The shock is not in AI… but in the speed of change
Imagine an “employee” walking into the audit office who never sleeps, never takes leave and never asks for a salary, who can analyse millions of transactions within minutes and detect an abnormal pattern that an entire team might not have noticed over weeks. Would you still need the same number of accountants and auditors after that? This is where the real story of artificial intelligence in the accounting profession begins.
The transformation we are witnessing today is not merely the use of a new program or the automation of some tasks. We are facing a redefinition of what it means to be an accountant or an auditor in the first place. With the growing complexity of professional requirements, from financial reporting standards such as IFRS 17 to sustainability reports and risk analysis, the volume of data the accountant deals with has become too great to rely on manual work alone.
But the more important question is not: can AI do the accountant’s work? The real question is: what will remain of the accountant’s role when artificial intelligence can carry out a large part of the routine work?
What is artificial intelligence doing in auditing today?
Artificial intelligence is no longer a distant, futuristic idea. The major audit firms have already begun integrating it into audit, analysis and risk management processes. PwC has developed the Maestro platform, an audit environment natively powered by artificial intelligence (AI-native), which combines risk assessment, advanced analytics and anomaly detection, with a focus on keeping professional judgement at the heart of the process. The firm also stresses that the aim is to enable the auditor to focus on higher-value tasks and on exercising professional judgement.
At Deloitte, artificial intelligence and data analytics technologies are used in areas such as document analysis, risk assessment, the detection of anomalous cases and the automation of some repetitive tasks. The firm has also developed the Omnia platform, which now includes a network of artificial intelligence agents (Agentic AI) capable of carrying out preliminary procedures such as extracting data, drafting documents and assessing risks, alongside the DARTbot tool for professional research and for supporting auditors in accessing information and professional standards.
KPMG, for its part, integrates artificial intelligence and automation within the KPMG Clara platform through intelligent agents that support the continuous analysis of complete data and the detection of patterns, while stressing that the outputs of artificial intelligence do not replace the auditor’s professional judgement and are subject to human oversight.
The most notable things AI can do:
- Continuous auditing: instead of relying only on limited samples of transactions, modern analytical tools can handle huge data sets and detect abnormal cases more quickly.
- Fraud and anomaly detection: algorithms can search for unusual patterns and relationships that a human being may find difficult to detect amid millions of transactions.
- Risk analysis: AI can be used to help identify the areas, accounts and transactions that deserve greater attention from the audit team.
And this is where the fundamental change occurs: The auditor no longer has to spend most of their time searching for the problem; technology helps them pinpoint where the problem is likely to be, and then comes their role in understanding it, verifying it and forming a professional judgement.
Will AI take the accountant’s job? The truth is more complicated
The short answer: not necessarily. Artificial intelligence will take tasks from the accountant more than it will take the accountant’s role in its entirety. There is a big difference between the two.
The tasks most exposed to automation:
- Data entry.
- Matching invoices and transactions.
- Some routine reconciliation work.
- Extracting information from documents.
- Preparing some preliminary reports.
- Some repetitive review and verification work.
On the other hand, however, there are tasks that are hard to reduce to a mere algorithm:
- Interpreting results.
- Assessing risks.
- Professional judgement.
- Understanding the company’s context and environment.
- Dealing with exceptional cases.
- Communicating with management and stakeholders.
- Making the decision when the answer is not clear.
And this is where the character of the new accountant emerges. Their role will not be merely that of a “guardian of the numbers”; rather, it may turn into: data interpreter + risk expert + business adviser + smart user of technology. In other words, the accountant’s future value will not lie in the ability to do everything manually, but in the ability to know what to ask, how to interpret the answer, and when not to trust it.
The real challenge: what if AI is wrong?
It is easy to talk about the speed of AI and its ability to analyse huge quantities of data, but there is another side that is no less important: What happens when artificial intelligence gives a wrong result?
Artificial intelligence is not infallible. And the problem may be greater in accounting and auditing, because professional decisions are tied to money, shareholders, investors and regulators.
