The greatest danger in times of turbulence is not the turbulence—it is to act with yesterday's logic — Peter Drucker
At the start of 2025, most business leaders believed they knew what the year would demand: faster AI adoption, tighter operations, better digital strategies.
They were wrong.
What 2025 actually revealed—brutally, repeatedly—was something far more fundamental: the companies that are setup to win for the longterm weren’t the smartest, the best-funded, or even the most innovative. They were the ones making better high-stakes decisions while everyone else was still forming committees.
This year exposed that the greatest risk facing American business isn’t taking a big bet and failing. It’s not taking enough calculated risks. As I say in my keynotes, it’s not the “errors of commission that typically kill you; it’s the errors of omission”. It’s choosing the perceived safety of incrementalism while the ground shifts beneath your feet.
As we close out 2025, I want to share what this year taught us about leadership, strategy, and the playbook required to win in an era that punishes hesitation.
Because if there’s one lesson that defines this year, it’s this: the most dangerous thing your company did in 2025 was nothing.
The Year Corporate America Chose Financial Engineering Over Innovation
While AI capabilities advanced at breakneck speed and competitive landscapes restructured overnight, S&P 500 companies spent a record-breaking $942.5 billion on share buybacks—an 18.5% increase from the prior year.
Meanwhile, R&D spending growth decelerated to its slowest pace since 2009
Let that sink in. At precisely the moment when bold strategic action was required, corporate America chose the certainty of stock buybacks over the uncertainty of transformation and investment in the their future.
This is the self-reinforcing cycle that’s hollowing out industrial competitiveness while creating a dangerous concentration of innovation capability in fewer and fewer hands.
The bifurcation is real: the “Magnificent Seven” tech giants operate with aggressive R&D intensity, calculated risk taking AND operational excellence, and long time horizons. Everyone else—the S&P 493—faces stagnant earnings growth, constrained R&D budgets, and quarterly pressure that makes multi-year transformation bets nearly impossible.
Here’s what the data won’t tell you: the companies that broke this cycle in 2025 didn’t do it by spending more. They did it by deciding to taking more calculated risks.
What Separated Winners from the Wreckage
In our advisory work, we saw the pattern repeatedly: successful transformations shared a common DNA that had nothing to do with budget size or technology selection.
Winners understood that optimization-first thinking—the playbook that dominated strategy for decades—had become strategic malpractice. They recognized that the finely-tuned machine designed for perfect conditions becomes a liability when conditions are anything but perfect.
The winners redesigned for anti-fragility—not just resilience, but the capacity to strengthen under stress. They built intelligent redundancy, real-time sensing mechanisms, and loosely-coupled systems that could fail independently without cascading collapse.
They stopped asking “how do we optimize?” and started asking “how do we build systems that get better through volatility?“
The AI Reckoning Nobody Saw Coming
2025 was supposed to be “the year of AI.” And it was—just not in the way anyone predicted. The revelation wasn’t about what AI could do. It was about what leadership teams couldn’t do: make their organizations actually use AI effectively.
Companies discovered that their biggest AI bottleneck wasn’t technology—it was their executives. Leadership teams that hadn’t made AI fluency a mandatory KPI watched as expensive tools sat unused while competitors pulled ahead.
The execution gap became undeniable: 95% of corporate AI projects failed to demonstrate any P&L impact. Not because the technology didn’t work, but because organizations lacked the discipline to move AI out of pilot purgatory and into revenue-generating workflows.
The winners treated AI adoption like a new operating system, not a technology upgrade. They made it a leadership accountability issue, not an IT problem or “better prompts”.
The Hidden Pattern in Every Breakthrough
Throughout 2025, as we worked with companies navigating operating model transformations, AI strategies, and market repositioning, here’s where we started. It’s about getting to the critical “what sucks” with truth seeking.
Success wasn’t about avoiding hard choices. It was about making them explicit.
The organizations that transformed successfully did something uncomfortable: they wrote down their trade-offs. They stated clearly what they were optimizing for—and what they were willing to sacrifice to get it.
Speed over cost optimization? Written down, signed by executives.
Resilience over efficiency? Documented, measured, defended.
Learning velocity over predictable returns? Committed to publicly.
This is what we call the Trade-off Ledger, and it separates real transformation from presentation theater.
Most operating model work fails because executives want to design their aspirational organization while pretending their actual constraints don’t exist. They want to be “more agile” without specifying what they’ll give up to get there. They want “customer-obsessed excellence” without naming what that means for decision rights, funding cycles, or organizational structure.
2025 proved that vague and uninspiring aspirations kill more transformations than bad technology ever will.
