Apollo’s Slok Says S&P 493’s Stalled Margins Are a Big-Tech Risk
THE SO WHAT
If the S&P 493 isn’t showing margin lift from AI spend, the market will eventually question the multiple premium baked into Big Tech’s AI narrative. For non-megacaps, this is a warning to tie AI initiatives to hard P&L outcomes quickly — ‘strategic experimentation’ won’t survive the next earnings reset.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIThe AI trust gap: No scaling without quality management
The ‘trust gap’ framing is code for this: AI rollouts are stalling not on model quality, but on missing testing, governance, and accountability. If your AI roadmap doesn’t have an owner for evals, red-teaming, and audit trails, you’re not blocked by technology — you’re blocked by basic quality management.
Applied AIAmazon Seeks to Raise at Least $25 Billion to Fund AI Spending
Amazon tapping bond markets for at least $25B to fund AI infra cements AI capex as a balance-sheet event, not just cloud opex. If you’re building on these platforms, assume pricing, capacity allocation, and partnership terms will increasingly be shaped by how you help amortize that spend — via committed usage, data, or ecosystem pull-through.
Applied AIWhy Nvidia's NemoClaw signals the true enterprise agent era
When an infra provider talks about “enterprise-ready autonomy,” the center of gravity shifts from chat interfaces to long-running, governed agents wired into production systems. CIOs should start defining which workflows they’re willing to hand to agents, what guardrails they require, and how they’ll audit decisions over weeks-long executions.
Applied AIDeepSeek is reportedly designing its own AI chip to sidestep US curbs
A leading Chinese lab moving into its own AI silicon is another step toward a bifurcated compute stack—different chips, toolchains, and optimization paths on each side of export controls. Multinational teams should assume growing divergence in performance characteristics and plan for dual-targeted model and infra strategies.