Top AI labs like Anthropic are simultaneously taking massive investments from direct competitors like Microsoft, NVIDIA, Google, and Amazon. This creates a confusing web of reciprocal deals for capital and cloud compute, blurring traditional competitive lines and creating complex interdependencies.

Duolingo's first investors admitted they didn't believe in the education market, which they considered a bad business. They invested solely because founder Luis von Ahn had a previous successful exit to Google, demonstrating that a founder's track record can be more persuasive to early VCs than the business idea itself.

In AI M&A, recency is key. Companies pre-ChatGPT often had to rewrite their entire stack and relearn skills, making their experience less relevant. Acquiring a company with post-ChatGPT experience ensures their tech and knowledge are current, not already obsolete.

The most lucrative exit for a startup is often not an IPO, but an M&A deal within an oligopolistic industry. When 3-4 major players exist, they can be forced into an irrational bidding war driven by the fear of a competitor acquiring the asset, leading to outcomes that are even better than going public.

When a company like Synthesia gets a $3B offer, founder and VC incentives decouple. For a founder with 10% equity, the lifestyle difference between a $300M exit and a potential $1B future exit is minimal. For a VC, that same 3.3x growth can mean the difference between a decent and a great fund return, making them far more willing to gamble.

OpenAI is now reacting to Google's advancements with Gemini 3, a complete reversal from three years ago. Google's strengths in infrastructure, proprietary chips, data, and financial stability are giving it a significant competitive edge, forcing OpenAI to delay initiatives and refocus on its core ChatGPT product.

As the current low-cost producer of AI tokens via its custom TPUs, Google's rational strategy is to operate at low or even negative margins. This "sucks the economic oxygen out of the AI ecosystem," making it difficult for capital-dependent competitors to justify their high costs and raise new funding rounds.

Google can dedicate nearly all its resources to AI product development because its core business handles infrastructure and funding. In contrast, OpenAI must constantly focus on fundraising and infrastructure build-out. This mirrors the dynamic where a focused Facebook outmaneuvered a distracted MySpace, highlighting a critical incumbent advantage.

Despite Meta offering nine-figure bonuses to retain top AI employees, its chief AI scientist is leaving to launch his own startup. This proves that in a hyper-competitive field like AI, the potential upside and autonomy of being a founder can be more compelling than even the most extravagant corporate retention packages.