AI spending per employee dips at top firms, signaling possible adoption slowdown
Ramp's data from 70,000 companies shows that 56% of customers paid for AI products in August, a rise of only 0.4% from July, indicating slowing adoption. Among the top 1% of firms, AI spend per employee fell nearly 10% to $7,205, partly due to falling token costs, which dropped to $0.68 per million from a peak of $1.15 in March. The slowdown may be seasonal, but it raises concerns for hyperscalers that rely on growing token volume to recoup infrastructure investments.
Ramp's survey of 70,000 companies reveals a stark contrast with a US Census Bureau poll, where only 22% of businesses report AI usage, indicating Ramp's clientele skews heavily tech-focused. The August stagnation mirrors a similar plateau observed last year between August and October before activity rebounded.
The dip in per-employee spending at top firms aligns with declining token prices, which fell from a March peak of $1.15 to $0.68 per million. Customers are gravitating toward cheaper, older models, and only 6.4% utilize inference platforms, prompting labs to target non-technical users.
A sustained slowdown in enterprise AI adoption could pressure hyperscalers and frontier labs that rely on growing token volume to justify massive infrastructure investments. If spending stagnates, these firms may face difficulty recouping costs, potentially slowing innovation or leading to workforce adjustments. Conversely, falling prices could make AI tools more accessible to smaller businesses, broadening usage. This dynamic may ultimately reshape market expectations, benefiting cost-conscious consumers while challenging vendors' growth projections.