We’re excited to share that our CEO, Lior Koriat, was recently featured in TechBullion with a compelling opinion piece on how organizations are approaching AI infrastructure, and why a shift in mindset and operating model is key to unlocking true value from AI investments.

In “AI Infrastructure Isn’t Too Expensive. We’re Just Running It Wrong,” Lior draws on his deep experience in infrastructure automation to challenge a common narrative in the industry: that AI compute costs alone make modern AI adoption prohibitively expensive. Instead, he argues that the real barrier isn’t hardware costs, it’s how infrastructure is operated, governed, and optimized once it’s deployed.

Lior highlights how traditional models for cloud and infrastructure governance, built for more predictable workloads, are failing to keep up with the realities of GPU‑driven, dynamic AI environments. These workloads are often bursty and ephemeral, making manual and reactive cost control approaches ineffective and expensive.

Rather than focusing solely on capex headlines, the piece urges technology leaders to design operating models that bake in accountability, lifecycle management, and real‑time governance from the start, so that cost efficiency becomes an outcome of how environments are defined, provisioned, and retired.

This insight aligns with Quali’s mission to help enterprises scale complex infrastructure through AI‑driven orchestration, governance, and automation, turning waste‑prone environments into predictable, policy‑controlled services.

This feature joins other recent leadership coverage of Lior, including the in‑depth profile published on Pulse 2.0 that explored his vision for infrastructure automation and how Quali is shaping the next wave of platform engineering.

Read the full TechBullion article to hear Lior’s perspective on AI infrastructure economics and sustainable deployment strategies.
Read the full article on TechBullion