You’ve read the headlines and analyst reports – companies that effectively leverage AI will outperform and outpace their competitors who fail to embrace these transformative technologies. But are you clear on where you and your business truly stand on the AI adoption curve?
To understand the landscape, I recently surveyed my audience about their AI usage and perspectives. The sample size was small, but the responses illustrated a stark divergence that I’m sure mirrors what’s happening across businesses of all sizes.
On one end of the spectrum, I had respondents completely resisting AI, unable or unwilling to explore how these tools could benefit their work. On the other extreme, there were power users deftly juggling a suite of AI applications across all their role responsibilities.
In between were the dabblers, cautiously experimenting with AI in limited use cases, and the focused specialists, diving deep into leveraging AI for core strengths like research or creativity. The more responses I reviewed, the more I could categorize people into distinct AI user personas:
Table of Contents
Reluctant Richard
Profile: Completely resists or avoids using any AI tools, often out of fear, lack of understanding, or perceived laziness. Statements like “I’m not keen on learning prompt” or “I’ve done very little with AI so far.”
Risks: Being left behind as competitors leverage AI for productivity gains. Lack of preparation for rapidly accelerating AI adoption across all industries.
Opportunity: Basic AI literacy training to simplify the technologies and use cases. Connecting usability to core business needs.
Tentative Tara
Profile: Has started using some AI tools in a narrow, lightweight capacity, often for one or two specific use cases they find valuable. E.g., “I use AI to help structure longer content” or for improving grammar.
Risks: Underusing the full potential of AI, lacking governance around ethical and compliant usage practices.
Opportunity: Expand awareness of additional AI use cases relevant to their role/industry. Implement organizational policies and provide intermediate upskilling.
Dedicated Daniel
Profile: Dives deep into AI for core tasks but primary focus is in one main area or use case. E.g., dedicated to using AI for brainstorming processes.
Risks: Lack of cross-functional visibility into other areas AI could assist. Governance gaps around data management.
Opportunity: Holistic AI strategy spanning all applicable roles and responsibilities. Data management best practices.
Power-user Pamela
Profile: Embraces and uses a wide range of AI tools across many different functions – writing, research, analysis, creativity, etc. E.g., “I use ChatGPT, Claude, and several other AI tools extensively.”
Risks: Potential governance gaps, lack of centralized standards or organizational learning processes.
Opportunity: AI Center of Excellence to scale learnings and standardize practices. Establish processes for continuous upskilling.
Evaluating your current state is the first step to developing a strategy for progressing along the AI adoption curve.
Don’t let your competitors gain an insurmountable lead. Take an honest assessment and prioritise the right plan to harness AI’s potential.
Here are three immediate actions you can take:
- Conduct an AI Readiness Audit: Assess your current usage, identify gaps, and determine where AI can drive the most value in your business.
- Invest in AI Training: Equip your team with the necessary skills and knowledge through targeted AI training and workshops.
- Develop an AI Strategy: Create a comprehensive AI strategy that aligns with your business goals, ensuring sustainable and scalable adoption.
Don’t wait until it’s too late. Schedule a consultation with an experts today to get started on your AI journey. Embrace what AI can do and position your business for long-term success.
