Finding Your Path Forward
Generative AI isn't just another technology trend - it's reshaping how we work, think, and solve problems. But here's what I discovered while working with attorneys: over 50% of attorneys are using GenAI, but less than 5% are using GenAI tools on a daily basis, despite widespread awareness and availability.
This observation led to a crucial insight: the small group of daily users knew something the other 95% didn't. They understood that the generative AI adoption journey delivers exponentially more value with consistent use. The challenge is that this value isn't immediately obvious to newcomers, especially when early attempts produce mixed results.
Recent research supports this observation. Ipsos found that the biggest barrier to generative AI adoption is a perceived lack of need or benefits, cited by one in three people. Even one in four people who said they were "very familiar" with AI tools say they don't see the need for them. This disconnect between familiarity and perceived value highlights exactly what I witnessed working with law firms: people get stuck in the early stages of their generative AI adoption journey because the transformative benefits aren't immediately apparent.
That's the paradox of the generative AI adoption journey: the tools become dramatically more useful the more you use them, but the initial experience can be frustrating enough to drive people away before they reach that tipping point. IBM research reinforces this challenge, identifying limited AI skills and expertise as the top barrier preventing deployment in 33% of organizations.
This reality inspired me to develop a generative AI adoption journey model that maps out five distinct stages of engagement. This isn't about labeling people or putting them in boxes - it's about understanding that the path to GenAI mastery requires persistence through the inevitable early struggles, and that each stage serves as a stepping stone to greater value.
The Five Stages of the Generative AI Adoption Journey
Stage 1: The Skeptic
Time Investment: 0 hours/month
ROI Impact: Negative ROI - time lost to worry
Primary Applications: None - actively avoids using GenAI
Mindset: "Too unsafe/risky. Not worth my time."
If you're a skeptic, you're not alone. Concerns about data privacy, job displacement, or simply "another overhyped technology" are completely valid. The key insight here is that avoiding GenAI entirely might actually be costing you more than engaging with it thoughtfully.
To Advance: Start incredibly small. Try asking Copilot or ChatGPT to help with a personal task - plan a weekend trip, rewrite a thank-you note, or brainstorm gift ideas. Keep it low-stakes and see what happens.
Stage 2: The Non-User
Time Investment: 0 hours/month
ROI Impact: Hidden cost - falling behind slowly
Primary Applications: Passive exposure (demos, reading headlines)
Mindset: "I'm already efficient… but will I fall behind if I don't learn this?"
Non-users often have a nagging feeling that they should be paying attention to GenAI, but they haven't taken the plunge yet. You're consuming content about AI and attending demos, but you are not using the tools yourself. The hidden cost here is the slow drift away from competitive advantage.
To Advance: Commit to trying Copilot for email drafting or summarizing once a week. Start with tasks that feel familiar and build from there. Stay curious rather than critical.
Stage 3: The Intermittent User
Time Investment: 1–3 hours/month
ROI Impact: Break-even - some wins, some friction
Primary Applications: Basic tasks with hit-or-miss results
Mindset: "Is it me prompting wrong, or is this tool overhyped?"
Intermittent users are in the experimentation phase, and this is often where people get stuck or give up entirely. Sometimes GenAI feels magical, other times it's frustrating. You're getting inconsistent results and wondering if you're doing something wrong or if the technology just isn't ready yet.
Here's the critical insight from my work with law firm partners: this stage is where 90% of users plateau or abandon their generative AI adoption journey altogether. The daily users who see exponential value? They pushed through this exact frustration. They understood that inconsistent results are not a sign of failure - they're a sign of learning in progress.
But there's a deeper challenge here that most organizations don't recognize: generative AI requires a fundamental shift in how we think about technology. For decades, we've worked with deterministic tools - you input the same data, you get the same result every time. GenAI is probabilistic. You can ask the same question twice and receive different answers. Sometimes you'll get a confidently delivered response that's completely wrong. Other times, you'll receive surprisingly shallow output. And occasionally, you'll be stunned by an insight so valuable it transforms how you approach your work entirely.
This unpredictability isn't a bug - it's a feature. But it requires experience and time to develop comfort with this new paradigm. The professionals who become daily users learn to work with this variability rather than against it.
