In 2023, the software industry stands on the cusp of a transformation, driven by the advancements in artificial intelligence (AI). Nearly two-thirds of software engineers predict productivity gains of 20% or more, thanks to AI integration, particularly with coding assistants.

A significant hurdle, however, is the shortage of technical skills necessary to harness AI’s full potential, as noted by 39% of software companies. This shortage underscores the urgent need for upskilling talent to maintain a competitive edge.

AI-Powered Shifts in Engineering and Sales

AI is poised to reshape key functions within the software sector, particularly engineering and go-to-market (GTM) strategies. Engineers anticipate AI to enhance various aspects of software development, from code comprehension to user story building. To leverage AI effectively, companies must integrate or develop large language models (LLMs), necessitating new skill sets like AI language model training and data engineering.

This evolution in skill requirements suggests a significant shift in the talent mix, with a growing demand for AI and machine learning expertise. Upskilling the current workforce becomes crucial as companies navigate these changes.

The Automated Future of Sales and Marketing

Generative AI is also set to automate significant portions of the sales and marketing processes, especially in DTH sales and support activities. The impact will vary across business segments, with a notable potential for automation in repetitive enterprise business sales. However, more complex sales in larger businesses may see less automation. Over half of GTM executives believe that generative AI could lead to more self-service models, reducing reliance on traditional, manual sales efforts.

Strategic Implications for Senior Leaders

The rapid adoption of generative AI is altering the competitive landscape, urging senior leaders to act swiftly to comprehend its strategic implications. Key decisions on resource allocation across security, data platforms, and experimentation teams are vital. Companies will need to invest in talent acquisition and development significantly, hiring new engineers with requisite AI skills and enhancing the capabilities of existing employees. Some will learn, others won’t – any hesitancy to cut staff in this environment will further undermine competitive advantage.

Preparing for the AI-Driven Future

As generative AI reshapes business models, finding, training, and retaining skilled personnel is crucial. Executives must navigate this new landscape, balancing investments between customer-facing applications and internal productivity improvements. Early and strategic actions in adapting to generative AI will be essential for firms to thrive in this rapidly evolving domain.

At CyberEd.io, we have some very talented experts like Sam Curry and Chuck Brooks with Master Classes on Generative AI. These are being enhanced by coursework specific to the issues around how all employees can make use of the technology in the course of their day-to-day business. Sales is a classic that benefits significantly from embedding AI in the process and motions.

My old boss at Memorex had a plaque on his desk that read “Adapt, migrate or perish.” Used to see it every day.