Artificial intelligence has become an increasingly pervasive technology within companies, which are already incorporating it into their daily operations to improve their operational efficiency, optimize processes, and transform their work models.
Its impact is already evident in areas such as task automation, improved decision-making and productivity gains.
According to the report “The Value of AI 2026,” prepared by SAP and Oxford Economics, AI already supports 30% of the tasks currently performed in businesses, up from 25% recorded in 2025. Moreover, forecasts indicate this figure will rise to 48% in the next two years.
This progress 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 AI.
The advance of AI is not only transforming business models but is also creating clear differences between those organizations that use this technology and those that do not.
Visible Productivity Gaps
According to the Bank of Spain’s Annual Report, the productivity gap between companies that have adopted AI and those that have not has doubled over the past three years. While in 2022 this gap stood at €2,700 per employee, by 2025 it reached €6,300.
NODUS, a company specializing in implementing AI infrastructures for businesses, warns that rising AI adoption does not always entail strategic integration across organizations. Many firms continue to add tools in isolation, point solutions, or standalone offerings that are not connected to one another and do not respond to a global strategy.
In fact, while 73% of organizations already have an AI strategy aligned with their business objectives, less than half have named an AI lead, 41% provide specific training to executives on AI capabilities and risks, and only 33% incorporate AI adoption indicators into their leadership objectives, according to the “The Value of AI 2026” report.
In this scenario, NODUS argues that the challenge many organizations face is no longer simply embedding AI into their working models, but doing so in a strategic way, integrating it transversally across the entire organization. A properly integrated Digital Worker in the processes of a large organization can free up as much as 150,000 hours of work per year, according to estimates from the consultancy Setesca.