This aligns with broader research showing that users often experience "innovation resistance" during technology adoption. Academic studies on generative AI adoption reveal that resistance forces can hinder smooth adoption, particularly when users don't immediately see clear benefits.
To Advance: Treat GenAI like a junior assistant who needs clear, specific instructions, but also embrace the probabilistic nature of the tool. Run the same prompt multiple times to see the range of outputs. Instead of asking "help me with this presentation," try "create an outline for a 15-minute presentation about quarterly sales results for a C-suite audience." When you get unexpected results, ask GenAI: "This is not what I expected, help me understand the difference?" or "Can you explain why [this…elaborate] didn’t work?"
Stage 4: The Regular User
Time Investment: 5–10 hours/month
ROI Impact: Solid ROI - saves time consistently
Primary Applications: Useful across several workflows
Mindset: "There's so much potential | I'm getting the hang of it."
Regular users have found their groove. You're seeing consistent time savings across multiple workflows and starting to understand how different AI tools complement each other. The technology has moved from "nice to have" to "hard to live without" for certain tasks.
To Advance: Push beyond your current comfort zone and try different GenAI tools. Ask GenAI to help you optimize your existing workflows and explore entirely new tasks you wouldn't have attempted before. Let AI suggest better ways of working, not just execute your current methods faster.
Stage 5: The Expert
Time Investment: 10+ hours/month
ROI Impact: Strategic ROI - multiplying returns
Primary Applications: Daily use; custom workflows; confident tool-switching
Mindset: "Knowing when and how to use each tool saves me hours."
Expert users don't just use GenAI—they orchestrate it. You know which tool to use for which task, how to chain different AI capabilities together, and most importantly, when not to use AI at all. You've developed comfort with the probabilistic nature of these tools, understanding that variability in outputs is a strength to leverage, not a weakness to eliminate. You're seeing multiplying returns because you're working smarter, not just faster.
To Advance: Use GenAI as your learning accelerator. Let it help you undertake entirely new domains of work by providing tailored guidance and feedback. At this level, AI becomes a thinking partner, not just a productivity tool.
The Value Curve: Why Persistence Pays Off
The adoption data revealed something fascinating: those 10% of daily users weren't necessarily more tech-savvy or naturally gifted with AI. They simply understood that the generative AI adoption journey follows a steep value curve. The biggest gains come after you push through the initial frustration of mixed results.
Most people expect linear progress - try the tool, get immediate value, use it more. But the generative AI adoption journey works differently. The value compounds. Each interaction teaches the AI about your communication style, your industry context, and your specific needs. What feels clunky at first becomes intuitive. What seems inconsistent becomes predictable.
The daily users discovered this compounding effect. They knew that a disappointing prompt response wasn't a reason to quit - it was data for improving the next interaction.
Your Journey Is Unique - But Persistence Is Universal
The Generative AI Adoption Journey model isn't about racing to the "expert" level as quickly as possible. Each stage serves a purpose, and moving thoughtfully through them often leads to better long-term outcomes than jumping ahead too quickly. The goal is progress, not perfection.
However, working with law firm partners taught me one universal truth: the professionals who stuck with their journey through the frustrating intermittent phase were the ones who ultimately found it indispensable. Those who gave up during the mixed-results period missed out on the exponential value that comes with consistent use.
Some people will spend months as intermittent users before becoming regular users. Others might skip stages or move back and forth as they explore different applications. The key is honest self-assessment and intentional advancement.
Ready to Accelerate Your Journey?
If you're looking to advance more deliberately through these stages, our GenAI Edge program starting in September is designed exactly for this purpose. Rather than generic AI training, we meet you at your current stage in the generative AI adoption journey and provide practical, hands-on guidance to help you reach the next level.
Whether you're a skeptic ready to dip your toe in the water or a regular user wanting to unlock expert-level capabilities, the GenAI Edge program provides the structure, community, and expertise to accelerate your journey.
Learn more about the GenAI Edge program
The future belongs to those who can work effectively alongside AI. The question isn't whether you should start this journey - it's which step you'll take next.