The World Economic Forum’s Top 10 Emerging Technologies of 2026 points to a future shaped by technologies that are more personal, distributed and materially efficient. From mRNA cancer vaccines and exosome drug delivery to everything-to-grid energy, precision fermentation, world models and quantum-safe cryptography, the report highlights systems moving from scientific promise toward practical consequence. The central challenge is whether institutions can build the trust, access, regulation and infrastructure needed for these technologies to scale well.

Space is becoming an industrial infrastructure, thanks to falling launch costs and increasing commercial investment. This edition of Industry Signals covers the engineering tools helping space startups scale, the commercial markets now outspending governments across most of the space economy, the $263 billion in Earth observation value that remains unrealized, and the coming together of satellite and mobile networks that is turning into connectivity industries can rely on almost anywhere.

Siemens recently launched the SIGA (Solution for Industrial Greenhouse Automation) platform, integrating their industrial control systems with specialized greenhouse horticulture to optimize climate control, irrigation, and energy use.

Models show that roughly 90% of industrial energy demand could be electrified. This edition takes a look at the latest research about equipment realities, strategic scenarios and policy conditions.

If 90% of operational truth lives in documents that AI cannot read, how do manufacturers move from insight to action? This AI Manufacturing Day 2026 panel tackled the brownfield reality: plants never designed for AI, critical data trapped in unstructured formats, and why 60% of agentic AI projects are projected to be abandoned this year. Hamish Mackenzie (IIoT World) moderated a discussion with Chris Huff and Anthony Vigliotti (Adlib Software) and Mathias Oppelt (Siemens). The panel dissected where AI stalls in industrial environments and what it takes to build a trust layer for agentic workflows. Mathias Oppelt explained why general purpose AI falls short in industrial settings. Large language models trained to generate plausible text are not sufficient for industry, where reliability must be proven and a wrong answer can cause physical harm. Industrial AI must speak the language of engineers: understanding drawings, simulation models, and technical context beyond words. He shared a recent example where an 86-year-old engineer had to be hired back to resolve a line shutdown that cost $1.5 million over four weeks, because no current staff had the legacy system knowledge. Chris Huff outlined the shift from systems of insight to systems of action. Agentic AI is real today for high-volume, lower-stakes work like procurement, contract review, and supplier onboarding. It is not yet real for high-stakes, low-volume decisions where a wrong answer means a recall or safety event. He identified three places where pilots consistently stall: ingestion of messy multi-format documents, validation and traceability back to source, and integration into PLM, ERP, and QMS systems. Anthony Vigliotti proposed treating manufacturing documents as evidence, applying standards of relevance, reliability, authenticity, and chain of custody. He highlighted a problem many overlook: AI systems forced to clip relevant information due to context window overruns, leading to incomplete outputs that drive real operational consequences when acting on those outputs. This session was sponsored by Adlib Software. Editorially independent.

Behind the headlines and policy debates, a wave of technical advances — from additive manufacturing to a surprising stainless steel alloy — is steadily expanding what clean hydrogen can do.

Before David Erhard was building communities for one of the world's largest industrial companies, he was doing it for EA Sports and FIFA. His path from Nuremberg to the gaming industry and back again turns out to be surprisingly relevant, and it shapes how he thinks about everything SXC is trying to do.

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