17 Career advancement
This chapter covers
- Leading AI adoption in organizations
- Showcasing AI projects and accomplishments
- AI-assisted skill development and certification
- Using AI for job search and negotiation
- Ethical considerations in AI career advancement
Welcome to the last chapter of the book! In the past 16 chapters, we’ve explored how AI tools can help with everything from coding to documentation. Now it’s time to look at what this means for your career.
Throughout our years in IT, we’ve seen how certain skills consistently lead to success: writing clear documentation that others can actually use, solving problems before they affect users, finding ways to improve processes instead of just maintaining them, and working well with teams even during stressful projects. Whether you’re automating deployments or handling a system outage at 3 a.m., these skills make the difference between good IT work and great IT work.
We’ll focus on two practical ways to grow professionally:
- Using AI tools to work more effectively in your current role
- Building specialized AI expertise as these technologies become increasingly important in IT
Let’s explore specific strategies to achieve both goals.