Deel intentionally expanded globally from year one, viewing it as a core strategy. This resulted in 50% of revenue coming from non-US companies. CEO Alex Bouaziz believes this is a massive differentiator for any company that has found product-market fit.

The biggest opportunity in applied enterprise AI is not industry-specific solutions, but horizontal platforms deployed with a localized go-to-market strategy. This 'Uber playbook' focuses on winning geographies rather than verticals, a non-consensus approach.

The flow of innovation is no longer one-way. Leading Silicon Valley companies are now launching their go-to-market in countries like Brazil, which have enterprises eager to adopt new technology like AI with fewer providers competing for their business.

Unlike traditional SaaS, AI startups are expanding internationally at a much earlier stage. This is driven by universal top-down pressure on enterprises to adopt AI and the relative ease of localizing language models, leading to strong customer pull from different geos.

Stripe data shows the median top AI company operates in 55 countries by its first year, double the rate of SaaS companies from three years prior. This borderless nature from day one requires financial infrastructure that can immediately support global payment methods and compliance.

Chinese companies have a long-standing culture of not paying for software, preferring to hire cheap engineers for custom builds. This has created an unprofitable domestic B2B market, compelling Chinese AI and software firms to seek paying customers in the US and Europe from day one for survival.

The traditional model of sequential, country-by-country expansion used by Coca-Cola and even early Google has been replaced. Today’s AI-native companies launch globally from day one, treating the entire internet as their domestic market, enabled by modern financial infrastructure.

Unlike US startups serving one large market, Legora's Swedish origins necessitated immediate expansion into different countries with unique languages and laws. This built a core competency in multi-market operations, making global expansion a natural next step.

The fastest-growing AI companies reach $100M in revenue significantly quicker than their SaaS predecessors. Counterintuitively, this isn't due to aggressive spending but overwhelming product demand, allowing them to spend less on sales and marketing while achieving 2.5x faster growth.