Building Personal AI Fluency

AI fluency starts with you. Whether you’re an individual contributor, a team leader, or a senior executive, developing personal fluency is the first step toward productive AI use that inspires and accelerates capabilities across your organization. In this session, Tim Sanders, VP of Research Insights at G2, shares a practical framework for building fluency through study, practice, and shared learning.

AI doesn’t just give you superintelligence. It gives you superagency.”

Meet the expert behind the insights

Tim Sanders, VP of Research Insights, G2

Tim Sanders is VP of Research Insights at G2, an Executive Fellow at Harvard’s Digital Data Design Institute, and a longtime thought leader on technology, leadership, and innovation. He helps professionals and organizations unlock the potential of AI through practical guidance, strategic thinking, and a people-first mindset. Tim is passionate about making AI knowledge practical, accessible, and actionable for teams and leaders alike. 

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Beyond Aspirations: Building the AI-Fluent Workplace

As the next step in our AI learning series, our experts return for a live, dynamic conversation that dives into the nuances of scaling AI fluency across your organization. Save your seat to get real-world perspectives on the personal, technical, and cultural shifts that can turn AI curiosity into workforce capability.

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Understand the key takeaways

1. AI fluency is career equity

Before you dive into tools or techniques, it’s essential to understand why AI fluency matters. AI fluency is more than a skill—it’s a career asset that compounds over time. No matter your level or role, investing in AI learning gives you a competitive edge in a rapidly evolving job market. According to Indeed, job seekers who list and can speak to generative AI proficiency see 47% higher earning potential. AI fluency gives you more than a résumé boost; it gives you agency. Building AI fluency boosts your adaptability, credibility, and long-term growth potential. When you understand how to use AI well, you’re not waiting for change—you’re shaping it.

2. Make study, practice, and discussion your AI routine

AI fluency doesn’t come from passively consuming content. It comes from consistent, intentional repetition. The most effective way to build fluency is to establish a routine across three key activities: study, practice, and discussion. Studying helps you understand what’s possible with AI and how it works. Practicing—by writing prompts, refining outputs, and giving feedback—turns that knowledge into fluency. And discussion is where it all comes together. Talking through use cases with others clarifies your thinking, surfaces new ideas, and deepens your learning. When these three habits become routine, your AI fluency compounds faster and with more lasting impact.

Just talking to someone about a use case for 10 minutes doesn’t just help them understand it—it dramatically improves your own understanding, too. Verbalizing what you’ve learned sharpens your thinking and accelerates your growth.”

3. You can’t delegate learning (no matter your level)

Unlike past technology shifts, AI is something you can—and must—learn firsthand. You don’t need a technical background or a dedicated team to get started. Today, everyone has direct access to AI tools, which means AI fluency is no longer something you can outsource or manage from a distance. Whether you’re a senior executive or an individual contributor, building your own understanding of how AI works and where it adds value is foundational. The organizations that fall behind won’t lack tools; they’ll lack leaders and teams with real, hands-on fluency.

No executive has any excuse not to commit time in the tools. The biggest bottleneck to AI transformation is a lack of direct experience with the tools by the C-suite.”

4. Practice builds proficiency

If you want to get better with AI, you have to spend time with the tools. Not just browsing or dabbling—but writing prompts, giving feedback, correcting outputs, and using AI in the context of real work. Spending just two hours a week on focused, hands-on AI practice can dramatically improve your fluency.

Over time, your goal should be to build toward four hours a week. That level of consistent use makes a meaningful difference in how confidently and creatively you can apply AI. Practice sharpens instincts, builds trust in the tools, and turns knowledge into capability.

Study gives you a theoretical understanding of AI … but practice makes you proficient.”

5. Identify your high-impact AI use cases

AI fluency begins with knowing where AI can add value. Instead of trying to automate an entire workflow, start with a specific deliverable and break it down into individual tasks. Which tasks are repetitive? Which are low-risk? Where are you bottlenecked by time or missing a skill? These are your best candidates for experimentation. High-repetition, low-risk tasks—or those you’d otherwise delegate—are ideal places to start building confidence. These small, strategic wins make AI feel approachable and quickly turn into momentum for more advanced use.

AI that builds fluency

Grammarly’s intuitive AI editor, assistant, and agents accelerate seamless adoption for professionals at every skill level. They operate across 500,000+ applications and websites, integrating directly into the tools that power modern workflows. The result? Teams build AI fluency naturally—without breaking their flow.

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Apply what you’ve learned

Next steps for individuals

Block time this week to study AI. Read a book, listen to a podcast, or follow an expert and build this into your weekly routine.

Spend at least two focused hours in an AI tool this week to practice prompting, refining, and producing real work.

Break down a current deliverable into tasks and flag one that’s repetitive, low-risk, or skill-limited to test with AI.

Choose one high-impact use case where AI could save time or improve output and commit to experimenting with it this week.

Discuss what you’re learning about AI with a teammate to reinforce your own fluency and spark ideas for others.

Tim’s recommended resources

Podcasts

Substacks

Books

  • AI First, by Adam Brotman and Andy Sack

Courses

Choose tools that support AI fluency at scale

Building AI fluency requires more than training. It takes tools that meet people where they are, help them grow, and evolve alongside them. Whether you’re looking for personal tools to experiment with or rolling out AI to your entire organization, here’s what you should look for:

Personalized and contextual

The best AI tools adapt to you and your organization—learning your voice, understanding your workflows, and getting smarter over time.

Ubiquitous by design

True fluency happens when AI is with you wherever you work. Look for tools that integrate into your daily flow—not ones that interrupt it.

Built for AI-native work

AI tools should do more than assist. They should collaborate with you—helping you prompt, iterate, and get to stronger outcomes faster.

Trusted by security leaders

Fluency can scale only when trust is in place. Choose tools that are secure by default and embraced by IT and end users alike.

Explore curated resources

Why Intuitive Interfaces Will Drive Agentic AI ROI

Learn why building individual fluency is the first step toward realizing ROI from AI tools across your team or organization.

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Goal Engineering Is the Next Must-Have AI Skill

See why goal engineering is replacing traditional prompting—and how mastering this skill will help you build your AI fluency.

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How Marketing Teams Are Using AI

See where marketers are gaining the most value from AI—and where opportunities to scale fluency still exist.

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How Customer Support Teams Are Using AI

Explore how AI is improving support workflows and what teams can do to boost consistency and productivity.

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How Leaders Are Measuring AI’s Impact

This report reveals how business leaders across industries are tracking AI’s impact—and provides a structured approach to help you do the same.

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AI Power User Habits Driving the Productivity Shift

Learn what AI power users do differently in the workplace and how to replicate their success.

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Build fluency through habit, not hype

Empower your team with AI they’ll actually use, right in the tools they already use. Grammarly works where your team works, putting fluency at their fingertips and making success scalable.

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AI fluency foundations