The mindset shift that's driving everything — clients have moved from "business as usual" to a "crisis as usual" mentality. That's a striking reframe of how organizations now operate.
AI is 20% technology, 80% people. This cuts against the hype. The real challenge isn't the tools — it's change management, culture, and skills.
Don't automate your broken processes. The biggest trap organizations fall into is digitizing inefficient workflows and calling it AI transformation. True value comes from reimagining the process first.
Three new job categories worth watching — AI builders (engineers), AI translators (people who bridge business and tech), and AI users (everyone else). The translator role is the most underappreciated and likely the most in-demand.
"In our loop" not "human in the loop" — this reframe is subtle but powerful. It positions AI as a collaborator embedded in work, rather than something humans occasionally supervise.
Outsourcing is being reinvented. The conversation is shifting from cost-cutting SLAs to strategic partnerships measured on revenue velocity, customer experience, and risk reduction — enterprise-level outcomes.
Governance gaps are a hidden cost. Organizations that skip early legal/governance integration pay for it later through reputational damage and financial exposure. Build it in upfront.
The big historical bet: AI today is comparable to the 1880s industrially — we're very early, and the job creation wave hasn't arrived yet.
