ARF Finds Marketer Confidence in AI Outputs Reaches 93%
The Advertising Research Foundation (ARF) said in a press release that marketer confidence in AI generated outputs reached 93% in May 2026. The figure rose from 82% in November 2025 among marketers using AI.
The share conducting extensive testing reached 64%. Formal AI training programs increased from 50% to 70% between the two survey periods.
Marketers use AI for creative work, media buying, customer engagement, analytics, campaign measurement, synthetic data and generated personas. No single AI system dominates across these functions, while data privacy, inaccurate outputs and brand safety remain leading concerns.
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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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