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Reskilling for AI in the Middle of Your Career

October 2025
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Session Resources

Summary

Reskilling for AI in the middle of your career is essential for staying relevant in today's rapidly evolving job market. This session is designed for mid-career professionals looking to integrate AI into their skillset.

AI skills are becoming essential across various professions, much like Excel in the 1990s. The session explored how AI can enhance existing skills, the importance of adaptability, and the potential career benefits of AI proficiency. It also highlighted the need for organizations to support AI learning and the challenges of integrating AI into legacy systems. The discussion included practical advice on building AI portfolios, leveraging existing skills, and finding time to learn amidst busy schedules.

Key Takeaways:

  • AI skills are becoming a baseline expectation across professions.
  • AI can automate repetitive tasks, allowing more time for strategic work.
  • Mid-career professionals can utilize their domain expertise to integrate AI.
  • Organizations should focus on pathways, not just courses, for AI training.
  • Building an AI portfolio involves showcasing practical applications of AI in your work.

In-Depth Analysis

AI Skills as a Baseline Expectation

AI skills are increasingly seen as essential across various professions, akin to the role of Excel in the 1990s. For mid-career professionals, demonstrating the ability to work with AI signals adaptability and a forward-thinking mindset. As Norah Abokhodair noted, "AI skills today are what Excel was in the nineties." This shif ...
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t means that professionals must integrate AI into their existing skill sets to remain competitive. AI can automate mundane tasks, freeing up time for more strategic and creative work, ultimately enhancing career progression.

Utilizing Existing Skills

Mid-career professionals have the advantage of domain expertise, which can be used to integrate AI effectively. As Nazia Tasleem emphasized, "You already have domain experience, process knowledge, and intuition." This experience allows professionals to frame problems accurately, discern signal from noise, and apply critical judgment to AI outputs. By combining existing knowledge with AI tools, professionals can enhance their productivity and decision-making capabilities, making them invaluable assets to their organizations.

Building an AI Portfolio

Creating an AI portfolio involves demonstrating practical applications of AI in your work. Nazia Tasleem suggested, "Make a list of all your deliverables, identify what is routine, and use AI to handle those tasks." This approach not only showcases your ability to integrate AI but also highlights your strategic thinking and problem-solving skills. Documenting these applications provides tangible evidence of your AI proficiency, which can be vital during performance reviews or job applications.

Organizational Support for AI Learning

Organizations play a vital role in facilitating AI learning. As Nazira pointed out, "AI adoption is a marathon, not a sprint." Companies should focus on creating pathways for learning rather than offering isolated courses. This involves aligning training with strategic goals and ensuring that employees have the resources and support needed to integrate AI into their roles. By encouraging a culture of continuous learning and adaptation, organizations can ensure that their workforce remains competitive in an AI-driven world.


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