It is therefore not enough for us to have a smart tool. We also need:
- High data quality.
- Human oversight.
- Clear controls.
- Explainability of results.
- Protection of data and privacy.
- Clear assignment of responsibility.
- Continuing professional training.
This is the reason the audit firms themselves stress the importance of governance and professional judgement when using AI. Deloitte, for example, points to the importance of risk management, ethics and training, while KPMG stresses that the outputs of artificial intelligence require verification and professional judgement.
So the question is not only: can AI perform the task? But rather: can we use it in a way that can be trusted?
The challenge in Kuwait and the Gulf
If this transformation is global, the question that concerns us in the Gulf is: Are we ready for it? The challenge in Kuwait and the Gulf does not necessarily lie in the availability of the technology, but in the readiness of establishments to use it in the right way.
There are several challenges that companies may face:
First: data quality
Artificial intelligence needs good data. If the data is unorganised, incomplete or scattered across different systems, technology alone will not turn into a magic solution.
Second: resistance to change
Some establishments may look upon AI as a threat to employees instead of regarding it as a tool for raising productivity and changing the nature of work.
Third: cost and readiness
Implementing AI properly does not mean merely buying a tool; it requires technical infrastructure, information security, training, governance and integration with existing systems.
Fourth: responsibility and governance
If an AI system takes a wrong decision or flags a transaction as high-risk, who is responsible for the final decision? It is precisely here that governance and ethics will become an essential part of the work of the accountant and the auditor in the future.
Recent studies in the Gulf states indicate that most establishments are still at the stage of initial trials (Pilot Purgatory), having not yet moved from experimentation to wide-scale application accompanied by clear governance and a tangible return. The global trend itself is heading towards this kind of responsible use; the major firms in auditing do not treat AI as a substitute for the human being, but as a tool that needs controls, professional judgement and oversight.
How do you prepare? Four skills you must start developing today
If you are an accountant, an auditor or an accounting student, the most important question is not: “Will AI replace me?” But rather: “Will I be the person who knows how to use AI?”
1. Understanding data
You do not have to become a professional programmer, but it is important to understand how to handle and analyse data. Start with tools such as: SQL – Power BI – Python. The aim is not to turn into a data scientist, but to become an accountant who can understand data and use it to make a better decision.
2. Critical thinking
AI gives you a result. But you are the one responsible for the question: is this result logical? This may be one of the most important skills in the age of artificial intelligence. The strong accountant of the future will not be the person who trusts AI’s answer, but the person who knows when to doubt it.
3. Governance and ethics
Who is responsible when AI gets it wrong? How do we protect financial data? How do we ensure that sensitive information is not used improperly? And how do we document the decisions that AI contributed to making? These questions will become an essential part of professional practice, and not merely a technical topic.
4. Communicating and explaining results
Artificial intelligence gives figures and analyses, but the client, management or the audit committee needs a clear and convincing understanding. The ability to translate technical results into simple business language, and to explain risks and opportunities, has become an essential skill that distinguishes the accountant and the auditor in the age of AI.
Conclusion: the profession will not disappear… but it will change
In the end, the question “Will AI replace the accountant?” may be the wrong question from the outset. The more important question is: “What kind of accountant will the market need in five years’ time?” The value of the accountant of the future will not lie in the ability to enter data or match figures alone, but in the ability to understand data, interpret risks, ask the right questions and make the decision when the answer is not clear.
Artificial intelligence will not replace the accountant entirely, but it will redefine the accountant the market needs. And the harshest truth may be this: It is not artificial intelligence that will replace the accountant who does not use it; rather, the accountant who does use it may take their place. And whoever is slow to develop these skills will not find themselves replaced by artificial intelligence directly, but replaced by someone who uses it well.
The future is not: AI versus the human being. The future is: the human being + AI versus the human being who chose to work alone. That is why the best time for the accountant to begin evolving is not when some of today’s jobs disappear, but before they disappear.