When evaluating AI startups, don't just consider the current product landscape. Instead, visualize the future state of giants like OpenAI as multi-trillion dollar companies. Their "sphere of influence" will be vast. The best opportunities are "second-order" companies operating in niches these giants are unlikely to touch.

Established industries often operate like cartels with unwritten rules, such as avoiding aggressive marketing. New entrants gain a significant edge by deliberately violating these norms, forcing incumbents to react to a game they don't want to play. This creates differentiation beyond the core product or service.

Startups like Cognition Labs find their edge not by competing on pre-training large models, but by mastering post-training. They build specialized reinforcement learning environments that teach models specific, real-world workflows (e.g., using Datadog for debugging), creating a defensible niche that larger players overlook.

Startups often fail by making a slightly better version of an incumbent's product. This is a losing strategy because the incumbent can easily adapt. The key is to build something so fundamentally different in structure that competitors have a very hard time copying it, ensuring a durable advantage.

Koenigsegg viewed his lack of automotive heritage not as a weakness but as his greatest competitive advantage. Without legacy constraints, he could start from a "blank sheet of paper," enabling radical innovation and differentiation that incumbents, tied to their history and processes, could not easily replicate.

Small firms can outmaneuver large corporations in the AI era by embracing rapid, low-cost experimentation. While enterprises spend millions on specialized PhDs for single use cases, agile companies constantly test new models, learn from failures, and deploy what works to dominate their market.

In a crowded market, the most critical question for a founder is not "what's the idea?" but "why am I so lucky to have this insight?" You must identify your unique advantage—your "alpha"—that allows you to see something others don't. Without this, you're just another smart person trying things.

Large platforms focus on massive opportunities right in front of them ('gold bricks at their feet'). They consciously ignore even valuable markets that require more effort ('gold bricks 100 feet away'). This strategic neglect creates defensible spaces for startups in those niche areas.

According to Ken Griffin, legendary investors aren't just right more often. Their key trait is having deep clarity on their specific competitive advantage and the conviction to bet heavily on it. Equally important is the discipline to unemotionally cut losses when wrong and simply move on.