Wall Street Earnings: AI Prompts to Maximize Financial Insight

Recent AI Developments Investors Should Watch

The last two weeks have seen major AI advancements that are already influencing markets and investment strategies:

• Trump’s Stargate Project & AI Executive Order – One of the first major initiatives announced by newly inaugurated U.S. President Donald Trump is the Stargate Project, a $500 billion investment in AI infrastructure, signaling a bold push for U.S. AI dominance. He also introduced the "Removing Barriers to American Leadership in AI" executive order, designed to fast-track AI development by eliminating regulatory constraints. These moves could accelerate AI adoption across industries, including finance.

• OpenAI’s “Operator” AI Rolls Out – A new semi-autonomous AI agent, currently available to ChatGPT Pro users, can execute real-world tasks like making purchases and scheduling appointments.

• DeepSeek AI Shakes Up the Industry – China’s DeepSeek R1 model triggered a massive selloff in U.S. tech stocks, with Nvidia losing $600 billion in market cap. The development raises questions about competitive risks in AI leadership and market positioning for U.S. firms.

• OpenAI Expands AI for U.S. Government Use – OpenAI launched ChatGPT Gov, a dedicated AI platform for U.S. agencies to enhance decision-making and efficiency. It also partnered with U.S. National Laboratories, granting government scientists access to its most advanced AI models for critical research, including nuclear security.

AI is moving at breakneck speed, and investors need to stay ahead of these shifts—especially when evaluating earnings reports from companies at the center of this transformation.

AI Prompt Example 1: Extracting Key Takeaways from Earnings Reports

📌 Prompt:
"Summarize the [Quarter/Year] earnings report for [Company Name] released on [Date], by extracting key financial metrics including revenue growth, earnings per share (EPS), operating margins, and free cash flow. Compare the results with analyst expectations and performance with the same quarter last year, as well as against industry benchmarks where applicable. Additionally, provide insights into qualitative factors such as management commentary, industry trends, and any regulatory or macroeconomic influences, highlighting any recent events affecting these elements. Include a bullet-point summary, suggest one follow-up question for further analysis, and provide references where applicable."

 Why This Works:

✔ Filters out fluff – Focuses on numbers and forward-looking guidance.
✔ Provides context – Compares results against past performance and market expectations.
✔ Actionable insights – Identifies earnings surprises that could move the stock.

🎯 Try This:
Use the prompt above for one of this week’s earnings releases (e.g., Amazon, AMD, Uber). Compare the AI-generated summary with news coverage—does it give you clearer insights?

AI Prompt Example 2: Researching Amazon’s Earnings Outlook Before Release

Amazon’s (AMZN) Q4 earnings report, set for February 6 (after market close), could be a major market-moving event. AI can help you research potential stock reaction (moves) before the results are released.

📌 Prompt:
“Analyze Amazon’s (AMZN) upcoming Q4 2024 earnings report outlook by reviewing key financial metrics and market expectations ahead of its earnings report to be released on [Date]. Break down revenue, EPS, and operating margins across major segments, including AWS, retail, and advertising, while factoring in current market conditions and analyst consensus. Compare projections against Wall Street estimates to highlight areas of potential surprise. Provide references.”

Follow-up Questions:

1. “How has historical AMZN stock price reaction to other Q4 earnings reports shaped market sentiment, and what patterns can be observed in previous Amazon share price moves?”

2. “What significant risks and potential catalysts could have influenced Amazon’s performance in Q4, and how do they compare to recent industry trends?”

🎯 Try This:
Run these prompts before Amazon’s earnings release, then tweak them post-earnings to see how the narrative shifts.

Several earnings reports to watch in the markets:

This Week in History:

February 4, 2004: Facebook, the social media platform, was launched by Mark Zuckerberg and fellow Harvard College students, eventually growing into one of the world's largest social networking sites.

February 10, 1996: World chess champion Garry Kasparov lost a game to Deep Blue, an IBM computer capable of evaluating 200 million positions per second, marking the first time a computer defeated a world champion in a standard chess match.