Tired of ads? Enjoy an ad-free experience by signing up.
👩‍🍳 How we use AI at Tech in Asia, thoughtfully and responsibly.
🧔‍♂️ A friendly human may check it before it goes live. More news here

Snowflake, OpenAI ink $200m AI partnership

Snowflake and OpenAI have announced a multi-year, US$200 million partnership to integrate OpenAI’s models into Snowflake’s data platform.

The collaboration allows enterprise customers to use OpenAI models, such as GPT-5.2, within Snowflake’s environment to develop AI applications and generate insights from their data.

Customers can leverage tools like Snowflake Cortex AI and Snowflake Intelligence to build AI agents and ask natural-language questions without coding.

This integration enables organizations across industries, including finance, healthcare, and retail, to deploy AI more quickly and at scale.

Snowflake and OpenAI plan to develop new features using APIs and SDKs to enhance enterprise workflows.

🔗 Source: OpenAI

🧠 Food for thought

Implications, context, and why it matters.

The partnership keeps more work inside Snowflake

  • The collaboration targets Snowflake’s “data egress” issue, when enterprise customers pull data out of Snowflake to run it through AI models hosted elsewhere 1.
  • With OpenAI models built in, Snowflake wants to run AI near the data, so AI jobs and usage-based spend stay on its platform instead of moving to other vendors 1.
  • OpenAI gains reach through Snowflake’s 12,600 customers, plus a place to plug models into systems where enterprises already manage and govern critical data, which can reduce setup work compared with one-off deployments 2.

Ease of use and governance come with tradeoffs

  • The integration links the data platform layer with AI features, letting business employees use Snowflake Cortex AI and Snowflake Intelligence to query and act on enterprise data with natural language prompts, without coding 2.
  • Some commentary flags vendor lock-in risk, since AI agents built around OpenAI models inside Snowflake may be harder to move to other model providers over time 1.
  • Other commentary raises reliability concerns, because large language models can hallucinate and produce wrong output with confidence, which can cause costly mistakes when agents take actions unless results and actions get validation plus governance 1.

Recent Snowflake developments

Stay ahead in Asia’s tech landscape

You've reached your 2 free content limit for the month. Sign up for free to read the full story.

🏄 For casual readers / 👶 Free

Basic

US$0

Free forever

Get instant access to this article and more every month

0 premium content

Unlimited news briefs

5

5 articles

Ad-free reading experience

Just US$0 per day

⌛Sign up in 20s. No payment details needed.

📖 For learners / 👍 Starter

Lite

US$4.92/month

Billed annually at US$59/year

Get instant access to this article and more every month

4

4 premium content

Unlimited news briefs & articles

Ad-free reading experience

Just US$0.17 per day

Cancel anytime

Our subscriber community includes professionals from these companies:

Stay updated on the go with our mobile app.

Get latest insights with smoother, more personalized experience through TIA mobile app.