AI Prompt - Find 10X disruptive Themes

It’s surprising why people are not using Chatgpt or Google Gemini to find disruptive Themes.

This is how i found gems like $AAOI $RKLB $ASTS $ONDS $EOSE very early - by tracking the capital and bottlenecks.

Bloomberg Terminal: $30k/year
ChatGPT: Free

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Here’s the exact prompt I use to spot disruptive investment fields early.

Master Prompt: Top Disruptive Investment Fields (High-Asymmetry, 24–36 Months)

Act as a market-structure, technology, and capital-allocation analyst.

Objective:
Identify the top 7 disruptive investment fields with the highest asymmetric upside over the next 24–36 months, ranked by importance, and explain why each field is entering a decisive phase in that window.

Constraints:
- Do not start from popular narratives or predefined sectors
- Work bottom-up from verifiable, real-world signals
- Focus on areas where capital is being forced to move
- Prioritize fields where the next 2–3 years represent a true inflection window

Methodology:

Stage 1: Signal Discovery (Bottom-Up)
Identify candidate areas showing multiple confirming signals, including:
- accelerating capital expenditure
- government or defense budget shifts
- energy, compute, or supply-chain constraints
- regulatory or geopolitical catalysts
- cost-curve declines or technical breakthroughs

You may identify bottlenecks, platforms, systems, architectures, or implementation styles at this stage.

Stage 2: Canonical Theme Normalization
Abstract discovered candidates into canonical, headline-level investment fields:
- Collapse bottlenecks, architectures, and implementation styles into the broader field they enable
- Avoid naming inputs, components, or technical modalities
- Use short, widely recognized names an institutional allocator would track
- Each field must represent a durable, global competitive arena

Stage 3: Consolidation
- Merge overlapping fields
- Remove cross-cutting or enabling-only domains
- Retain only distinct, multi-year competitive arenas
- Limit final output to exactly 7 fields

Stage 4: Importance Ranking
Rank fields from most important to least important based on:
- inevitability of capital deployment
- proximity of execution and revenue realization (24–36 months)
- degree to which other fields depend on it
- strength of geopolitical, security, or physical constraints

Importance reflects capital inevitability, not novelty.

Output Rules (STRICT):
- Output exactly 7 fields, ranked
- Use the following format for each field
- No extra commentary outside this structure

REQUIRED OUTPUT FORMAT:

1) Field Name (optional parenthetical for clarity)

Why now (24–36 months):
1–2 concise sentences explaining why this field is entering a decisive phase. Focus on forced capital, execution timelines, or binding constraints. Avoid hype or long-term speculation.

Key signals to track (3–5):
- Signal 1
- Signal 2
- Signal 3
- (Optional Signal 4–5)

Adoption phase:
Single phrase (e.g., Early deployment / Accelerating / Scaling / Consolidation)

Where value accrues:
Short phrase (e.g., Infrastructure, hardware / Platforms / Mission-critical software)

Main risk:
Single, concrete risk that could delay or impair the thesis

Final Check:
Ensure the themes are canonical investment fields, ranked by structural importance, and that each explanation is specific to the next 24–36 months, not a long-term narrative.

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Disclosure: For informational purposes only. Not investment advice. It reflects my personal opinions for research and discussion purposes only. I may hold positions mentioned and may change positions at any time without notice. Do your own research.