Published on December 1, 2023, 8:23 am

Generative AI is quickly becoming a crucial tool for technology executives as they navigate the ever-evolving landscape of digital transformation. However, there are certain challenges that need to be addressed in order to fully leverage the power of AI.

One major obstacle that companies face is the shortage of skilled workers in the field of engineering and data analytics. While most providers offer AI capabilities in their products, finding employees who can effectively implement and utilize these solutions remains a challenge. To attract top talent, CIOs should consider two important steps: enabling remote work and allowing researchers the freedom to publish their findings.

Offering remote work options is especially appealing to potential hires, as it provides flexibility and a better work-life balance. In fact, many employees prefer the ability to work remotely over being required to come into an office. According to Mike Loukides, VP of content strategy at O’Reilly Media, remote work is a major plus when it comes to hiring talent for AI-related roles.

Another barrier to widespread AI adoption is the difficulty in identifying appropriate business use cases for the technology. Over 20% of respondents who use AI in their companies cited this as the primary challenge they face. Additionally, 13% mentioned the struggle of finding enough skilled workers as an obstacle.

While companies are slowly advancing in terms of AI adoption, optimizing operations through large-scale implementation still remains elusive for many. To attract top-flight AI experts, companies should also create an environment where these professionals can freely discuss and share their work. Corporate secrecy tends to deter talent from joining organizations that limit transparency.

The demand for AI experts has led to an increase in wages for these roles. Data from Comprehensive.io shows that the average salary for an AI engineer rose by 12% quarter-over-quarter. On average, AI engineers earn a 21% salary premium compared to non-AI software engineers, with an average salary reaching $188,000.

In conclusion, leveraging generative AI is becoming a requirement for technology executives, but it comes with its own set of challenges. Addressing the shortage of skilled workers, identifying appropriate business use cases, and fostering an environment that encourages transparency are key factors in driving successful AI adoption. By understanding and overcoming these obstacles, companies can make strides in harnessing the full potential of generative AI.

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