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Happy Saturday, today’s operating cadence is light, but the incentives are not. Novartis just put up to $2B on the idea that allergies could be the next ‘miracle category’ if you change the modality fast enough, while Apple is treating the AI race like what it is: a retention problem solved with four-year stock glue, not grand model announcements.
Elsewhere, cybersecurity stocks got stress-tested by an Anthropic launch, GitHub quietly reclassified your Copilot clicks as training data, and Duolingo’s CEO is running candidate QA with a secret ‘taxi test’; because culture fit is apparently best measured between the curb and the lobby.
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Six bullets of updates
💵 SoftBank posts $6.4B Q3 profit driven by Vision Fund gains, bouncing back from previous losses.
🛒 B2B e-commerce software startup Trayd speeds up order management with tools that cut manual entry by 80%.
🤖 OpenAI made 6 acquisitions since 2023, with half targeting open-source developers & AI tools to fuel platform growth.
🚗 Rivian secures another $1B from VW as the joint EV tech venture aims to deliver by 2026; plans for integration in future VW models accelerate.
🛡️ Cybersecurity stocks tumbled as markets reacted to fresh risks posed by Anthropic’s new AI model, wiping out $15B in sector value.
🤖 Austin startups hit a record $6.3B in 2024 investment, driven by surging AI and robotics deal flow.
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Novartis bets $2B that allergies are the new Ozempic
Photo by Pixelumina Photography on Unsplash
Novartis is buying Palo Alto–based Excellergy for up to $2B, effectively betting that allergy drugs are the next obesity GLP‑1 moment, a deal that bets on next-gen allergy control. The prize is Exl‑111, a Phase 1 trifunctional ECRI that aims to shut down IgE at the effector cell level, extending Novartis’ existing IgE know‑how, and builds ECRI portfolio.
For platform biotechs, the pattern is stark: stay on validated biology, innovate on modality, and bring clean early PK plus safety to the table. That was enough to turn a 2021 seed into a strategic outcome with milestone upside and a seed-to-exit trajectory of roughly five years.
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Venture capitalists just changed the rules again
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🚕 Duolingo CEO screens hires with a secret taxi test; you’re judged from curb to office, not just in the room.
🧭 Women founders can adapt with 3 leadership shifts to stay vigilant as AI accelerates and teams scale.
🤝 CEO hires can trigger identity shock; defuse the power struggle, says a 20-year scaler, to keep growth on track.
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Apple’s AI strategy starts with stock, not models
Photo by Nikolai Chernichenko on Unsplash
Apple is quietly admitting the AI war is really a talent war. To keep iPhone hardware designers from drifting to model labs, it’s rolling out new retention stock grants that vest over four years.
This is less about generosity and more about closing an arbitrage: hardware people who understand silicon, thermals, and cameras are now core to on-device AI. The four-year structure signals Apple is betting on a long, hardware-centric AI cycle, and wants zero churn in that window.
For startups, this is another data point that the AI boom is resetting compensation benchmarks far beyond ML engineers. Expect rising offers for “unsexy” systems talent and more attempts to fight AI brain-drain with equity-heavy packages and a much longer talent horizon.
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Startup Events and Deadlines
Startup Funding Rounds in the AI Era l March 31 l Webinar
How to Pitch an AI Company to Investors | April 07 l Webinar
HumanX 2026 | April 06-09 | Register
NextCorps Manufacturing Accelerator | April 10 | Apply