Deloitte Survey Finds 28% of Companies Report AI Revenue Gains
Deloitte said in a press release that 28% of surveyed companies report revenue gains from AI, up from 20% in January. The study surveyed 3,500 business and IT leaders across 25 countries and six industries from May to June 2026.
The survey found that 81% of companies report faster decision making and execution from AI. However, only 25% use the technology to create new products or services, redesign core processes or change business models.
Sixty percent have redesigned jobs around AI capabilities to at least a moderate degree, while 15% report a significant change in decision making authority. Forty percent allow AI systems to make decisions or take actions without human approval to at least a moderate degree, and 23% say accountability is unclear when an AI system produces a negative outcome.
Cost tracking also varies. While 71% monitor total AI inference and API spending, 51% track token volume and 44% track inference cost per unit.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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