Enterprise artificial intelligence is not spreading evenly across companies. New findings from the August 2026 PYMNTS Enterprise AI Benchmark Report show it is scaling fastest in functions that already have structured data, clear technical ownership and outcomes that can be measured precisely. In data and technology roles, deep deployment is common. Ninety-five percent of financial services firms, 84 percent of healthcare firms and 81 percent of media firms report broad or embedded use. Security monitoring leads applications at 77 percent among firms that have scaled AI in these areas. Infrastructure optimization and data cleansing follow at 68 percent each. In payments and finance the pattern is similar. Treasury and liquidity management, accounts payable and receivable automation, and pricing optimization are the top scaled uses. About nine in ten financial services firms have scaled AI there, compared with 63 percent of healthcare firms and 43 percent of media firms.
Enterprise artificial intelligence is not spreading evenly across companies. New findings from the August 2026 PYMNTS Enterprise AI Benchmark Report show it is scaling fastest in functions that already have structured data, clear technical ownership and outcomes that can be measured precisely. In data and technology roles, deep deployment is common. Ninety-five percent of financial services firms, 84 percent of healthcare firms and 81 percent of media firms report broad or embedded use. Security monitoring leads applications at 77 percent among firms that have scaled AI in these areas. Infrastructure optimization and data cleansing follow at 68 percent each. In payments and finance the pattern is similar. Treasury and liquidity management, accounts payable and receivable automation, and pricing optimization are the top scaled uses. About nine in ten financial services firms have scaled AI there, compared with 63 percent of healthcare firms and 43 percent of media firms.