How to train your staff for AI

Tailor made AI training

Skilling up for agentic- and generative AI is a challenge for every organization, and IT leaders tell us they are constantly seeking IT leadership strategies that support AI. This week we reported on four key goals to target when building AI skills.  

A popular article, it prompted readers of CIO.com to ask Smart Answers for advice on training and upskilling staff for an AI-led future. Fed by decades of insights from great IT leaders, Smart Answers’ advice is straightforward: tailor AI training by job role, focus on customer impact, and introduce an element of competition. There’s more to it than that, but for that you will have to ask our AI chatbot below… 

Find out: Why do companies tailor AI training by job role? 

How AI is changing developer jobs

Staying with AI and how new technology is impacting the skills and functions we bring to the workplace, this week InfoWorld reported on how to use genAI for requirements gathering and agile user stories. The developer audience keenly read and shared the article, wanting to know more about how generative AI is impacting the developer role. 

Smart Answers is at hand for just such scenarios. In this case parsing our human reportage to opine that genAI is indeed changing the role of the developer. It says that 72% of developers use genAI capabilities – 48% daily. Some claim that AI coding assistants have increased the number of completed tasks by 26%, and that by 2028 75% of developers will use genAI tools like vibe coding. We shall see. 

Find out: How is genAI redefining the software developer role now? 

The risks of letting AI refactor code

But we still need humans, right? It certainly seems that way. In this InfoWorld article we suggested three code refactorings every developer needs.  All human operated, we’ll point out.  

You can, of course, have AI refactor code. To an extent developers probably should. But there are risks, and when InfoWorld readers asked Smart Answers for those risks, our AI-powered chatbot was only too happy to oblige.  

Find out: What are potential risks of AI-powered code refactoring? 

About Smart Answers 

Smart Answers is an AI-based chatbot tool designed to help you discover content, answer questions, and go deep on the topics that matter to you. Each week we send you the three most popular questions asked by our readers, and the answers Smart Answers provides.  

Developed in partnership with Miso.ai, Smart Answers draws only on editorial content from our network of trusted media brands—CIO, Computerworld, CSO, InfoWorld, and Network World—and was trained on questions that a savvy enterprise IT audience would ask. The result is a fast, efficient way for you to get more value from our content.