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first_img Viewpoint: The AI application layer should not be priced based on tokens, but should be anchored to "recognizable work value."

a16z partner Sarah Wang recently published an article pointing out that AI application layer products should not price based on tokens like the model layer, but rather on "recognizable work units." The article argues that token pricing anchors the value of application products to a unit whose cost is continuously declining, making it difficult for customers to predict context length, retrieval volume, or reasoning time, and improperly compares applications to raw computing power.The article suggests a tiered pricing model based on value levels: model layer priced by tokens; application layer priced by recognizable work units for customers (such as account research briefs, code modifications, completed queries), which can be encapsulated through Credits; and scenarios that are attributable and have clear value priced directly by results (such as resolved customer service conversations, qualified leads). The design of Credits should map to different levels of work difficulty to protect gross margins and distinguish "work value" from "delivery cost." The article uses Clay as an example, where its new pricing separates Data Credits (third-party data) from Actions (orchestrated work), only passing on costs for reasoning models with significant cost fluctuations without markup. The author believes that pricing anchored to value rather than computing cost allows customers to understand spending in relation to value, while also benefiting product providers in maintaining profit margins.

first_img Bitcoin's 23% rebound drives a surge in mining company stock prices, outperforming AI stocks

According to Cointelegraph, Bitcoin's rebound in August has driven a surge in the stock prices of some previously underperforming mining companies, reversing the market preference that had shifted towards artificial intelligence and high-performance computing (HPC) mining firms. The latest report from BlocksBridge Consulting shows that Bitcoin's approximately 23% increase over the past week has outperformed most AI-related infrastructure stocks.The stock prices of three mining companies, Canaan, American Bitcoin, and Cango, rose between 41% and 67%, while CoreWeave increased by about 21%, Nebius by 17%, and IREN by 15%. Some mining companies with higher exposure to AI and HPC remained flat or declined. BlocksBridge pointed out that the three main catalysts for Bitcoin's rise include: the U.S. Treasury's announcement on August 19 to at least double the liquidity support for long-term Treasury repurchase agreements; a rise in regulatory optimism following a meeting between the White House and crypto executives, with Trump urging Congress to pass the CLARITY Act; and a short squeeze triggered after Bitcoin's breakout, leading to over $1.6 billion in crypto positions being liquidated within 24 hours.Additionally, BlocksBridge's previous analysis found that publicly listed Bitcoin mining companies' investments in AI data centers are about 15 times their AI-related revenue. From 2026 to date, the AI and HPC revenue of nine listed mining companies has reached $341.2 million, while related capital expenditures have amounted to $5.11 billion.
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