Did you know you can't steal a charity? Don't worry. Elon Musk will remind you.

This episode of Equity dives into a cautionary tale for startup founders: the story of Scali, a scholarship-matching app founded by Christopher Gray that was acquired by Sallie Mae in 2023. Despite promises of making the service free and protecting student data, Gray alleges Sallie Mae breached their agreement by selling user data to ad networks and universities through a newly created subsidiary, Sally. The episode underscores the fragility of control post-acquisition and the hidden costs of 'free' services, urging founders and users alike to scrutinize privacy policies and fine print. Beyond this central narrative, the hosts explore BMW iVentures’ $300 million AI-focused fund, highlighting the strategic intent behind corporate venture arms in the auto industry. They also examine the rise of defense tech startups like Scout AI, which openly develop AI for military applications amid shifting political and regulatory landscapes. The episode then shifts to the high-stakes OpenAI trial, where Elon Musk claims he was misled about OpenAI’s for-profit pivot, with his own contradictory tweets undermining his credibility. Finally, the Magnificent Seven tech giants’ soaring capital expenditures—especially Meta’s recent capex hike—trigger a market correction, signaling investor fatigue with endless AI infrastructure spending despite uncertain returns. The episode closes with a warning about the sustainability of enterprise AI adoption and pricing models. Key takeaways include: 1) Post-acquisition control over your product and data is fragile, even with legal protections; 2) 'Free' services often come with hidden data costs—always read privacy policies; 3) Corporate venture arms like BMW iVentures are increasingly strategic, not just for show; 4) The defense tech boom is real and bold, with startups proudly marketing AI for military use; 5) Legal battles like Musk’s OpenAI trial reveal the limits of public narratives under oath; 6) Massive AI capex spending may be hitting investor fatigue, as seen in Meta’s stock drop; 7) Enterprise AI adoption is accelerating but pricing models remain unsustainable; 8) The era of 'try everything' is ending—companies will eventually lock in on specific AI tools.