Your Organization's 90-Day AI Upskilling Action Plan

New AI jobs

The introduction of 22 new jobs created by AI imagined by the New York Times


The New York Times' recent article on 22 new AI jobs gave us a look at what AI jobs for non-technical teams can look like. As with so much in AI, we can debate about when and where those new AI roles will emerge. But while others debate, smart organizations can make progress towards building the AI fluency skills in their workforce so they’re prepared for AI’s impact.

The question isn't whether AI will reshape your workforce—it's whether you'll be ready when it does.

The AI Readiness Gap (And Why It's Your Competitive Advantage)

In my work with companies and growing organizations, I've identified a critical gap: the majority of organizations are experimenting with AI tools, but few have systematic plans for developing AI fluency in their workforce.

This gap represents your opportunity. While competitors wait focus solely on technical teams to develop talent or scramble to hire scarce external AI talent, you can build AI fluency skills internally among your non-technical teams. Building AI skills on non-technical teams will increase AI uses case discovery, create a culture of experimentation, and prepare your organization for AI transformation.

Two new AI jobs for non-technical teams predicted by the New York Times

The AI Skills Stack: Your Foundation for Multiple Roles

Not all 22 AI roles mentioned in the New York Times Magazine article are equally relevant to every organization. Instead, you can create a foundational AI Skills Stack that supports all future AI roles. Think of this as your organizational AI fluency infrastructure:

Tier 1: AI Fluency Fundamentals (Everyone)

  • AI Literacy: Understand what generative AI is, and what it can and can’t do

  • Prompting: Craft clear, useful prompts and iterate for better outputs

  • Workflow Collaboration: Use AI across multi-step tasks and integrate into tools

  • Critical Evaluation: Review outputs for accuracy, bias, and usefulness

  • Data Fluency: Understand how data affects AI behavior and privacy

  • AI Ethics: Apply responsible use guidelines and raise issues when needed

Tier 2: AI Business Integration (Managers & Leaders)

  • AI strategy thinking: Connecting AI capabilities to business outcomes

  • AI project management: Planning and executing AI implementation

  • Change management: Leading teams through AI adoption

  • AI governance: Ensuring responsible AI use across the organization

Tier 3: AI Specialization (Role-Specific)

  • Advanced prompt engineering: Crafting sophisticated AI interactions

  • AI system evaluation: Assessing AI performance and reliability

  • AI-enhanced creativity: Using AI to amplify human creative capabilities

  • AI integration architecture: Designing AI-human workflows

Prepare your employees to for these AI roles by building a your AI Skills Stack.

Your 90-Day AI Readiness Transformation

The following roadmap provides a structured approach to building AI fluency across your organization, moving from foundation to scale in just three months.

Days 1-30: Foundation Building

  • Week 1: AI Fluency Assessment

    • Survey current AI tool usage across departments

    • Identify early adopters and AI-curious employees

    • Document existing AI-related skills and knowledge gaps

      • Deliverable: AI Readiness Baseline Report

  • Week 2: Leadership Alignment

    • Present AI fluency framework to leadership team

    • Align on 3-5 priority AI skills for your organization

    • Secure budget and resources for AI fluency development

      • Deliverable: AI Upskilling Strategy Document

  • Week 3: Pilot Group Selection

    • Identify groups of employees for a pilot AI fluency program

    • Select mix of early adopters and influential team members

    • Ensure representation across key departments

      • Deliverable: Pilot Cohort Roster

  • Week 4: Foundational Training Launch

    • Begin Tier 1 AI fluency training for pilot group

    • Focus on generative AI proficiency and critical evaluation

    • Establish regular practice sessions and peer learning

      • Deliverable: Training Program Kickoff

Days 31-60: Skill Development

  • Week 5-6: Advanced AI Fluency

    • Tier 2 training for managers and leaders in pilot group

    • Focus on AI strategy thinking and change management

    • Begin role-specific skill development for priority positions

      • Deliverable: Intermediate Skill Assessments

  • Week 7-8: Practical Application

    • Assign real-world AI projects to pilot group members

    • Implement AI-enhanced workflows in selected departments

    • Document successes, challenges, and lessons learned

      • Deliverable: AI Implementation Case Studies

Days 61-90: Scale and Optimize

  • Week 9-10: Results Measurement

  • Week 11-12: Scaling Strategy

    • Plan rollout to broader organization

    • Develop internal AI fluency trainers and champions

    • Create sustainable AI skill development processes

      • Deliverable: Organization-Wide AI Fluency Plan

The Competitive Advantage Timeline

The timing of your AI readiness initiative will determine your competitive position in the market. Here's how early action translates to sustained advantage:

Organizations that start now:

  • Month 3: Have pilot group demonstrating AI fluency

  • Month 6: Multiple employees ready for AI specialist roles

  • Month 12: Comprehensive AI-ready workforce

  • Month 18: Competitive advantage in AI-driven market

Organizations that wait:

  • Month 12: Begin exploring AI training options

  • Month 18: Launch pilot programs

  • Month 24: Still building basic AI fluency

  • Month 30: Competing for scarce external AI talent

Common Implementation Pitfalls (And How to Avoid Them)

Learning from others' mistakes can accelerate your success. Here are the most frequent stumbling blocks and their solutions:

Pitfall 1: Focusing only on technical AI skills

  • Solution: Emphasize other AI skills like business integration and human-AI collaboration

Pitfall 2: Treating AI fluency as one-time training

Pitfall 3: Ignoring change management

  • Solution: Address employee concerns and build excitement about AI enhancement

Pitfall 4: Lack of practical application

  • Solution: Provide real projects and immediate opportunities to use new skills

Need more context to start?

Building a comprehensive AI fluency strategy for non-technical teams is an undertaking. We don’t expect you’ll kick it off from a single blog post. So we offer 20 min chats on any topic related to your AI strategy. We love to hear what you’re working on and we’ll share what we’re hearing from others.

We work with organizations to design and implement comprehensive AI readiness programs tailored to their specific industry, size, and strategic goals. Our approach combines strategic planning, practical skill development, and change management to ensure your AI fluency investment delivers measurable ROI.

What you get:

  • Custom AI readiness assessment and strategy

  • Tailored training programs for your priority AI roles

  • Implementation support and ongoing optimization

  • Measurable ROI from improved AI adoption and productivity


Ready to chat about what’s possible? Contact us.

Next
Next

How to Build an AI Fluency Framework for Your Team