Gen Z creators are staging a quiet revolt against TikTok's new American owners by installing an alternative app, while a $30 billion defense tech startup is offering a fast-track to high-paying jobs through an AI drone-flying contest. These developments come as the California Post Alliance seeks tax incentives to combat a downturn in post-production jobs, and communities fight against the expansion of ICE detention centers.
According to Fortune, Gen Z users are turning to a rising alternative app built by a former Oracle employee, as they see TikTok becoming an instrument of corporate and political power after its U.S. operation was split from its global business and placed under a new joint venture in which Oracle holds a major stake. Meanwhile, Anduril, a $30 billion defense tech startup, is launching an AI Grand Prix, an open-invitation event for engineers to prove their coding skills in a high-speed drone racing competition, as reported by Fortune. This approach aims to bypass the traditional job application process, which has become increasingly competitive.
The California Post Alliance (CAPA), a coalition of Hollywood post-production workers, is seeking greater tax incentives in the California legislature to address a downturn in jobs and income, Variety reported. At a kickoff rally attended by over 200 people, CAPA officials announced their plans.
Simultaneously, communities are actively opposing the expansion of ICE detention centers. As the Trump Administration sought to expand its immigrant detention capacity, local communities, government leaders, and building sellers are fighting back, according to Time. President Donald Trump's "Big Beautiful Bill" allocated $45 billion to ICE to build new detention centers, with the agency already acquiring buildings in at least eight states.
A study from the Stockholm School of Economics found that scaling startups risk increasing gender gaps. The study showed that the pressures of rapid growth increase the likelihood that founders rely on mental shortcuts and make biased decisions.
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