Meta Accelerates Its AI Strategy, but Zuckerberg Finds Progress Still Too Slow

For several years, the race for artificial intelligence has intensified among major tech companies. Investments are rapidly increasing, and executives' expectations are following the same trajectory. However, budgets do not always suffice to accelerate the development of new tools. At Meta, this reality is now openly acknowledged. During a recent internal meeting, Zuckerberg admitted that the company's advancements remain below the pace he hoped for, despite a deep reorganization and record investments.

In brief

• Meta plans to invest up to $145 billion in artificial intelligence by 2026 to accelerate its transformation.
• Mark Zuckerberg believes that the development of AI projects is progressing more slowly than the goals set by management.
• The company has eliminated about 8,000 positions and reassigned nearly 7,000 employees to a new team dedicated to AI agents.
• Zuckerberg expects tangible advancements within 3 to 6 months to measure the effectiveness of this reorganization.
• Meta seeks to balance its transformation towards AI with maintaining its historical activities, particularly its advertising business.

During a recent internal meeting, Meta provided a clear assessment of the status of its artificial intelligence projects. According to exchanges reported by Bitcoin News, Zuckerberg expressed his dissatisfaction with the pace of developments, which he considers below the targets set by management. This stance reflects the company's high expectations in a sector where every month counts.

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

The stakes go beyond simply launching new products. The company also seeks to demonstrate that it can quickly transform its investments into concrete innovations while keeping pace with a particularly dynamic market.

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

At the same time, Zuckerberg has initiated a large-scale reorganization to accelerate project execution. The company has eliminated about 8,000 jobs and reassigned nearly 7,000 employees to new roles. A significant portion of these employees is joining a group called Agent Transformation, created to accelerate the development of artificial intelligence systems.

The leader reportedly acknowledged that this restructuring has not been as smooth as hoped. Despite these difficulties, he believes this evolution is essential to reduce development timelines and improve coordination among different teams.

Still with the report from Bitcoin News, during this same meeting, Meta also set a particularly precise timeline for its teams. Zuckerberg now expects tangible progress within a timeframe of three to six months. Such a deadline is unusual for artificial intelligence projects, which are often marked by long research phases.

This orientation alters 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 the market launch of future products.

According to several reports, some 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 highly competitive context.

Internal discussions also show that Meta considers speed of execution as a determining factor. In a recent Reuters report, Zuckerberg referenced the Red Queen metaphor, which suggests that one must run continuously just to maintain their position. This imagery illustrates the challenges faced by major tech companies engaged in artificial intelligence development.

The group must now pursue several objectives in parallel. It must continue to operate its advertising business, accelerate its AI agent projects, 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 achieved will allow for an assessment of whether this strategy produces the expected effects. The progress made within the new teams will provide an initial indicator of the effectiveness of the ongoing reorganization. They will also show whether the significant investments made will genuinely accelerate AI development at the pace set by management.

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