The job skill everyone wants but nobody can define

Everyone claims AI fluency. Few have a system. I've worked with salespeople prompting without brand context and marketers churning content without an EEAT strategy — all confident they're "using AI." McKinsey says demand for AI skills is up 7x in two years. PwC says it pays a 56% premium. But until employers start asking "do you have a system?" instead of "do you use ChatGPT?", they'll keep hiring tool users when they need system builders. This piece breaks down what SMBs should actually look for.

An SEO expert offers three tips for adapting to “zero click” searches and chatbots.

The shift from AI-as-efficiency-tool to AI-as-workforce-replacement isn't hypothetical anymore—it's a purchasing decision. Smart leaders are asking the hard question now: not can we automate this role, but how do we redesign work so humans and agents create exponentially more value together? That redesign, not the technology itself, determines who thrives.

The productivity debate reveals AI's fundamental challenge: we're optimizing for the wrong outcomes. True economic impact requires redesigning workflows and augmenting human capability, not just automating existing tasks. The companies seeing results aren't asking "what can we cut?" but "what becomes possible now?"

The gap between AI's creative capabilities and actual usage reveals where real business value lives: reducing friction in daily workflows. Leaders should focus AI investments on augmenting existing processes before chasing flashy use cases.

Learn how shifting user behavior in the age of AI could impact traffic and revenue — and what marketers and publishers can do to stay ahead.

The AI agent gap isn't technical—it's semantic. Enterprises are learning that without ontologies defining what data actually means across systems, agents can't execute reliably. The unglamorous work of standardizing business definitions now determines AI success more than model selection ever will.

Shadow AI isn't just an IT headache—it's a strategic liability costing you time, money, and security. The gap between knowing what's needed (90% want AI orchestration) and acting on it (35% invested) represents both your biggest risk and clearest opportunity. The question isn't whether to consolidate your AI strategy, but how quickly you can move before fragmentation becomes irreversible.