회계사와 감사원
사람들이 또한 조회했습니다
계산된 자동화 위험
고위험 (61-80%): 이 범주에 속하는 직업은 현재 또는 가까운 미래의 기술을 사용하여 쉽게 자동화될 수 있는 많은 업무를 수행하므로 자동화로부터 중대한 위협을 받고 있습니다.
이 점수가 무엇인지, 그리고 어떻게 계산되는지에 대한 자세한 정보는 여기에 있습니다.
사용자 설문조사
우리의 방문자들은 이 직업이 자동화 될 가능성이 높다고 투표했습니다. 이 평가는 계산된 자동화 위험 수준에 의해 더욱 지지받고 있으며, 이는 자동화의 69% 확률을 추정합니다.
자동화의 위험성에 대해 어떻게 생각하십니까?
회계사와 감사원이 다음 20년 이내에 로봇이나 인공지능에 의해 대체될 가능성은 얼마나 됩니까?
감정
다음 그래프는 의미 있는 데이터를 제공할 수 있을 만큼 충분한 투표 수가 있을 때마다 포함됩니다. 이러한 시각적 표현은 시간 경과에 따른 사용자 투표 결과를 보여주며, 감정 추세에 대한 중요한 지표를 제공합니다.
시간에 따른 감정 (분기별)
시간별 감정 (연간)
성장
'Accountants and Auditors' 직업 분야의 공석은 2033년까지 5.8% 증가할 것으로 예상됩니다.
총 고용량 및 예상 직업 공석
업데이트된 예상치가 09-2024에 제출될 예정입니다..
임금
2023년에 'Accountants and Auditors'의 중앙값 연간 급여는 $79,880이며, 시간당 $38입니다.
'Accountants and Auditors'은 전국 중위임금인 $48,060보다 66.2% 더 높은 금액을 지불받았습니다.
시간에 따른 임금
볼륨
2023년 현재, 미국 내에서 'Accountants and Auditors'로 고용된 사람들의 수는 1,435,770명이었습니다.
이는 전국의 고용 노동력 중 약 0.9%를 대표합니다.
다시 말해, 약 105명 중 1명이 'Accountants and Auditors'로 고용되어 있습니다.
직무 설명
회계 기록을 검토, 분석, 해석하여 재무제표를 작성하고, 조언을 제공하거나, 다른 사람이 작성한 제표를 감사하고 평가합니다. 비용 또는 기타 재무 및 예산 데이터를 기록하는 시스템을 설치하거나 조언합니다.
SOC Code: 13-2011.00
자원
새로운 커리어를 시작하려고 생각하거나 직장을 바꾸려는 계획이 있다면, 우리가 만든 편리한 채용 검색 도구를 사용해보세요. 이 도구를 통해 완벽한 새로운 역할을 찾을 수 있을지도 모릅니다.
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- my advice to current accountant or students of accounting : don't worry about the future.
- my advice for future of potential students of accounting : do not chose this field if you have the choice because it will be saturated and the demand will decrease.
it is difficult fot robbot to replace humans in preparing accounts,preparing an income statement,and solving proplems because it requires logical thinking,unlike what is found in a robot,as it is programmed and trained to execute commands
• Developing test strategies for AI-based accounting and financial systems
• Designing and overseeing the execution of test cases for AI-based accounting and financial systems
• Understanding the specific requirements for testing AI-based accounting and financial systems
To effectively perform these tasks, accountants and auditors must acquire new skills in analyzing algorithms and models from an accounting standpoint. This will enable them to establish and evaluate new controls for AI-generated financial data and ensure ongoing compliance with these controls.
While accountants and auditors are already skilled in managing the collection, cleaning, and validation of test data, they currently face challenges in performance and security testing. However, with the assistance of AI and further education, they will become adept at continuously verifying the accuracy of AI-based accounting and financial systems in real-time environments.
