The AI Arms Race Is Distracting Businesses From the Real Problem
Most companies now use AI, but few have scaled it across the business and even fewer are seeing clear financial returns.
The AI arms race is diverting business focus from the true issue at hand. While nearly all organizations are now using AI, only around two-thirds have scaled it across the enterprise and fewer than half have seen a significant impact on their bottom line. McKinsey's research suggests that workflow redesign is crucial for capturing more value from AI, but productivity improvements alone are unlikely to provide a lasting competitive advantage.
Companies are rushing to adopt AI, treating it as a plug-and-play tool, but this misses the mark. The key is understanding the business problem first and determining where AI can actually change the economics of solving it. Companies must move beyond treating AI as a standalone application and instead integrate it into the workflow itself, behind the interface, to truly transform the way teams operate.
An example of this is a firm that helped automate document processing during tax season, reducing the time required for interns from nearly a business day to just 30 minutes. This freed up accountants to focus on higher-value work, such as developing tax strategies. AI should become a part of a daily toolset rather than just another application for employees to learn.
However, companies often fail when they provide a technically sound system that doesn't fit how teams actually work, leading to technology projects that ultimately fail. The transition from a prototype to a viable AI solution is often the ultimate blocker, as it involves moving from the quick stage of building without constraints to meeting real-world requirements.
Companies that can navigate this roadblock are more likely to gain a competitive advantage in the AI market.
Written by urgent.news from Newsweek's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
