AIFuture
Back to news
IndustryThe Decoder·

Goldman Sachs expects Big Tech to spend $1.2 trillion on AI infrastructure by 2027, dwarfing Wall Street estimates

Goldman Sachs expects Big Tech to spend $1.2 trillion on AI infrastructure by 2027, dwarfing Wall Street estimates

Goldman Sachs projects that Amazon, Alphabet, Microsoft, Oracle, and Meta will pour a combined $1.2 trillion into AI infrastructure in 2027, more than 50 percent above this year's levels. Measured against GDP, it would be the biggest investment cycle since railroad construction in the 19th century. Bottlenecks in power, labor, and memory chips could slow the pace, though. The article Goldman…

This is a summary curated by AIFuture. Read the complete article at the original source:

Read the full story on The Decoder

More AI News

AI ResearchMarkTechPost

How to Make Zero-Training Tabular Predictions with NVIDIA Structured Data Models

In this tutorial, we implement Structured Data Models, NVIDIA’s new library that puts several pretrained foundation models for tables behind one PyTorch interface, and use it to make predictions without training. The library wraps TabICLv2 and KumoTabular for single tables and KumoRelational for whole relational databases, and each of them answers by in-context learning: we […] The post How to…

Oct 18, 2026

StartupsMarkTechPost

Meet Voxel51 3.0: A Unified Multimodal Data Platform for Physical AI

Voxel51 3.0 merges search, curation, annotation and evaluation of multimodal sensor data into one platform for physical AI teams. It adds Voxel51 Agent with 45+ MCP tools, dataset versioning, and a free self-service tier. The post Meet Voxel51 3.0: A Unified Multimodal Data Platform for Physical AI appeared first on MarkTechPost.

Oct 18, 2026

StartupsTechCrunch

Meta removes language that raised scraping and AI training concerns

A Meta spokesperson insisted that the updated terms did not reflect a change in the way Meta crawls the web.

Oct 17, 2026

Build the skills behind the headlines

Data ScienceCoursera

Machine Learning Specialization

Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.

Beginner·Subscription
View Course
Generative AICoursera

Generative AI for Everyone

Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.

Beginner·Subscription
View Course
Data ScienceedX

CS50's Introduction to AI with Python

Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.

Intermediate·Free / Verified
View Course

Never miss what matters in AI

Get the most important AI news and course picks in your inbox.