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Alibaba Steps Up The AI Race With A New Laptop-Ready Model

Alibaba is stepping up its competition with Meta in the open-weight AI market, launching a new model designed for consumer devices while releasing the weights of its most powerful system.

A New Model For Consumer Devices

On Monday, the Chinese tech giant introduced Qwen3.8-27B for laptops and other consumer hardware. Alibaba said the model can handle coding, professional tasks, research and long-horizon agentic work, while matching the performance of a model 10 times its size.

Alongside the new model, Alibaba released the weights of Qwen3.8 Max, allowing developers to download and run the system freely. The company has not, however, disclosed the data or methods used to train it.

The launch follows Meta’s announcement that it plans to open-source its most powerful AI model and develop new systems designed to run on laptops. The move is part of Meta’s effort to position itself as the leading U.S. alternative to Chinese open-weight models from companies including Alibaba, DeepSeek and Moonshot.

Nick Patience, AI lead at the Futurum Group, said Meta’s renewed focus on open weights followed the rapid gains made by Chinese AI labs.

Alibaba Looks To Strengthen Its Open-Weight Lead

Success in the open-weight AI market depends not only on model performance but also on how widely developers adopt and build on the technology.

According to Hugging Face, Qwen-based models accounted for 151,448 derivatives last week, meaning instances where an open-weight model was downloaded and used. That figure is 2.6 times Meta’s total footprint, the platform said.

“The company which can offer the most capable open weights models will move ahead in this race,” said Neil Shah, co-founder at Counterpoint Research.

Shah believes Alibaba is seeking to establish Qwen as a global alternative to Silicon Valley’s frontier AI models.

On-Device AI Emerges As The Next Battleground

Qwen3.8-27B also reflects Alibaba’s bet that increasingly capable AI will move beyond data centers and onto everyday devices.

Local processing could provide faster responses and greater privacy because data does not always need to leave a laptop or smartphone. Shah described on-device AI as the next major battleground for model developers.

Patience said Alibaba has already built advantages in both open-weight and on-device AI, making Qwen one of the strongest non-U.S. model families for hardware partnerships and the global developer community.

With its latest release, Alibaba is expanding the competition with Meta from AI model development into the next question facing the industry: where and how those models will run.

Eurobank Plans €1 Billion Investment In AI And Digital Banking By 2028

Eurobank plans to invest about €1 billion in technology from 2025 through 2028, its largest technology investment program to date. The Banking Forward strategy focuses on digital banking, artificial intelligence, customer experience and a “phygital” model combining digital services with face-to-face support.

Digital Banking Dominates Customer Activity

Digital channels already account for 96% of Eurobank transactions, with 61% completed through the Eurobank Mobile App. Among customers aged 35 and under, digital adoption reaches 94%.

Customers make about 574 million annual logins across e/m-banking and more than 1 million digital transactions each day. During the first half of 2026, one in three banking products was acquired digitally.

AI Moves Into Everyday Banking

Eurobank is expanding the use of AI through tools including EVA, its digital customer assistant, and myEVA, an AI-powered voice assistant for employees. The technology is also being applied to mortgage assessments, customer feedback analysis and contractual documents.

The bank’s technology architecture is built around five areas: digital channels, customer experience orchestration, data and AI, core banking, and infrastructure and cloud. About 50% of its applications and digital channels are already cloud-based.

Investment Extends Beyond Technology

The program is intended to reshape how Eurobank operates, combining automation and AI with employee development and human support. The bank says the approach is designed to improve services while maintaining access to face-to-face banking when customers need it.

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