Why AI Can't Do Accounting (Yet)?
Hitendra R. Patil
??Top 100 Influencer in Accounting ?? Executive Leadership ?? CPA/Accountants' Success ?? CAS ?? CAAS ?? Customer Success ?? Fintech ?? SaaS ?? Outsourcing, Offshoring ?? Author ?? Speaker ?? Consultant ?? AI Evangelist
If you were a software engineer with a CPA license (or vice versa), how would you answer this question?
Can AI replace accountants?
Despite ChatGPT passing the CPA exam and despite the potential for AI to automate much of the accounting processes, there are still some core reasons why AI is not (yet) capable of entirely replacing human accountants.
Why?
To understand this fully, one needs to learn how AI is created , how it learns on its own, and how it works.
Fundamentally, accounting is not solely about computations.
Can you imagine a most trusted advisor who does not know the context of a client's situation?
My accountant understands my business and my industry.
Can I pick your brain? This question from your clients could be a great differentiator in the coming times!
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Will there be an AI tool officially licensed as a CPA?
Legally compliant can still be on the borderline of ethical considerations.
Would there be one single or several interconnected accounting databases accessible to every AI system?
These are just a handful of crucial reasons why AI can't yet fully replace accountants. To get a comprehensive, more profound understanding of what AI will find challenging to replace in accounting, get familiar with the fundamentals of AI (and no, it does not require any prior knowledge of AI to learn about AI.)
Don't underestimate AI.
If you are an accountant reading this and what is mentioned above is making you feel comfortable, you would love to learn more about AI.
Regardless of any (current) limitations, AI can play a vital role in accounting. AI can be utilized to significantly automate routine tasks like data entry and reconciliation, allowing accountants to focus on higher-level tasks that require human judgment and expertise. AI can also be utilized to analyze large datasets and identify patterns and insights that may be commercially unviable or manually very difficult to be immediately evident to human accountants.
Fully harnessing the benefits of AI in accounting would require a comprehensive understanding of both - the technical aspects of AI and the practical considerations of accounting.
The bare minimum necessity is for accountants to learn how AI is created, how it learns and works.