The Best AI for Financial Modeling

Why It Matters

AI can speed up model construction but hidden errors threaten accuracy, forcing finance teams to balance automation with rigorous oversight.

Key Takeaways

• AI models build visually polished three‑statement models quickly.
• Accuracy gaps keep AI below lower‑tier human analyst performance.
• Errors are subtle, hidden in data integration and circularities.
• Tools boost speed but can become productivity detractors if trusted blindly.
• Current AI progress in finance modeling has noticeably slowed.

Summary

The video evaluates whether AI can produce investment‑banking‑grade three‑statement models in 2026, benchmarking the latest tools against the same rubric used for entry‑level analysts. The author tasked Shortcut, Microsoft Copilot, and ChatGPT with building a model from scratch and graded the outputs with the standard analyst rubric.

Shortcut emerged as the clear leader, closely matching a lower‑bucket analyst, while Copilot and ChatGPT lagged far behind. All tools generated a polished, well‑formatted model in about 15 minutes—far faster than the two‑hour effort a human analyst typically requires. However, the models contained numerous subtle errors in historical data cleaning, debt integration, and circular reference handling, mistakes that seasoned analysts rarely make and that are hard to detect.

The presenter highlights that the AI‑generated model looks immaculate, complete with comments and organized assumptions, creating a false sense of reliability. When users over‑trust these outputs, they risk spending additional time correcting hidden flaws, turning a speed advantage into a productivity drain. The study’s full benchmark, linked in the video, underscores the need for rigorous validation.

Ultimately, AI tools act as a “kick‑starter” for financial modeling rather than a replacement for human analysts. They can accelerate routine structuring but must be overseen carefully. The pace of improvement has slowed, suggesting finance professionals should adopt AI as a productivity aid while maintaining strong analytical controls.

Original Description

Can today’s AI tools for financial modeling actually build an investment banking–quality three-statement model?

In this video, we benchmark leading AI platforms against the same standards used to evaluate real incoming investment banking analysts. The tools are pushed to replicate a real-world modeling task and graded using professional rubrics.

The result is a clear-eyed look at what AI can—and can’t—do in modern financial modeling workflows.