Because boards lack deep expertise in AI's seismic impact, they are pursuing scale-driven M&A. The goal is to accumulate diverse assets ('cards in a deck') to maintain flexibility and strategic options in an unpredictable, AI-driven future, rather than making specific bets on the technology itself.
The term 'private equity' is now insufficient. The M&A market's capital base has expanded to include sovereign wealth funds and large, tech-generated family offices that invest directly or co-invest like traditional PE firms. This diversification creates a larger, more resilient pool of capital for deals.
Current M&A activity related to AI isn't targeting AI model creators. Instead, capital is flowing into consolidating the 'picks and shovels' of the AI ecosystem. This includes derivative plays like data centers, semiconductors, software, and even power suppliers, which are seen as more tangible long-term assets.
Despite geopolitical risk and economic uncertainty, M&A is surging because companies are executing on long-term (20-30 year) strategic repositioning plans conceived post-COVID. When capital markets open, even briefly, companies are quick to act on these dormant, high-conviction plans, ignoring near-term volatility.