10 Lessons from 2023 (For Camilla)

Advice, they say, is what we ask for when we already know the answer but wish we didn't. My daughter Camilla turned sixteen this year. She's beginning to absorb lessons about how the world actually works — not how we wish it worked, but how successful people navigate reality. These are the ten patterns I'd want her to understand about 2023, distilled from watching founders, investors, and operators respond to a year that broke most conventional playbooks.

The most underestimated skill in business is asking for things you have no right to receive. 2023 proved this repeatedly. Sam Altman asked world governments to regulate AI development — while his company was eighteen months ahead of every competitor. Elon Musk asked advertisers to return to X after publicly telling them to go fuck themselves. Satya Nadella asked enterprise customers to pay premium prices for experimental AI features.

All three got what they asked for.

The pattern isn't charm or persuasion. It's understanding that most people operate from scarcity — they assume rejection before they ask. When you approach from abundance, assuming the answer is yes until proven otherwise, you discover that many gates are unlocked. The security guard at the exclusive event, the investor you can't possibly afford to meet, the customer whose budget is "already allocated" — they're often waiting for someone bold enough to simply ask.

Your default assumption should be that what you want is available. Test that assumption by asking. The worst outcome is learning you were wrong, which costs you nothing. The best outcome changes everything.

2023 was defined by a handful of zero-sum competitions where being first mattered more than being best. OpenAI didn't build the most sophisticated AI model — they built the first one people could actually use. Their ChatGPT launch was technically inferior to Google's unreleased models, but it captured the entire narrative. Google spent months perfecting Bard while OpenAI captured the market.

The same dynamic played out in AI chips, where Nvidia's supply advantage mattered more than AMD's technical prowess. In defense tech, where Palantir's existing government relationships trumped superior products from newer competitors. In social platforms, where Threads' rapid deployment to 100 million users overshadowed its obvious feature gaps.

Speed compounds differently than quality. Quality improvements are linear — each iteration makes the product marginally better. Speed advantages are exponential — being first lets you learn from real users, iterate faster, and build defensive moats while competitors are still planning.

When you identify a zero-sum moment, optimize for speed. Ship the minimum viable version. Learn from real usage. Perfect later, when you control the field.

Every founder in 2023 heard the same advice: become capital efficient, extend your runway, survive the winter. Most followed it. The winners ignored it.

OpenAI burned through hundreds of millions while competitors optimized for efficiency. Tesla continued its aggressive expansion while other automakers pulled back. Nvidia invested billions in manufacturing capacity while rivals focused on margins. SpaceX maintained its launch cadence while competitors delayed projects.

The contrarian insight is that periods of capital scarcity create the best opportunities for patient capital. When everyone else is conserving resources, aggressive investment compounds faster. Your competitors are paralyzed by fear of failure. Customers are hungry for solutions. Talent becomes available at reasonable prices.

Capital efficiency is a tactic for survival. Capital patience is a strategy for dominance. Know which game you're playing.

2023's most successful people failed spectacularly in public. Sam Altman was fired by his own board, then reinstated within 96 hours. Elon Musk's Twitter acquisition looked like catastrophic value destruction — until it became the primary platform for AI discourse. Mark Zuckerberg's metaverse bet was ridiculed until Apple validated the entire category with Vision Pro.

Public failure does three things that private failure cannot: it reveals who your real allies are, it forces you to clarify your actual priorities, and it inoculates you against fear of judgment.

The fear of looking foolish keeps most people trapped in mediocrity. They optimize for appearing competent rather than achieving exceptional outcomes. When you embrace public failure as information rather than judgment, you unlock a different level of risk tolerance. You can test bigger ideas, make bolder moves, and recover faster when things go wrong.

The reputational cost of failure is temporary. The opportunity cost of playing it safe is permanent.

Most people optimize locally — they improve their immediate circumstances without considering how their actions ripple through larger systems. The most successful operators in 2023 thought systematically. They asked: "If I do this, how does the system respond? How do I design my actions to create favorable second-order effects?"

Nvidia didn't just build better AI chips. They created an ecosystem where their chips became the default standard, making switching costs prohibitive. Netflix didn't just create better content. They structured deals that made their platform essential for content creators. Apple didn't just build better products. They designed an ecosystem where leaving Apple means losing your data, your accessories, and your learned behaviors.

Think beyond your immediate move. How does your action change the incentives for other players? How do their predictable responses create opportunities for your next move? How do you design your current position to make your future moves more powerful?

Systems thinking transforms zero-sum games into positive-sum outcomes. Instead of fighting for a fixed pie, you expand the pie in ways that benefit you disproportionately.

When things go wrong — and they always go wrong — most people's first instinct is to find someone else to blame. In 2023, the leaders who accelerated while others stagnated were those who took extreme ownership of every problem in their domain.

