
Anthropic wants to develop its own drugs
THE SO WHAT
A frontier lab building Claude Science as an end-to-end "AI workbench" for drug discovery is another data point that vertical, tool-rich environments will matter more than raw model access. If you’re in life sciences, the question this week is whether you own the workflow and data context around your scientists — or you’re about to rent it from someone else.
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Applied AIGoogle DeepMind and A24 announce first-of-its-kind research partnership
DeepMind partnering with A24 formalizes AI labs working directly with top-tier storytellers — not just tooling them, but co‑researching new formats. For media operators, assume the frontier of “AI + film/TV” will be defined by a few deep lab–studio alliances, and plan your own partnerships or differentiation accordingly.
Applied AIRunning on-premise in an agentic world
If your agents depend on frontier models and rapid iteration, on‑prem becomes a governance and latency hedge, not a performance play. Treat local deployment as a targeted control surface for specific data and workflows, while assuming the center of gravity for capability stays in the cloud.
Applied AISAP freezes hiring and travel to shovel cash into AI
SAP redirecting headcount and travel budgets into AI is a clear signal: even mature software vendors are funding AI by cannibalizing OpEx, not just raising new money. If you sell into enterprises, expect similar belt‑tightening — your champion’s T&E and hiring lines may be shrinking while AI POCs and licenses get protected.
Applied AISAP wants workers to create new AI-powered jobs, slashes travel and expenses budgets to up AI spend
Budget is moving from discretionary OpEx — like travel and T&E — into AI headcount and tooling, which means internal projects are now competing directly with line-item perks. If you’re pitching non‑AI initiatives inside a large enterprise, assume a higher bar and explicitly tie them to AI leverage or enablement.