"Developing AI models and serving AI apps is a notoriously expensive undertaking. AI labs use massive amounts of computing power, training data, and high-priced talent to create and serve AI models, and the costs are not nearly covered by the chatbot subscription and API fees they bring in. Neither OpenAI nor Anthropic, for example, are profitable, and won't be for some time."
"As AI companies mature, they'll be expected to make returns on all the investment money they've taken. And the prices consumers and businesses pay for AI will almost certainly go up. It fits the model. Silicon Valley's canonical playbook is to sell an app or service cheaply at first to build a large user base, then raise prices and, often, let the customer experience slip."
"Some of the same big VCs that funded these 'growth-at-all-costs' companies are now bankrolling today's AI companies. For example, Khosla Ventures and Sequoia Capital invested in Uber and are now backing both OpenAI and Anthropic, among other AI labs."
Developing and serving AI models requires massive investments in computing power, training data, and specialized talent. Current AI companies like OpenAI and Anthropic are not profitable and depend on venture capital to cover costs that exceed revenue from subscriptions and API fees. As these companies mature, they will face pressure to become profitable and generate returns for investors. Following Silicon Valley's established playbook, AI companies will likely increase prices after building large user bases, similar to how Uber, Netflix, Amazon, and other startups initially subsidized services with venture capital before raising prices significantly. The same venture capital firms that funded previous growth-at-all-costs companies are now backing major AI labs, suggesting similar pricing trajectories ahead.
Read at Fast Company
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