Competing Priorities Aren’t a Trade-off.  They’re a Test.  Are You Passing?

Competing Priorities Aren’t a Trade-off. They’re a Test. Are You Passing?

“Never half-ass two things. Whole-ass one thing.” – Ron Swanson, Parks and Rec

With all due respect to Ron Swanson, leaders today need to whole-ass two things. In a world of constrained resources, you don’t have enough time, money, or people to put against your highest priority, let alone multiple high priorities.

But if you think you must choose between investing in today or the future, know that you’re most likely choosing between killing your company quickly or slowly.  That’s what “And, not or,” and it’s required in these three areas.

 

 

Development AND Research

“Right now, it’s not sufficient to just keep treading water.” – L. Rafael Reif, former MIT president and current professor of electrical engineering and computer science

“America Is Losing the Innovation Race” screamed the Foreign Affairs article in which Reif detailed evidence that America is falling behind China in electric vehicles, nuclear energy, war technologies, and other areas of critical technology.

Since 2015, as China invested in science and technology to develop the capability to produce high-end products at scale, US federal spending on basic research, as measured in real 2017 dollars, has declined.

Even the research that is funded isn’t keeping up. A paper published in 2022 examined nearly 50 million academic papers and patents from 1945 to 2010 and found a precipitous decline in the “disruptiveness” (i.e. makes previous findings obsolete or pushes the field in a new direction) of research across all scientific fields, including a 100% drop in the physical sciences and a 78.7% decline in computer and communications patents.

The funding story is quite different but no less alarming on the corporate side. Between 1964 and 2022, business funding as a source of R&D funds more than doubled but the vast majority of those funds are spent on applied research (13%) and development (80%), not the type of fundamental research that launches a country forward economically or societally.

 

 

Operators AND Innovators

“It’s a trap” – MBA student

For two hours, we discussed Netflix’s culture: the no vacation policy” policy, the “act in Netflix’s best interest” expense policy, and the management philosophy that stresses hiring people for their expertise and then trusting them to make decisions.

To me it sounded like a dream. So, when I asked who wanted to work for Netflix, I was shocked when not a single hand went up.

To my students, it sounded like a trap.

And that’s ok. Not everyone wants to face the accountability and repercussions of taking risks, exercising judgment, and making decisions.

Companies need people who want to follow processes, become experts in their fields, and keep the business steady and growing. AND they need people who question processes, explore far beyond their industries, and challenge the business to do better and grow further.

 

 

AI AND Humans

“What keeps me up is the fact that so many people are being convinced that they don’t matter anymore.” – Former Canadian Prime Minister Justin Trudeau

When 16,000 jobs, on average, have been lost each month for the past year due to AI, it’s pretty hard to convince a human and they matter.

Yet a growing body of research shows that humans enabled by AI generate new and novel ideas more quickly and cost efficiently than either AI or humans alone. In a battle between 125 “global problem solvers” and one expert in prompt engineering, the latter produced 180 ideas in 5.5 hours at a total cost of $27.01 and none of the ideas were meaningfully different in terms of strategic viability, environmental or financial value, or overall quality than the human-only ideas.  At P&G, researchers found that the most innovative ideas were generated by AI-enabled teams and that those teams worked about 12% faster than other teams and AI-enabled individuals.

 

Ultimately, the companies that succeed won’t be the ones that make the best bets.

They’ll be the ones that learn to whole-ass two things.

Uncertainty, Overwhelm, and the Wisdom of Bull Durham

Uncertainty, Overwhelm, and the Wisdom of Bull Durham

We survived the first quarter of the year. Congratulations everyone, job well done.

Did we hope for more than just survival? Of course we did! But hey, sometimes just living to fight another day is a victory and we still have nine more months to hit our KPIs, deliver our OKRs, and nail this fiscal’s BHAG.

So, let’s take a moment to focus on what really matters: Baseball is back!

Along with the hope of the new season, and the warm weather that comes with it, comes an excuse to revisit the wisdom of classic baseball moves. In 2021, I wrote about Moneyball’s lessons in innovation and it continues to be one of the top read posts on my blog.

If you feel overwhelmed by Q1, fear not! There’s no greater source of advice on finding simplicity, solving problems, and leading people than Bull Durham.

 

When you’re overwhelmed, go back to the basics.

Skip: This… is a simple game. You throw the ball. You hit the ball. You catch the ball.

