A recent study conducted by Benchsci, a leading AI-driven drug discovery platform, has revealed that job security and flexibility are the most important factors for Artificial intelligence (AI) experts when searching for a job. The study found that exciting perks are no longer the top priority for job seekers in the field of AI, data, and technology.
The research, which was conducted by the most popular tech groups at Benchsci, revealed that companies seeking to employ the best candidates must offer unique benefits to attract top talent. However, the study also highlighted that job security and flexibility are specifically important to experts in the field.
Furthermore, the study found that paying large amounts as a salary is no longer an effective way to attract brilliant talent. Instead, companies need to focus on providing a stable and flexible work environment to retain the best employees.
Vanessa Ribreau, Chief People Officer at Benchsci, noted that the competition for tech talent continues to rise, despite the unstable global economy. Ribreau emphasized that companies need to adapt to the changing job market and prioritize the needs and preferences of their employees to stay competitive.
Overall, the study underscores the changing priorities of AI experts and the importance of job security and flexibility in the modern job market. Companies that can provide a stable and flexible work environment are more likely to attract and retain top talent in the field.
The top 5 things that talent look out for in jobs are:
- Flexibility
- Opportunity for advancement
- Salary
- Job security
- Difficulties in the job
Change in employees’ needs
AI experts care less about the company’s performance in the world or if the company complies with environmental standards and practices. Employers, however, consider this area very important.
Ribeau added that talents willingly invest their labour, strength and time for a company if they receive a reward commensurate with their investment. Companies ought to c consider their employees as significant stakeholders and not just devices to achieve organizational goals.
A survey was carried out to assess stability, and it showed that most respondents look out for how an employer plans to maintain a wide profit margin and long-term growth.
Elizabeth Hanson, the Director of Data Delivery and Engineering at BenchSci, mentioned that there are rumours of employees being irresponsible because of economic decline and the pandemic. Nonetheless, statistics show that the AI workforce still considers long-term development.
According to her, engineers are particularly searching for companies to invest their labour, knowledge, time and energy in exchange for developmental and financial growth. Companies that can satisfy these needs can attract and keep the best talents.
“Despite widespread murmurings of employees being flighty, perhaps as a result of the pandemic and the current recessionary environment, the data firmly shows that the AI workforce is still thinking long-term.”
-Elizabeth Hanso, Director of Data Delivery and Engineering at BenchSci
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