Global family offices are shifting capital away from traditional venture capital funds to buy shares directly in AI companies through secondary markets. This strategy offers investors more control over their portfolio and access to established firms, but it also introduces significant risks related to high valuations and lack of diversification.
Large private wealth management firms, often called family offices, are changing how they invest in artificial intelligence. Instead of handing money to venture capital (VC) funds—where managers decide which startups to back—wealthy families are increasingly choosing where to put their money themselves. This trend marks a move away from the traditional model of committing capital to long-term, blind pools where the investor has little say in the specific companies chosen.
The shift relies heavily on direct deals and secondary market transactions. In a secondary market trade, an investor buys existing shares from a previous shareholder, such as an early employee or an initial investor, rather than providing new capital to the company. This approach allows family offices to target specific, proven AI leaders like OpenAI or Anthropic. By purchasing stakes in companies that have already demonstrated product-market fit and customer traction, these investors aim to avoid the risk of a startup failing during its very early development stages.
For many wealthy investors, this strategy is about control. Traditional venture funds lock away capital for years, and investors must accept the performance of the entire portfolio. By selecting individual AI businesses, family offices can tailor their exposure to companies they believe are the strongest in the sector. This trend of ultra-high-net-worth individuals and family offices seeking private market opportunities is also gaining traction in India. Similar to their global peers, many wealthy Indian family offices are increasingly exploring direct private investments in tech and growth-stage companies, moving beyond public markets to gain better access to unlisted winners.
However, this approach comes with notable financial risks. The first is valuation risk. AI startups currently command high valuations, and investors are paying a premium to get in. If these companies cannot grow their revenue enough to justify these price tags, the investment could lose significant value. Second is liquidity risk. Unlike buying shares on the National Stock Exchange (NSE) or the BSE, shares in private companies are illiquid, meaning they cannot be easily sold if an investor needs cash urgently. Finally, there is the risk of concentration. Investing in a handful of companies is far riskier than putting money into a diversified VC fund that spreads capital across dozens of different startups. If the chosen AI company struggles, there is no diversification to protect the portfolio from losses.
As family offices compete for limited access to the most popular AI firms, the focus will remain on whether these companies can turn their technological promise into sustainable profit. Investors should watch how these private market valuations hold up as the sector matures and competition among AI providers intensifies.