Humanoids, Tariffs & Targeting: Where AI Meets Industry

Inside the AI Transformation of Parts, People & Processes

Each week, we spotlight the AI news that matters most to industrial and distribution operators - from major tech shifts to real-world developments that impact how business gets done.

Our newsletter delivers timely, relevant insights to help you stay informed, make smarter decisions, and understand where AI is creating opportunity, risk, and real operational change.

Weekly Updates: How AI Is Reshaping Distribution

Tariffs Rattle Supply Chains & Push Companies to Diversify.

Tariffs on Chinese imports have increased costs for U.S. distributors and manufacturers, prompting many to seek alternative suppliers and renegotiate contracts to manage ongoing supply chain disruptions. The tariffs are causing shipment delays and forcing adjustments in pricing strategies to protect margins. Companies that adapt quickly and leverage AI for smarter inventory and pricing will be best positioned in these uncertain times. Read Full Article

Meta Aims to Fully Automate Ad Creation Using AI

Meta plans to let brands create and target ads fully with AI by the end of 2026. The company’s AI tools will enable brands to submit a product image, budget, and generate all creative assets and optimize targeting across Facebook and Instagram. This will make it easier for businesses - including B2B - to reach relevant buyers with less manual effort and focus on engagement and outcomes. Read Full Article

Amazon to Pilot Humanoid Delivery Robots

Amazon is piloting humanoid robots to deliver packages from its electric vans directly to customers’ doors in San Francisco. This initiative aims to boost efficiency, but experts note that challenges like navigating residential environments must be solved before full rollout is possible. Read Full Article

Spotlight: InstaLILY CEO & Founder Amit on Responsible AI

In the latest article in the series “Big Idea: Responsible AI,” Amit was among a panel of global experts discussing how explainability and human oversight must work hand in hand to ensure accountability, transparency, and trust in AI systems. While most experts see these as mutually reinforcing, Amit argues robust oversight mechanisms, like empirical audits and human override authority can sometimes offer stronger safeguards than insisting every model decision be fully explainable - especially as AI systems become more complex. Read Full Article