
Inference-Time Compute Is Redrawing the Economics of Enterprise AI
As reasoning models and AI agents spend more tokens after training, enterprise AI strategy is shifting from model selection to inference efficiency, orchestration, and cost control.
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As reasoning models and AI agents spend more tokens after training, enterprise AI strategy is shifting from model selection to inference efficiency, orchestration, and cost control.

In 2026, humanoid robots are moving from sci-fi to the factory floor. This is a look at their real-world applications, the technology driving their adoption, and the challenges that still lie ahead.

A deep dive into the technology that's powering the next generation of solar energy.





Non-human identities are multiplying faster than most security programs can track, and AI agents are accelerating the problem. Enterprises that still treat service accounts, API keys, and autonomous agents as secondary IAM concerns are leaving a rapidly expanding attack surface under-governed.

Wireless earbuds are no longer just for music and calls. As features like conversation enhancement, hearing checks, adaptive amplification, and live captions spread, they are becoming mainstream hearing-tech gadgets that sit between accessibility tools, wellness devices, and consumer audio.

Institutional adoption in crypto is moving beyond simple custody and ETF exposure. Regulated DeFi, built around permissioned pools, compliant wallets, attestations, and automated reporting, is emerging as the operational bridge that allows capital to enter on programmable terms instead of speculative ones.

High Bandwidth Memory has moved from a premium feature to the central constraint in AI infrastructure. It now shapes accelerator performance, package design, supply chains, rack power, and what buyers can realistically deploy.

Enterprises are discovering that the hardest part of scaling copilots and agents is not choosing a single model, but governing how many models are selected, combined, and constrained across real workflows. Model routing is emerging as the control plane that makes AI systems reliable, economical, and adaptable.