I see a lot of people worried on this sub on their job potentially being taken by AI in the next AI or so. I spent some time thinking about this and came to the conclusion that people are worried too much for a number of reasons.
1 - Accounting was already highly automated
ERPs have already taken over almost all transactional accounting, memorized journal entries and specifically designed contracts workflows already automate the vast majority of all revenue recognition tasks, all amortization tasks, and inventory. Excel with the usage of macros and Powerquery already could do the vast majority of adhoc analysis with a few clicks.
Accounting is already in a state where it can be compared to piloting a plane or being a pharmacist, fields where autopilot and drug interaction databases perform like 95% of the work if not more. Think about it. What exactly does AI add here that traditional automation did not already do to this field? Which brings me to the second point.
2 - Human accountability
Ultimately our profession is largely automated. The reason we hire people and have them sign off on workflows, workpapers, audits, approve outlier journal entries, produce and review the support for said journal entries is because the accounting professional provides assurance and accountability. Someone needs to be responsible for the numbers, someone has to provide the quality check, and someone has to exist to point fingers at when things are wrong.
Machines in the short term future cannot and will not be held accountable for their decisions. The skeleton crew of humans who did accounting work likely will not meaningfully change.
3 - Long term knowledge
AI does not continually learn or keep context over a very long period. Your specific business that you work at has little quirks and little changes every month that add up over years. Why is the invoice from that one vendor intercompany allocated to a subsidiary in Malaysia? Why do we trawl the GL months after some transactions are made to see if project coding should be swapped out? At the warehouse, we noticed some spare parts exist, where are they on our GL? These are easy tasks for humans who keep business context indefinitely in their heads, but very hard for AI.
You could scale up context windows to billions or even trillions of tokens, but it's inherently lossy and scales up the cost to an obscene level. A very high context window (10s of millions of tokens) for say Claude Opus 5.5 costs 90+ USD a query. Without continual learning, its quite likely AI will need a copilot for context since scaling up tokens infinitely doesn't work.
4 - The real world
AI can't call up city clerks for you, it can't show up to city hall for you, it can't go to a warehouse or factory for real world inspections, it cannot open bank accounts on your behalf, it cannot observe business operations in person to see if controls are being met, it obviously cannot represent you in a tax court, it can't wine and dine clients for your firm... In the meat space, AI is inherently not embodied and cannot do a lot of the soft people work you don't even think about.
5 - ROI
This partially circles back to my first point. Companies don't have armies of accountants anymore, we have a handful of people in skeleton crews overseeing mostly automated reporting. Doing mostly standardized audits and tax filings.
Professional judgement on say technical IFRS and deeper financial analysis are a tiny subset of accountants who are at risk of displacement. The vast majority of accountants are doing meat proxy work for automation already. Most organizations don't get much ROI from cutting down on the few accountants they have remaining, this isn't a focus point for them. Developers are getting hit cause they cost 200k a year and tech companies hired armies of them.
Anyway I am not particularly worried in the short term that AI will take our jobs for these reasons. In the long term I am sure it will. Feel free to weigh in.