How Software Engineers and Students Use AI to Move Faster than Ever (without breaking things)

Data privacy surged with GDPR and global laws—great for citizens, costly for businesses. Now AI-powered privacy tools are flipping the script: automating consent and preference management, mapping personal data across systems, dynamically adapting to new rules, orchestrating end-to-end DSR requests, and pre-flagging risks via automated PIAs. Compliance moves from manual, expensive, and brittle to faster, accurate, and auditable—turning privacy from a cost center into a competitive advantage that strengthens brands and deepens customer trust.

Over the past six months, ChatGPT’s new clickable links and search-style results have driven a surge in referral traffic, fueling rapid growth in Answer Engine Optimization (AEO), a trend expected to accelerate in the coming years. Are you ready? In fact are you alredy adopting SEO practices and making the necessary adjustments to make sure you customers and prospects can find you when they come looking. Whether you are educating or engaging, check out our marketer, Stéphane Le Mentec, director of demand generation at Ketch who knows a thing or two about AEO.

This VMblog Q&A with super{set} founding GP Vivek Vaidya explains how the studio builds AI-native enterprise companies by pairing capital with hands-on company building (engineering, GTM playbooks) and focusing on proprietary data as the core moat. It spotlights the $200M acquisition of Habu by LiveRamp (2024) as proof of the model, and details what they seek in technical co-founders, how they hard-wire governance/privacy from day one, and which enterprise workflows are ripe for AI over 2025–2030.