Artificial Intelligence

Next week marks a busy earnings season with over 150 S&P 500 companies reporting, especially tech giants like Alphabet, Amazon, Apple, Meta, and Microsoft. Key companies to watch include Corning (strength in optical communication), Boeing (737 Max production ramp-up), Starbucks (turnaround strategy progress), Bristol Myers Squibb (drug trial updates), Eli Lilly (GLP-1 drug viability), Linde (stability). Amazon needs to show AWS revenue acceleration, while Apple’s iPhone demand and services growth are in focus.

Intel reported a profitable third quarter, ending a six-quarter loss streak, driven by robust chip demand and U.S. government investment. Client computing revenue grew 5%, boosted by a stabilizing PC market and AI-enabled PCs. CEO Tan emphasized AI’s strategic importance. While the foundry business needs improvement, Intel is focused on advanced manufacturing and new AI-centric solutions. Legacy products also saw unexpected demand. CFO Zinser highlighted improved cash position and plans for deploying advanced nodes based on firm demand.

Meta is reducing its risk organization workforce, shifting towards AI-driven automation for compliance reviews. This follows a $5 billion FTC fine and aligns with broader workforce adjustments, including layoffs in the Superintelligence Labs AI unit. Meta emphasizes that AI aims to streamline processes and augment human capabilities, not replace judgment. The company says AI will automate applying rules and not make the decision on risk itself. This move mirrors similar strategies at companies like JPMorgan and Salesforce, raising questions about AI’s impact on the job market.

Apple has begun shipping AI-focused servers manufactured at its Houston, Texas facility, marking a significant step in its $600 billion U.S. investment. These servers, powered by Apple’s silicon, will support Apple Intelligence and Private Cloud Compute services. The move aims to bolster domestic production, create jobs, and enable closer hardware-software integration for accelerated AI innovation. This initiative reflects a strategic shift towards controlling its supply chain and responding to the increasing demands of AI workloads.

Microsoft AI CEO Mustafa Suleyman declared the company will not develop “simulated erotica” AI services, diverging from partner OpenAI, which is exploring such applications. Suleyman emphasized the dangers of AI intended for intimate interaction, citing ethical concerns about “seemingly conscious” AI and potential social divisions. This decision reflects a broader strategic difference, with Microsoft prioritizing ethical considerations and user well-being over potentially problematic AI applications, while OpenAI explores the boundaries of AI. OpenAI and xAI (Elon Musk’s company) offered contrasting responses when asked for comment.

CrowdStrike CEO George Kurtz refutes the idea that AI will replace cloud software, arguing they are interconnected. He believes agentic AI will accelerate SaaS adoption as providers integrate AI to enhance their offerings. CrowdStrike’s AI-powered Falcon platform benefits from this trend, protecting both its own services and other SaaS providers like Salesforce. The market reflects this confidence, with CrowdStrike’s stock surging and outperforming the cybersecurity sector, indicating strong investor belief in the company’s AI-driven cloud security strategy.

IBM reported a strong Q3, exceeding expectations with adjusted EPS of $2.65 and revenue of $16.33 billion. Revenue grew 9% year-over-year, driven by AI traction, with AI-related bookings surpassing $9.5 billion. IBM raised its full-year revenue growth forecast to “more than” 5% and free cash flow to $14 billion. Software and Consulting revenues also performed well, with Infrastructure experiencing a significant increase. Despite the positive results, shares dipped in after-hours trading.

Major companies like JPMorgan Chase, Goldman Sachs, Ford, and Salesforce are actively integrating AI to streamline operations, potentially leading to workforce reductions. Goldman Sachs estimates 6-7% of US workers could be displaced, while others project significant job creation in AI-related fields. Executives emphasize AI’s potential to automate tasks across various sectors, impacting roles from customer service to software development. While some data suggests a minimal immediate impact, the long-term effects on the labor market are expected to be substantial, requiring proactive workforce preparation.

Meta is restructuring its AI division, laying off approximately 600 employees. This aims to improve operational agility amid fierce competition with companies like OpenAI and Google. Despite the layoffs, Meta continues to invest heavily in AI infrastructure, including the $27 billion “Hyperion” data center. The move may signal a focus shift towards commercially viable AI applications and a prioritization of applied AI research. The restructuring’s success will impact Meta’s long-term AI competitiveness and metaverse ambitions.

Airbnb CEO Brian Chesky plans to integrate AI, including ChatGPT-like features, but cites current technological limitations. While a full implementation timeline is unclear, Airbnb aims to leverage AI for enhanced user experience and personalized recommendations, exploring diverse models like Alibaba’s Qwen. This follows updates with new social features and chatbot improvements. Chesky emphasizes collaboration in the nascent AI landscape, suggesting partnerships are crucial for innovation and specialization. Airbnb’s careful approach reflects the travel industry’s broader consideration of data privacy, accuracy, and user experience in AI implementation.