As Business Insider’s senior technology reporter, Chowdhury deciphers how Silicon Valley’s biggest players navigate the AI revolution. His coverage spans:
"The most compelling pitches demonstrate how today’s AI infrastructure decisions will shape tomorrow’s competitive landscape."
Hasan Chowdhury has evolved into one of Business Insider’s most authoritative voices on Silicon Valley’s AI revolution. His career began at The Telegraph and Financial Times, where he honed his ability to decode complex financial and technological developments for mainstream audiences. Since joining Business Insider in 2025, he’s become a go-to source for analyzing how major tech firms like Apple, Google, and Nvidia navigate the AI arms race.
Chowdhury’s April 2025 investigation revealed how Apple is using synthetic data to train AI models while sidestepping privacy concerns—a crucial insight given the company’s delayed entry into generative AI. Through interviews with machine learning engineers and analysis of patent filings, he demonstrated how Apple’s approach differs from rivals’ data-scraping methods. The piece sparked debate about whether synthetic data could become the new gold standard in AI development.
"Apple’s synthetic data strategy isn’t just about catching up—it’s an attempt to rewrite the rules of AI training altogether."
This profile of Amazon’s AI leadership provided unprecedented access to AWS’s Q Developer team. Chowdhury coined the term “prompt engineering meets software development” to describe vibe coding’s rise, tracking its adoption from Silicon Valley startups to enterprise IT departments. His analysis of GitHub commit patterns showed a 300% increase in AI-assisted coding since 2023.
When Nvidia’s stock plummeted $600 billion in March 2025, Chowdhury was first to connect the drop to Google’s new energy-efficient AI models. By comparing training costs across different chip architectures, he predicted which semiconductor companies would survive the industry’s “efficiency reckoning.”
Chowdhury prioritizes stories about real-world AI deployment hurdles. His coverage of Apple’s synthetic data initiative [1] and Amazon’s developer tools [2] shows particular interest in how companies balance innovation with practical constraints like privacy regulations and legacy systems.
While he focuses on tech giants, successful pitches demonstrate AI’s ripple effects. His Nvidia analysis [3] connected chip design to broader market trends in cloud computing and venture capital—a model for showing how niche developments impact multiple sectors.
Chowdhury’s most impactful pieces feature C-suite perspectives. The Amazon profile [2] gained traction because it included verbatim quotes from AWS VP Deepak Singh about long-term AI strategy.
Pitches should include proprietary datasets or analysis. His Apple investigation [1] stood out because it correlated patent filings with hiring patterns in Apple’s machine learning division.
While competitors cover AI gadgets, Chowdhury concentrates on infrastructure-level developments. His work rarely discusses consumer applications like smart home devices or AI wearables.
Apple is looking to synthetic data to boost its AI models while maintaining data privacy of its users as it races to catch up with rivals on AI
An Amazon AI leader tells BI why vibe coding is here to stay
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