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What This Means for 2026
As we head into the new year, the competitive landscape has crystallized around a single strategic leadership capability: the ability to make and execute high-stakes decisions.
This is the discipline, the playbook, the next generation management science to:
Separate reversible from irreversible decisions
Design experiments that validate risk before major capital or revenue commitments
Build organizations that strengthen through stress rather than quiver
Make leaders accountable for transformation outcomes, not just strategy documents
The recognition that “leadership for operations” is very different than “leadership for transformation”.
The companies setup to dominate 2026 won’t be the ones with the biggest AI budgets or the most elaborate digital strategies. They’ll be the ones who’ve mastered the unglamorous work of driving habit change across their executive team.
They’ll be the ones who became sharks at the poker table of high-stakes decisions.
Your 2025 Retrospective
As you close out this year, ask yourself:
Did we take enough calculated risks, or did we mistake caution for wisdom?
Did we build systems for resilience, or did we optimize ourselves into fragility?
Did we make our leadership team accountable for transformation, or did we let it remain optional?
Did we name our trade-offs explicitly, or did we hide behind aspirational language?
The answers to these questions will tell you whether you’re positioned to win in 2026—or whether you’re just hoping competitors don’t move faster than you can react.
2025 taught us this: Hope is not a strategy. Incrementalism is not safety. And the cost of inaction compounds daily.
The question for 2026 isn’t whether you’ll make big bets. It’s whether you’ll make them with the discipline, clarity, and velocity required to win.
The 10 Newsletters That Defined 2025
Throughout 2025, each edition of The Digital Leader examined different facets, frameworks and stories of the same fundamental challenge: how do leaders build organizations capable of winning when the old playbooks no longer work?
Below are ten of the most impactful newsletters from 2025—the ones that sparked the most conversation, generated the strongest responses, and equipped leaders with frameworks they actually used to drive change. If you missed any of these during the year, now is the time to catch up. Share them with your colleagues and spark fresh thinking.
Each one tackles a specific dimension of high-stakes leadership. Together, they form a comprehensive playbook for 2026.
Onward,
John
PS — I’d be grateful if you shared this post with your network both in substack and on LinkedIn.
John Rossman is a former Amazon executive who launched and scaled Amazon Marketplace from startup to a platform generating hundreds of billions in annual sales. He’s the author of four books on digital transformation and strategic leadership, including Big Bet Leadership, works with companies as a strategic advisor on high-stakes transformation initiatives, and delivers invigorating keynotes to challenge conventional thinking on leadership, innovation and operations.
1. You Don’t Have a Growth Problem. You Have a Growth System Problem.
Most companies fail to grow consistently—not from lack of effort or intelligence, but because they’re using an outdated playbook. The top-quartile growth champions don’t rely on flashes of brilliance; they engineer growth systems built on a theory of success. While 73% of enterprises fail to derive business value from digital transformation, the winners have cracked the code: make three bold moves and your odds of jumping to the top quintile increase sixfold. So why don’t more companies act boldly? Because they’ve confused motion with momentum, and they’re optimizing the wrong variables.
2. Times of Turbulence: Why this isn’t the Age of AI
We’ve got it wrong. We’re not entering the “AI era”—we’re entering something far bigger: the Hyper-Digital Era, defined by three converging mega-forces that will reshape American competitiveness. While everyone fixates on ChatGPT, they’re missing the structural shift: rapid technology advancement, America’s aging workforce creating an unsolvable math problem, and crushing entitlement spending growth. The greatest danger in times of turbulence isn’t the turbulence itself—it’s acting with yesterday’s logic. In 30 years, we’ll look back at November 2022 as the inflection point that created new winners and buried today’s giants who lacked daring, clarity, and velocity.
3. Pancakes: The AI Strategy Framework I’ve Been Holding Back
After talking to dozens of companies on AI transformation, I’ve watched 99% of them flip pancakes one at a time instead of building a proper stack. The truth from AI research’s “bitter lesson”? The approaches that win long-term leverage massive computational power—and most companies are designing AI strategies that put a ceiling on their own potential. The Big Bet Systems™ AI Strategy unfolds across three layers—from individual productivity to workflow reengineering to unlocking core capabilities—but companies that stop at layer one leave transformative value on the table.
