Best of LinkedIn: ICT & Tech Insights CW 23/ 24

The last two weeks were defined by a shift from technology narratives to execution pressure. AI agents, quantum readiness, cybersecurity resilience, digital sovereignty, and edge infrastructure all moved closer to board, budget, architecture, and operating model decisions.

Date

June 19, 2026

ICT & Tech Insights

Thomas Allgeyer

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 ICT & Tech Insights CW 23/ 24:

‍

Cybersecurity, Resilience and Regulation

AI agents are becoming an accountability topic, with autonomous systems now able to move money, grant access, and ship code without direct human control
Board-level cyber governance is shifting from policy ownership to named operational accountability for agent behavior, escalation, limits, and shutdown rights
DORA and NIS2 remain central ICT risk topics, with attention moving toward practical reporting templates, incident root causes, supplier risk, authentication, and change control
Cyber resilience is being framed as more important than pure prevention, with recovery speed depending on practice, crisis routines, and clear communication
Security basics remain a recurring weak point, including weak passwords, unpatched systems, unmanaged access, and delayed control implementation
AI-enabled threats are accelerating vulnerability exploitation, reducing patch windows and increasing pressure on security teams to detect, prioritize, and act faster
OT cybersecurity became a major market focus through Accenture’s Dragos move and broader critical infrastructure security positioning
Cyber insurance is becoming a governance discipline, requiring accurate annual questionnaire reviews to avoid claim disputes

‍

AI Agents, Architecture and Operating Models

AI is moving from assistance to autonomy, forcing organizations to redesign leadership, trust models, team structures, and control mechanisms
Agentic AI is being positioned as a workflow architecture topic, not a chatbot extension
RAG, AI agents, MCP, and A2A are increasingly seen as complementary layers in broader AI architectures
The most valuable AI work is moving toward scenario modeling, process redesign, data quality, and decision support rather than text generation alone
AI security is creating a new talent gap between AI engineers and cyber teams, with demand for roles that understand both model behavior and attack surfaces
Software delivery expectations are shifting toward stronger specifications, clearer system design, and better architecture governance
Prompting remains relevant as an interface, while architecture, controls, and operating models are becoming the more durable sources of leverage

‍

Quantum Computing and Post-Quantum Readiness

Quantum moved strongly from research narrative to industrial execution, with emphasis on manufacturing, packaging, supply chains, and systems integration
US government funding, US-Japan collaboration, IBM commitments, and private-sector investments signal that quantum is becoming a strategic infrastructure priority
Post-quantum migration is increasingly framed as a CFO and budget issue, not only a CIO or CISO topic
Quantum readiness requires asset discovery, modernization, procurement planning, workforce investment, and cryptographic migration funding
HPE’s expanded collaboration with quantum hardware vendors and the IQM-HPE quantum-HPC demonstration show growing momentum around hybrid quantum-classical architectures
Atom Computing, Quantinuum, QEC Labs, MIT, IBM Heron research, and Q-EDA concepts point to progress across logical qubits, error correction, quantum circuits, and chip design
Industry guidance is converging on early experimentation instead of waiting for fault-tolerant quantum systems
Quantum-AI governance remains underdeveloped, creating a gap between technical acceleration and global oversight frameworks

‍

Data Centers, Edge and Physical Infrastructure

AI workload growth is pushing data center architecture toward higher power density, new cooling requirements, modular builds, and distributed infrastructure
Edge computing is becoming more important as latency-sensitive AI, IoT, public safety, telecom, utilities, and industrial use cases cannot rely only on centralized cloud
The future data center is being described as a distributed ecosystem, combining hyperscale AI campuses, edge facilities, and specialized infrastructure modules
Physical infrastructure is becoming a strategic bottleneck as energy, chips, cooling, grid constraints, and materials shape the economics of AI
Orbital and grid-edge compute concepts indicate that compute location is becoming a competitive variable, not just a technical design choice
Micro edge units and outdoor enclosures show continued product-level activity around distributed compute and networking infrastructure
Telcos are moving beyond connectivity by combining network assets with cloud, edge, and data capabilities

‍

Digital Sovereignty and European Tech Strategy

Digital sovereignty emerged as a central European theme, linked to cloud, AI, chip supply, procurement, partnerships, and execution capacity
The EU Tech Sovereignty Package is positioned around sovereign cloud and chip supply audits, turning sovereignty into a procurement and resilience topic
Europe’s digital progress shows strength in 5G and AI, while dependency gaps remain around chips and cybersecurity
Franco-German cloud and AI collaboration is framed as a route to making sovereignty a competitive advantage
Germany’s Soofi S foundation model highlights the move toward sovereign AI models trained on European infrastructure
Sovereignty is being positioned less as a political declaration and more as an execution challenge across technology, partnerships, and operational delivery

‍

Digital Transformation, Data and Leadership

Digital transformation is repeatedly framed as a governance and culture challenge rather than a technology purchasing exercise
Clean data, process discipline, readiness, and leadership alignment are presented as prerequisites for successful AI adoption
Independent transformation advice is highlighted as important where software sales incentives could distort technology decisions
Data work is moving back toward human judgment, clearer governance, and architecture discipline
Executive communication remains a core capability, especially in cybersecurity where reports and emails must translate risk into action
Strong technical roles, such as ISSOs, are expected to understand networks, systems, and technology foundations, not only compliance frameworks

‍

Sector and Use-Case Signals

Healthcare is highlighted as a field where AI and quantum can affect clinical care, research, and administrative workflows
Public safety communications are advancing through 5G, MCx, drones, and quantum-safe 6G discussions
Smart grids are presented as a promising quantum use case for optimization, simulation, and fault detection
Automotive cybersecurity remains relevant through practical offensive security techniques for modern vehicle systems
Sports technology, including the FIFA World Cup, shows how AI, IoT, edge systems, smart balls, robots, and referee cameras translate ICT innovation into live operational environments

‍

Subscribe to newsletter

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