Our comments:
Financial Analyst
Significant Impact of AI on the Job
40%
level of automation
0%
100%
This section reviews the 3 main tasks associated with the job studied and assesses the potential level of automation induced by AI ('AI Automation Impact').
The modeling uses 8 criteria detailed on the 'Methodology' page.
The modeling uses 8 criteria detailed on the 'Methodology' page.
| Tasks | AI Automation Impact |
|---|---|
| Analyze the financial Healthcare of companies, particularly by studying their balance sheets, income statements, and cash flows. | High |
| Provide buy, sell, or hold recommendations for stocks or other financial securities. | Significant |
| Write detailed reports to inform clients or portfolio managers. | Moderate |
Through our research, we have identified two pivotal categories of skills that will be impacted by AI-driven automation :
- 'At-risk skills,' which are likely to become obsolete due to their susceptibility to automation
- 'Future-proof skills', which are projected to retain their value and resist automation, thereby ensuring their relevance in the forthcoming job market.
| At-risk Skills | |
|---|---|
| Perform documentary monitoring (collection, analysis, etc.) | Automation and advanced monitoring tools make information collection easier and less reliant on human intervention. |
| Control the processing of credit requests | Automated systems powered by AI can handle standard credit requests and even some preliminary analysis. |
| Future-proof Skills | |
|---|---|
| Develop tools for assessing the company's fragility and sensitivity. | This requires a deep understanding of business nuances and strategic analysis that automation cannot fully replicate yet. |
| Analyze and manage financial risks. | While automation can assist in initial analysis, the final decision-making, especially in complex situations, requires human expertise. |
How does AI impact this job type ?
Get the full analysis
AI tools are changing the game for Financial Analysts by taking care of the heavy lifting when it comes to collecting data and doing some basic number crunching. But when it gets down to making sense of complex financial patterns and making big decisions, that’s where human analysts still shine.
While computers can manage the initial stages of sifting through data, it’s the people who bring the critical thinking and strategic smarts that are crucial in making the final call on financial moves. So, while AI helps with the routine tasks, the nuanced and strategic parts of financial analysis are still very much in the hands of the experts