Brands Are Doubling Down On Their Human Authenticity A growing number of brands are prioritizing authenticity by openly rejecting AI-generated content, as consumer skepticism about digital media continues to rise. A recent Gartner study revealed that 68% of people question the authenticity of online content, prompting companies to emphasize their human-made processes to connect with customers who value transparency. This shift reflects a broader trend in marketing, where brands are leveraging their commitment to real-world creativity as a competitive advantage. The strategy of avoiding AI in creative work is gaining traction, particularly among brands targeting audiences that prioritize handmade or organic products. For instance, clothing label Aerie recently released a commercial featuring Pamela Anderson, explicitly stating that its models are not AI-generated. Similarly, diaper brand Coterie has pledged to never use AI-generated images in its marketing, reinforcing trust with parents who seek authenticity in product representation. These efforts highlight how brands are positioning themselves as ethical alternatives in an increasingly digitized marketplace. However, the emphasis on human-made content raises questions about the role of analog experiences in a tech-driven world. As consumers become more aware of AI’s pervasive influence, the demand for tangible, real-world connections is reshaping brand strategies. The Gartner study also noted that 50% of consumers prefer purchasing from brands that use generative AI in their marketing, creating a paradox where transparency about AI usage could both attract and alienate customers. The challenge of distinguishing real content from AI-generated material has become a critical issue for both brands and consumers.#new_york #gartner #pamela_anderson #coterie #ai_disclosure_law
Agentic AI Transforms Manufacturing Supply Chains Amid Global Uncertainty The global supply chain landscape has become increasingly complex and volatile, driven by geopolitical tensions, shifting trade policies, and policy unpredictability at historic levels. According to the United Nations’ 2025 "Trade and Development Foresights" report, these uncertainties have significantly impacted business decisions and investment planning worldwide. Manufacturers now face rising input costs, disrupted logistics, and heightened risks, necessitating innovative solutions to maintain resilience and competitiveness. Agentic AI—artificial intelligence systems capable of reasoning, planning, and acting autonomously—has emerged as a transformative tool to address these challenges. Industry leaders are rapidly adopting agentic AI to automate workflows and enhance supply chain efficiency. A recent study reveals that over half of supply chain executives have already deployed AI agents to streamline operations. Gartner predicts that by 2030, 50% of cross-functional supply chain solutions will rely on intelligent agents to autonomously execute decisions. By 2026, 40% of enterprise applications are expected to integrate task-specific AI agents, up from less than 5% today. These advancements highlight the growing importance of agentic AI in redefining supply chain management. Traditional supply chain processes have long been constrained by human limitations, such as sequential decision-making, manual handoffs, and limited visibility. Agentic AI disrupts this model by enabling autonomous, real-time coordination across suppliers, plants, logistics partners, and planning functions. These systems possess short- and long-term memory, access to diverse tools, and the ability to reason and adapt dynamically.#supply_chain #united_nations #gartner #agentic_ai #inventory_agent
