会计师和审计师
人们还浏览了
计算自动化风险
高风险（61-80%）：这个类别的工作面临着来自自动化的重大威胁，因为他们的许多任务可以使用当前或近期的技术轻松自动化。
有关这个分数是什么以及如何计算的更多信息可在这里找到。
用户投票
我们的访客投票表示，他们不确定这个职业是否会被自动化。 然而，我们生成的自动化风险等级表明自动化的可能性要高得多：有69%的机会会被自动化。
你认为自动化的风险是什么？
会计师和审计师在未来20年内被机器人或人工智能取代的可能性有多大？
情感
以下图表在有大量投票数据时会显示。这些可视化图表展示了用户投票结果随时间的变化，提供了情感趋势的重要指示。
随着时间的推移的情绪（季度）
随着时间（每年）的情绪变化
增长
预计"Accountants and Auditors"的工作空缺数量将在2033内增长5.8%
总就业人数和预计的职位空缺
更新的预测将在09-2024到期.
工资
在2023，'Accountants and Auditors'的年度中位数工资为$79,880，或每小时$38。
'Accountants and Auditors'的薪资比全国中位工资高66.2%，全国中位工资为$48,060。
随着时间推移的工资
体积
截至2023，在美国有1,435,770人被雇佣为'Accountants and Auditors'。
这代表了全国就业劳动力的大约0.9%
换句话说，大约每105人中就有1人被雇佣为“Accountants and Auditors”。
工作描述
检查、分析并解读会计记录以准备财务报表，提供建议，或审计和评估他人准备的报表。安装或建议有关记录成本或其他财务和预算数据的系统。
SOC Code: 13-2011.00
资源
如果您正在考虑开始新的职业生涯，或者想要换工作，我们已经为您创建了一个方便的工作搜索工具，它可能会帮助您找到那个完美的新角色。
评论
Leave a comment
- 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.
关于这个职业请留下您的评论