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!
If you prefer listening, check out our podcast summarizing the most relevant insights from Strategy & Consulting CW 48/ 49:
Agentic AI, Operating Models, and Talent
Agentic AI is now framed as an enterprise operating layer rather than a productivity add-on
Human roles are shifting toward judgment-heavy, client-facing, and accountability-critical work
AI-native operating models are emerging as the main lever for measurable throughput and cycle-time gains
Multi-agent workflows are appearing first in marketing, commerce, and procurement where decisions are repeatable
Data readiness and clean decision logic are highlighted as the difference between scaling signal vs. scaling noise
Consulting Business Model and Talent Reset
The market is splitting between time-based delivery and faster productized or platform-led models
Value-based pricing is rising as clients seek outcome transparency rather than effort proxies
Talent momentum favors firms that offer modern AI-enabled delivery, rapid learning loops, and credible career paths
Leadership quality and sharp problem framing are treated as the enduring differentiators—not access to tools
Functional specialists are being elevated into strategy, transformation design, and change leadership roles
Firm Thought Leadership, Products, and Partnerships
Major firms are amplifying AI research, sector playbooks, and IP to shape client agendas
Hyperscaler and data-platform ecosystems are expanding as the pragmatic route to industrialize agentic solutions
Targeted acquisitions are securing data foundations, metadata layers, and governance capabilities
Industry events are operating as proof arenas for new propositions and magnets for clients and top talent
Economics, Risk, and Trust
AI economics are being assessed more critically, with hidden delivery costs and value leakage being surfaced
Traditional assurance cycles are viewed as too slow, pushing firms toward continuous validation models
Cyber resilience concerns are moving into core strategy as AI increases failure blast radius
Responsible AI governance is now seen as a prerequisite for scale, especially where regulated decisions are involved
Europe, Regulation, and Sustainability
Europe is viewed as being at a strategic inflection point requiring bolder coordinated investment
Fragmented decision-making and risk-averse financing are acting as structural drags on innovation speed
Sustainability is tied to industrial competitiveness and data-driven transformation- not treated as a standalone story
Trade and industrial policy signals are shaping near-term client priorities and advisory demand
Reuters NEXT New York
AI was framed as an enterprise operating model, with JPMorgan Chase cited as the benchmark for scaled execution
Agentic and multi-agent systems were positioned as the next step for complex workflow orchestration
Strong data management and governance were emphasized to prevent agents from amplifying noise over value
AI in KYC and financial crime showed promise but deployment is slowed by regulation and operational readiness
Security leaders advised beginning adoption with critical assets due to ongoing vulnerabilities
Large firms such as Deloitte are embedding AI into consulting offerings, delivery models, and talent pathways