ShiSh distills his latest posts on emerging tech, agentic AI, and high-impact startups into fast, AI-powered audio TLDRs. Insights at the speed of change.
Businesses frequently focus too heavily on cost reduction when implementing new technology, assuming that maximizing efficiency is the only goal of automation. However, companies can instead utilize newly gained capacity to tackle the Undone List, which encompasses valuable tasks, customer segments, and inquiries that previously lacked the resources to address. By examining corporate failure logs and underserved demographics, organizations can discover hidden opportunities rather than merely shrinking their workforce. For instance, Ingka Group, Walmart, and Estée Lauder successfully leveraged artificial intelligence to reinvent customer service, vendor negotiations, and product accessibility. Ultimately, leaders should strategically direct liberated time toward business expansion and serving neglected markets instead of defaulting to endless budget cuts.
24 Oct 2026
The Middle and the Edge: Automation and Organizational Design
The provided text examines how artificial intelligence fundamentally transforms modern organizational design through two distinct operational fronts: automating the coordination middle versus the execution edge. Companies like Block are eliminating traditional management layers by replacing human communication with real-time operational models, whereas businesses like Ikea and Walmart retain their workforce at the edge to handle complex relational tasks while AI absorbs repetitive duties. The author argues that simple reskilling frameworks work effectively when transitioning edge employees into new growth roles, but fail for managers whose primary job was coordination itself. Furthermore, integrating autonomous agents introduces unresolved challenges regarding human oversight limits, shifting accountability, and maintaining traditional pathways for senior apprenticeship. Ultimately, organizations must shift from static reporting hierarchies to dynamic work charts that map tasks fluidly across humans, agents, and robots to fuel long-term expansion.
23 Oct 2026
From Supervised Assistance to Trusted Autonomy
As artificial intelligence transitions from basic Q&A assistants to independent systems executing complex business workflows, earning trusted autonomy requires a gradual, evidence-based approach rather than relying on initial demonstrations. Companies should begin by deploying supervised operations where human experts carefully review every recommendation to build a reliable real-world performance record. Furthermore, analyzing disagreements between human intuition and machine logic helps identify contextual gaps, refine operational rules, and improve ultimate decision-making for both parties. Organizations must establish a rigorous autonomy readiness gate that evaluates potential risks, operational boundaries, and failure costs before granting independent execution rights within a specific scope. Finally, because commercial environments constantly shift, agents must exhibit the competence to recognize uncertainty and escalate difficult dilemmas to humans while remaining under continuous oversight so that privileges can be dynamically adjusted or revoked.
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