As a result, accountants and auditors will be increasingly relied upon to seamlessly integrate AI-based accounting and financial systems with real-time environments. They will need to continuously monitor and audit AI-generated financial data, ensuring error-free performance, and validating security measures to safeguard the system against cyber-attacks
Similarly, in fields like law, people are reluctant to trust machines to draft legal documents or represent them in court because of the financial stakes involved. There's a fear that mistakes could be costly. Additionally, companies are wary of outsourcing these tasks offshore due to concerns about the security of their financial data.
In essence, the reluctance to automate accounting and legal processes stems from the inherent risks and the sensitivity of financial transactions, as well as concerns about maintaining control and data security.
In order to offer the most valuable and timely advice on any AI system used in finance, both accountants and auditors will need to consistently monitor the inputs and outputs of the installed software. To do this, they will have to explore innovative methods to establish new controls for AI-generated financial data. They will be responsible for developing new systems to assess the efficacy of these controls, in addition to being the ones tasked with consistently ensuring compliance with these new controls.
Unlike other professions, Accounting and Auditing require specialized skills that most individuals in an organization lack without rigorous training. The level of training needed to certify Accounting AI outputs is comparable to becoming an accountant. Given accountants' proficiency in analyzing financial records, they are the most qualified to verify the accuracy and reliability of AI-generated financial data. Neglecting monitoring by accountants and auditors will expose companies to increased scrutiny from investors and regulators.
As the digital landscape expands and virtual transactions become increasingly prevalent, companies will need to expand their hiring of Accountants and Auditors to ensure that every transaction processed by their AI Accounting software meets set performance standards. Accountants will play a growing role in setting up, adhering to, and evaluating controls for auditing AI-generated data. The responsibilities of Accountants and Auditors will include conducting thorough assessments to verify the integrity of operations and reports within these organizations.
While accountants are already required to complete continuous education requirements annually, their curriculums will now need to be updated to place a greater emphasis on the management of AI and quality assurance processes to ensure that these systems are performing at a level that meets International Accounting Standards.
Without accountants' oversight, AI-generated results cannot be reliably verified for accuracy, completeness, reliability, and relevance. With the increasing volume of financial data, the demand for accountants will rise to validate datasets used by AI models for decision-making. Furthermore, there will be an increased need for accountants to evaluate the reliability of outputs produced by AI models.
Our society cannot rely solely on the elites' technologies to determine whether they are paying their fair share of taxes. The government will always have to pursue the wealthy to ensure they pay their fair share of taxes, while individuals will always seek legal ways to avoid paying taxes. Advanced technologies such as blockchain and artificial intelligence will enable individuals to find more innovative ways to evade taxes, making it difficult for authorities to prosecute those who are guilty of tax evasion.
For this reason, accountants and auditors will always be required to verify whether the technologies that are being used to evaluate whether individuals and entities are tax compliant are accurate.
Society cannot solely rely on Big Tech to evaluate financial statements, as they have proven themselves to be untrustworthy in many situations. For example, numerous antitrust investigations have been launched against them, revealing unscrupulous behavior. It is questionable whether society would be willing to place all their confidence in the hands of a few Tech billionaires, who will be willing to prioritize their political, corporate, and financial interests over society's well-being.
In conclusion, relying solely on Tech Billionaires and other elites to pay their fair share of taxes and evaluate financial statements poses significant perils. It is crucial to have independent human auditors to ensure accuracy and reliability and prevent conflicts of interest that may arise if the elites desire to further enrich themselves at society's expense.
2. The AI everyone is familiar with right now will get worse over time as they pull bad information, and produce more bad information, which becomes a self-reinforcing cycle. Lazy people producing bad articles by using lazy methods (AI) to write for them, will put out more bad information for the ChatGPT's to train on, making the next most likely word the system pulls up the bad information rather than the good. Frankly, it seems more likely that these systems were as good as they'd ever be before people started abusing them. These companies aren't going to pay experts to identify between good and bad medical or legal information. They're not going to pay to identify good and bad accounting either.
Sorry, future enthusiast tech bros.
Automation is increasing in data entry end of accounting while there are softwares that can generate & process audit trails. Moreover there are several CAATs that can perform audit to large extent.
All one will need in future a person-in-charge for managing the automated accounting process & a small team for auditing the same.
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