from the winners. Nobody counts the people who tried for a week or two and quit because they were crushed by the psychology of it.
The truth is this: most innovation is not technical. It is emotional.
You have to sit with your own failures. You have to feel like an outsider.
You have to speak into the darkness and hope someone even cares.
And you have to keep going when it feels like nobody does.
I misunderstood how hard that would be.
And I am still trying.
There is a lot of mystery and ambiguity around the career of a researcher or scientist, and the general public often gets it wrong. Reporters and commenters talk about science in a certain way, but when you are in it, you know it does not work that way at all. Different domains are very different in how they operate in the scientific way, and there is a lot of nuance that people never see.
What the public thinks we actually do is striking, and these misperceptions pass to policymakers and government analysts. Even popular science shows report things like the number of citations, but that is one of the most meaningless things in terms of what good science really is. More citations does not mean better science.
Good work needs depth, nuance, and looking at the world in a different way. There are big differences in scientific effort across fields. Some work is very good, and some is easy to see as not very good at all. You see it fast when you look at abstracts, even my 13-year-old could spot it.
People also think science is full of facts, but real facts are very hard to come by in a world with so much uncertainty. Science is probabilistic, complex, and never as clear as it looks. Better understanding of probability, science, and even financial literacy would help people understand it all a lot more.
We need more clarity about how science actually gets done, why ideas repeat, why norms develop, and why science is not the simple story most people imagine.
Is Business Strategy Just Luck, Privilege, and Repetition?
Over time, I have become increasingly cautious about what strategy truly means. I have spent much of my career studying it, teaching it, and trying to apply it. Yet the longer I engage with the topic, the more I have come to wonder whether we sometimes overstate what we can actually achieve.
Respecting the Tradition
It is important to acknowledge that the study of strategy has given us remarkable insights. The field has taught generations of scholars to think about positioning, competitive advantage, and the careful use of scarce resources. These ideas have shaped me deeply.
The narrative assumes that we can diagnose a situation, marshal our resources, and execute a well-chosen plan. Yet when one examines real world examples as it actually unfolds—in markets, in careers, in scientific discovery—the connection between deliberate planning and eventual success appears less direct to me.
The Invisible Forces: Luck and Social Position
Much of what we observe as performance may be better explained by forces that are rarely incorporated into our models of organizational life: luck and social position. Luck determines when and where one is born, who crosses one’s path, and which events unfold unexpectedly in one’s favor. Social position shapes access to information, status, and networks that magnify opportunity.
None of this invalidates the importance of strategy. It simply means that strategy often operates within constraints that are difficult to see and even harder to measure.
If luck and position matter so much, what remains within our control? The answer lies in gumption and humility, rather than perfect decision-making. The causes of success and failure are often intertwined.
In such a world, the most strategic capability may not be the ability to choose perfectly, but the ability to continue acting (gumption) when the outcomes are unclear. It is not brilliance, but endurance, or… stupidity.
The Engine of Performance: Gumption and Faith
I have grown to see persistence as the quiet foundation beneath every form of performance. Those who continue to show up, to be curious, and to believe that improvement is possible—despite repeated setbacks—often discover forms of success that were invisible.
To me, this does not diminish the value of strategy; it deepens it. It reminds us that deliberate planning must coexist with faith. Something we have known for all of humanity.
⸻
The Humility to See Complexity
The traditional tools of strategy remain valuable, but they describe only one slice of a vast, open, and adaptive system. Recognizing this should not make us cynical—it should make us humble.
True strategic insight may not come from trying to control the world, but from patience, grace, and joy.
Strategy, at its core, is not about mastery.
It is about learning to move forward through muddy messes—again and again—while still believing that tomorrow can be brighter than today.
There is a lot of discussion about the validity of science right now.
Researchers talk endlessly about how to make results “more valid,” how to fix problems, and how to improve the system.
But here is what I actually think.
It is not about “bad apples.”
It is almost never about that.
The real issue is culture.
And culture often comes down to one or two people inside a community who stress performance above all else. Those one or two people create tension. They make others feel lesser than. They make you feel like you are the problem. And then everything starts to bend around that pressure.
This is true everywhere.
Every organization. Every department. Every field.
You can feel it when the conversation becomes only about outcomes:
number of citations, number of papers, number of grants.
All lagging indicators. All terrible predictors.
My field in strategy does this constantly.
It is completely wrong.
And it has been wrong for a long time.
A lot of this came from the old Jack-Welch-style management thinking of the 1980s. That mindset seeped everywhere. It made people believe outcomes were all that mattered. Just hit the number. Hit the target. Hit the metric.
But if you look at the research coming out of the systems-dynamics world at MIT — the Sterman group especially — the story is always the same:
When you focus on outcomes, everything erodes.
Eventually it all falls apart.
Because outcomes are not the thing that matters.
What matters is whether people feel safe.
What matters is whether people feel supported.
What matters is whether there is unconditional kindness in the room instead of fear.
You fix culture, you fix science.
And none of that starts with performance.