[2/2] The State of AI in 2025: Strategies of High-Performing Companies (Category AI)

[2/2] The State of AI in 2025: Agents, Innovation, and Transformation — Strategies of High-Performing Companies (Category #AI)

To finish my discussion of this McKinsey report, I couldn’t pass over its most interesting section: the comparison between ordinary companies and the high-performing 6% of organizations that have achieved a meaningful business impact from AI. These leaders take a strikingly different approach. McKinsey’s researchers define them using two criteria: more than 5% of EBIT attributable to AI and confirmed “significant” value from its use. The report treats these companies as a golden image, a model to emulate for those not yet able to report an AI contribution of 5% of total EBIT.

Here is how these AI overachievers differ from the rest.

1️⃣ Leaders set ambitious goals for AI Half say they intend to transform their businesses with AI, rather than simply improve efficiency. According to the survey, they are 3+ times as likely as other companies to aim for a fundamental rethinking of their operations through AI. They see it not simply as a tool, but as a new operating mechanism for the organization.

2️⃣ High performers redesign workflows around AI They are almost 3 times as likely to report radically redesigning individual workflows when adopting AI. The statistics support this: fundamental process redesign is one of the strongest success factors in the regression analysis. Put simply, leading companies go beyond automating isolated tasks. They rethink the sequence of activities and the roles of people and machines, placing AI at the heart of those processes. This takes more effort but produces a qualitatively different level of impact.

3️⃣ Leaders deploy AI more broadly and quickly They use AI across many more functions and move faster in scaling pilots. High performers already use it in most functions, and they are ahead on agents too: in every business function, they are at least three times as likely to have reached the stage of scaling agents. In other words, when a new technology appears, the top 6% try to deploy it widely from the outset.

4️⃣ Senior management takes direct responsibility for the AI agenda These companies are 3 times as likely to strongly agree that their senior leaders demonstrate commitment to AI initiatives by taking responsibility and personally championing adoption. Leaders actively participate rather than merely sponsor the work. Large-scale change is difficult without this cultural shift. As the report’s authors note, culture and leadership effectively become a moat that distinguishes these companies from their competitors.

5️⃣ High performers invest more and build AI capabilities systematically More than one-third spend over 20% of their total digital budgets on AI, almost 5 times the rate among other companies. Around 75% are scaling AI or have fully scaled it, compared with only 33% of the rest. They also hire AI specialists more actively and address key talent and data gaps. All high-performing organizations adopt a set of practices across six dimensions: strategy, talent, operating model, technology, data, and adoption and scaling. For example, leaders more often establish clear processes for human review of model outputs to control quality, embed AI tools in core business processes and track KPIs for AI solutions. That attention to implementation gives them an advantage.

And then, to finish off everyone outside the high-performer club with a dose of FOMO (fear of missing an opportunity), the conclusion has to be that the top 6% turn AI into a competitive advantage through growth, innovation and organizational transformation, while many others remain stuck at isolated improvements. A gap opens up: a small group is already rewriting the rules of work, and the rest risk falling behind.

#Engineering #AI #Metrics #Software #Productivity #Economics #Whitepaper