In finance, our worst enemy is often our own confirmation bias. Discover how to force AI to play the role of a ruthless risk manager to destroy your investment theses and reveal your blind spots.
In finance, our worst enemy is often ourselves: confirmation bias. When we have an investment intuition, our brain naturally tends to seek only information that validates our idea.
This week, we are going to use AI not to find investment ideas, but to destroy our own convictions. The goal? To crash-test our thesis before risking a single euro on it.
The Strategy Behind This Prompt
We are going to force the AI to play the role of a ruthless risk manager. For the exercise to be useful, the prompt is designed to force the AI out of generalities by imposing a strict structure:
- Identify the blind spots (what we forgot to consider).
- Create a realistic nightmare scenario (not the end of the world, just the harsh reality of the markets).
- Propose a hedging strategy (safety net).
The Prompt to Copy and Paste (in English)
"Act as a ruthless institutional risk manager. I'm going to give you an investment thesis. Your goal is not to agree with me, but to systematically destroy it with well-reasoned arguments.
My thesis: I believe AI will be a massive value booster for maritime freight and supply chain logistics (route optimization, terminal automation). I want to position myself on shipping stocks like Maersk, Hapag-Lloyd, or Logistics ETFs to profit from their exploding margins.
Please respond by structuring your answer exactly like this:
- The 3 Blind Spots: Identify the 3 biggest risks (macroeconomic, sector-specific, or technological) that I am ignoring.
- The Nightmare Scenario: Describe a realistic sequence of events over the next 12 months that would cause this asset class to drop by 30%.
- The Safety Net: Suggest a specific asset or strategy to hedge this risk in my portfolio."
The Gemini Test
Here is what Gemini answered us (translated and summarized for you):
1. The 3 Blind Spots
- The carbon debt wall: The optimization gains from AI will be completely wiped out by the colossal energy transition costs imposed by new maritime regulations (green fuels).
- The technological commoditization trap: AI is not an exclusive competitive advantage. If Maersk has it, Hapag-Lloyd has it too. The reduction in operational costs will be passed on to lower freight prices for the final customer, not to the carriers' margins.
- The social and union risk: Port terminal automation will trigger major docker strikes, paralyzing the supply chain and destroying short-term profitability.
2. The Nightmare Scenario (12-month horizon)
A fierce price war breaks out among carriers using AI to over-optimize fleets that are already in overcapacity. Simultaneously, a major union blockade in US ports against AI paralyzes flows. Freight rates collapse by 40%, causing a 30% drop in sector stocks.
3. The Safety Net (Hedging)
Rather than betting on carriers (who will suffer the price war), bet on the "picks and shovels sellers": B2B software publishers specializing in the supply chain (e.g., Descartes Systems Group) or ETFs linked to industrial cybersecurity, which will become indispensable as fleets digitalize.
