Technology Sector
Tech giants race to cut AI costs by building in-house models while China's cheaper alternatives gain ground, reshaping the competitive landscape.
Meta released Muse Image, a free AI image-generation model available through its Meta AI app, Instagram Stories, and WhatsApp, marking the company's second major AI release from its Superintelligence Labs. The tool lets everyday users create images for free, while power users and creators must subscribe to Meta's new monthly plans for unlimited access. Meta will also use Muse Image to power advertiser tools within its Advantage Plus service, helping brands generate on-brand ad variations—a direct bid to monetize its massive AI infrastructure spending and compete with OpenAI and Google's image models.
Meta's new Muse Image tool allows users to manipulate other Instagram users' public photos to create AI-generated images without notification or explicit consent—a feature that defaults to opt-out rather than opt-in. The capability has prompted immediate backlash from privacy advocates and users, who view it as a "privacy landmine" given Meta's history: the company paid a $5 billion FTC fine in 2019 over the Cambridge Analytica data scandal and shut down its facial-recognition system in 2021 due to regulatory pressure (TechCrunch). This opt-out-by-default approach mirrors Meta's historical pattern of broad data use unless users actively disable it, raising questions about regulatory scrutiny ahead.
Chinese AI models from companies like DeepSeek and Z.ai have captured over 30% of weekly token usage on OpenRouter since February 2026, up from just 4.5% in the first half of 2025, as U.S. companies face unexpectedly high costs from OpenAI and Anthropic (CNBC). Z.ai's GLM 5.2 model saw the fastest adoption of any model tracked by Vercel in 2026, with daily token volume growing 27x in its first week and customer adoption growing 80x. Chinese open-source models are 60–90% cheaper than leading U.S. rivals while performing within 6–9 months of the frontier, making them attractive for cost-conscious companies willing to trade minor capability gaps for dramatically lower bills.