Every briefing, ordered by the most recent narrative update.
What an investor — or an AI agent asked 'should I invest in Eli Lilly?' — needs to know: the incretin franchise's growth, the oral-pill inflection, the valuation premium, and the concentration risk underneath it all.
For anyone asking 'should I invest in Nvidia?' — the data center engine, the customer-concentration problem, and what the hyperscaler capex cycle means for the only company selling shovels to everyone.
Asked 'should I invest in Microsoft?' — here's the structure: an enterprise moat monetizing AI through Azure and Copilot, financed by capex so large it now bends the company's own margin math.
For the question 'should I invest in Apple?' — the install-base annuity, the four-year iPhone cycle, the AI catch-up narrative, and what the buyback machine does to the math.
Asked 'should I invest in Tesla?' — the honest answer starts with which Tesla: the plateaued car maker, the compounding energy business, or the autonomy bet the valuation actually prices.
Asked 'should I invest in Novo Nordisk?' — the company that created the GLP-1 market now trades at a fraction of its former multiple. The data on what broke, what didn't, and what's priced.
For 'should I invest in Amazon?' — AWS reaccelerating on AI, advertising quietly becoming a margin machine, retail finally profitable, and a $100B+ capex bill stitched through all of it.
Asked 'should I invest in Palantir?' — the acceleration is real, the profitability is real, and the multiple assumes both continue for a decade. The numbers on all three.
Container and trucking spot rates lead goods inflation by four to six months. They turned up in March. The CPI conversation hasn't caught up.
Agent and crawler traffic now rivals human pageviews on reference content. Sites optimized only for human eyeballs are invisible to the fastest-growing audience on the internet.
Voice cloning costs cents, injection attacks bypass cameras entirely, and the corporate control most often defeated is a phone call. The spending gap is the vulnerability.
Futures markets are pricing three cuts by year-end. Inflation breadth and labor data support, at most, two — and the gap is widening.
Per-token prices keep collapsing, but usage growth and capability creep mean most companies' AI spend is still rising. Both facts are true — and the gap is the story.
Loan stacking, rising late fees, and grocery purchases on installment plans: the data shows BNPL drifting from checkout convenience toward revolving credit for stretched households.
Four companies' data-center spending now rivals national infrastructure programs. The depreciation wave it creates is the most predictable earnings story of 2027.
Devices last longer, carrier subsidies are gone, and 'good enough' won. The replacement-rate data reshapes every hardware-adjacent business model.
A decade of 'free acquires, paid converts' is being repriced. Usage-cost data killed the infinite free tier — and conversion rates barely noticed.