In a recent LinkedIn post, Meghan M. Biro discusses the common misconception about the immediate return on investment for Artificial Intelligence (AI) in organizations. Biro challenges the prevailing question of whether AI is ‘worth it,’ suggesting that while it’s the right question, it’s often being answered incorrectly by focusing too narrowly on revenue generation.
Biro highlights findings from a new Deloitte report that indicates a disconnect between the perceived benefits of AI and its actual impact on revenue. While a majority of leaders acknowledge that AI helps their teams work faster and improve decision-making, a significant gap exists in actual revenue growth. According to the report, nearly three-quarters of organizations are hoping for revenue growth from AI, but only about one in five are currently experiencing it.
“Most leaders say AI is already helping their teams work faster and make better decisions. But when it comes to growing revenue? Nearly three quarters of organizations are hoping for it. Only one in five is actually seeing it.”
Shifting the Focus from Revenue to Time Savings
Meghan M. Biro argues that this discrepancy doesn’t necessarily signal a failure of AI, but rather a misdirection in how its value is being measured. She proposes that the initial and perhaps more tangible benefit of AI is not direct revenue growth, but the reclamation of employee time.
As Biro points out, the Deloitte study also tested an internal AI tool, which resulted in employees reporting an average saving of two hours per week. This reclaimed time, according to Biro, can be redirected towards tasks that inherently require human skills and judgment.
“What AI delivers first is something quieter: it gives people their time back.”
Biro emphasizes that these two hours can be reinvested into critical thinking, relationship building, and solving complex problems that lack predefined formulas – areas where human expertise remains indispensable.
The Key to Successful AI Implementation
According to Meghan M. Biro, organizations that are achieving the strongest results with AI are those that prioritize two key elements: comprehensive employee training and a clear definition of success metrics before implementation.
The Importance of Training and Clear Objectives
Biro suggests that equipping employees with the necessary skills to effectively use and integrate AI tools is paramount. Furthermore, establishing clear, measurable objectives for what constitutes success with AI implementation is crucial for accurately assessing its impact. Without these foundational steps, companies may struggle to see the desired outcomes, particularly in terms of revenue.
“The organizations seeing the strongest results are the ones who trained their people well and got clear on what success looks like before they started measuring it.”
In essence, Meghan M. Biro’s analysis on LinkedIn calls for a more nuanced understanding of AI’s value proposition. By shifting the focus from immediate revenue gains to the profound impact of time savings and empowering human capabilities, organizations can better position themselves to realize the full potential of AI, aligning with Biro’s insights on effective talent strategy and the future of work.
📝 About This Content
This article is based on insights shared by Meghan M. Biro on LinkedIn.
📅 Originally posted on May 7, 2026 | View original post on LinkedIn →