OpenAI, Anthropic, and Google are racing to lock in startups with credits worth millions

Some early-stage startups are now receiving AI computing credit packages that exceed $3 million combined from multiple providers, a sum the Wall Street Journal reported this week matches the median U.S. seed round, according to PitchBook data. The figure signals how aggressively OpenAI, Anthropic, Google Cloud, Microsoft, and Amazon Web Services are competing for early enterprise relationships.

The mechanics are straightforward. AI model providers extend cloud computing credits and token allowances to startups before those companies have committed to a platform. The hope is that a startup which builds its core product on a given provider's APIs and infrastructure will stick around as it scales, converting a subsidized relationship into a paying one.

What each provider is putting on the table

Google Cloud's offer is among the more structured ones. The Wall Street Journal reported that Google Cloud is making available up to $500,000 in cloud credits for select startups, alongside early access to its Gemini models. Google also occasionally provides access to DeepMind engineers, according to a company spokesman cited in the report. Microsoft and Amazon Web Services are offering comparable startup perks, though their specific credit tiers were not detailed in the same report.

OpenAI and Anthropic are running promotions and one-time bonuses even as both companies face pressure to improve margins ahead of expected IPOs, per the Wall Street Journal. That tension matters for enterprise buyers evaluating these vendors: the same platforms extending generous credits to startups are also under financial scrutiny, which shapes how sustainable those pricing structures are over time.

Cursor, the AI coding tool acquired by SpaceX, was recently offering a 75% discount, the Journal noted, illustrating how the competition has extended beyond the largest hyperscalers into specialized tooling providers.

The leverage this creates for buyers

For procurement and vendor management teams at larger enterprises, the startup credit war is a useful data point. If providers are willing to extend seven-figure credit packages to pre-revenue companies to win long-term business, the same competitive pressure applies to mid-market and enterprise accounts. Founders interviewed by the Wall Street Journal said they have been actively playing providers against one another to extract better terms.

That dynamic also raises a structural question for any team currently locked into a single AI vendor. The volume of competing offers suggests that switching costs, while real, are not prohibitive enough to stop providers from pursuing each other's potential customers aggressively. Enterprise teams that have not recently benchmarked their AI contract terms against competing offers may be leaving credits, rate concessions, or early model access on the table.

Lock-in is the long game

The underlying strategic logic for providers is familiar from cloud infrastructure: win early, embed deeply, and convert subsidized usage into durable revenue. AI token consumption, like cloud compute, tends to grow with the business. A startup that processes thousands of API calls per month today may process millions in two years, and by then the cost of migrating to a competing model is far higher than at inception.

Open-weight models and lower-cost alternatives, many developed outside the U.S., are adding pressure on the major providers to retain customers before those alternatives mature further, the Wall Street Journal reported. That pressure is part of why the credit offers are as rich as they are right now.

What this means for your team

• Audit current AI vendor contracts against the credit and discount structures being offered to new customers. If your organization has been with a provider for more than 12 months without renegotiating, request a terms review.
• Before committing to a single AI platform for a new internal project or product build, solicit competing offers from at least two providers. The Journal's reporting confirms providers will negotiate aggressively to win new workloads.
• Assess architectural lock-in for any AI-dependent workflow. Understand which components are model-agnostic and which are tightly coupled to a specific provider's API, so your team knows the real cost of switching if terms change post-credit period.
• Factor provider IPO timelines into vendor risk assessments. Both OpenAI and Anthropic are moving toward public markets, per the Wall Street Journal, and pricing structures may shift as each company prioritizes margin improvement.