The Durham Bulls are 8-16 and Skip (the manager) has had enough. He’s tried every tool in his coaching toolkit and the team continues to perform poorly, display a poor attitude, and deliver a halfhearted performance. Overwhelmed and frustrated, he turns to veteran player Crash Davis for advice. “Scare ‘em,” Crash offers and what comes next is one of the greatest tirades on film.

But the greatest lesson here is what comes towards the end of the tirade: a description of the utter simplicity of baseball. There’s no strategy, no competitor analysis, no number-crunching, just a simple explanation of the most basic elements of the job. Throw. Hit.  Catch.

It’s easy to get overwhelmed by news, technology, corporate politics, the list goes on. That overwhelm causes us to worry, lollygag, and obsess about what could happen. But when we cut through all that to find the essence of what we do and why we do it, things become remarkably clear and the next steps feel obvious.

 

 

Fall in love with the problem.  Not the solution.

Zeke: We need a night off just to stop our losing streak. We need a rainout.

Crash: I can get us a rainout.

The Bulls are on another losing streak but this time on the road. As the team bus pulls into another motel and the players gather their bags, they complain about their problem (losing streak), propose an approach (night off) and propose a specific solution (rainout).

When Crash promises a rainout, it’s not because he knows something about the forecast the others don’t. It’s because he understands that there’s more than one way to get a night off. Like breaking into the ballpark, turning on the sprinklers, and flooding the field.

When we fall in love with a solution (rainout) we get stuck. We focus on making one thing happen, when critical dependencies are beyond our control. But when we fall in love with the problem (need a night off to stop a losing streak), we’re able to see less obvious but more likely and effective solutions.

 

People first. Problem solving second

Larry: [Jogs out to the mound to break up a players’ conference] Excuse me, but what the hell’s going on out here?

Crash Davis: Well, Nuke’s scared because his eyelids are jammed and his old man’s here. We need a live rooster to take the curse off Jose’s glove and nobody seems to know what to get Millie or Jimmy for their wedding present. We’re dealing with a lot of sh*t.

Larry: Okay, well, uh… candlesticks always make a nice gift, and uh, maybe you could find out where she’s registered and maybe a place-setting or maybe a silverware pattern. Okay, let’s get two! Go get ’em.

The Bulls are finally on a winning streak, but off-the-field issue are affecting on-the-filed play and things aren’t looking good. As the players gather on the mound, the team’s Assistant Manager trots out to figure out what’s going on and get the game going again.

After Crash sums up the personal issues, instead of telling the players to be professional, leave their problems at home, and get on with things, Larry focuses on solving the single issue affecting the most people first. It’s only when the players start nodding that he shifts everyone back into work-mode.

Only on Severance can we separate ourselves into work and life modes. Pretending that isn’t the case is counterproductive and toxic. But we can’t let one consume the other because it will ultimately degrade both our professional and personal lives.

As leaders, we need to find the balance between helping the humans grapple with real and personal issues and getting the team (back) on track and doing great work.

 

Ready to keep playing?

Baseball is a game of survival. A foul tip keeps the at bat alive. A walk keeps the inning alive. A bloop single to score a runner send the game into extra innings.

Winning takes patience and perseverance because the game is rarely won or lost in a single at-bat or inning. Just like you don’t win or lose your KPIs, OKRs, or BHAGs in a quarter.

As we start a new quarter, let’s keep it simple, focus on solving problems, and put people first.

Go get ‘em.

You’re Addicted to AI. That’s by Design.

You’re Addicted to AI. That’s by Design.

“AI is the new cigarette.”

When a colleague said this in the waning days of 2022, days after ChatGPT burst on the scene, she took my breath away. The idea that this miracle would kill us seemed confined to hysterical handwringing foretelling the birth of Skynet.

She was right.

But neither of us knew it was designed to be that way.

 

Designed for addiction

My friend predicted that ChatGPT would stay free and helpful until usage reached “critical mass,” and then we’d have to pay. Less than three months after its November launch, OpenAI introduced its $20 per month service.

But it’s not the “first one’s free, the next one will cost you” aspect of drugs that makes AI addictive. It’s the design decisions at its core that keeps you coming back:

  • Purchase Decoupling in which you convert real money into tokens, creating psychological distance between you and your actual spending
  • Difficulty Curve where skills and benefits accumulate quickly giving you the sense that you’re becoming more capable over time and therefore more committed after progress slows.
  • Skill Atrophy where every skill you stop practicing because the machine does it for you, quietly disappears.

