Fact check: What are the most common tech interview questions in 2025?

1. Summary of the results

Based on the analyses provided, the tech interview landscape in 2025 has evolved significantly with several key trends emerging:

Interview Format Changes:

The tech interview process has undergone substantial transformation, with companies moving toward more practical, project-based assessments rather than traditional coding challenges ^[1]. The integration of AI into recruitment has fundamentally changed how companies identify and hire talent, with AI-driven tools now assessing candidates' technical skills and cultural fit ^[2].

Key Interview Categories:

• Behavioral interviews remain crucial, with specific questions from major tech companies like Airbnb, Amazon, and Google being commonly used ^[3]
• Technical preparation continues to be essential, though the format has shifted toward practical applications ^[4]
• Company-specific preparation is increasingly important, with different approaches needed for Google, Amazon, Meta, Apple, Microsoft, and OpenAI ^[5]

Skills in High Demand:

Companies are prioritizing candidates with niche skills in AI security, cloud automation, and fintech infrastructure ^[2]. There's a notable shift toward specialized roles requiring expertise in machine learning, data science, and automation ^[2].

2. Missing context/alternative viewpoints

The original question lacks several important contextual factors that significantly impact tech interview preparation in 2025:

Market Dynamics:

The analyses reveal that Big Tech hiring has rebounded and there's substantial growth in AI-related positions ^[1]. Metro Denver alone is expected to add around 5,042 new tech jobs in 2025, ranking sixth nationally for tech-job growth ^[6]. This hiring surge means increased competition and potentially more rigorous interview processes.

Technology Trends Impact:

The question doesn't account for how 13 frontier technology trends are transforming global business, including agentic AI, application-specific semiconductors, and advanced connectivity ^[7]. These emerging technologies are likely driving new types of interview questions focused on cutting-edge skills.

Geographic Variations:

The analyses show regional differences in tech growth, with the tech sector contributing 13% to Denver's area economy ^[6], suggesting that interview questions may vary significantly by location and local market demands.

Investment Climate Influence:

The stabilized and rebounded investment climate for frontier technologies in 2024, with increased equity investment in cloud computing, bioengineering, and space technologies ^[7], indicates that interview questions are likely evolving to reflect these funded areas.

3. Potential misinformation/bias in the original statement

The original question, while straightforward, contains an implicit assumption that may be misleading:

Oversimplification of Interview Diversity:

The question assumes there are universally "most common" tech interview questions, but the analyses reveal that interview processes vary significantly between companies and roles ^[5]. The reality is that preparation requires understanding the specific company and role rather than memorizing a standard set of questions ^[4].

Temporal Bias:

By asking for 2025-specific questions, the question may create an expectation that interview questions change dramatically year-to-year. However, the analyses suggest that while formats and assessment methods evolve ^[1], fundamental technical and behavioral competencies remain consistent.

Missing Preparation Context:

The question focuses solely on question types rather than the broader preparation strategy that the analyses emphasize, including researching the organization, understanding job descriptions, and practicing answers aloud ^[8]. This narrow focus could mislead candidates into believing that memorizing questions is sufficient preparation.

The analyses consistently emphasize that successful tech interview preparation in 2025 requires adaptability to various interview formats and strong understanding of technical concepts ^[9], rather than simply knowing common questions.