The Great AI Reset: 2027 Isn't A Spending Story—It's A Recalibration Story

Girish Joshi, SVP of technology at Collabera, has led Fortune 500 digital shifts for 25+ years and now drives AI and agentic transformation.

Will enterprises keep spending on AI in 2027 at their current pace? Likely not, and that’s not a verdict on AI. It’s a verdict on how the last three years were spent, and what enterprises learned from spending them.

The reset will be less about belief in AI and more about recalibration: which experiments, architectures and vendor dependencies have earned a permanent place in the business, and which haven’t.

The Cuts Nobody Will Debate

Some of the reset is straightforward. PwC’s 2026 Global CEO Survey found that 56% of CEOs had seen no meaningful revenue or cost benefit from AI, while only 12% had seen both. Gartner found that only 28% of AI use cases in infrastructure and operations fully met ROI expectations, while 20% failed outright.

Projects that cannot justify their return and keep consuming capex and opex without a credible path to value will be shut down. This part of the reset barely needs debating. The harder question is everything else.

The Selective Scale-Ups

A smaller number of AI use cases will do the opposite: scale into differentiated products, platforms and offerings that become part of the business, not a tool inside it. Deloitte’s 2026 State of AI in the Enterprise research found that only 34% of organizations are truly reimagining the business with AI, while another 30% are redesigning key processes around it. The significance is how few organizations have moved beyond using AI to optimize what already exists.

The next phase won’t be defined by more AI initiatives. It will be defined by fewer AI capabilities that customers, competitors and the business itself find difficult to live without.

The Real Fatigue: Not ROI, But The Ground Never Stopping

That pace was tolerable during experimentation. It gets harder once AI becomes a production dependency, since today’s commitment may not be right a year from now.