Rewired

Strategic Center Evaluation

Adjacent Publisher Context

The following materials are published by McKinsey & Company and address topics relevant to the Five Forces, but are not explicitly positioned as components of the Rewired framework. They are not included in the /25 coverage score above.

Narrative Strengths & Gaps

Internal Pressures & Capabilities (5/5). This is the framework’s centre. The six capabilities “reinforce each other” and “take time to build”, and the stage table gives each one a concrete form at each stage: the operating model, for example, moves from agile teams to a domain-and-platform model to an “agent–human model, flatter organization, smaller teams” [The new management playbook for AI]. The manifesto adds specific targets, such as the “30–70 shifts” (more than 70 percent of tech talent in-house, more than 70 percent of them engineers who build, more than 70 percent at competent or expert level), and closes each of its twelve themes with a question an organisation can put to itself [The AI transformation manifesto]. The operating model article supplies a sequence (“Redesign workflows first, build the supporting talent model second, and select technology third”) and a dual operating model in which agile pods run inside selected domains while the core business continues [The operating model advantage]. The people articles add a “nerve center” of business, finance, HR, technology and operations leaders who set common adoption metrics [Rewired takes: Practical people lessons]. Domain-reimagination steps and detailed templates sit in the book; the value–feasibility matrix for prioritising domains appears publicly only in a March 2024 first-edition excerpt that falls outside the 24-month window and may not reflect the second edition [Choose the right transformation ‘bite size’, potentially outdated].

Global & Geopolitical Dynamics (0/5). No Tier 1 source addresses national AI strategies, sovereignty, cross-border data or export controls. The framework’s scope is what an enterprise builds inside its own walls; where market-by-market differences appear, as in LATAM’s expansion, they are handled as an architecture question [The new management playbook for AI].

Societal & Regulatory Pressures (3/5). The manifesto gives trust its own theme: “No trust, no right to deploy AI.” It names the stakeholders whose trust is at risk when AI fails (customers, regulators, employees, partners and society at large), defines digital trust through data protection, cybersecurity, trustworthy AI products and transparency, and calls for more time testing agentic systems and automating risk controls [The AI transformation manifesto]. Its closing question, “Would your AI deployments withstand public, regulatory, and customer scrutiny today?”, is a directional test rather than a compliance method [The AI transformation manifesto]. LATAM’s handling of “different payment systems and regulatory constraints” across markets shows regulation treated as an architecture requirement [The new management playbook for AI]. Specific regulatory regimes and responsible-AI governance processes sit outside the framework’s public material.

Industry & Competitive Pressures (4/5). Competitive reasoning runs through the framework. The manifesto describes “an innovation race with companies that have access to the same technologies” and directs effort to each business model’s “economic leverage points” [The AI transformation manifesto]. The operating model article argues that advantage is moving “away from the tools themselves and toward the organizations that deploy them”, that efficiency gains will become table stakes, and that rewiring builds a “capability moat” from which harder-to-replicate advantages follow, and it gives three criteria for choosing differentiating domains: economic leverage, proprietary data assets and workflow complexity [The operating model advantage]. The playbook adds the economics of 20 companies that, on average, lifted EBITDA by 20 percent and realised $3 of incremental EBITDA for every $1 invested [The new management playbook for AI]. The criteria are directional; structured methods for reading competitors, vendors and profit pools appear in adjacent McKinsey publications rather than in the framework itself (see Section 2.75).

Human Needs & Aspirations (3/5). Customers and the wider public appear in two ways. The manifesto ties the right to deploy AI to the trust of customers and society, and lists “maniacal focus on the customers/users” among the traits of the 20 companies studied [The AI transformation manifesto]. In practice, DBS organises cross-functional teams around customer journeys such as opening an account or buying a home, and LATAM focused its transformation on passenger experience [The new management playbook for AI]. The people articles note “enormous growth in demand for AI-related skills” in the external talent market [Rewired takes: Practical people lessons]. Public concern about displacement, and citizens’ wider aspirations for AI, appear mainly as internal leadership themes (employee anxiety, reskilling), which this lens places under Internal Pressures & Capabilities.

What this framework does not give you. A way to choose your own destination; it supports progress toward the agentic AI enterprise, with leaders setting the aspiration and choosing domains within that path. An enterprise that has not stated its own ambition cannot check whether this destination is the right one for it. Treatment of global and geopolitical dynamics. Sovereignty, cross-border data rules and export controls can change which AI an enterprise can use, and where.

The framework suits CEOs and leadership teams of large enterprises that have moved past pilots and want a capability-building route to enterprise-wide value, and whose ambition fits sustained, domain-by-domain reinvention measured in EBITDA. Its stage table, the manifesto’s twelve checklist questions and its operating-model guidance are its most practical public assets. The Five Forces lens adds the external dimensions it leaves open or treats lightly: geopolitics and sovereignty, specific regulatory regimes, and the wider expectations of prospective employees and the public.

Sources

Tier 1 (scored), recency-gate pass unless noted:

1. Rewired: How Leading Companies Win with Tech and AI – April 2026 (second edition); canonical anchor; book landing page with authors and related articles; link verified manually
2. The AI transformation manifesto – 7 April 2026; linked from the canonical page; excerpted from the second edition; link verified manually
3. The operating model advantage: Why AI winners are rewiring their organizations – 7 July 2026; contains the “McKinsey’s Rewired framework” sidebar; link verified manually
4. Rewired takes: Practical people lessons for scaling AI adoption – 13 July 2026; part of the Rewired takes series; link verified manually
5. Rewired takes: How AI is unlocking creativity and heralding the rise of the agent manager – 27 July 2026; part of the Rewired takes series; link verified manually
6. The new management playbook for AI: How to move faster and create more value – 28 August 2026; by the book’s authors; six capabilities and three-stage table; link verified manually

Tier 2 (reported in Section 2.75, not scored):

1. Building leaders in the age of AI – 12 January 2026; link verified manually
2. From promise to impact: How companies can measure—and realize—the full value of AI – 24 April 2026; link verified manually
3. Where AI will create value—and where it won’t – 29 April 2026; link verified manually
4. From AI table stakes to AI advantage: Building competitive moats – 15 May 2026; link verified manually
5. The state of AI in 2026: On the road to ROI – 25 August 2026; link verified manually

Tier 3 (third-party corroboration, not scored):

No third-party sources were used.

Excluded on recency or quality (not scored):

1. Choose the right transformation ‘bite size’ – 27 March 2024; outside 24-month window; first-edition book excerpt, not linked from the canonical page in its July 2026 archived copy; link verified manually
2. Rewired to Outcompete (archived copy) – 20 June 2023; outside 24-month window; no longer linked from the canonical page