Nvidia Projects $1 Trillion in AI Chip Sales at GTC 2026
At Nvidia's GTC conference this week, CEO Jensen Huang delivered a two-and-a-half-hour keynote in which he projected $1 trillion in AI chip sales through 2027, according to TechCrunch. Huang also declared that every company needs an "OpenClaw strategy" — a reference to Nvidia's NemoClaw platform — positioning it as a foundational component of enterprise AI infrastructure going forward.
The keynote also featured a demonstration involving a robot named Olaf, which TechCrunch reports had its microphone cut during what was described as a rambling segment near the close of the presentation. The conference underscored Nvidia's continued push to cement its role at the center of the AI hardware and software ecosystem.
Microsoft Scales Back Copilot Entry Points on Windows
Microsoft is rolling back some of its Copilot AI integrations on Windows, TechCrunch reports. The company is reducing the number of Copilot entry points across several built-in applications, including Photos, Widgets, and Notepad, among others.
The move signals a recalibration in how Microsoft surfaces AI features within its operating system, following a period of broad Copilot expansion across its product lineup. No further details were provided regarding the timeline or scope of additional rollbacks.
WordPress.com Introduces AI Agents for Publishing
WordPress.com has launched new AI agent capabilities that allow automated systems to write and publish blog posts on behalf of users, according to TechCrunch. The update is described as lowering barriers to content publishing on the platform.
TechCrunch notes that the feature is also expected to increase the volume of machine-generated content across the web — a development that reflects a broader industry trend of AI agents taking on end-to-end content workflows. The announcement represents one of the more significant expansions of autonomous AI publishing tools on a major blogging platform to date.
Energy Tech Emerges as a Key Area for AI Investment
Power infrastructure has become one of the primary bottlenecks in deploying new AI data centers, according to a TechCrunch analysis published this week. The report highlights that this constraint is creating a significant opening for investors focused on energy technology.
As demand for compute capacity continues to grow alongside AI workloads, the ability to reliably and efficiently power large-scale data centers is increasingly viewed as a critical dependency. TechCrunch notes that energy tech is emerging as a compelling adjacent investment category within the broader AI sector.
This week's developments reflect a range of shifts across the AI industry — from hardware and infrastructure to software integrations and content platforms — as companies and investors continue to adapt to the pace of AI adoption.