How should investors value AI companies when most are not yet profitable at scale?

Investors should approach valuing AI companies by recognizing the limitations of traditional linear growth models, which struggle with AI's exponential potential and high uncertainty in competition and returns [1]. Instead, the investment opportunities approach can justify bubble-like valuations for growth-oriented Gen AI stocks, focusing on future scalability rather than current profitability, though this risks exposure when the AI hype cycle enters disillusionment [3][5]. Emphasizing long-term value creation, such as through extended ROI horizons and balanced portfolios, helps mitigate skepticism, but investors must demand clearer paths to monetization amid concerns that AI may yield only half the profits needed to offset massive capex [6][9][11].