While AI agents don't argue or take unexpected vacations, they operate 24/7 and generate ideas at a relentless pace. This constant output creates a higher cognitive load and can be more tiring for managers than supervising a human team.
Switching AI vendors is difficult not because of data lock-in, but because of user expertise. The cost for a power user to learn a new tool is too high unless a competitor is at least twice as good, creating an "inertia grab" moat.
When the same task was given to two AI marketing agents built on different platforms (Replit vs. Lovable), they produced different types of ideas—one focused on performance marketing, the other on brand—suggesting agents inherit a platform's philosophical "taste".
The expectation for SaaS is shifting from lengthy implementation to immediate results. Mark Benioff's wish for Salesforce customers to not pay until deployed reflects the new standard where agentic products must prove their value instantly to win.
New-category roles like "GTM Engineer" have no established talent pool. Instead of searching externally for a non-existent candidate, find the person on your marketing team who already hacks tools together with Zapier and builds their own dashboards.
The benchmark for AI agents should not be replicating 80% of a top performer. Instead, focus on narrow use cases where agents can achieve more than 100% of human capability, creating a new standard of "superhuman" performance.
All early AI systems produce "slop" (imperfect output). Instead of dismissing them, analyze the ratio of value delivered versus the slop produced. The key metric is the slope of improvement; if this ratio is rapidly getting better, the technology is on the right track.
When products change weekly due to AI, traditional relationship-based selling fails. The most valuable reps are those who know the product cold and can solve complex customer problems, making them indispensable in a way schmoozing no longer can.
Instead of explaining AI's potential, show it. Identify the most magical, jaw-dropping internal application of an AI tool and demo it live for your leadership team. This visceral experience is far more effective at driving organizational change than any presentation.
In stable markets, planning offers a good return. However, in today's rapidly changing, AI-driven world, that time is better invested in building and shipping product faster. The fastest-growing companies now plan weekly, not quarterly or annually.
The practice of using junior BDRs who lack product knowledge to qualify inbound leads is a deeply negative customer experience. This role, which wastes customer time and adds no value, can be replaced by AI agents that are instantly more effective.