Underperforming VC firms persist because the 7-10+ year feedback loop for returns allows them to raise multiple funds before performance is clear. Additionally, most LPs struggle to distinguish between a manager's true investment skill and market-driven luck.

A VC's job isn't to be a static sector expert but to understand the latest technological innovation (e.g., the iPhone, AI) and invest in its second and third-order effects. M13 pivoted from D2C to commerce infrastructure as the underlying tech wave shifted.

The rapid evolution of AI means traditional private equity M&A timelines are too slow. PE firms and their portfolio companies must now behave more like venture capitalists, acquiring earlier-stage, riskier AI companies to secure necessary technology before it becomes unaffordable or obsolete.

The traditional, long-term venture capital cycle may be accelerating. As both macro and technology cycles shorten, venture could start mirroring the more frequent 4-5 year boom-and-bust patterns seen in crypto. This shift would force founders, VCs, and LPs to become more adept at identifying where they are in a much shorter cycle.

The most significant companies are often founded long before their sector becomes a "hot" investment theme. For example, OpenAI was founded in 2015, years before AI became a dominant VC trend. Early-stage investors should actively resist popular memes and cycles, as they are typically trailing indicators of innovation.

The focus on AI among institutional investors is so absolute that promising non-AI companies risk "dying of neglect" and being unable to secure follow-on funding. This creates a potential opportunity gap for angel investors to fund valuable businesses in overlooked sectors.

Analysis shows that the themes venture capitalists and media hype in any given year are significantly delayed. Breakout companies like OpenAI were founded years before their sector became a dominant trend, suggesting that investing in the current "hot" theme is a strategy for being late.

The ideal period for venture investment—after a company is known but before its success becomes obvious—has compressed drastically. VCs are now forced to choose between investing in acute uncertainty or paying massive, near-public valuations.

While limited partners in venture funds often claim to seek differentiated strategies, in reality, they prefer minor deviations from established models. They want the comfort of the familiar with a slight "alpha" twist, making it difficult for managers with genuinely unconventional approaches to raise institutional capital.