Mint Finance

Mint Finance's investment research blends deep fundamental analysis with technical & quant insights. Investment strategies straddle across multiple asset classes with risk management embedded into every trade to deliver an outsized reward-to-risk ratio.

Mint Finance's research is centered around three key themes. First, energy transition and climate change. Second, artificial intelligence. Third, shifting world order with its impact across politics and monetary economics.

Deep Fundamental Analysis

MIT Report Claims 95% of GenAI Projects Fail. How Is This Possible?

OpenAI and Its House Built on GPUs, Debt, and Leveraged Demand

AI | Semiconductors | Commodities, Mint Finance

Raghav Vashisht

AI | Semiconductors | Commodities

Equity Bottom-Up

<ul>
<li>Token costs no longer drop meaningfully with scale, and inference remains a fixed, expensive burden.</li>
<li>Rather than delivering major performance gains, GPT-5 appears to be a cost-routing shell, underperforming in several benchmarks.</li>
<li>With $115B in projected losses and hardly any visible scale-based leverage, OpenAI's only path forward is monetisation.</li>
</ul>


Token costs no longer drop meaningfully with scale, and inference remains a fixed, expensive burden.
Rather than delivering major performance gains, GPT-5 appears to be a cost-routing shell, underperforming in several benchmarks.
With $115B in projected losses and hardly any visible scale-based leverage, OpenAI's only path forward is monetisation.


OpenAI’s Path to Profitability Is Blocked by a $115B Compute Burden