Unlocking Organizational AI Fluency
AI is no longer optional in the workplace—it’s critical.
Whether you’re writing marketing copy, debugging code, or triaging customer tickets, AI prompt engineering skills are becoming essential across job functions. Yet most professionals aren’t ready. And most companies don’t have a clear plan to close the gap.
In this blog, we cover:
- What is AI Prompt Engineering / AI Prompting
- How companies vs employees view their AI Fluency
- The rapid rise of AI skill demand
- Common GenAI skills across job roles
- How to grow AI fluency across departments
- How Glider AI’s Prompt Engineering Skill Assessment helps identify real talent
What Is AI Prompt Engineering?
AI Prompt Engineering is the skill of crafting clear, structured, and goal-oriented inputs (called prompts) that guide generative AI models—like ChatGPT, Gemini, or Claude—to produce useful and accurate outputs. This includes understanding how to ask the right questions, provide relevant context, and iterate based on AI responses to improve results. Whether you’re writing code, creating content, or analyzing data, prompt engineering helps you get better, faster outcomes from AI systems. It’s a practical, high-impact skill that’s becoming essential across every business function.
AI Fluency: The Reality vs. Perception Gap
There’s a significant disconnect between how employers perceive AI fluency and how employees experience it:
- 69% of business leaders believe their company is moderately to highly AI fluent.
Source: Workday, 2023 - Just 28% of employees feel confident using generative AI tools.
Source: Salesforce, 2023
This disconnect creates risk. Leaders are betting on AI to increase productivity, but teams often lack the practical skills to deliver value from tools like ChatGPT, Gemini, or Claude.
The Growth of AI Skills and Why It Matters
The market is evolving fast:
- AI-related job postings grew 2.5x faster than non-AI roles.
Source: LinkedIn Future of Work Report, 2024 - 81% of executives say AI skills will be essential in the next 5 years.
Source: IBM Global AI Adoption Index, 2023 - Roles requiring AI fluency offer up to 47% higher compensation.
Source: PwC AI Jobs Barometer, 2023
This shift is not limited to engineers or data scientists. GenAI tools are now embedded in workflows for marketers, sales reps, recruiters, and more. Prompt engineering is emerging as a baseline skill—just like Excel once was.
AI Fluency by Job Function
Here’s how confidence in AI tools breaks down by role:
Source: LinkedIn, 2024
The opportunity? Upskill non-technical teams with practical prompting strategies tailored to their function.
AI Prompting: Skills That Matter by Role
Engineers
Key Skills:
- Debugging via LLMs
- Code snippet generation
- Refactoring assistance
Effective Prompts:
- “Find the bug in this JavaScript function.”
- “Refactor this code to improve performance.”
Product Managers
Key Skills:
- Feature ideation
- User story drafting
- Market research synthesis
Effective Prompts:
- “Write 3 user stories for a mobile checkout flow.”
- “Summarize reviews for top project management tools.”
Marketers
Key Skills:
- Content creation
- Tone personalization
- SEO writing
Effective Prompts:
- “Write a landing page headline targeting HR leaders.”
- “Generate SEO-friendly blog subheadings for ‘AI in hiring’.”
Sales Teams
Key Skills:
- Prospect research
- Objection handling
- Cold outreach
Effective Prompts:
- “Write a first-touch email for a B2B AI assessment tool.”
- “List 3 ways to overcome ‘we already use another vendor’.”
HR & TA
Key Skills:
- Resume analysis
- Interview prep
- Candidate screening
Effective Prompts:
- “Summarize this resume for a frontend dev role.”
- “Generate 3 follow-up questions based on this profile.”
Customer Support
Key Skills:
- Ticket summarization
- Response drafting
- Escalation logic
Effective Prompts:
- “Summarize this support email and draft a reply.”
- “Create 3 variations of a refund explanation message.”
How to Grow AI Fluency—Across Teams
1. Role-Based Training
Generic AI courses won’t cut it. Tailor training to specific workflows—whether it’s building a product roadmap or handling a client escalation.
2. Practice in the Tools They Use
Encourage daily experimentation with ChatGPT, Gemini, or other platforms through sandboxes and prompt libraries.
3. Create Prompt Sharing Culture
Run “prompt of the month” contests. Launch an internal wiki of proven prompts by team and use case.
4. Make Prompting Measurable
Incorporate prompt efficiency and effectiveness into performance goals and learning KPIs.
The Glider AI Prompt Engineering Assessment
To scale hiring and upskilling, you need a way to measure GenAI skills—not guess them.
Glider AI’s Prompt Engineering Skill Assessment helps teams validate real AI fluency with hands-on challenges.
What It Evaluates:
- Prompt Structuring: Is the candidate writing clear, goal-aligned, efficient prompts?
- LLM Platform Familiarity: Can they navigate and interact effectively with ChatGPT, Gemini, and other LLMs?
- Iteration Efficiency: How many prompts does it take to get to a quality answer?
- Output Relevance: Are AI-generated responses useful, specific, and accurate?
How It Works:
- Real-world scenarios tailored to job roles
- Candidates perform live AI prompting tasks
- Automated scoring based on clarity, accuracy, and efficiency
- Dashboards for hiring managers to compare performance across candidates
It’s the fastest way to identify who can really work with AI—and who just says they can.
AI Prompt Engineering Skills and the Future!
AI fluency is becoming a prerequisite, not a perk.
Companies that invest in developing—and measuring—prompt engineering skills across all functions will gain speed, productivity, and a serious talent advantage.
Glider AI gives you the toolkit to build that advantage. Whether you’re hiring engineers or onboarding sales teams, now is the time to close the AI fluency gap—with the right assessments, the right skills, and the right strategy.
