Splice CEO Kakul Srivastava Warns Against AI-Written Emails

Kakul Srivastava, the chief executive of the music creation and sample platform Splice, has expressed deep skepticism about the growing use of generative artificial intelligence to draft workplace communications. Leading a remote-first company, Srivastava argues that relying on AI-generated text undermines the authentic debates and critical thinking that drive successful business decisions. She cautions that when employees can no longer discern if a human actually wrote a document, the subsequent dialogue loses its value.

This philosophy of keeping humans at the center of the process extends to how Splice approaches its core business. The platform, which recently expanded its footprint by acquiring Spitfire Audio, provides loops and samples used in major pop hits such as Sabrina Carpenter's "Espresso" and Lisa's "Money." Under Srivastava's leadership, the company has actively avoided the fully automated song-generation models popularized by startups like Suno, choosing instead to build tools that assist rather than replace human creators.

Srivastava's perspective is shaped by a long career at the intersection of technology and creative industries, including executive roles at Flickr, Yahoo, GitHub, and Adobe. She was also an early team member at Tiny Speck, the developer behind the multiplayer game Glitch, which eventually pivoted to become Slack. Reflecting on Glitch's failure due to missed technological shifts like the decline of Adobe Flash and the rise of mobile gaming, she emphasizes the importance of clear, honest communication when navigating industry transitions.

For modern professionals and developers, Srivastava's warnings serve as a reminder of the hidden costs of automated efficiency. While AI tools can rapidly generate emails and reports, they risk stripping away the personal conviction required to pitch and defend novel ideas. In her view, both music and workplace collaboration require real human presence, meaning that over-reliance on automated writing could ultimately stifle the very innovation companies hope to accelerate.