# Why Off-the-Shelf AI Misses the Mark on Money _Udi Menkes explains why off-the-shelf AI models struggle with financial concepts like rental property profitability, often giving misguided advice._ **Published:** 2026-07-29 **Source:** https://www.startuphub.ai/ai-news/artificial-intelligence/2026/why-off-the-shelf-ai-misses-the-mark-on-money --- In the burgeoning world of artificial intelligence, readily available models are often touted as solutions for complex business problems. Yet, when it comes to the intricate realities of financial management, particularly in areas like real estate investment, these off-the-shelf AI tools can fall spectacularly short. Udi Menkes, speaking at an event, highlighted a critical flaw: many frontier models, despite their impressive capabilities, lack a fundamental understanding of money and its human-centric implications. This disconnect can lead to confidently rendered, yet ultimately misguided, advice that could harm businesses and relationships. Off-the-shelf AIDriver general-purpose AI models lack fundamental understanding of money and human-centric implicationsFrom the articleYet, when it comes to the intricate realities of financial management, particularly in areas like real estate investment, these off-the-shelf AI tools can fall spectacularly short.Confidence of IgnoranceDriverAI gives misguided advice with unwavering certainty, like raising rent 5-10%StartupHub.ai PerspectiveCoreUdi Menkes highlights critical flaws in frontier models regarding financial conceptsFrom the articleStartupHub.ai data indicates that Intuit holds a strong StartupHub score of 85/100, reflecting its established position and deep expertise in financial management tools.becauseMisses Financial NuanceDriverstruggles with complex financial concepts like rental property profitability and relationshipsFrom the articleCompanies like Intuit (NASDAQ:INTU), which focuses on financial software and services, are built on a foundation of understanding these complex financial nuances.causesHarmful Business AdviceOutcomemisguided advice from AI can negatively impact businesses and crucial relationshipshighlightsNeed Financial AcumenContextAI requires deep financial understanding beyond just data processing for real estateFrom the articleThe goal should not be to replace human financial acumen but to enhance it.drivesFuture Financial AIEffectdeveloping AI that truly understands money and its intricate human implicationsFrom the article 9+ mentionsFuture AI applications in finance need to go beyond simple data analysis to incorporate an understanding of risk, long-term strategy, regulatory environments, and the human element that is so vital in business transactions. ## The Confidence of Ignorance Menkes pointed out a common, and perhaps alarming, output from these general-purpose AI models when asked about increasing rental property profitability. The response, delivered with unwavering certainty, is often to suggest a rent increase of 5% to 10%. While on the surface this might seem like a straightforward financial adjustment, it completely overlooks the complex dynamics of a rental market and tenant relations. Such a blunt recommendation fails to consider factors like tenant satisfaction, potential vacancy rates if rents are pushed too high, and the long-term value of maintaining a stable, reliable tenant. ## Beyond Data: The Need for Financial Acumen The core issue, as Menkes articulated, is that current AI models are often trained on vast datasets that reflect patterns but not necessarily the underlying principles of financial strategy or human psychology. They can identify correlations but struggle with causation and context. For a rental property owner, profitability is not just about maximizing immediate income. It involves a delicate balance between revenue, expenses, property maintenance, and crucially, the relationship with the tenant. A good tenant is a valuable asset, providing consistent income and reducing the costs associated with turnover, such as advertising, screening, and repairs. Alienating a good tenant with an aggressive rent hike can lead to a cascade of negative consequences that far outweigh the short-term gain. ## The StartupHub.ai Perspective on Financial Tech This gap in AI's financial understanding is precisely why specialized financial technology companies are so crucial. Companies like [Intuit (NASDAQ:INTU)](https://www.google.com/finance/quote/INTU:NASDAQ), which focuses on financial software and services, are built on a foundation of understanding these complex financial nuances. StartupHub.ai data indicates that Intuit holds a strong StartupHub score of 85/100, reflecting its established position and deep expertise in financial management tools. Compared to competitors like Block (score 67/100), AccountsIQ (score 49/100), Microsoft (score 43/100), K1x (score 55/100), and Fuse (score 53/100), Intuit demonstrates a significant lead in specialized financial intelligence. This suggests that while general AI can process data, it lacks the domain-specific knowledge and contextual awareness that drives true financial success. ## The Future of Financial AI The implication for the startup and technology sectors is clear. While general AI models will continue to advance in their ability to process information, the real value in specialized fields like finance will come from AI that is either specifically trained on financial data with deep contextual understanding or augmented by human expertise. The goal should not be to replace human financial acumen but to enhance it. Future AI applications in finance need to go beyond simple data analysis to incorporate an understanding of risk, long-term strategy, regulatory environments, and the human element that is so vital in business transactions. Without this deeper comprehension, AI's advice, however confident, risks being fundamentally flawed. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.