10/12/2026
MQLs are dead. Token counts don't matter. It's time for Valuemaxxing.
A common frustration among CFOs and PE boards right now: "We're spending thousands on AI tools and compute, but where is the ROI?"
The issue isn't AI capability—it's how we measure it.
In his conversation on the Spark Of Ages podcast, Alexander Liss advocates moving away from cost-per-token metrics toward a Value Per Token framework:
▪️ Bridge the gap: Tie AI agent actions directly to closed-won revenue and pipeline value.
▪️ Implement Decision Tracing: Build structured records of why decisions were made within your GTM stack, allowing your internal AI models to learn from past outcomes over time.
▪️ Focus on High-Impact Workflows: Stop using AI to automate low-value tasks that standard code could handle. Point reasoning models strictly at major business bottlenecks.
AI won't give you a durable competitive advantage just because you use it—everyone has access to the same LLMs. Your moat comes from your proprietary context, data structures, and closed-loop measurement systems.
Listen to the full episode here: https://bit.ly/4APmAB2