Tech in 60: Trends You Need Now

Artificial intelligence is no longer just a buzzword; it is becoming the fabric of how work gets done. Deloitte’s latest Tech Trends report says leading organizations are shifting from experimenting with generative AI to scaling it across entire workflows, creating what they call a hybrid human and silicon workforce. According to Deloitte, AI-enabled robots and “physical AI” are moving from labs into warehouses, hospitals, and city streets, reshaping everyday operations.

Amazon is a clear signal of this shift. Deloitte highlights that Amazon has now deployed over one million robots, coordinated by its DeepFleet AI system, which improves warehouse travel efficiency by around ten percent. At BMW factories, cars drive themselves along kilometer-long production routes, showing how intelligence is leaving screens and stepping into the physical world.

Infrastructure is racing to keep up. Stanford University reports a major breakthrough in monolithic 3D chips developed with partners including MIT and SkyWater Technology, delivering some of the densest 3D wiring yet and the potential for order-of-magnitude speed gains for AI workloads. IBM Research has similarly unveiled an analog AI chip designed for ultra-efficient deep learning, signaling a new era of specialized hardware tuned for neural networks.

Meanwhile, researchers at the Champalimaud Foundation have just presented EVNets, “early vision networks” inspired by primate vision, at the NeurIPS conference. This biologically inspired model aims to “see” more like humans do, improving robustness in object recognition and pointing to the next wave of brain-like AI systems.

On the business side, Foundernest’s 2025 Emerging Technology Landscape report finds innovation teams hunting for AI agents that can run entire workflows, from technology scouting to M&A signal detection. These agents are becoming core infrastructure, while automation in physical industries—like oil and gas, rural infrastructure, and solar farms—shifts from isolated robots to layered ecosystems of sensors, control systems, and AI optimization.

All of this sits against a backdrop of energy and regulatory pressure. eMarketer notes that as AI heads into 2026, energy bottlenecks, intense regulation debates, and a reality check on overhyped promises will shape which technologies truly endure.

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