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Home » AI financial planning should focus on short-term decision-making.
AI in Finance

AI financial planning should focus on short-term decision-making.

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The Impact of AI on Financial Planning: A Study by Vlerick Business School

A recent study conducted by Vlerick Business School reveals that artificial intelligence (AI) is significantly outpacing humans in the realm of financial planning, particularly in budget allocation processes guided by strategic directives. Companies integrating AI into their budgeting practices experience notable enhancements in both the accuracy and efficiency of their financial plans compared to traditional human decision-making approaches.

Understanding the Role of AI in Budgeting

The primary aim of the research was to examine how effective AI technology is in assisting companies with their financial decisions. Specifically, it sought to understand whether AI’s financial choices align with the long-term strategic objectives of organizations and how these decisions measure against those made by human managers.

Research Methodology

Led by Kristof Stouthuysen, a professor of digital management and financial accounting, along with PhD candidate Emma Willems, the study explored both tactical and strategic budgeting methodologies. Tactical budgeting involves short-term, reactive decisions aiming to enhance immediate performance, while strategic budgeting necessitates a comprehensive approach that aligns resources with the broader vision of the business.

AI’s Superior Performance in Tactical Budgeting

According to the findings, AI excels in executing tactical budgeting tasks, such as cost management and resource allocation. However, human insight remains essential for ensuring precise and strategic long-term financial planning, as AI struggles with aligning key performance indicators (KPIs) to overarching company financial goals.

Comparison of Human and AI Decision-Making

The controlled experiment involved a management simulation where experienced managers allocated budgets to a fictional car parts company. Stouthuysen and Willems compared these human-generated budget allocations with those produced by an AI algorithm utilizing the same financial data. The results indicated that AI optimizes budgets more effectively when a company’s strategic financial planning is clearly established.

The Importance of Human-AI Collaboration

Stouthuysen and Willems emphasized the need for collaboration between human expertise and AI capabilities. “As AI continues to evolve,” they noted, “companies harnessing its strengths in tactical budgeting while relying on human judgment in strategic planning will be better positioned for competitive advantage.” Recognizing where AI can take the lead and where human intuition remains vital is crucial in this collaboration.

A Balanced Approach to Budgeting

The research challenges the prevailing misconception that AI could entirely replace human roles in budgeting. Instead, it underscores the significance of adopting a balanced methodology that leverages both AI and human insights. By outsourcing certain tasks to AI while retaining human oversight for more complex decisions, organizations can maximize their financial performance and sustain growth.

Conclusion: Defining Strategic Priorities for AI Integration

In conclusion, AI shows great promise in taking over tactical budgeting responsibilities, achieving accuracy and effectiveness beyond human capabilities. Stouthuysen and Willems advocate for companies to clearly articulate their strategic priorities and implement AI for tactical decision-making to optimize financial outcomes. Embracing this balanced approach will not only enhance operational efficiency but also position businesses for future success in an increasingly data-driven world.

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PayTM’s Share Price Drops by 10%: Understanding MDR and the Call from FinTech Companies for Government Action.

July 5, 2025

Irish Fintech Nomupay secures $40 million, reaching a valuation of $290 million with SoftBank.

July 5, 2025

Finch Fintech Qonto aims to secure a banking license to reach two million customers by 2030.

July 5, 2025
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