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

LAZR: When a Photonics ETF Becomes a Private AI Wrapper

Where Is the True Value in the Optics Trade? A Comparison of 3 ETFs

Before CPO: Optics Earnings Are Already Separating Scarcity From Volume

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

Anthropic's Latest Misstep Is A Game Changer For Sovereign & Open Source AI

OpenAI Misses Internal Sales and Active Users Goals - Impact on Samsung Electronics and SK Hynix

Initial Thoughts on the Anthropic IPO in 2H26 and Key Beneficiaries in Korea

Initial Thoughts on the OpenAI IPO and the Key Korean Stocks to Benefit from the OpenAI IPO

AI | Semiconductors | Commodities, Mint Finance

Raghav Vashisht

AI | Semiconductors | Commodities

Thematic (Sector/Industry)

United states Semiconductors and semiconductor equipment / Thematic (Sector/Industry)

<ul>
<li>Enterprises are slashing AI bills by up to 17x through "model routing," i.e. using cheap open models for routine execution while reserving expensive frontier models strictly for high-stakes workflows.</li>
<li>Plunging token prices are clashing with surging infrastructure costs; OpenAI is bleeding cash subsidising free users, while Anthropic’s projected profitability relies heavily on temporary and discounted compute deals.</li>
<li>The survival of frontier labs depends on ditching opaque token metering. Enterprises demand fixed-cost, embedded workflows over open-ended compute bills that spike unpredictably based on hidden context lengths.</li>
</ul>


Enterprises are slashing AI bills by up to 17x through "model routing," i.e. using cheap open models for routine execution while reserving expensive frontier models strictly for high-stakes workflows.
Plunging token prices are clashing with surging infrastructure costs; OpenAI is bleeding cash subsidising free users, while Anthropic’s projected profitability relies heavily on temporary and discounted compute deals.
The survival of frontier labs depends on ditching opaque token metering. Enterprises demand fixed-cost, embedded workflows over open-ended compute bills that spike unpredictably based on hidden context lengths.


The Great AI Arbitrage: Plunging Token Prices Meet Surging Capex