Meta accelerates its AI strategy, but Zuckerberg considers progress still too slow

For several years, the race for artificial intelligence has intensified between large technology companies. Investments are increasing rapidly and executive expectations are following the same trajectory. However, budgets are not always enough to accelerate the development of new tools. At Meta, this reality is now openly imposed. During a recent internal meeting, Zuckerberg acknowledged that the company’s progress remained below the pace he hoped for, despite a major reorganization and record investments.

Meta wants to accelerate the development of its artificial intelligence

During a recent internal meeting, Meta provided a clear overview of the progress of its projects related to artificial intelligence. According to the exchanges reported by Bitcoin NewsZuckerberg expressed his dissatisfaction with the pace of developments, which he considers below the objectives set by management. This position reflects the company’s high expectations in a sector where every month counts.

For two years, the group has presented artificial intelligence as the engine of its next phase of growth. The teams are working on digital assistants, tools for advertisers as well as agents capable of performing more complex tasks. However, management believes that these projects must progress more quickly to meet the stated ambitions.

The challenge goes beyond the simple launch of new products. The company also seeks to demonstrate that it can quickly transform its investments into concrete innovations, while maintaining the pace imposed by a particularly dynamic market.

Record investments accompanied by extensive restructuring

To support this strategy, Meta plans to invest up to $145 billion in artificial intelligence and associated infrastructure by 2026. This level of spending places the company among the players devoting the most resources to this technological transformation.

At the same time, Zuckerberg initiated a large-scale reorganization in order to accelerate the execution of projects. The company cut around 8,000 jobs and reassigned nearly 7,000 employees to new roles. A large portion of these employees join a group called “Agent Transformation,” created to accelerate the development of artificial intelligence systems.

The manager would have recognized that this restructuring had not been as smooth as hoped. Despite these difficulties, he believes that “itThis development remains essential to reduce development times and improve coordination between the different teams “.

Zuckerberg sets three to six month deadline to measure progress

Still with the report from Bitcoin News, During this same meeting, Meta also defined a particularly precise schedule for its teams. Zuckerberg now expects tangible progress within three to six months. Such a deadline remains unusual for artificial intelligence projects, often marked by long research phases.

This orientation changes the priorities of the recently reorganized technical teams. Engineers must now produce concrete results while continuing to develop complex technologies. This pressure reflects management’s desire to simultaneously accelerate research and marketing of future products.

According to several reports, certain units specializing in artificial intelligence are already operating in a particularly demanding environment. This intensity accompanies the company’s desire to improve its execution in a context of strong competition.

A race against time to keep up with the tech giants

Internal discussions also show that Meta considers speed of execution a determining factor. In a recent Reuters reportZuckerberg invoked the Red Queen metaphor, where you have to run constantly just to maintain your position. This image illustrates the challenges facing large technology companies engaged in the development of artificial intelligence.

The group must now pursue several objectives in parallel. It must continue to operate its advertising business, accelerate its projects related to artificial intelligence agents and integrate the effects of its recent restructuring. This combination represents a particularly complex exercise for the entire organization.

In the coming months, the results obtained will make it possible to assess whether this strategy produces the expected effects. The progress made within the new teams will provide a first indicator of the effectiveness of the reorganization undertaken. They will also show whether the significant investments made will actually accelerate the development of AI at the pace set by management.