Survey reveals generative AI development challenges; IBM proposes solutions 

A new survey conducted by IBM and Morning Consult reveals the complexities faced by developers in the rapidly growing generative AI space. While enterprises are pushing to adopt AI technologies, many developers are grappling with skill gaps, fragmented toolsets, and a lack of standardised frameworks for building these applications. 

The survey, which interviewed over 1,000 enterprise AI developers, found significant disparities in skill levels, with application developers often lacking expertise in generative AI. Only 24% of application developers consider themselves experts in the field, highlighting a skills gap that is challenging AI adoption. Furthermore, developers are frustrated with the tools available, with essential qualities such as performance, flexibility, ease of use, and integration being in short supply.

A majority of developers reported using between five and 15 tools to build AI applications, contributing to the complexity of the development stack. This issue is expected to grow as the industry moves toward more autonomous AI systems. Trustworthiness and integration concerns are among the top issues reported by developers when working with AI agents.

In response, IBM emphasises the importance of simplifying the AI stack and development lifecycle. The company has introduced solutions like IBM Watsonx.ai, which offers a comprehensive suite of tools and frameworks to streamline AI application development. Additionally, IBM Watsonx Code Assistant, an AI-powered coding tool, has proven to significantly boost developer productivity, with many reporting time savings of up to three hours per day. 

The survey underscores the need for developers to have access to user-friendly, transparent, and integrated tools to harness the full potential of generative AI, which could ultimately deliver greater efficiencies for enterprises.