Macro
Search catalysts, news stories, and pressures, or browse the trust-weighted news feed below.
month values ▾
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|
| +0.10 | +0.15 | -0.10 | +0.10 | +0.43 | +0.53 | +0.40 | +0.20 | +0.61 | +0.30 | +0.14 | +0.40 |
The tech sector turned positive this month, buoyed by Arm’s 25% surge in the year’s largest IPO, which signaled renewed investor appetite for high-profile tech listings. This momentum helped reopen the public markets for tech, lifting sentiment across the sector. While macro conditions remained a backdrop, the Arm debut was the decisive event driving the +0.30 read.
How this mood is scored ▾
Microsoft launched a revamped Bing search engine powered by OpenAI's GPT-4, offering a ChatGPT-like experience with real-time data and AI-generated answers. The move targets Google's dominance in search, with implications for digital advertising and online publishers, as AI may reduce reliance on traditional link-based results. Microsoft plans to monetize through selective ads while enhancing user productivity and safety via its 'Prometheus' model.
Nvidia reported strong Q1 earnings, beating expectations with $7.19B revenue and guiding to $11B in Q2 due to booming AI-driven demand for its data center chips. The stock jumped 24% after hours as CEO Jensen Huang emphasized supply increases for H100 and related products. The AI boom continues to widen Nvidia's market lead, though professional visualization and broader IT spending pressures remain headwinds.
Nvidia's stock jumped 26% after reporting strong earnings and a upward forecast, driven by surging demand for AI chips from cloud and consumer internet companies. Despite a drop in gaming revenue, data center sales exceeded expectations, highlighting Nvidia's pivotal role in the AI infrastructure market and signaling strong growth potential for AI-related semiconductor demand.
The Biden administration is expanding export restrictions on advanced AI chips and chipmaking tools from companies like Nvidia to China, aiming to limit military and AI advancements. The move targets Chinese firms and closes loopholes from prior 2022 rules, requiring licenses for sales to embargoed countries. These controls may impact US semiconductor revenues but are framed as essential for national security, despite industry concerns over long-term competitiveness.
A study by Alex de Vries in Joule highlights that widespread AI adoption could lead to an energy footprint rivaling the annual electricity consumption of countries like Ireland or the Netherlands. Training and running AI models, such as ChatGPT and Google's AI-powered services, demand significant computing power and electricity, with projections showing AI could consume 85 to 134 TWh annually by 2027. This surge raises concerns about sustainability and the need for mindful AI deployment despite efficiency improvements.