Between now and the end of the decade, an avalanche of startups, scale-ups and established companies will fail, but not because they pursue a bad idea or produce a shoddy or inferior product. Instead, they will fall far short of their potential or even go bankrupt because their CEOs and other top executives fail as leaders. They will staunchly, naively, smugly, or even narcissistically build and lead their company to succeed in the world that existed in past decades, but will never exist again. In other words, they will fail to adapt to the changing world.
Let’s look at this changing world. What does a high-producing employee do in the middle of the twenty-first century? Strip out all the physical labor that can be accomplished by mechanized and robotic processes. And strip out all the cognitive labor that can be accomplished by thinking machines. Cheap foreign labor will have long ago been outpriced by cheap machine labor. No doubt in this world top artists, athletes, and other performers will thrive. But what will the highly productive employee of a corporate entity do, exactly? Which corporate culture and leadership style will best support the high performer’s productivity? Two very different schools of thought are emerging.
In Office Hours – Still the Best Indicator?
For most of history, hours of work were nearly the entire definition of work ethic. Is that still true? Some notable heads of technology companies agree. Upon acquiring Twitter, Elon Musk demanded significant hours from his newly acquired staff. Likewise, Pavithra Mohan reports that Cognition’s CEO, Scott Wu, holds a similar sentiment that he communicated in an email to his newly acquired team from Windsurfer. “We don’t believe in work-life balance—building the future of software engineering is a mission we all care so deeply about that we couldn’t possibly separate the two.” The email demanded eighty hour work weeks and six days in the office.
Timeless Productivity Powered by Recovery and Reflection?
As robotics and AI progress, humans will perform those shrinking number of tasks machines cannot: creativity, adaptability, and leadership. Neuroscience shows that creativity doesn't emerge from endless hours—it surfaces during rest and reflection. In an AI-augmented world, machines excel at pattern recognition and execution. What they cannot replicate is strategic judgment, cross-domain synthesis, and innovative problem-solving. These capabilities require mental freshness and cognitive space that only comes from genuine recovery. Sustainable productivity requires treating employees as renewable resources. A well-rested employee working fifty-hour weeks may easily generate more value than one logging eighty hours.
Linear, a project management software company that swiftly achieved a valuation in excess of $1 billion, exemplifies this approach. CEO Karri Saarinen, formerly at Airbnb and Coinbase, has explicitly rejected the “hustle and grind” culture permeating so many startups. Where Cognition's CEO boasts about teams living at the office, Saarinen insists “people should have a life outside of work” to “enjoy life, develop their tastes, gather inspiration.” Linear maintains profitability while growing faster year-over-year not despite refusing to grind employees, but because of it. They require brief, paid work trials for every hire, prioritize quality over headcount, and operate with small, highly autonomous teams. Just two product managers serve thousands of customers including OpenAI, Perplexity, and Cursor. The company proves sustainable productivity and competitive advantage don’t require sacrificing employees’ humanity—they require disciplined hiring, clear priorities, and recognizing that burned-out teams produce rote, mediocre work regardless of hours logged.
How to Maximize Your Actual Productivity
True productivity—the kind that drives career advancement and organizational impact—requires a deliberate system, not a dogma about how many hours to work. The highest performers architect their work lives around principles and behaviors that amplify output while preserving the cognitive and physical resources that fuel sustained excellence. What follows are four interconnected strategies that separate genuinely productive knowledge workers from those who merely appear busy or well-balanced.
Know How to Optimize Your Productivity and Recovery
At this stage in my career, I actually work a lot of hours. But I suspect Cognition’s CEO, Scott Wu, would consider me lazy. I live in the Pacific time zone, but my business is global. People in the EMEA region can book a meeting with me as early as 6:30am my time, Monday through Friday. And people in the APAC region can book a meeting with me up until 9:30pm Sunday through Thursday. But I take at least a three hour break in the middle of the day Monday through Thursday, end my day early on Fridays and am only available on Sundays during a three hour window in the evening. If I do not have an early morning meeting, I often sleep in. If I do not have an evening meeting, I’m just as likely to be taking a break as I am to be working. During my three hour breaks, I usually nap or go to the gym. If I work outside these hours–which I often do–that’s at my discretion, primarily driven by a self awareness of my freshness versus my need for recovery.
I also take micro-breaks during my peak working hours. A brisk, refreshing walk around the block in my neighborhood takes me six minutes. I have a home office, as well as a few favorite local spots that function as a home office away from my home office. And in the nearest major city (Vancouver, BC) I have negotiated guest office privileges at a local venture capital firm. Whenever I travel, I plan for not just my work agenda, but also my recovery agenda.
