Alex Singla
McKinsey commentary
Senior partner
Last year, we noted that generative AI was no longer a novelty and that enterprise adoption was spreading as companies rewired to help realize value. This year’s data confirm that trajectory—AI use is broadening, but scale still lags. We are seeing that while companies may have rolled out AI tools, most have not yet productized use cases, redesigned workflows around AI and agentic capabilities, or built the platforms/guardrails needed to run them at scale. In working with organizations, we find that the largest ones have the scale to invest in AI to advance more quickly. The companies reporting EBIT impact tend to have progressed further in their scaling journeys. All business leaders are seeking to make their companies more efficient, but the real results emerge when leaders are also able to use technology to innovate.