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

Google plans to end partnership with Scale AI after Meta deal

Google, a subsidiary of Alphabet, plans to end its partnership with Scale AI, its primary data-labeling provider.

This follows Meta’s acquisition of a 49% stake in Scale AI, raising concerns about exposing proprietary information to a competitor.

Google had budgeted around US$200 million for Scale AI’s services in 2025 but is now seeking alternatives.

Scale plays a key role in training models like Gemini, Google’s competitor to ChatGPT.

The move has triggered a wider industry response. Meta’s deal valued Scale AI at US$29 billion, up from US$14 billion, and includes CEO Alexandr Wang moving to Meta.

Other AI firms, Microsoft, OpenAI, and xAI, are also distancing themselves from Scale over data security concerns.

🔗 Source: Reuters


🧠 Food for thought

1️⃣ The commoditization of AI training data has ended

Meta’s 49% stake in Scale AI marks a pivotal shift in how the industry views data labeling, transforming it from a commodity service into a strategic asset.

Scale AI’s valuation doubling from $14 billion to $29 billion through Meta’s investment reflects the escalating value of specialized data annotation capabilities in the AI race 1.

The industry has evolved significantly since Scale’s early days when it was valued at just $1 billion in 2019, with specialized annotations now costing as much as $100 each, particularly those requiring domain expertise from PhDs and other specialists 2.

This price premium exists because high-quality labeled data directly impacts model performance, with Scale having processed over 13 billion annotations and labeled 87 million data points specifically for generative AI applications 3.

Google’s planned $200 million annual spend on Scale’s services demonstrates how critical these specialized data services have become to developing competitive AI systems like Gemini 1.

The reaction of major AI labs to Meta’s stake acquisition shows that data labeling partnerships are now viewed through a competitive lens rather than as neutral vendor relationships.

2️⃣ AI companies face a build-versus-buy dilemma with data operations

Recent Google 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.