A phenomenon dubbed "Tokenmaxxing" is spreading from Silicon Valley to traditional enterprises, where companies showcase their AI usage scale and capabilities by displaying token consumption volumes. Visa, the world's largest payment company, recently disclosed that its monthly AI token usage reached 1.9 trillion as of March 2026, doubling from February and signaling rapidly accelerating enterprise-level AI adoption. Visa emphasizes that its focus lies not merely on call volume but on tangible business outcomes driven by AI. The company has begun rewarding teams that effectively leverage AI to enhance productivity. Rajat Taneja, Visa’s Chief Technology Officer, stated, “The crux is impact at scale, not just usage.” Currently, AI is deeply embedded across Visa internally. While software engineering remains the top area for token consumption, other business lines such as marketing are also accelerating adoption. For instance, Visa’s marketing team used AI to generate innovative ad concepts blending ski resort scenes with streets along Italy’s Amalfi Coast, significantly boosting content production efficiency. In terms of specific tools, employees primarily utilize multiple AI assistants including Claude, ChatGPT, and Google Gemini, with Claude and ChatGPT showing higher frequency of use. Data indicates approximately 89% of Visa staff are active AI users, among whom 44% qualify as “heavy users”—defined as initiating over 25 requests daily for at least 15 days per month. This trend extends beyond Visa alone. JPMorgan Chase is monitoring employee AI utilization, while IKEA has launched an AI assistant to support creative workflows. Meanwhile, the “showcasing” of massive AI usage continues escalating within the tech sector itself—for example, Meta employees once consumed up to 60 trillion tokens in a single month. Industry experts suggest that as AI becomes foundational infrastructure for productivity, “token consumption” is evolving into a new metric for assessing corporate digital capability, heralding profound transformations in production methodologies.