Used AWS Activate? Google Cloud may still be worth checking if the workload fits.

Using AWS Activate does not automatically mean Google Cloud is closed to you. It also does not mean Google Cloud credits are easy.

The real question is whether there is a credible Google Cloud case after AWS Activate:

• Is there a real reason to use Google Cloud?
• Is the startup still within the right stage and age range?
• Has the company already received Google Cloud credits?
• Is there AI, data, Firebase, BigQuery, migration, or customer-deployment work that fits Google Cloud?
• Is the company looking for a technical path or only chasing another free-credit balance?

If the answer is specific, a review may be worth running. If the answer is "we used AWS and now want free money somewhere else," the case is weak.

TL;DR

• AWS Activate history does not automatically block a Google Cloud path.
• Google Cloud fit depends on stage, workload, prior Google credits, and usage case.
• AI-first startups can have a stronger Google Cloud story when Vertex AI, Gemini, GPUs, or data workloads are relevant.
• A provider-switch request should be framed around workload, migration, or growth, not credit shopping.
• If the startup has no reason to use Google Cloud, look at AWS post-Activate paths or discounts instead.

Start with the reason for Google Cloud

A credible Google Cloud review needs a real technical or business reason.

Good reasons include:

• AI product using or planning to use Vertex AI, Gemini, GPUs, or inference.
• Firebase or Google Cloud-native architecture.
• BigQuery, Looker, analytics, or data platform needs.
• Migration from AWS to Google Cloud for cost, architecture, customers, or product reasons.
• Customer requirement or enterprise deployment that points to Google Cloud.
• Project funding or funded professional support tied to a specific workload.

Weak reasons:

• "AWS credits are gone."
• "We want another provider to pay the bill."
• "We do not know if we will use Google Cloud."
• "We just need credits and can migrate later."

What AWS Activate history can show

AWS Activate usage can actually help if it proves real cloud need.

Useful evidence:

• Gross AWS usage while credits were active.
• Services used and monthly run-rate.
• Customer launches or production workloads.
• AI, data, or infrastructure spend.
• What will change if the startup adds Google Cloud.

If you used AWS credits responsibly and now have a real Google Cloud workload, that is a better story than having no usage at all.

What a partner can actually do after AWS Activate

After AWS Activate, the question is usually not "which form do we fill?" It is whether there is a real next case.

A partner can help answer:

• Should you stay with AWS and ask about post-Activate support, discounts, or funded work?
• Is there a real Google Cloud workload, or are you just shopping for another credit balance?
• Does your AWS usage prove enough cloud demand to make a Google Cloud conversation credible?
• Is there a migration, AI, data, or customer-deployment reason that changes the case?
• Is the ask credits, project funding, funded implementation, or payment terms?

The initial review should not cost the startup money. If there is a real provider opportunity, the partner may be paid through provider-side economics such as resale margin, partner incentives, or funded work. If there is no real Google Cloud reason, there is not much to negotiate.

The Google Cloud AI angle

Google's public AI startup program describes up to $350,000 in Google Cloud credits over two years for qualifying AI-first startups. Its stated eligibility includes things like qualifying VC funding from seed to Series A, being founded within the last 10 years, and using or planning to use Vertex AI or Gemini as part of the core product or solution.

That matters because it gives AI startups a clearer way to frame the request:

• We are not just switching providers for credits.
• We have a specific AI workload where Google Cloud is relevant.
• We have projected usage and a product roadmap.
• We can show funding, customer traction, or launch timing.

Decision table

Questions to answer before applying

Before asking anyone to review a Google Cloud path, answer:

1. What AWS credits did you receive?
2. How much of those credits did you use?
3. What is your current monthly gross AWS spend?
4. Have you ever received Google Cloud credits?
5. Why is Google Cloud technically relevant now?
6. What workload would move or launch on Google Cloud?
7. What usage do you expect over the next 6-12 months?
8. What funding, customer, or product milestone supports the case?

How to position the request

Weak:

We used AWS Activate and want Google Cloud credits now.

Stronger:

We used AWS Activate to build the first version. We now have a Google Cloud-specific AI/data project with expected usage growth, and we want to check whether credits, discounts, project funding, or funded implementation help are realistic.

That framing gives a partner something to evaluate.

If Google Cloud is not the right fit

If there is no Google Cloud workload, do not force it. Check:

• AWS post-Activate options.
• Startup cloud discounts.
• Payment terms.
• Funded cloud professional services.
• Architecture optimization.
• Migration funding only if a real migration exists.

Credits should follow a credible cloud plan, not replace it.

Sources

• AWS Activate application guide: https://aws.amazon.com/startups/learn/applying-for-aws-activate-credits-a-step-by-step-guide
• AWS Activate credits: https://aws.amazon.com/startups/credits
• Google Cloud Startups: https://cloud.google.com/startup
• Google Cloud AI Startup Program: https://cloud.google.com/startup/ai
• AWS Partner funding benefits: https://aws.amazon.com/partners/funding/
• Google Cloud Partner Network: https://partners.cloud.google.com/
• Google Cloud Partner Advantage momentum: https://cloud.google.com/blog/topics/partners/google-cloud-partner-advantage-momentum