Even casual AI users have experienced one or more of these:

  • You get a message mid-chat telling you you’ve used all your tokens and need to come back in three hours even though you’ve paid your monthly $20 fee
  • You’re prompting in all caps because it’s the only way you can think of to get the LLM to stop hallucinating, while reminiscing about the days when it was a brilliant thought-partner
  • You’ve relied on AI to outline articles for the last several months, but you need to write in a different style and have no idea how to get started.

And yet, we keep going back.

But it’s not just individuals who are addicted. It’s entire organizations.

 

Signs that your organization is addicted to AI

Your CFO asks for the total AI spend across the organization. Three weeks and four departments later, the number is three times what anyone expected because the licenses are buried in IT infrastructure budgets, the pilots are expensed as innovation projects, and half the tools were purchased by business units on corporate cards.

The board approved the AI transformation initiative based on the pilot results. Eighteen months later, the pilot case study slide hasn’t changed, headcount has been reduced in anticipation of productivity gains that haven’t materialized, and the team running the pilot has quietly moved on to other work.

You eliminated the analyst pool two years ago because AI could do in minutes what they did in days. Now you need to evaluate whether the AI’s output is actually correct, and you’ve just realized there’s nobody left in the organization to check it because everyone who’s done it is gone.

Sound familiar? Your organization is an addict.

 

Recovery is possible

Addiction can’t be cured, only managed. The same is true for AI.

The road to recovery starts in a similar place: Visibility

  • Centralize AI spending the way you centralize other business processes AND allow some flexibility by setting strict spending limits and clear decision-making criteria and ownership.
  • Start pilots with the end in mind by establishing success metrics and scaling plans at the start of the pilot, not when it’s already in process.
  • Treat certain human capabilities as strategic reserves the same way you’d treat any critical operational dependency. Before automating a function, explicitly document what judgment and expertise currently lives there, who holds it, and what it would cost to rebuild it if needed.

Unlike cigarettes or gambling, we’ve reached a point where we can’t quit AI.

But we can be aware of our addiction and we must manage it.

The first step is admitting that it’s real.  And by design.

What Would You Do If You Were Certain?

What Would You Do If You Were Certain?

If you’re uncertain, you’re not alone. According to data from FactSet, 87% of Fortune 500 companies cited “uncertainty” during their 2025 Q1 earnings calls.  And while things are definitely a tad chaotic in the world, I’ve started asking my clients, “What would you do if you were certain?”

It’s not an academic thought experiment. It’s a very practical exercise that radically shifts the way the think about and lead their businesses.

An Example That Proves the Rule

Most leaders facing disruption do one of two things: freeze and hope that “this too shall pass” or follow and hope that there is safety in numbers.

Neither is a strategy. Both are knee jerk reactions rooted in fear and communicated in the language and buzzwords of business.

This behavior didn’t start with AI. It happens every time a disruptive technology or philosophy bursts onto the scene. The printing press. The industrial revolution. Microchips. Each time, a new leader and paradigm emerges. How do they do it?

They’re certain.

Not because they’re omniscient. But because they know the answers to three questions

 

Question 1: Who Are You?

When photography made academic realism obsolete, Picasso didn’t freeze. He didn’t pick up a camera. He created something entirely new. Why? Because he knew exactly who he was. “I don’t seek,” he said. “I find.”

Today’s business icons are no different. Richard Branson describes himself as curious and someone who challenges the status quo. Lou Gerstner, when he arrived at a floundering IBM, declared himself a results man, not a visionary.

These self-definitions aren’t marketing. They’re decisions filters that define what you are and aren’t willing to do, agnostic of events, technologies, and capabilities.

 

Question 2: What Does Your Organization Actually Do?

Not what you make. Not what you sell. What Job to be Done do customers hire you to do?

Nintendo’s answer has been consistent across 130 years of radical product change: help me have fun with friends and family. From playing cards to the Game Boy, Wii, and Switch, their products changed completely. The Job didn’t.

IBM has done the same. From punch card tabulators to consulting and AI, the Job of helping customers make sense of complex information to run better never change. Amex moved from freight forwarding to credit and debit cards, but it’s commitment to move value securely when direct exchange isn’t an option never wavered.

When you know the Job you do, you stop chasing trends and start making choices.

 

Question 3: How Do You Move Forward?

You can’t answer this question without answering the first two. When you try, you get caught in the same freeze/follow trap as everyone else.

