Block is laying off nearly 4,000 employees, prompting a 20% surge in its shares as the company shifts to an AI-focused structure.
Block's CEO Jack Dorsey revealed plans to lay off approximately 4,000 employees as part of a strategy to streamline the organization into a more AI-driven structure. This reduction will cut the workforce nearly in half, from over 10,000 to just under 6,000.
“Today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half,” Dorsey stated in a message to employees.
The layoffs come shortly after reports indicated that Block was preparing to dismiss up to 10% of its workforce. Dorsey emphasized that the adoption of artificial intelligence is reshaping operational frameworks, necessitating a business model adjustment despite the company's financial stability and profit growth.
“A decision of this magnitude carries risks, but inaction is also risky,” he explained, noting that a detailed analysis was conducted to identify essential roles for future growth.
To mitigate uncertainty, Dorsey opted for an immediate layoff approach, assuring affected employees will receive severance equivalent to 20 weeks of pay plus an additional week for each year of service. This follows a previous round of layoffs in 2024 that impacted over 1,000 employees.
Following the announcement, Block's shares rose by more than 20% in after-hours trading, closing at $54.53 and elevating the company's market capitalization to $31 billion.
“We will build a company centered around intelligence,” Dorsey concluded, highlighting the anticipated shift in how clients will interact with the company's offerings.
AI's Growing Importance in Tech
In a broader context, Silicon Valley firms are increasingly mandating AI proficiency among employees, as reported by the Wall Street Journal. This shift reflects a significant change in expectations, with 42% of tech professionals noting that their leaders now expect daily AI usage, up from 32% just eight months prior.
Many tech companies are already reaping benefits from investments in generative AI, with nearly half reporting positive returns, compared to 35% in other sectors. Major firms are implementing systems to assess AI skills among employees:
- Amazon Web Services uses dashboards to track AI tool usage for promotion considerations;
- Google employs neural networks to evaluate software engineers' performance;
- Meta has introduced a system to analyze code written using AI algorithms;
- Microsoft integrates AI usage metrics into performance evaluations;
- Salesforce has added an AI proficiency tracker to its corporate dashboard.
Some companies are now disqualifying candidates who lack AI skills, requiring applicants to demonstrate their problem-solving abilities with AI tools.
OpenAI's CEO, Sam Altman, recently remarked that some organizations are using AI as a justification for layoffs, indicating a complex relationship between technology adoption and workforce management.
