Best of LinkedIn: Strategy & Consulting CW 10/ 11

AI is shifting strategy from periodic planning to continuous decision systems. At the same time, tools, governance models, and capability building are being redefined to match this new speed and decentralization. Firms that translate these shifts into operating models gain a structural advantage.

Date

March 19, 2026

Strategy & Consulting

Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!

‍

Listen to our podcast

If you prefer listening, check out our podcast summarizing the most relevant insights from Strategy & Consulting CW 10/ 11:

AI and Strategy Transformation

AI is fundamentally reshaping strategy work, with a large share of activities becoming automatable or significantly augmented
Strategy is shifting from periodic planning cycles to continuous, real-time decision systems embedded across the organization
Decision-making is becoming more decentralized as AI enables broader access to insights beyond central strategy teams
Competitive advantage is moving from analytical capability toward governance, decision rights, and execution discipline

‍

Operating Model and Governance

Traditional strategy governance models are increasingly becoming bottlenecks under accelerated AI-driven decision cycles
Fragmented ownership of AI across functions creates risks around accountability and inconsistent strategic direction
Organizations are moving toward dynamic resource allocation, replacing static annual planning approaches
Leadership roles are evolving toward orchestrating AI-enabled decision systems rather than producing strategy content

‍

Consulting Craft and Capability Building

AI is emerging as a training tool, enabling simulation of realistic client scenarios and structured problem-solving environments
Learning cycles for consultants are significantly shortened through hands-on experimentation and scenario-based practice
Early exposure to simulated workshops improves readiness for real client engagements and decision contexts
Real-world complexity such as stakeholder dynamics and conflicting priorities remains a critical differentiator

‍

Tooling and AI Ecosystem Evolution

Switching behavior between AI tools is increasing, driven by trust, ethics, and feature differentiation
Memory and personalization capabilities are becoming critical in shaping user preference and productivity
AI tools are evolving into integrated knowledge systems that retain context and improve continuity of work
Platform competition is intensifying as vendors differentiate on usability, reliability, and enterprise readiness

‍

Core Strategy Foundations Remain Critical

Established valuation methods such as DCF and comparables continue to anchor strategic and financial decision-making
Structured frameworks remain essential to navigate increasing complexity and ensure consistent analysis
AI-driven insights require strong financial and strategic grounding to translate into actionable decisions
The combination of advanced tooling and disciplined thinking defines high-quality strategy work going forward

‍

Subscribe to newsletter

Subscribe to receive the latest blog posts to your inbox every week.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.