AI Layoffs

The tech industry has been experiencing a wave of layoffs, with many companies citing AI as a factor in their decision to cut jobs. One of the latest companies to join this trend is Monday.com, a work management software company that has announced plans to lay off around 20% of its workforce.

The Rise of AI-Driven Layoffs

Monday.com is not alone in its decision to blame AI for its layoffs. Many other tech companies, including Amazon, Oracle, Meta, and Microsoft, have also cited AI as a reason for their job cuts. This has led to a significant reduction in the workforce, with nearly 140,000 jobs lost in the US tech industry since the start of the year.

The Impact of AI on the Job Market

While AI has been blamed for many of the layoffs, it is also creating new job opportunities in areas such as AI development and deployment. Companies like Anthropic and OpenAI are hiring rapidly, absorbing some of the talent shed by other companies in the industry.

Companies Affected by AI-Driven Layoffs

Microsoft: laid off around 4,800 roles, citing AI as a factor in its decision
Oracle: reduced its workforce by 21,000 employees over the past 12 months, due in part to AI adoption
GitLab: laid off around 350 workers to fund AI infrastructure investment
Google: has quietly cut employees across its Cloud division, including its Threat Intelligence Group and Mandiant-linked cybersecurity staff
Intuit: announced plans to eliminate around 3,000 jobs, citing AI as a reason for its restructuring

The Future of Work in the Age of AI

As AI continues to transform the job market, it is likely that we will see more companies citing AI as a reason for their layoffs. However, it is also important to recognize the opportunities that AI creates, and to ensure that workers have the skills they need to thrive in an AI-driven economy.

Conclusion

Technology teams are watching ai layoffs closely because changes in this space often arrive faster than internal policies can adapt.

For product and engineering leaders, the practical question is how this could reshape roadmaps, vendor choices, and security reviews over the next few quarters.

Organizations that document lessons early tend to respond more calmly when similar patterns appear again.

In many companies, the first impact shows up in planning meetings: teams reassess priorities, revisit risk registers, and check whether existing tooling still fits.

Smaller businesses feel these shifts too. A single platform change or market move can affect customer trust, delivery timelines, and hiring plans.

The most resilient teams treat stories like this as input for quarterly reviews rather than one-day headlines.

If your business depends on modern software, ERP, VoIP, or customer-facing apps, staying informed helps you separate noise from decisions that require action.

Looking ahead, disciplined follow-through matters: assign owners, set review dates, and measure whether your response improved outcomes.

Security and compliance stakeholders should ask whether current controls still match the pace of change described in this update.

Operations leaders can reduce friction by translating the headline into a short internal brief with clear next steps for each department.

Customer support teams may see early signals through tickets, outages, or policy questions long before leadership reviews are scheduled.

Finance and procurement groups should note whether licensing, vendor risk, or implementation costs need revisiting after this development.

Training programs benefit from timely updates so staff understand what changed, what did not change, and what requires escalation.

Architecture reviews are a practical place to test assumptions, especially when new tools, platforms, or threats enter the conversation.

Documentation quality often determines how quickly a company recovers from surprises; capture decisions while context is still clear.