AI drives 3 in 10 business tasks, widening the productivity gap

Artificial intelligence (AI) drives three out of ten business tasks, and companies that have already integrated it into their work models provide competitive advantages compared to those that have not yet begun its adoption, according to The Value of AI 2026, by SAP and Oxford Economics.

The report shows how AI has become an increasingly present technology within companies, which are already incorporating it into their daily activities to improve operational efficiency, optimize processes, and transform their work models, reports Servimedia. Its impact is already notable in areas such as task automation, improved decision-making, and increased productivity.

The study, part of a survey conducted with 2,600 executives from organizations in 13 countries, reflects that AI already supports 30% of the tasks currently performed in companies, compared to 25% recorded in 2025. Additionally, forecasts indicate that this figure will increase to 48% in the next two years.

This advancement is also reflected in the growth of business initiatives linked to this technology. According to the same study, 63% of organizations are already leading or expanding intelligent automation projects, while 54% are doing the same with solutions based on generative artificial intelligence.

Transformation of business models

The advancement of artificial intelligence is not only transforming the business models of companies but is also generating evident differences between those organizations that use this technology and those that do not.

Nodus, a company expert in implementing artificial intelligence infrastructures for businesses, warns that the increase in AI adoption does not always imply a strategic integration within organizations. Many companies continue to incorporate tools in isolation, sporadic automations, or independent solutions that are not connected to each other nor do they respond to a global strategy.

In fact, although 73% of organizations already have an AI strategy aligned with their business objectives, less than half have designated an AI officer, 41% offer specific training to their executives on its capabilities and risks, and only 33% incorporate AI adoption indicators within their leadership objectives, according to data from The Value of AI 2026.

Argues that the challenge many organizations face is no longer just incorporating artificial intelligence into their work models, but doing so strategically, integrating it transversally throughout the organization.