But when you answer the first two questions, the answer to this one becomes clear. For Picasso and Branson, they create. For Gerstner, he optimized the status quo. For most businesses, the answer is “And, not Or.”  They must stabilize today’s business, step into (even follow) the next wave, and invest in creating the new.

Satya Nadella’s transformation of Microsoft is a perfect example. He defined himself as a learner, not a knower. He defined Microsoft’s job as helping people make a difference in their roles. From those two answers, every major move followed logically: maintain Office 365, step into cloud, create quantum computing technology.

None of it was reactive. All of it felt certain.

 

Your Moment Is Now

Yes, the world is uncertain. You don’t have to be.

Before you close this tab and tell yourself you’ll think about it later, answer the first two questions. You can change your answers later, but you need to start now.

The leaders who navigate this moment won’t be the ones who wait and see or follow the crowd. They’ll be the ones who know themselves and their organizations well enough to be certain.

“Reinvention” is the latest C-Suite Priority.  It’s also BS

“Reinvention” is the latest C-Suite Priority. It’s also BS

“Change is changing: How to meet the challenge of radical reinvention” – McKinsey

“End to End Reinvention Unleashes a Technology’s Full Potential” –  BCG

“Reinvention: The Overlooked Skills Leaders Need Right Now” – Forbes

Don’t look now but we’ve got a new buzzword!

Hello, REINVENTION

Wait, what happened to Transformation?

Oh hon, “Transformation” is so 2025 and for good reason. In a survey of 750 global organizations, researchers found that 52% of respondents suffer from “transformation fatigue,” 44% cite constant change as the reason for their burnout, and more than one-third are considering quitting as a result of never-ending transformations.

Unfortunately, massive technologic, economic, and societal shifts demand executives rethink every aspect of their organizations. So, what do you do when you need to transform but using the word is likely to lead to a revolution?

As fans of The Wire know, you rebrand.

 

So, Reinvention is the new Transformation?

Yes and no.

Both terms apply to large-scale organizational changes that often hit at the heart of an organization’s operations. As a result, they require leadership commitment, employee buy-in, and lots of money and time to execute.

The difference is that Transformation is positioned as a finite endeavor to increase performance, usually through technology adoption and integration or restructuring. Reinvention, however, “requires leaders to embrace more radical approaches and actions – in effect, to embrace the creative destruction of the company so it creates value in new ways.”

On-going. Radical approaches. Creative destruction.

Just what C-Suite execs want.

 

Honestly, it sounds like Reinvention is needed so why is it BS?

To be fair, it’s only two-thirds BS.

Building a capability for ongoing change, iteration, and learning isn’t BS. In fact, it’s mission critical in a world of constant change and uncertainty. But this capability requires new mindsets and skills that take time, consistent role modeling by senior leaders, before they stick.

What is BS is the need for radical approaches and creative destruction.

Instead, leaders need to return to their roots and reimagine their future.

Return and Reimagine?

Return

Jørgen Vig Knudstorp is widely credited with saving LEGO from bankruptcy and turning it into the world’s biggest toy company.  At the 2025 Thinkers50 Summit, he shared his 10 rules for a successful transformation. Number one, “Why do we exist?”  He spent three years trying to answer this question.

Why do we exist?  What makes us relevant, valuable, rare, hard to imitate?

The answer isn’t your industry, products, or processes. It’s something more fundamental. It’s the Job to be Done that your organization and ONLY your organization can do.

John Fallon, who led Pearson’s turnaround as their CEO, answered this question in a recent conversation with Outthinkers’ Kaihan Krippendorf.

“The job to be done was not publishing textbooks.  The job to be done was empowering people to progress in their lives through learning.”

Reimagine

When you know why you exist, you’re able to go beyond rebuilding to reimagining what your organization could be. Knowing your Why changes how you think about your organization and its potential. It enables you to step out of the hype, ignore the peer pressure, and explore all the future Whats and Hows before committing to action.

Then, and only then, do you commit to action. To concrete changes in business models, operations, and capabilities.  To Reinvention.

 

I think I get it.  Reinvention is BS not because it’s wrong but because it skips two essential steps.

Reinvention implies rebuilding, but if you don’t know why your company exists, how can you be sure you’re building something that matters?

And, if your “reimagining” is focused only on the latest tech or doubling down on a dying business model, you’ll never see all the other possibilities that may be more resilient.

Return. Reimagine. Reinvent. The 3Rs. That’s a buzzword I can support.