When I talk to product and strategy managers in the energy industry, one challenge consistently emerges:
How can we swiftly and confidently uncover new market opportunities for our technology?
The energy sector is evolving rapidly, driven by AI-powered data centers, surging demand for low-carbon solutions, and dynamic policy shifts. To stay ahead, you need to:
Clearly understand market drivers
Precisely map the partnerships ecosystem
Quickly spot emerging applications
However, leveraging AI tools like ChatGPT or Perplexity often involves running multiple prompts, manually synthesizing insights, and hoping results aren't overly generic.
Here's the exact workflow I use to confidently identify in-depth opportunities. Let’s consider a practical example: Fuel Cells.
Step-by-Step Workflow:
Step 1: Define the Right Persona
“You are a Bloomberg-style clean tech analyst tasked with uncovering high-value commercial opportunities, grounded in real data. No fluff, just actionable insights.”
Step 2: Execute Targeted Prompts
Prompt 1 – Identify Market Drivers:
“What are the key market drivers for Fuel Cells? Include TAM growth, CAGR, and analyst forecasts.”
Prompt 2 – Detect Commercial Signals:
“Provide the latest partnerships, joint ventures, product launches, and significant investments.
Who leads the market?
What do recent entrants indicate about changing demand?
Which new segments are surfacing?
Which regions stand to gain most? (Reference sources like EIA, IEA, Bloomberg.)”
Prompt 3 – Conduct Segment-Specific Analysis:
“For Fuel Cells in data centers:
Identify emerging companies.
Detail the value proposition of fuel cells in this space.
Which customers demonstrate willingness to pay a premium, and why?”
Data & Output Structure:
Direct the analysis to:
Source data from Bloomberg, EIA, IEA, official filings, press releases, and industry journals.
Highlight verified commercial events: JVs, MoUs, pilot projects, product launches.
Use clear headings, bullet points, and accurately cite references (e.g., Bloomberg Q2 2025).
Executing these prompts independently yields rich, actionable insights.
Final Step – Summarize the Opportunity Clearly:
“Provide a comprehensive summary of all viable opportunities for Fuel Cells specifically in data centers and rail applications.
Support every insight with explicit commercial signals, avoiding generic summaries.”
Automate This Workflow with Advanced AI Agent Tools:
This step-by-step workflow produces highly detailed analyses in the energy sector when using tools like ChatGPT or Perplexity.
Rather than manually building and refining prompts, advanced AI-powered market intelligence tools can automate this entire strategic opportunity analysis. For instance, tools like Anthropic help you build agent networks, or you can utilize out-of-the-box solutions like Enki.
These solutions intelligently suggest critical questions based on your chosen energy topic, optimize prompts, and seamlessly integrate credible commercial data from reputable industry sources.
This approach consistently delivers precise, domain-specific insights at scale.