The demands of a career at the highest level distort far more than a balance sheet. I spent three decades as a CFO watching brilliant executives sacrifice marriages, friendships, and health on the altar of the next quarter. What is happening in San Francisco’s artificial intelligence sector right now is that same dynamic compressed into a much younger cohort, and it deserves the same sober assessment I would apply to any high-concentration portfolio position.
Consider Mehul Agarwal, a 24-year-old co-founder of an AI filmmaking start-up called Koyal. His company has raised $3.4 million and passed through Y Combinator, which places it among the roughly one to two percent of start-ups that clear that filter. On paper, this is an enviable position for someone so young. Yet Mr. Agarwal has articulated a personal deadline that would strike most seasoned professionals as extraordinarily aggressive: he intends to find a spouse before his wealth materializes, so that he never has to question whether a partner is drawn to him or to his balance sheet. He has given himself until roughly age 28, after which he would fall back on the arranged marriage circuit his family tradition offers.
There is a certain cold logic here. Pre-money, relationship incentives are cleaner. Post-liquidity, every introduction carries an implicit valuation question. Anyone who has managed a large estate or sat through family wealth negotiations understands the diligence burden that sudden wealth imposes on personal relationships. Mr. Agarwal is, in effect, attempting to execute a transaction before the asset appreciates, because he knows the post-wealth market will be noisier and harder to price.
But applying deal-making frameworks to courtship produces predictable inefficiencies. His screening criteria — a partner who is intelligent, ideally credentialed from Stanford or MIT, physically attractive but distinguished from merely “hot,” kind, possessed of genuine personality, and mutually interested — reads like an investment mandate with five simultaneous non-negotiable constraints. In portfolio construction, stacking requirements of that stringency virtually guarantees a failed search. Reduce the criteria by even one variable and the addressable universe expands materially. His own assessment that personality is “very, very hard” to find in San Francisco is, statistically, an admission that his screen is over-constrained for the market in which he operates.
The broader picture confirms this is not an individual quirk but a sector-wide phenomenon. The AI boom has drawn an extraordinary concentration of young, ambitious capital and labor into roughly seven square miles of San Francisco. Founders and engineers are working longer hours to establish their positions before the window closes, and dating has contracted accordingly. When these individuals do go on dates, they arrive with a high-stakes, evaluation-driven mindset. Mr. Agarwal’s own experience is instructive: a single date took two months to schedule, involved another AI start-up employee, and because both parties were so practiced at professional conversation, the evening functionally resembled a networking meeting rather than a courtship. First coffees across the city now carry the texture of final-round interviews.
From a portfolio standpoint, several observations merit attention.
First, human capital is being deployed at near-total concentration. These young professionals have allocated essentially all of their time and energy to a single position — their start-up or their equity stake in one. Diversification principles that any fiduciary would enforce on a financial portfolio are being violated wholesale in the human domain. Concentrated bets can produce extraordinary returns; they also produce catastrophic downside outcomes with no hedge. A 28-year-old who has deferred all relationship formation for a liquidity event that may never arrive, or may arrive late, carries uncapped personal risk with no offsetting position.
Second, the liquidity timeline itself is speculative. A $3.4 million seed round is an early checkpoint, not an exit. The median time from seed to liquidity remains in the range of five to seven years, and the majority of venture-backed companies never deliver a meaningful return to common shareholders at all. Structuring life decisions around an exit event whose timing and probability are both uncertain is the human equivalent of borrowing against unrealized gains. Mr. Agarwal’s four-year personal window may well close before any wealth materializes, leaving him with neither the spouse nor the liquidity he sequenced his life around.
Third, the opportunity cost compounds. Relationship formation, like compounding, rewards early and consistent investment. The executives I advised who delayed family formation until their forties and fifties almost universally described the delay as their single greatest regret, and the practical difficulties of late-stage family formation are well documented. Time is the one asset that cannot be raised in a subsequent round.
Fourth, the market structure itself is distorted. When an entire cohort simultaneously defers dating and approaches it transactionally, matching efficiency collapses. Two exhausted founders conducting due diligence on each other over coffee, both mentally rehearsing pitch-deck small talk, are not engaged in the activity that actually builds durable partnerships. The behavior is rational individually and collectively corrosive — the same dynamic that produces bubbles in any market where everyone adopts identical strategies.
For the executives, advisors, and experienced investors reading this, the actionable point is not about Mr. Agarwal specifically. It is about allocation discipline as a life principle. The most capable operators I worked with understood that sustainable performance required deliberate diversification of identity and commitment — family, community, health, and interests held alongside the career position, not deferred until after it. Those who ran a fully concentrated life, betting everything on the next promotion, exit, or windfall, tended to perform worse over the long arc, not better. The research on burnout and decision fatigue supports this; so does the simpler observation that people with stable personal foundations make better capital allocators.
Mr. Agarwal’s instinct — to secure the personal foundation before the money arrives — is directionally sound. His execution, treating it as a milestone gated on criteria that would fail any reasonable investment screen, is where the discipline breaks down. Structure matters. A four-year deadline, a five-constraint filter, and a market where every counterparty is overworked and evaluation-oriented is not a plan; it is a wish dressed in spreadsheet clothing.
The disciplined approach would be to treat relationship formation the way any rational investor treats a core position: start early, invest consistently, diversify the criteria, and refuse to let a single speculative liquidity event dictate the timetable. Wealth can be rebuilt. The compounding window on a life cannot.
The most valuable holdings in any portfolio, financial or personal, are the ones you build before you think you can afford them.