Research informs us that elite knowledge workers alternate between deep, focused work and deliberate recovery that restores mental resources. Dr. Anders Ericsson concluded that world-class performers rarely sustain more than four to five hours of truly focused practice per day. Beyond that threshold, quality deteriorates. That comes very close to matching what I’ve learned works for me.
Figure out what works for you, and protect it, because by doing so, you protect your value in the marketplace, along with your health, sanity and the quality of your relationship. If Wu’s six twelve hour days in the office actually work for you, then by all means follow that schedule. There’s probably a great job waiting for you at Cognition.
Resist the Trappings of Performative Productivity
In a knowledge economy, output and productivity cannot always be measured, especially in the near term. Weak and authoritarian managers cling to easily tracked metrics, no matter how poor. Hours and in-office presence are easily tracked. Such managers also enjoy exercising control by leveraging fear. I’ve also noticed they have a strong aversion toward those who have processed complex situations and are the originators of new approaches or strategies.
What should a top professional think about working for an Elon Musk or a Scott Wu? Let’s go further and limit this inquiry to top professionals who are highly ambitious, enjoy working in an office, and even genuinely need very little recovery time. Imagine the Musk/Wu work environment, nonetheless. Are one’s peers creative and open to the new ideas of others? Or will such peers merely be efficient at rote tasks like deploying a predictable amount of code. Ultimately, the question one needs to ask is, “How do I want to be valued?”
Offload Workflow to AI
As AI capabilities expand, the boundary between human and machine work shifts continuously. High performers track this boundary actively and adjust workflows accordingly, offloading routine cognitive work while focusing where human creativity and judgment remains irreplaceable.
AI integration isn't binary. Treat AI as a capable but imperfect junior colleague: excellent at generating first drafts, handling repetitive tasks, and processing large volumes of information, but requiring human oversight, refinement, and strategic direction.
Build verification into your workflow. AI introduces factual errors, logical inconsistencies, and misalignments with your intent. Treat output as draft material requiring validation, not finished work. Spot-check calculations, verify key facts, ensure argument structure aligns with strategic purpose. The two most valuable skills in the middle of the twenty-first century will be telling a machine what to do and challenging a thinking machine’s conclusions.
Expect AI capability fluctuations. AI tools evolve rapidly but not linearly. Functionality that worked last month may break due to system updates or platform changes. When workflows break, maintain backup approaches and flexibility. Ultimately, your competitive edge isn't resisting AI—it's exploiting it faster and more effectively than peers while maintaining quality control.
Grow in Expertise, Breadth, and Leadership
Expertise is your primary value in the marketplace. Your expertise has a half life which you must maintain and grow. Breadth is why people earn MBAs. It is your ability to interact effectively with those whose expertise differs from your own. And lastly, there are countless leadership skills: Difficult conversations, executive presence, difficult conversations, negotiation, reading the room, public speaking, empathy to name a few. I encounter far too many executives at growing companies who believe the leadership skills they currently possess will be all they will ever need. Such people get blind-sided. When I was rapidly promoted early in my career, I got blind-sided.
As AI continues to displace knowledge work, growing as a leader is one of the smartest things you can do. For assistance in figuring out your own plan to grow as a leader, consider my recent book on the topic, Hacking the Advanced Management Program. And if you are a recent graduate or soon to graduate, consider Priscilla Schwab’s book, From the Campus to the Office.
Conclusuion
The coming decade will separate companies that succeed from those that fail based on whether their leaders understand what drives human productivity in an AI-augmented economy. The false choice between a culture of hustle and grind, and work-life balance misses the point—neither long hours nor generous benefits guarantee results. What matters is creating conditions where employees excel at the cognitive work machines cannot: strategic thinking, creative problem-solving, cross-domain synthesis, and adaptive leadership.
For professionals, job security will increasingly come from building capabilities that remain valuable as automation expands—deep expertise, cross-disciplinary breadth, and leadership that multiplies impact—plus mastering productivity fundamentals: optimizing recovery cycles, resisting performative work, offloading routine tasks to AI, and collaborating effectively.
The world where long hours in the office determined success is gone. The future belongs to those who understand that human value comes from judgment, creativity, and strategic impact.
#StartupLeadership #Linear #KarriSaarinen #Cognition #ScottWu
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This article is inspired by Pavithra Mohan’s 11/21/2025 article in Fast Company:
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