Business
5 min read
The Art of Reinvention: How One Career Chameleon Mastered the Power of 'Yes'
From Langley to Silicon Valley to the startup grind, a former CIA officer and Google executive explains why relentless curiosity beats rigid planning in the modern economy.
At 22, he was analyzing threats in a windowless room at CIA headquarters. By 35, he was optimizing ad algorithms in Mountain View. Now in his 40s, he’s building companies from scratch while most peers are settling into mid-career comfort. The common thread? A willingness to say yes before knowing how it ends. This philosophy—what he calls 'Sure, I’ll try it'—has become a quiet rebellion against the cult of specialization. In an era where skills depreciate faster than Moore’s Law, his career arc reveals something unsettling: the most valuable expertise may be the ability to pivot without apology. It’s not about having a plan, he argues, but about trusting your capacity to adapt when the plan inevitably collapses.
The first time he walked into CIA headquarters, he expected to spend his career in the shadows. Instead, he discovered that even intelligence work requires constant reinvention. Technology cycles moved faster than congressional budgets, and analysts who couldn’t master new surveillance tools found themselves obsolete. The agency’s culture of classified briefings and compartmentalized knowledge created an environment where curiosity wasn’t just encouraged—it was survival. What looked like loyalty to a single institution was actually a series of micro-pivots: from counterterrorism to cyber threats, then to economic espionage. Each transition demanded learning new languages, both literal and figurative. The lesson wasn’t about changing jobs; it was about changing how he thought about work itself. By the time he left, he’d internalized something most professionals never grasp: identity isn’t tied to a job title, but to the ability to acquire new ones.
Silicon Valley promised escape from bureaucracy, but Google’s scale presented its own kind of inertia. The company’s famous 20% time policy—where engineers could dedicate one day a week to side projects—wasn’t just about innovation; it was institutionalized permission to explore. Yet most employees treated it as a perk rather than a practice. He noticed how quickly comfort sets in when stock options vest and T-shirts replace suits. The real revelation wasn’t the free meals or massage chairs, but the realization that even in a meritocracy, most people stop asking what’s next after landing the dream job. His own transition from intelligence to tech wasn’t about abandoning old skills, but repurposing them. The ability to assess risk under uncertainty became product strategy. Pattern recognition from intelligence reports translated to user behavior analysis. What looked like a career change was actually a remix.
Entrepreneurship was supposed to be the ultimate test of adaptability, but the reality was messier than pitch decks suggested. The first lesson was that building companies isn’t about having original ideas—it’s about executing them in ways incumbents can’t. His advantage wasn’t domain expertise, but the muscle memory of reinvention developed in previous careers. When a fintech startup he advised pivoted from B2C to B2B, he recognized the pattern from his CIA days: sometimes the mission changes, but the tools remain useful. The second lesson was that failure isn’t binary. Most startups don’t collapse—they evolve into something unrecognizable, often more valuable than the original vision. The third was that funding follows conviction, not certainty. Investors don’t want perfect plans; they want founders who can navigate ambiguity with what one mentor called 'informed recklessness.'
The 'Sure, I’ll try it' mantra isn’t about reckless abandon, but calculated curiosity. It requires distinguishing between comfort and competence—a nuance lost on most professionals. Comfort says 'I’ve earned this'; competence says 'I can learn that.' The distinction explains why some mid-career professionals plateau while others accelerate. His approach involves three deliberate practices: maintaining a running list of skills to acquire (not just jobs to land), seeking feedback from people who’ve done what he wants to do next, and allocating time for exploration even when deadlines loom. The most counterintuitive element is the permission to be bad at something first. Most adults confuse unfamiliarity with incapability, but mastery begins with the willingness to look foolish. This mindset doesn’t eliminate fear; it simply makes fear a signal rather than a stop sign.
Critics argue that serial reinvention is a luxury of the privileged—those with safety nets or elite credentials. Yet his own path suggests the opposite: that rigid career paths are the real privilege, available only to those who can afford to specialize. The gig economy didn’t create this dynamic; it merely exposed what was always true. The most secure jobs have always been those where workers could pivot faster than their industries. The difference now is that technology has democratized the tools of reinvention. Online courses, remote work, and fractional expertise mean that career changes no longer require geographic moves or financial windfalls. What remains scarce is the psychological flexibility to embrace the process. The real divide isn’t between stable and unstable careers, but between those who see change as threat and those who see it as tuition.
