Token counts, the primary metric for AI usage, may significantly inflate actual adoption levels. This discrepancy suggests that explosive growth figures mask a slower transition to practical utility. CNBC reports that these metrics often fail to reflect real-world value. Analysts must now distinguish between raw data throughput and genuine enterprise productivity.