Initial data suggested the market for design tools was too small to build a large business. Figma's founders bet on the trend that design was becoming a key business differentiator, which would force the market to expand. They focused on building for the trend, not the existing TAM.

During a fundamental technology shift like the current AI wave, traditional market size analysis is pointless because new markets and behaviors are being created. Investors should de-emphasize TAM and instead bet on founders who have a clear, convicted vision for how the world will change.

Early-stage investors shouldn't be deterred by a small current market size. The key is assessing the potential for rapid growth and future scale. Many massive companies emerged from markets that initially appeared small, proving that market creation and expansion are critical variables.

Successful AI products like Gamma and Cursor don't just add a feature; they create so much value they can charge orders of magnitude more than legacy alternatives. This massive Total Addressable Market (TAM) expansion, not a simple price bump, is the engine of their explosive growth.

Analysts often mistakenly constrain a disruptor's potential to the size of the existing market it's replacing (e.g., valuing Uber based on the taxi market). Truly disruptive products create entirely new behaviors and expand the total addressable market (TAM) by orders of magnitude, a key insight for valuing high-growth companies.

Shopify's evolution shows that initial TAM estimates can be conservative. By strategically expanding into adjacent "horizons" like payments, companies can "add a zero" to their market opportunity. This justifies long-term growth and high valuations, a lesson Bessemer now applies to its portfolio.

For venture capitalists investing in AI, the primary success indicator is massive Total Addressable Market (TAM) expansion. Traditional concerns like entry price become secondary when a company is fundamentally redefining its market size. Without this expansion, the investment is not worthwhile in the current AI landscape.

Companies like Amazon (from books to cloud) and Intuitive Surgical (from one specific surgery to many) became massive winners by creating new markets, not just conquering existing ones. Investors should prioritize businesses with the innovative capacity to expand their TAM, as initial market sizes are often misleadingly small.

When evaluating revolutionary ideas, traditional Total Addressable Market (TAM) analysis is useless. VCs should instead bet on founders with a "world-bending vision" capable of inducing a new market, not just capturing an existing one. Have the humility to admit you can't predict market size and instead back the visionary founder.