Future-Proofing Talent: Upskilling Strategies for the AI Era

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Written by Tristia Hennessey

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As artificial intelligence rapidly reshapes the workforce, organizations face increasing pressure to future-proof their talent management strategies. AI isn't just automating tasks; it’s redefining job roles, skillsets, and the fundamental way work is accomplished. To build AI-proof careers, companies must prioritize AI upskilling initiatives that empower employees to adapt and thrive.

In a recent Learning and Development webinar, the dynamic impact of AI on workplace competencies, including the benefits of AI in recruitment, talent assessment, and workforce planning, and how learning and development teams can lead the way in this transformation, were explored.

This blog unpacks the key takeaways and practical strategies from that session to help you align your talent development with the evolving demands and AI future predictions shaping the modern workplace.

Evolving Skill Priorities: What's In and What's Out

1. AI Is Here And It's Changing Everything

The rise of generative and agentic AI is no longer a theoretical trend; it’s an active force impacting how work is done across industries. While some workers report dramatic shifts in how they operate, others have only seen modest changes. A poll from the webinar revealed:

This paints a picture of an evolving workplace where AI isn’t replacing roles outright, but instead reshaping them in nuanced ways.

2. What’s Changing: Skills, Not Just Jobs

Research cited during the webinar, including data from the World Economic Forum, points to a major transformation in core job skills. One-third of all core skills are expected to change. And in many sectors, that change has already begun.

Key shifts include:

  • Automation of routine tasks like data entry, basic email responses, and scheduling.
  • Increased demand for higher-order skills such as critical thinking, adaptability, and digital literacy.
  • Transition to hybrid roles, where workers manage and collaborate with AI tools.

One powerful example included companies like Shopify and Fiverr, where hiring is now contingent on proving a task cannot be completed by AI. This marks a seismic shift from augmentation to replacement in some functions.

3. The Rise of Agentic AI

Unlike generative AI, which executes single tasks like creating images or writing text, agentic AI acts more like a person. It can:

  • Complete multi-step processes
  • Interact with multiple software tools
  • Make decisions and adapt in real time

Imagine an AI agent that not only sends onboarding reminders but also tailors learning paths and schedules follow-ups based on performance completely autonomously. This capability is no longer science fiction. Tools like Perplexity are already pushing the boundaries of what AI agents can do.

4. Evolving Skill Priorities: What's In and What's Out

Webinar participants engaged in an activity to identify which skills are becoming less relevant and which are gaining traction. Here’s a summary:

Losing Relevance:

  • Data entry
  • Voiceover recording
  • Manual email responses
  • Spelling and grammar (due to AI writing assistants)

Gaining Importance:

  • Critical thinking and skepticism
  • Prompt engineering
  • Change management
  • Digital and AI literacy
  • Soft skills (like empathy, communication, and leadership)

The takeaway? While automation can handle repetitive tasks, human-centric skills are now at a premium.

5. The Learning and Development (L&D) Imperative

AI isn't just a technology challenge; it's a learning opportunity. Yet many organizations are not adapting their L&D strategies to match the pace of change. Training needs to move beyond static courses and compliance modules to become:

  • Dynamic and role-based
  • Embedded into the flow of work
  • Connected to measurable business outcomes

According to the speaker, many businesses still do not measure the impact of training. Without metrics, it's impossible to prove value or make the case for upskilling investments.

6. Strategic Upskilling Framework

So, how do you upskill your workforce to thrive in the AI era? The webinar outlined a practical approach centered around five key actions:

A. Identify Where AI Will Change Roles

Pinpoint 2–3 departments where automation or augmentation is most likely. Use interviews, job shadowing, or AI readiness assessments to detect at-risk tasks.

B. Partner with Business Leaders

Collaborate with department heads and executives to define what “future-ready” looks like. Align L&D initiatives with business goals, not just generic training.

C. Build Role-Based Learning Paths

Avoid overwhelming employees with broad content. Focus on just-in-time, just-enough learning tailored to specific roles and responsibilities.

D. Introduce AI into Your Work

L&D professionals should “walk the walk” by using AI tools in their processes. Examples include:

  • Summarizing meetings with Fireflies
  • Creating storyboards or scripts with AI
  • Automating course tagging and metadata

E. Track Impact, Not Just Completions

Choose one program. Define a measurable outcome, e.g., faster onboarding, improved customer satisfaction, and track it with data, not just completion rates.

7. The Human Side of AI

While many fear AI will replace them, the more likely scenario is that workers who use AI effectively will replace those who don’t. It’s not about competing with AI, it’s about working with it.

That means:

  • Developing digital confidence
  • Understanding the limitations and risks of AI
  • Avoiding blind trust in AI-generated content
  • Being open to continuous learning

As AI becomes more prevalent, the ability to discern, interpret, and act with nuance becomes even more vital.

8. Next Steps: What You Can Do Today

If you’re in L&D or talent development, here’s what you can do right now:

  • Break down silos: Start conversations with IT, HR, operations, and leadership teams.
  • Use skill data: Identify what skills are measured and which should be.
  • Define success: Set KPIs for your learning initiatives.
  • Start small: Choose one area to apply AI-supported upskilling.
Build your AI fluency: Experiment with tools that can streamline your work.

Certified Performance & Competency Developer

The Certified Performance & Competency Developer (CPCD) certification by GSDC equips L&D and HR professionals with the skills to design, implement, and manage competency frameworks that drive measurable performance improvement. 

This aligns perfectly with the blog’s focus on future-proofing talent in the AI era by helping organizations identify evolving skill gaps, map role-based learning paths, and track upskilling impact in real time. 

As AI transforms core job skills and demands agile, role-specific development, the CPCD certification empowers you to become a strategic partner in building an AI-ready, high-performance workforce.

Final Thoughts

AI is not just changing how we work; it’s changing how we learn, how we lead, and how we grow as organizations. The pace of change can be intimidating, but it also creates space for innovation and reinvention. By understanding what is future-proofing, leaders can take proactive steps to build AI-proof careers and create learning pathways that align with AI future predictions.

By taking proactive steps today, you can ensure your workforce isn’t left behind. Instead, you can lead the charge in building a future-ready, AI-empowered organization.

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Jane Doe

Tristia Hennessey

Evolve solution group Senior Instructional Design Strategist

Tristia Hennessey is a Senior Instructional Design Strategist with 9+ years in training media and 6+ years in project management. She leads teams of 2–15 to deliver corporate training for audiences of up to 80,000+. Tristia is a 6-time award-winning eLearning designer, including a 2023 Hermes Gold Award. She’s also the co-founder and host of the XRinLXD Monthly Meetup.

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