Focusing on AI for cost savings yields incremental gains. The transformative value comes from rethinking entire workflows to drive top-line growth. This is achieved by either delivering a service much faster or by expanding a high-touch service to a vastly larger audience ("do more").

C-suites are more motivated to adopt AI for revenue-generating "front office" activities (like investment analysis) than for cost-saving "back office" automation. The direct, tangible impact on making more money overcomes the organizational inertia that often stalls efficiency-focused technology deployments.

Focusing AI efforts on efficiency and cost reduction offers limited, short-term benefits. The truly transformative approach is to invest in AI to create new revenue streams, enhance product offerings, and grow the business exponentially.

The key signal of AI's transformative power isn't just increased profitability from lower labor costs. It's the counterintuitive outcome of reducing headcount while simultaneously increasing top-line revenue, which shows AI is not just cutting costs but creating new value.

Simply making your team more productive with AI (e.g., doubling PRs) won't increase revenue unless you redesign your business model to leverage that new capacity. The goal isn't to do old things faster, but to find entirely new things that are now possible, like letting customers order cars via email in 1995.

Beyond individual productivity gains, AI's strategic enterprise value is its ability to re-engineer core operations. This automation creates significant efficiency savings, unlocking capital that can be reinvested into strategic technology spending without negatively impacting financial returns.

Businesses are unlikely to use powerful AI simply to shave a few percentage points off their software spend. The real, high-impact ROI comes from applying AI to improve core business operations, making the actual business more effective and efficient.

Leaders often expect AI to produce a shiny, marketable feature. When AI’s value is 'invisible'—baked into workflows to improve efficiency—translate those gains into concrete financial outcomes like cost savings or accelerated revenue, rather than focusing on the process improvements themselves.

Calculating the ROI of an AI initiative as a simple tool investment is a mistake. The true ROI comes from transforming entire systems and processes. This requires measuring the impact on organizational change, new workflows, and strategic alignment, which is far more complex than a basic software cost-benefit analysis.