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At the start of the gen AI boom, the scarcest asset seemed obvious: access to the frontier model. Companies rushed to license models such as GPT-4, Claude, and Gemini, hired prompt engineers, and built proprietary copilots. Then a different constraint emerged: access to GPUs, cloud capacity, and data-center space. Now, beneath all of that, a…

When U.S. home appliance brand SharkNinja was acquired by China’s Joyoung, observers may have expected a familiar story: cultural clashes, diluted brand identity, and eventual decline. Instead, SharkNinja accelerated its innovation cycle, adapted products more precisely to local markets such as Japan and the UK, and overtook long‑established competitors. Similar surprises followed when Chinese firms acquired century‑old…

For most of the internet’s history, online advertising has operated on a captive-audience model: consumers sit still while platforms push ads at them. The model has been profitable, but it is increasingly costly for both sides: 70% of consumers find digital ads annoying; most find more than 5 minutes of ads an hour unacceptable; nearly…

Why AI Works Best When It Works with Humans – SPONSOR CONTENT FROM AWS AND EFFECTUAL Skip to content Source: Read Full Article

When a new privacy regulation is announced, the reaction inside most companies is swift and familiar. Legal teams assess exposure, finance teams revise forecasts, and executives prepare for disruption. The market response follows quickly, with stock prices dipping and analysts highlighting rising costs. For many leaders, these early signals feel definitive, reinforcing the belief that…

An HBR Executive Masterclass with Boston Consulting Group partners Julia Dhar and Kristy Ellmer on the five phases of organizational change. May 29, 2026 Most organizational transformations fail—not because leaders lack strategy, but because they misunderstand how people experience change. Source: Read Full Article

Competitive Business Leaders Need Clear AI Vision to Break the Ceiling of Innovation – SPONSOR CONTENT FROM IBM Skip to content Source: Read Full Article

Most companies deploying AI in their supply chains are making a common mistake: They are starting with the technology before understanding their data. They launch pilots, experiment with forecasting tools, and deploy isolated optimization engines—then wonder why almost none of it scales. The problem isn’t the AI. It’s that they skipped the step that makes…

For two decades, software-as-a-service (SaaS) grew by digitizing workflows. Customer relationship management systems recorded sales activity. Field-service platforms scheduled jobs, retrieved customer histories, and fed upsell opportunities back into sales teams. The model created value by taking opaque or messy information and putting it in workers’ hands. Before AI coding tools, few buyers were positioned…