Our comments:
Banking and Insurance Broker
Significant Impact of AI on the Job
46.67%
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 clients' financial or insurance needs | Significant |
| Compare and propose the best offers available on the market | High |
| Negotiate with institutions to obtain the best conditions for the client | Significant |
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 | |
|---|---|
| Traditional Risk Assessment | Automated platforms could make this task more efficient and faster, reducing the need for in-depth manual analysis. |
| Telemarketing | With greater online accessibility and automation of sales processes, sales approaches must evolve to engage prospects more effectively. |
| Future-proof Skills | |
|---|---|
| Client Advisory on Risks, Prevention, and 360° Assessment | While AI and algorithms can process data and make predictions, the ability to interpret this information and provide relevant advice based on a trusted client relationship will remain a valuable skill. |
| Mastery and Versatility of Digital Tools | The ability of a broker to master not only traditional processes but also new digital tools and methodologies will be essential. This skill encompasses both legal aspects, client advisory, and navigating the digital landscape. |
How does AI impact this job type ?
Get the full analysis
In the context of negotiations with financial institutions, the expertise and interpersonal skills of a broker are irreplaceable.
However, the profession of banking and insurance broker can greatly benefit from the integration of AI-based tools. Analyzing the financial and insurance needs of clients could be facilitated through advanced recommendation systems. AI can also help filter and quickly compare available offers in the market, enabling more efficient proposals. Furthermore, negotiation processes with stakeholders can be optimized through the development of algorithms that provide real-time data and market trends.
Thus, while maintaining the importance of human contact, AI offers a significant opportunity for optimization for brokers.