Getting Your Team to Think Strategically About AI
Most teams respond to AI with tactics - a demo here, a pilot there. Strategic thinking is a skill that can be taught, starting with three deceptively simple questions.
Most teams respond to AI with tactics - a demo here, a pilot there. Strategic thinking is a skill that can be taught, starting with three deceptively simple questions.
Experience replaces feelings with competence. That's its job - but it costs you the emotional memory your team needs you to have right now about AI.
The gap between knowing a job and understanding it has been invisible for decades. AI is about to make it the most important distinction on your team.
Everyone wants to jump straight to the AI tools. But real AI transformation starts with understanding why your business needs to change - and what success looks like before you write a single prompt.
The real AI skills gap isn't about finding data scientists. It's about bridging the gap between people who hoard knowledge and people who need it, between employees protecting their value and organizations that need teams to work differently.
Every technology project comes down to two things: getting information into systems or getting information out. Understanding this pattern changes how you approach digital transformation - and determines whether AI creates value or just complexity.
That $2M IoT investment isn't failing because of technology. It's failing because your operational data is fragmented and your customer intelligence is siloed. Here's how the companies who actually succeed approach product intelligence.
Industrial B2B companies know more about their customers than Amazon ever could - what they manufacture, how their production runs, when equipment needs service. The problem? That intelligence is trapped in systems designed to process transactions, not generate insights.
The best AI implementations I've seen started with something unexpected: companies running 15-year-old ERP systems. Not the newest platforms - old, stable systems sitting on decades of clean operational data. Your ancient ERP might be your biggest AI advantage.
Roughly every 20 years, a technology wave reshapes business. ERP automated operations (1960s-1980s). The Internet connected customers (2000s). IoT enabled smart products (2010s). AI is the fourth wave - transforming how expertise flows through teams. Unlike previous waves, AI disrupts knowledge hierarchies and challenges who controls information in your organization. Understanding this pattern reveals why AI implementation requires organizational change, not just technology deployment.