A recent report from PYMNTS Intelligence highlights a significant gap between the extent of AI adoption and the value companies derive from these technologies. While the number of tasks automated remains similar regardless of the number of AI functions implemented, the financial returns vary drastically. Only 55% of companies with AI in one or two functions report positive returns, whereas 93% of deeper adopters see benefits.
The research indicates that as AI transitions from simple tasks to complex workflows, such as invoice approval or procurement, it requires a fundamental shift in organizational structure. Companies integrating AI across three or more functions encounter an average of 5.6 barriers to adoption, compared to just three for those with minimal integration. These challenges often stem from legacy issues like inconsistent data and manual processes.
As access to AI models becomes commoditized, competitive advantage will shift from model ownership to organizational architecture. Future enterprise spending is expected to prioritize data management, cybersecurity, and workflow integration to support AI operations. Success now depends on a company's ability to create an environment where AI can effectively perform work rather than simply answering questions.
