I think Anthropic and OpenAI have found product-market fit

Background

Previously, Anthropic and OpenAI offered enterprise plans with significant usage allowances included in the per-seat price, described as enough for a "typical workday." However, starting in late 2025 and solidifying by April 2026, both companies changed their model. Enterprise pricing now consists of a low base fee per seat plus charges for actual API token consumption at standard rates. This change was applied to new and existing customers upon contract renewal.

Key Points

• Pricing Strategy Shift: Both companies have moved from offering heavily discounted, bundled enterprise plans to charging enterprise customers the full public API rate for usage. Anthropic's new plan is $20/seat/month plus API costs, while OpenAI's "credits" system was revealed to be a direct 1:1 match with their API token pricing.
• Evidence of Product-Market Fit: The aggressive pricing shift signals that Anthropic and OpenAI believe they have achieved a sustainable product-market fit. This fit is specifically with their advanced coding and general-purpose agent tools (Claude Code/Cowork and Codex), which generate high-volume, high-value usage.
• Revenue vs. User Base: While consumer products like ChatGPT boast massive user bases (900 million weekly users for OpenAI), converting them into paying subscribers at low monthly rates is insufficient to cover enormous infrastructure costs. Enterprise customers using agents at $200+/month per user provide a much faster path to recouping the multi-trillion-dollar investment in compute infrastructure.
• The Role of Frontier Models: The April 2026 timing is significant as both companies released new, more expensive frontier models (GPT-5.5 at 2x previous API cost, Opus 4.7 at ~1.4x). Locking enterprise customers into these higher API rates amplifies the revenue impact.
• Contrast with Consumer Value: The author notes a stark disparity: as a heavy individual user, subscribing to $100/month plans from each vendor provided over $2,100 in API value. Enterprise customers, assumed to be getting similar bulk discounts, are now faced with costs directly reflecting their high usage.

Significance

• Path to Profitability and IPO: This pricing maneuver is a crucial lever for turning strong technological fit into financial success. It transforms high enterprise usage from a cost center into a primary revenue driver, which is essential for achieving profitability and supporting planned IPOs.
• Funding the AI Infrastructure Race: The strategy is fundamentally tied to the need to fund the immense capital expenditure for AI infrastructure. By aligning enterprise costs with actual usage, the companies ensure their heaviest users contribute proportionally to the system's costs.
• Market Maturation: The move indicates a maturation of the AI market. It suggests the novelty phase of subsidized pricing for enterprises is ending, and a more conventional, usage-based commercial model is emerging, anchored in demonstrable utility for high-stakes applications like software development and automated workflows.