The future belongs to what might be called 'career generalists'—not in the sense of lacking expertise, but in the ability to apply expertise across domains. This is already visible in emerging fields like AI ethics, where progress requires input from philosophers, engineers, and policymakers. The most valuable professionals will be those who can bridge these worlds, not just deepen a single silo. His own work now involves advising companies on both product strategy and risk management—a combination that would have seemed bizarre in previous decades. The key insight is that innovation happens at intersections, not in straight lines. Organizations don’t need more specialists; they need more people who can connect specialties. The challenge for institutions is that this kind of adaptability can’t be mandated—only modeled. The most effective leaders will be those who demonstrate that reinvention isn’t a phase, but a practice.
Silicon Valley promised escape from bureaucracy, but Google’s scale presented its own kind of inertia. The company’s famous 20% time policy—where engineers could dedicate one day a week to side projects—wasn’t just about innovation; it was institutionalized permission to explore. Yet most employees treated it as a perk rather than a practice. He noticed how quickly comfort sets in when stock options vest and T-shirts replace suits. The real revelation wasn’t the free meals or massage chairs, but the realization that even in a meritocracy, most people stop asking what’s next after landing the dream job. His own transition from intelligence to tech wasn’t about abandoning old skills, but repurposing them. The ability to assess risk under uncertainty became product strategy. Pattern recognition from intelligence reports translated to user behavior analysis. What looked like a career change was actually a remix.
Entrepreneurship was supposed to be the ultimate test of adaptability, but the reality was messier than pitch decks suggested. The first lesson was that building companies isn’t about having original ideas—it’s about executing them in ways incumbents can’t. His advantage wasn’t domain expertise, but the muscle memory of reinvention developed in previous careers. When a fintech startup he advised pivoted from B2C to B2B, he recognized the pattern from his CIA days: sometimes the mission changes, but the tools remain useful. The second lesson was that failure isn’t binary. Most startups don’t collapse—they evolve into something unrecognizable, often more valuable than the original vision. The third was that funding follows conviction, not certainty. Investors don’t want perfect plans; they want founders who can navigate ambiguity with what one mentor called 'informed recklessness.'
The 'Sure, I’ll try it' mantra isn’t about reckless abandon, but calculated curiosity. It requires distinguishing between comfort and competence—a nuance lost on most professionals. Comfort says 'I’ve earned this'; competence says 'I can learn that.' The distinction explains why some mid-career professionals plateau while others accelerate. His approach involves three deliberate practices: maintaining a running list of skills to acquire (not just jobs to land), seeking feedback from people who’ve done what he wants to do next, and allocating time for exploration even when deadlines loom. The most counterintuitive element is the permission to be bad at something first. Most adults confuse unfamiliarity with incapability, but mastery begins with the willingness to look foolish. This mindset doesn’t eliminate fear; it simply makes fear a signal rather than a stop sign.
Critics argue that serial reinvention is a luxury of the privileged—those with safety nets or elite credentials. Yet his own path suggests the opposite: that rigid career paths are the real privilege, available only to those who can afford to specialize. The gig economy didn’t create this dynamic; it merely exposed what was always true. The most secure jobs have always been those where workers could pivot faster than their industries. The difference now is that technology has democratized the tools of reinvention. Online courses, remote work, and fractional expertise mean that career changes no longer require geographic moves or financial windfalls. What remains scarce is the psychological flexibility to embrace the process. The real divide isn’t between stable and unstable careers, but between those who see change as threat and those who see it as tuition.
The future belongs to what might be called 'career generalists'—not in the sense of lacking expertise, but in the ability to apply expertise across domains. This is already visible in emerging fields like AI ethics, where progress requires input from philosophers, engineers, and policymakers. The most valuable professionals will be those who can bridge these worlds, not just deepen a single silo. His own work now involves advising companies on both product strategy and risk management—a combination that would have seemed bizarre in previous decades. The key insight is that innovation happens at intersections, not in straight lines. Organizations don’t need more specialists; they need more people who can connect specialties. The challenge for institutions is that this kind of adaptability can’t be mandated—only modeled. The most effective leaders will be those who demonstrate that reinvention isn’t a phase, but a practice.