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Apollo’s chief economist says AI delivers “zero financial return” to U.S. companies outside the tech industry.

Thorsten Sløk, Chief Economist at Apollo Global Management, analyzed the S&P 493 (the S&P 500 excluding seven tech giants) and found that non-tech firms’ profit margins are on par with per-capita revenue, with no evidence that AI has boosted productivity. He noted that AI lacks an understanding of key business factors such as accountability, trust, and corporate culture, and therefore has yet to deliver financial returns.

Why it matters：This view is based on empirical observations of the mainstream listed‑company universe (S&P 493), citing specific data ranges and limitations (excluding seven technology firms such as Alphabet and Amazon), and aligns with the findings of several recent studies, offering a verifiable analytical framework with clearly defined attribution boundaries.

A roundup of the most anticipated AI-powered wearable devices in 2026: over ten new models, including Bee, Friend, Limitless, and more, make their debut.

On October 25, 2026, TechCrunch published a review summarizing more than ten AI-powered wearable devices, including Bee, Friend, Limitless, Muse Charm, Nirva, Omi, Plaud NotePin, Rabbit R1, Stream Ring, and others, covering their pricing, functional positioning, market availability, and privacy controversies.

Why it matters：This report is an annual roundup of new products published by the authoritative tech media outlet TechCrunch on October 25, 2026. It covers both mainstream AI hardware manufacturers and startups, providing a comprehensive overview in terms of price, form factor, core features, release timelines, and points of contention. All statements are based solely on facts explicitly stated in the source material, with no speculation or extrapolation.

Kimi releases K3.1 Pro: Terminal task capabilities top the charts, with simulation debugging and multimodal programming showcasing the nascent form of embodied intelligence.

On October 25, 2026, Kimi released the K3.1 Pro model, which ranked first in the Terminal-Bench 4.0 terminal task benchmark with a 67.2% success rate. Its capabilities—including autonomously fixing emulator errors, performing physics simulations, conducting audio analysis, constructing 3D scenes, and editing videos—point toward exploring pathways in embodied intelligence technology.

Why it matters：The material is based on a hands-on test report published with authorization from Titanium Media, covering authoritative third-party benchmark data (such as Artificial Analysis and Terminal-Bench 4.0), official self-test results, and the author’s multi-scenario functional validation. It highlights the K3.1 Pro’s substantial advancements in execution performance, simulation closed-loop capabilities, and multimodal programming, while clearly noting performance limitations and undisclosed information (e.g., Flash/Ultra has not yet been released), in compliance with fact-checking and source attribution requirements.

NVIDIA launches the Minerva platform: an end-to-end observability AIOps solution for AI factories.

On October 25, 2026, NVIDIA launched Minerva—a purpose-built AIOps observability platform for AI factories that integrates telemetry data from infrastructure and AI workloads, leveraging custom AI models to enable anomaly detection, root-cause analysis, fault prediction, and natural-language‑based interactive operations.

Nirva raises $33 million to launch an AI pendant that recognizes only the wearer’s voice.

Nirva announced the completion of a $25 million pre-Series A funding round, bringing its total funding to $33 million. Its first product is a lightweight AI pendant priced at $249, which can be worn as a necklace or bracelet. Pre-orders are scheduled to begin in November 2026, with shipments to early adopters expected by the end of the year.

NVIDIA drives the transformation of Europe’s retail sector: Open models and physical intelligence are being implemented in e-commerce, warehousing, and virtual try-on.

European retailers are leveraging NVIDIA-accelerated open large models and physics‑AI technologies to achieve large‑scale deployment across scenarios such as digital product discovery, intelligent warehouse simulation, virtual try‑on, and accelerated R&D. Companies including Shopify, Zooplus, L’Oréal, and the Otto Group have used tools like the Nemotron series of models, Omniverse digital twins, and ALCHEMI molecular simulations to significantly reduce inference costs, improve search accuracy, shorten R&D cycles, and validate improvements in conversion rates and sales growth.