Overview
AI Forecasting Analyst sought to join a global intelligence and advisory firm in New York.
The forecasting team works with a community of business and government leaders built around the delivery and exchange of unique intelligence and forecasts on the most market-moving geopolitical and economic issues including;
- AI and energy: Will power infrastructure scale fast enough to meet AI demand?
- Semiconductor supply: Where are the binding constraints across fabrication, packaging, and memory?
- Compute efficiency: What token-efficiency gains will hardware and software deliver over the next three years?
- AI and white-collar labor: How many white-collar jobs will AI displace across 20+ sectors?
- AI and blue-collar labor: How far and how fast will robotics displace physical labor?
- AI policy: What is the likely shape and timing of labor, safety, and fiscal AI regulation in the US?
- Cyber: How will AI shift the balance between attackers and private-sector defenders?
Key Responsibilities
In this role, the analyst will own forecasts end to end—from research and methodology through to the client briefing. Day to day, that means:
- Researching, building, and presenting scenario-based, time-bounded forecasts on the questions that matter most to clients.
- Working within and advancing the firm’s proprietary scenario-generation methodology.
- Consulting with experts across the full spectrum of the field, from frontier AI developers and academics to industry practitioners and former technology-policy leaders.
- Tracking developments across a wide range of data sources to keep forecasts current.
- Translating those forecasts into direct client impact, and briefing senior executives on the company’s findings.
Skills, Knowledge & Experience
This is an early- to mid-career position. Ideal candidates will have completed an undergraduate or graduate degree.
Candidates must have:
- Prior internship, professional, or academic experience in technology, policy, sell-side research, consulting, risk analysis, government, or international business.
- Demonstrated experience or distinctive expertise in at least one of the following:
- AI capabilities: a working understanding of how frontier models are actually advancing, from algorithmic progress to scaling dynamics
- AI or technology policy
- Critical technology supply chains (semiconductors, power infrastructure)
- Quantum computing
- Sovereign and international AI (Europe, the Middle East, and beyond)
- China’s AI strategy (models, compute, and industrial policy)
- Robotics
- A strong academic record (minimum GPA of 3.5 in college and/or graduate school).
- A proven capacity to research, write, and present complex material
- Superior communication and oral/written presentation skills
- A personal and professional history that reflects honesty, discipline, initiative, creativity, and a powerful intellect.
- Exposure to equity research or financial analysis—through coursework or work experience—is a bonus, though not a requirement.
