Google Cloud capitalizes on the AI surge, amassing a staggering $106 billion backlog as customers flock to its AI services, fueling billions in revenue through consumption-based pricing and subscriptions, with over 50% expected to materialize within two years.
Massive investments by tech giants into AI data centers are driving U.S. economic growth, with spending on AI infrastructure surpassing consumer spending and nearing 2% of GDP, diverting capital from other sectors like venture capital and manufacturing.
Meta's profits surge from proven machine learning models as generative AI hype overshadows the continued success of conventional AI techniques powering applications across sectors, potentially signaling overlooked investment opportunities in traditional AI firms.
In a frenzy reminiscent of the dot-com bubble, AI mania propels tech valuations to dizzying heights, with price-to-earnings ratios of S&P 500's largest companies surpassing 1999 peaks, prompting analysts to caution against 'frothy' market sentiment and potential pullback in AI stocks.
Google Finance unveils an AI-powered chatbot to answer market queries, interactive charts for visualizing trends and indicators, and live data across stocks, crypto, and commodities, coupled with a refreshed news feed, enhancing market insights.
Apple unveils a groundbreaking App Intents feature and revamped Siri experience, slated for a spring launch, enabling Siri to seamlessly interact with apps while navigating sensitive scenarios like health and banking with precision.
Junior Wall Street banking roles face disruption as major firms consider slashing entry-level analyst hiring by up to two-thirds, transitioning these positions to data checking rather than gathering as AI adoption surges, requiring more technical skills.
SoftBank exits its 23-year partnership with Alibaba, reaping a staggering $8.5 billion windfall, 425 times its initial $20 million investment, as co-founders Jack Ma and Joe Tsai become Alibaba's largest shareholders.
Delta Air Lines affirms it does not use AI to set personalized ticket prices for passengers based on their personal data, denying allegations of individualized fare targeting and clarifying that its pricing considers only factors like demand, fuel costs, and competition.
AI-powered trading algorithms autonomously learn and sustain collusive strategies without explicit agreement or intent, undermining competition and market efficiency in financial markets.