When OpenAI's safety team raised concerns about AI risk, Altman didn't dismiss them or blame external pressures. He took ownership of the communication failure and restructured the company's approach. When Tesla faced manufacturing delays, Musk moved into the factory floor and took personal responsibility for solving bottlenecks. When enterprise customers complained about Microsoft's AI integration, Nadella didn't blame his engineering team — he restructured Microsoft's entire product development process.

Extreme ownership does two things: it gives you complete agency over solutions, and it builds trust with stakeholders who are accustomed to leaders who deflect responsibility.

When you own every problem, you discover that most problems are solvable. When others see you taking ownership rather than making excuses, they become willing to give you more responsibility and more resources. Ownership compounds into authority.

2023 tested everyone's ability to think from first principles while under extreme pressure. Market conditions changed monthly. Regulatory environments shifted weekly. Technology capabilities evolved daily. The leaders who thrived were those who could strip away assumptions and rebuild their understanding from fundamental truths.

When the AI boom started, most companies asked: "How do we add AI features to our existing products?" The winners asked: "If we could rebuild our products from scratch with AI as the foundational layer, what would they look like?"

When interest rates spiked, most startups asked: "How do we extend our runway?" The winners asked: "What would a profitable business model look like in this new environment, and how do we get there fastest?"

When regulatory pressure increased, most companies asked: "How do we comply with existing regulations?" The winners asked: "What regulations are inevitable, and how do we shape them in our favor?"

First principles thinking is expensive in stable times — it requires abandoning existing investments and starting fresh. But in periods of rapid change, it's the only sustainable advantage. Your existing assumptions become liabilities. Your willingness to rebuild from fundamentals becomes your competitive moat.

The most successful people in 2023 said no to almost everything. They identified one or two areas where they could create disproportionate impact and ignored everything else.

Jensen Huang at Nvidia could have diversified into dozens of adjacent markets. Instead, he focused obsessively on AI compute infrastructure. That focus enabled Nvidia to dominate the most important technology transition in decades.

OpenAI could have pursued dozens of different AI applications. Instead, they focused on building the best general-purpose language model and let the market find applications. That focus let them capture value across every vertical.

Extreme focus feels risky because you're betting everything on a small number of outcomes. But diversification is the riskier strategy because it prevents you from achieving exceptional results in any single area. When you spread your effort across ten priorities, you get mediocre results in all ten. When you concentrate your effort on two priorities, you can achieve exceptional results that compound.

The opportunity cost of distraction is exponential in high-leverage moments. Focus multiplies effort into outcomes.

Nassim Taleb's concept of antifragility — systems that get stronger under stress — separated the winners from the survivors in 2023. While most organizations focused on resilience (maintaining performance under stress), the best operators built systems that improved when stressed.

SpaceX's rapid iteration cycle turns launch failures into performance improvements. Each explosion teaches them something that makes the next rocket more reliable. Tesla's manufacturing process gets more efficient as they scale production volumes. Each new factory incorporates lessons from previous factories, making the entire system stronger.

Netflix's content strategy becomes more effective as they gather more viewing data. Each new subscriber improves their recommendation algorithms for all subscribers. Amazon's logistics network gets more efficient as package volumes increase. Each new customer reduces the per-unit cost of serving all customers.

Don't just build systems that survive stress. Build systems that feed on stress. Design your processes so that problems become information, failures become improvements, and challenges become competitive advantages.

The most counterintuitive success strategy in 2023 was teaching your competitive advantages to others. The leaders who shared their insights most freely — through writing, speaking, and mentoring — ended up with the strongest networks and the most opportunities.

Naval Ravikant built one of the most influential voices in tech by sharing his investment philosophy. Marc Andreessen strengthened his position by writing extensively about technology trends. Reid Hoffman expanded his influence by teaching entrepreneurship at scale.

Teaching forces you to clarify your thinking. You can't explain something you don't truly understand. The process of teaching reveals gaps in your knowledge and forces you to fill them. Your students ask questions you haven't considered, pushing your thinking into new areas.

Teaching also creates network effects. Every person you teach becomes part of your intellectual network. They carry your ideas into contexts you can't access directly. They become multipliers of your influence and sources of new opportunities.

The knowledge you hoard becomes stagnant. The knowledge you share compounds into influence, relationships, and opportunities that generate more knowledge. Be generous with your insights. The returns are exponential.

These aren't universal truths. They're patterns that worked in 2023's specific conditions. The world will change, and new patterns will emerge. The deeper lesson is about pattern recognition itself: successful people pay attention to what's actually working, not what should work in theory. They test their assumptions against reality and update their models based on evidence.

The future belongs to those who can identify emerging patterns before they become conventional wisdom, then act on those patterns while others are still debating their validity. Stay curious. Stay flexible. Stay ready to be wrong about everything except the importance of learning faster than circumstances change.