רואי חשבון ובוחני חשבון
רוצים את הסיכום הזה באתר שלכם? הטמיעו את הקוד:
סיכון אוטומציה
סיכון גבוה (61-80%): משרות בקטגוריה זו נמצאות תחת איום משמעותי מאוטומציה, שכן רבים מהמשימות שלהם ניתנות לאוטומציה קלה באמצעות טכנולוגיות נוכחיות או קרובות לעתיד.
מידע נוסף על מהו הניקוד הזה, ואיך מחשבים אותו זמין כאן.
סקר משתמשים
המבקרים שלנו הצביעו שסביר שמקצוע זה יאוטומט. הערכה זו מקבלת תמיכה נוספת מהמפתח של סיכון האוטומציה שנחשב, שמעריך 71% סיכוי לאוטומציה.
מה לדעתך הסיכון של אוטומציה?
מה הסיכוי שרואי חשבון ובוחני חשבון יוחלף על ידי רובוטים או אינטיליגנציה מלאכותית במהלך ה-20 השנים הבאות?
רגש
הגרף (או הגרפים) הבא מופיע בכל מקום שבו יש כמות משמעותית של הצבעות שמאפשרת יצירת נתונים משמעותיים. הייצוגים החזותיים הללו מציגים את תוצאות הסקרים של המשתמשים לאורך זמן, מספקים אינדיקציה משמעותית למגמות הרגשות.
רגשות לאורך זמן (רבעוני)
רגשות לאורך זמן (שנתי)
צמיחה
מספר המשרות הפנויות בתחום 'Accountants and Auditors' צפוי לעלות 5.6% עד 2032
תעסוקה כוללת, ומשרות פנויות משוערות
עדכונים לתחזיות משוערות צפויים להתבצע 09-2023.
שכר
ב-2022, השכר השנתי החציוני עבור 'Accountants and Auditors' היה $ 78,000, או $ 37 לשעה
'Accountants and Auditors' קיבלו שכר שהיה גבוה 68.4% מאשר השכר החציוני הלאומי, שעמד על $ 46,310
שכר לאורך זמן
נפח
נכון ל-2022 היו 1,402,420 אנשים שעסקו כ'Accountants and Auditors' בארצות הברית.
זה מייצג בערך 0.9% מהכוח העובד ברחבי המדינה
במילים אחרות, כאחד מ-105 אנשים מועסקים כ'Accountants and Auditors'.
תיאור המשרה
בחן, נתח ופרש רישומי חשבונאות כדי להכין דוחות כספיים, לתת עצה, או לבדוק ולהעריך הצהרות שהוכנו על ידי אחרים. התקן או תן עצה בנוגע למערכות של רישום עלויות או נתונים כספיים ותקציביים אחרים.
SOC Code: 13-2011.00
משאבים
Can ChatGPT pass an accounting interview?
Here's a video from Certified Accountant Kostadin Ristovski on Chat GPT and accounting, where he asks it questions which an accountant should know the answer to, he's not impressed!
אם אתה חושב להתחיל קריירה חדשה, או מחפש לשנות משרות, יצרנו כלי חיפוש עבודה נוח שיכול לעזור לך למצוא את התפקיד החדש המושלם.
תגובות
השאר תגובה
• 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.
Therefore, it’s unlikely. Maybe if a huge global catastrophe happen then it may force this change among all countries.
The tax code is a series of if-then-else statements. Some of these are complicated but at their base, that's all they are. Computers excel at evaluating these and AI/ML are good at applying decision tree models to situations like these.
Tax accountants will counter saying that automating the tax code will free them up to better serve their clients. However, most accountants aren't trained to do that and couldn't sell air to a drowning person. They will be replaced by intelligent sales support systems and professional sales people.
השאירו תגובה לגבי מקצוע זה