---
title: The Leadership Skills CROs Need to Actually Deliver AI ROI | Brazn AI
description: Learn the key leadership skills CROs must develop to successfully drive AI adoption, shift from activity management to outcome-based coaching, and deliver true ROI on AI sales investments.
image: https://www.brazn.ai/hubfs/Imported_Blog_Media/photo-1541844053589-346841d0b34c-1.jpg
---

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# The Leadership Skills CROs Need to Actually Deliver AI ROI

![](https://www.brazn.ai/hubfs/Imported_Blog_Media/photo-1541844053589-346841d0b34c-1.jpg)

- April 30, 2026

![Alex Margarit](https://www.brazn.ai/hubfs/Alex_Margarit.avif)

[Alex Margarit](https://www.brazn.ai/blog/author/alex-margarit)

# The Leadership Skills CROs Need to Actually Deliver AI ROI

The promise of AI in sales is massive: higher win rates, shorter sales cycles, and drastically improved rep productivity. Yet, many CROs are finding that their expensive AI investments are falling flat. The problem isn't the technology; it's the leadership. Managing an AI-augmented sales team requires a fundamentally different skillset than managing a traditional team, and many leaders are struggling to adapt.

In this article, we will explore the specific leadership skills CROs must develop to successfully drive AI adoption and realize true ROI.

## What We'll Cover

In this article, we will cover:

- Why traditional sales leadership tactics fail with AI
- The shift from "managing activity" to "managing outcomes"
- 3 critical leadership skills for the AI era
- How to foster a culture of continuous experimentation

## Understanding the Approach

Leading an AI-augmented team means shifting from a "command and control" style to a "coach and collaborate" approach. Instead of simply demanding more dials, an AI-era CRO must teach their team how to leverage technology to work smarter.

Example: A traditional manager might tell a struggling rep to "make 50 more cold calls this week." An AI-era manager sits down with the rep, reviews the insights from their conversational intelligence tool, identifies that the rep is struggling with a specific objection, and helps them build an AI [prompt](https://www.huit.harvard.edu/news/ai-prompts) to practice handling it.

## Why This Matters

Developing these new leadership skills is the only way to prevent your AI investments from becoming expensive shelfware.

- Before: Reps view AI tools as "Big Brother" surveillance and resist adoption. After: Reps view AI as a valuable co-pilot that helps them earn more commission.
- Before: Managers spend their 1:1s interrogating the forecast. After: Managers use AI insights to provide targeted, actionable coaching.
- Before: The organization is rigid and slow to adapt to new technologies. After: The organization embraces a culture of experimentation and rapid iteration.

## The Complete Guide

H3 Skill 1: Algorithmic Intuition

Objective: Understand how AI models make decisions and where they might fail.

Actionable Advice: CROs don't need to be data scientists, but they must understand the basics of how their AI tools work. If a predictive forecasting tool says a deal will slip, the CRO must be able to ask the right questions to understand *why* the model made that prediction.

Best Practices: Regularly review the inputs and outputs of your AI tools with [RevOps](https://www.digitopia.agency/revenue-operations-revops-starter-guide) to ensure the models are accurate.

H3 Skill 2: Change Management & Empathy

Objective: Guide the team through the anxiety of technological disruption.

Actionable Advice: Acknowledge that AI will change how reps work. Address fears of job replacement head-on by clearly communicating that AI is meant to augment, not replace, human sellers.

Best Practices: Identify "AI [Champions](https://www.linkedin.com/learning/influencing-the-decision-maker-with-sales-champions/what-is-a-champion)" within the sales team and use them to drive peer-to-peer adoption.

H3 Skill 3: Outcome-Based Coaching

Objective: Shift the focus from activity metrics to strategic execution.

Actionable Advice: Since AI will automate many of the traditional activity metrics (like data entry and initial outreach), managers must learn to coach on higher-level skills, such as business acumen, empathy, and complex negotiation.

Best Practices: Use AI-generated call summaries to quickly identify coaching moments before every 1:1.

## How to Implement This

The CRO must embody these skills and mandate that their frontline managers develop them as well. Enablement should create training programs specifically designed to teach managers how to coach in an AI-driven environment. HR should update leadership competency models to reflect these new requirements.

## Next Steps

Technology alone won't transform your revenue engine. It requires strong, adaptable leadership to guide the team through the transition and unlock the true potential of AI.

In your next 1:1 with a frontline manager, ask them how they're using AI insights to coach their team. Ready to equip your leaders with the right tools? See how Brazn supports outcome-based coaching.

## See Brazn in your sales stack

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![Alex Margarit](https://www.brazn.ai/hubfs/Imported_Blog_Media/Alex_Margarit-Sep-19-2026-05-32-42-0985-PM.avif)

## About the author

[Alex Margarit](https://www.linkedin.com/in/aemm/) is a Sales AI Expert and SaaS Sales Leader with 25+ years of experience at BMC, ServiceNow, and DocuSign.

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