Generative AI is beginning to erode some of the most entrenched business models of the last century. Where traditional competitive moats relied on scale, distribution, information asymmetry, or regulatory capture, AI is flattening those advantages. What once seemed unassailable is now vulnerable.

This series explores how AI is reshaping industries not by incremental efficiency gains, but by dismantling the very structures that created durable equity value in the first place. The common thread: AI collapses barriers to entry, redistributes power, and creates space for small, nimble actors to compete with, or even replace, incumbents.

The Core Thesis

Most legacy business models share a common foundation: they controlled the first step in the customer journey (search, discovery, or access) and extracted value through aggregation. AI undermines this control by allowing consumers and businesses to bypass the gatekeepers and move directly to optimal outcomes.

This shift does more than disrupt individual companies, it also changes the geography of global commerce. Power tilts away from monolithic institutions and toward decentralized ecosystems, where SMEs and independents can thrive on equal footing. Nations and cities that once competed to host multinational headquarters may instead compete to host the AI ecosystems that enable these SMEs worldwide.

Where We’re Going

Upcoming posts will map out how this plays out sector by sector:

• Part II — Search Engines: AI as the new interface, eroding the advertising-funded discovery model.
• Part III — Social Platforms: AI bypassing algorithms, shifting power back to users.
• Part IV — Marketplaces: AI shopping agents undermining demand capture and loyalty loops.
• Part V — Banks & Fintech: Balance sheets remain moats, but AI-enabled switching reframes banks as utilities.
• Part VI — Consulting: Proprietary knowledge bases commoditized; networks of independents emerge.
• Part VII — Interlude on Productivity: AI as a democratizer of value creation, breaking bureaucratic bottlenecks and boosting productivity across economies.
• Part VIII — SMEs & Global Hubs: How AI could enable an explosion of SME activity while eroding multinational dominance, and how global centers may reposition as AI enablers rather than hosts of corporate giants.
• Part IX — Healthcare & AI Diagnostics: From centralized hospitals to distributed care networks.
• Part X — Education & Credentialing: When credentials lose their exclusivity, what remains?
• Part XI — Creative Industries: Compression of production advantages and rise of independent creators.
• Part XII — Professional Services: AI encroaches on codified expertise in law, accounting, and compliance.
• Part XIII — Trade & Supply Chains: Transparency, interoperability, and SMEs plugging into global flows.

Why This Matters

At stake is not simply who wins within an industry, but the re-architecture of economic value creation. Equity markets, policymakers, and entrepreneurs all face the same reality: moats are becoming porous, and productivity gains may redistribute wealth more broadly than in past waves of innovation.

The lesson for leaders is clear:

• Competing on control of access is a losing game.
• Durable advantage will come from indispensable infrastructure, trust, and service layers.
• The geography of value is shifting, rewarding ecosystems that enable SMEs globally rather than those that merely host large incumbents.

This is not just disruption, it is a reframing of capitalism itself in the AI era.