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Google Launches Doppl: An AI-Powered Virtual Fashion Experience

by THEFUTURE.TEAM

June 27, 2025

Innovating the Virtual Try-On Landscape

Google has introduced Doppl, an experimental application that leverages artificial intelligence to transform the way consumers explore fashion digitally. Currently available on both iOS and Android in the United States, Doppl enables users to virtually try on outfits using a personalized digital avatar created from a full-body photo.

A Technological Leap in Fashion Engagement

By simply uploading an image of themselves, users can experiment with various outfits sourced from anywhere, from thrift store finds to social media inspirations. The app generates a realistic image of the user wearing the selected garment, and it can even convert these static images into short, AI-generated videos. This dynamic presentation offers a more accurate impression of how the outfit might look in motion.

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Integrating Seamless User Experience With Data Insights

Building on the success of earlier virtual try-on technology within Google Shopping, Doppl provides a streamlined, stand-alone experience designed to appeal to contemporary fashion enthusiasts. The interactive format not only enhances user engagement but also allows Google to collect vital data, further refining its approach to integrating AI and shopping experiences.

Paving the Way for Future Innovations

While Doppl marks another significant milestone in Google’s foray into digital fashion, it is important to note that as an experimental product, the tool may face occasional accuracy issues in fit, appearance, and clothing details. Nonetheless, this innovative step underscores Google’s commitment to evolving how consumers interact with fashion in a digitally immersive environment.

Looking Ahead

Google’s Doppl represents a pivotal moment in the intersection of artificial intelligence and retail, with the potential to redefine consumer engagement in the fashion industry. As the app continues to evolve, industry observers will be keenly watching for its broader rollout and impact on the future of digital shopping.

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Google Escalates Capital Outlay Amid Surge in Cloud Demand

by THEFUTURE.TEAM

July 25, 2025

Robust Investment Strategy To Power AI Innovation

Alphabet Inc. has significantly revised its capital spending forecast for 2025, allocating an additional $10 billion to accommodate the burgeoning demand for its Cloud services. This strategic move reflects the company’s proactive approach to expanding its infrastructure, particularly in light of the accelerated adoption of AI-powered solutions.

Expanding Infrastructure To Meet Unprecedented Demand

In its second quarter earnings report, Alphabet highlighted a sharp increase in cloud revenues—up 32% to $13.6 billion. This surge has precipitated a $106 billion service backlog, as noted by Finance Chief Anat Ashkenazi during the post-earnings call. The majority of the additional capital expenditure is earmarked for enhancing technical infrastructure, with investments focused on servers and data center networking equipment. The company’s renewed forecast now stands at approximately $85 billion in capital expenditures for 2025, up from the previously projected $75 billion.

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Strategic Expansion Amid A Tight Supply Environment

Ashkenazi pointed out the challenges posed by a tight supply environment, emphasizing that the accelerated pace of server deployments and data center construction is essential to keeping pace with client demand. As Google continues to enhance capacity quarter-by-quarter, further increased capital spending is anticipated in 2026 to capitalize on emerging growth opportunities across the organization.

Implications For Future Profitability

While these significant investments will position Google at the forefront of AI and Cloud technology, they also imply a measurable increase in expenses, potentially affecting short-term profitability. Nevertheless, this forward-looking expansion underscores Alphabet’s commitment to sustaining its competitive edge in a rapidly evolving technological landscape.