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Microsoft AI is aggressively expanding its internal capabilities with the release of three new foundational models, marking a significant step in its strategy to compete directly with OpenAI and Google. The new suite, developed by the MAI Superintelligence team, includes tools for transcription, voice generation, and video creation, all centered around a 'Humanist AI' philosophy. The Trinity of Multimodal Models: MAI-Transcribe, Voice, and Image The announcement details three distinct models designed to handle different aspects of human-machine interaction: MAI-Transcribe-1: A high-speed speech-to-text tool that supports 25 different languages. It is reported to be 2.5 times faster than Microsoft's previous Azure Fast offering. MAI-Voice-1: An advanced audio-generating model capable of producing 60 seconds of audio in just one second. It allows users to create custom voices, enhancing personalization. MAI-Image-2: A video-generating model that was originally tested on MAI Playground and is now being rolled out to a wider audience via Microsoft Foundry. Pricing Strategy: Undercutting the Giants Microsoft is leveraging cost as a primary differentiator in a crowded market. The company’s blog post highlights that these models are significantly cheaper than those offered by Google and OpenAI. MAI-Transcribe-1: Starts at $0.36 per hour. MAI-Voice-1: Costs $22 per 1 million characters. MAI-Image-2: Pricing is set at $5 per 1 million tokens for text input and $33 per 1 million tokens for image output. The Humanist AI Philosophy and Suleyman's Strategy Leading the MAI Superintelligence team is CEO Mustafa Suleyman, who emphasized a distinct approach to model development. The strategy focuses on 'Humanist AI,' prioritizing human-centric communication and practical utility over raw performance metrics. Suleyman wrote in a blog post that the models are optimized for how people actually communicate. Outlook: A Dual-Track AI Strategy Despite releasing its own proprietary models, Suleyman reaffirmed Microsoft's commitment to its partnership with OpenAI. He noted that recent renegotiations of the partnership have granted Microsoft the autonomy to pursue this superintelligence research. This suggests a dual-track strategy where Microsoft both invests billions in OpenAI and builds its own stack to ensure competitive pricing and redundancy in the market.

Forecasts indicate that the worldwide secondhand apparel sector will expand by 12% in 2024, reaching $289 bn (£217 bn), buoyed by artificial intelligence tools and social‑media influencers that help consumers locate desired items.Platforms such as Vinted, Depop, Vestige and ThredUp are expected to sustain an average 9% annual growth over the next five years, pushing the market to an estimated $393 bn—roughly double the growth rate of the broader clothing industry.The outlook stems from ThredUp’s latest resale report, which incorporates analysis from GlobalData. In 2021 the market was valued at just $141 bn, meaning the projected 2024 figure is more than double that baseline.Major brands—including Dr Martens, Zara and Mulberry—are now entering the resale space, either by offering pre‑owned pieces or refurbishing items to satisfy rising consumer demand."Resale is no longer merely expanding; it’s capturing direct market share," said James Reinhart, co‑founder and CEO of ThredUp. The report notes that resale now accounts for one‑tenth of global clothing sales, and that the U.S. secondhand market grew nearly four times faster than the overall market by 2025.ThredUp’s own revenue climbed 20% to $310.8 m last year. Depop reported a 42% increase to £101 m, while Vinted posted a 36% rise to €813.4 m (£710 m) in 2024. However, profitability remains elusive: ThredUp posted a $20 m pre‑tax loss, Depop a £42 m loss, and only Vinted turned a profit, earning €76.7 m. Depop was recently acquired by eBay from Etsy.Reinhart warned that rising inflation—spurred by geopolitical tensions that lift energy and fuel costs for manufacturers—could push more shoppers toward affordable secondhand options."The industry stays robust, driven by young consumers' behaviour," he added.Artificial intelligence is streamlining the massive inventories of resale platforms, enabling rapid cataloguing and matching of items to buyer preferences. "Netflix and Spotify spent decades building data and algorithms to recommend content; AI can achieve similar personalization for fashion almost instantly," Reinhart explained, noting that this reduces friction between spotting an item on social media and completing a purchase.Looking ahead, the market’s next phase will be defined by firms that can unlock supply and leverage AI to connect inventory with the next generation of shoppers, according to Reinhart.Analyst Neil Saunders of GlobalData highlighted that consumers aged 14‑45 (Gen Z and millennials) are projected to generate 70% of market growth. He emphasized that discovery tools must migrate to the social feeds where these shoppers spend their time, and that technology will be essential to simplify selling and maintain sufficient stock for expanding demand.