Three US Tech Giants Report Earnings, Reflecting an AI Stock Market That Has Moved Past Selling Dreams to Picking Only Truly Profitable Stocks

Meta Platforms acquired AI startup Stilla.ai on September 9, a move aimed at strengthening its agentic AI capabilities and opening new monetization beyond advertising. The company plans to integrate Stilla.ai's team and technology into Meta Business Agent, which helps businesses interact with customers across its platforms. Longer term, Meta envisions customers using AI agents to inquire about products, discuss pricing, and potentially complete purchases without leaving its ecosystem, creating an AI-driven commerce layer across Facebook, Instagram, Messenger, and WhatsApp. Meta cautioned that Stilla.ai remains a small startup and the deal is unlikely to materially affect revenue or earnings per share in the near term, with infrastructure, product development, and integration needed before meaningful transaction-related revenue emerges. According to the Insider Monkey Database, 254 hedge funds held positions in Meta during the second quarter, down from 262 at the end of the first quarter, while short interest stood at approximately 1.13% of outstanding shares, or roughly 28.81 million shares, as of August 31.

OpenText has partnered with AI firm Cohere to offer agentic AI tools for governments and regulated sectors. The collaboration focuses on trusted deployment of AI agents that work with sensitive enterprise data in tightly controlled environments. Both companies plan to provide customers with flexible implementation options, including private and hybrid setups to meet security requirements. Open Text, a California-based software provider with a market value of about $5.6b, focuses on data management tools that help large organisations handle and govern information across regions where compliance rules for AI and data use are especially tight. The partnership sharpens the AI execution pillar of the Open Text story by connecting the firm's data and compliance layers to a deployable agent platform built for governments and banks, though it also adds integration complexity on top of ongoing restructuring and legacy-to-cloud transitions.

UBS Wealth Management says artificial intelligence is moving beyond text generation into scientific research, opening investment opportunities across AI infrastructure, pharmaceuticals, nuclear fusion, industrial materials and utilities. The shift was highlighted by OpenAI's recent mathematical proof related to the Navier-Stokes equations, a centuries-old fluid dynamics problem and one of seven Millennium Prize Problems, which OpenAI tackled using 10,000 autonomous AI agents working in parallel for 88 hours before formalizing the proof with Lean, a system for machine-checked mathematical validation. In pharmaceuticals, multi-agent AI systems can simulate millions of protein variations in the cloud, and more than 170 AI-designed programs are already in development or clinical evaluation, including Phase III trials. In nuclear fusion, reinforcement-learning systems can predict plasma disruptions around 200 milliseconds before they occur and adjust magnetic coils thousands of times per second, while AI models in materials science can test millions of elemental combinations daily in search of properties for lighter, higher-density batteries, lower-heat computing hardware and potential room-temperature superconductors. The broader investment case centers on AI becoming a tool for automating scientific research rather than simply generating content, with companies exposed to AI infrastructure, pharmaceuticals, industrial materials and utilities positioned to benefit as these technologies move toward commercial applications.