🦞 Software Loses Its Head
Good Morning, OpenClaw Owners!
The moat is no longer software people click. It is work that actually gets done.
Software Loses Its Head
TL;DR: a16z partner Seema Amble argues agents weaken UI muscle memory as a SaaS moat, but make operational logic, permissions, compliance, context, proprietary data, action loops, and real-world execution more valuable and the new moat. As incumbents like Salesforce go headless, the next systems of record may become agentic infrastructure, not human-facing dashboards. Read more →
AI Buys the Company
TL;DR: Long Lake Management’s reported $6.3 billion take-private of Amex GBT frames a new AI playbook that stop selling software into resistant enterprises and buy the companies instead. Its thesis is that ownership, embedded engineers, shared AI infrastructure, and long-term holding can turn traditional service businesses into faster-growing, AI-native operating companies. Read more →
Price AI Like Labor
TL;DR: Luke Sophinos recapped a conversation with a16z’s David Haber arguing that vertical AI should stop selling like SaaS and start capturing labor budgets. When software performs the work itself, the best opportunities are labor-heavy workflows with messy intake, lost context, clear outcomes, and margins that improve as automation deepens. Read more →
Agentic Ads Move Fast
TL;DR: Digiday and Optable surveyed 180 agencies, publishers, brands, and retailers, finding agentic advertising still early but moving fast. Advertisers and agencies lead adoption, with 89% and 92% using or building AI agents, while publishers lag at 29% due to tech complexity, readiness gaps, unclear standards, and governance concerns. Read more →
Agents Becomes Enterprise Priority
TL;DR: TechRepublic summarized ESG research from 350 North American AI-agent stakeholders, finding 80% of organizations now rank AI agents as a top or high enterprise AI priority. Adoption is already moving, with 51% actively deploying agents, 27% piloting, and 42% budgeting at least $1 million, while security, oversight, IT leadership, and partners shape rollout.
Agentic Ads Find Their Line
TL;DR: Duluth Trading Company is showing a practical path for agentic advertising: let AI agents handle bidding, creative iteration, and operational speed, while humans protect brand voice, humor, and storytelling. Instead of rejecting agents or handing them everything, Duluth treats them as execution partners that free marketers to focus on strategy and judgment. Read more →
Agents Need a Stack
TL;DR: Social Capital founder Chamath argues AI agents are not a chatbot upgrade but a new execution stack for software and knowledge work. Looking across OpenClaw’s rise, coding-agent adoption, enterprise deployment gaps, and real production failures, he says models may commoditize while lasting value concentrates in the harness layer: memory, tools, oversight, execution, and recovery. Read more →
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