4. Becoming Legendary — Fighting Off Complacency and Mediocrity
Success breeds complacency. Complacency breeds failure. Yet 73% of enterprises fail to derive business value from transformation while only 6% of executives are satisfied with innovation results. These numbers haven’t changed in twenty years—this isn’t a technology problem, it’s a leadership problem. The enemy is within: incrementalism, short-termism, loss aversion, and what Buffett calls the ABCs of corporate decay—Arrogance, Bureaucracy, and Complacency. Even legendary companies like Nike, Boeing, and Starbucks are losing their edge right now because they’ve started playing defense. Howard Schultz nailed it: that fear is a disease, and the only cure is becoming legendary by choice through discipline, systems, and brutal honesty.
5. The Decision-Making Playbook for the AI Era
Almost every conversation with company leaders confirms the same insight: the challenge isn’t understanding AI’s importance—the real struggle is knowing how to make great high-stakes decisions about it. Leaders don’t need more AI hype or example prompts; they need a playbook for making high-stakes decisions that transform their business. That’s why “The Digital Leader” is evolving with a new subtitle: A Big Bet Briefing on Strategy & AI. The winners of the next decade aren’t lucky or bold—they’re systematically better at confronting uncertainty with clarity, velocity, and ruthless prioritization of risk and value.
6. The Most Dangerous Thing Your Company Did in 2025? Nothing.
Every business school teaches that good management means avoiding unnecessary risk and conservative capital allocation wins. There’s one problem: this conventional wisdom is killing American competitiveness. In 2024, S&P 500 companies spent a record $942.5 billion on buybacks while R&D growth hit its slowest pace since 2009. The risk-aversion cycle: transformations fail at 70-90% rates, creating fear of big bets, driving safer moves like buybacks, draining innovation capital, creating stagnation that forces rushed transformations that fail at... 70-90%. The greatest risk facing US corporations isn’t taking a big bet and failing—it’s not taking enough calculated risks.
7. Your Company’s “Common Sense” Moment Has Arrived
In January 1776, Thomas Paine’s 47-page Common Sense changed history by making one thing impossible to ignore: the time for compromise was over. Paine stripped away the default assumption that staying the course was the only option, giving people the clarity and urgency to choose independence. Business leaders today face their own “Common Sense” moment. Most companies defend the status quo—the corporate version of hoping the king will be reasonable. The enemy isn’t a monarch; it’s accepting mediocrity as standard, believing optimization is safer than reinvention. Your choice: keep making minor improvements to a broken system, or decide good enough is no longer acceptable.
8. Presentation Theater, Consulting Decks, and Operating Model Transformation
Last week’s “operating model transformation” kickoff: two hours, forty-seven slides, zero definition of actual problems—just vague promises to be “more agile” with gorgeous frameworks while nobody could explain the company’s top ten decisions or who makes them. This presentation theater kills organizational change, and it’s avoidable if you do the uncomfortable work: name what you’re actually fixing, make explicit trade-offs, build toward a specific future state. Most transformations fail because executives design aspirational organizations while pretending constraints don’t exist—they want “empowerment” with centralized authority, “agility” with waterfall budgets. A real operating model isn’t slogans; it’s answering how you execute strategy repeatedly, at scale, without breaking compliance or burning out people.
9. Low Cost Is Dead. Why “Resilience” Is Your New Competitive Advantage.
March 11, 2011: a tsunami devastates Japan, and Toyota—the gold standard of operational efficiency—discovers optimization’s dark side when a single paint supplier shuts down and collapses 78% of global production. They built the world’s most efficient supply chain, but efficient for what? Perfect conditions that no longer existed. For decades we celebrated Toyota’s zero inventory and single-sourced components as the model. But 2025 exposed the tyranny of optimization: every ounce of waste Toyota engineered out also eliminated every degree of freedom. In an era of constant disruption, low cost is no longer the killer feature; anti-fragility is. My call for 2026’s defining word? “Resilience”—as a competitive weapon, as the capability separating leaders from survivors.
10. How to Become the Shark at the Poker Table of High-Stakes Decisions
Mastering high-stakes decisions—those that reshape strategy, create irreversible path dependency, and exist in profound uncertainty—has become the ultimate competitive advantage. McKinsey proves making one to two bold moves raises your odds of jumping from middle to top quintile from 8% to 17%; three bold moves lifts them to 47%. Bezos champions “asymmetric bets” where gains vastly outweigh losses, explaining one big hit can cover countless misses. This is your ten-step playbook for becoming a shark: from defining the wicked problem to conducting the “door test” for reversible decisions, designing experiments, deploying the Three Futures Memo as your “canary in the coal mine,” hedging downside while banking upside—because your destiny is determined not by risks you avoided, but by calculated risks you had the discipline to take.
Too many executives see themselves as the operators of efficient machines rather than as the mayors of innovative cities.
Brilliant!