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 Artificial Intelligence CW 49/ 50:
AI Strategy
Enterprises recognise that AI underperformance comes from weak execution and governance rather than model quality
Leadership is pushed to start with sharp workflow pain points, prove value and scale in controlled waves
Boards are urged to treat AI as a governed asset class with clear accountability and profit focus
A dedicated “AI governor” role is emerging to own portfolio decisions and cross functional alignment
Governance & Trust
The EU AI Act anchors European debate, with “high risk” classification shaping product and process design
ISO 42001 is positioned as the operating system for responsible AI and EU AI Act compliance
Practitioners recommend demanding responsible AI documentation from vendors as standard practice
Studies highlight a persistent gap between governance intent and implementation across large organisations
Agentic AI
Attention shifts from single models to agentic stacks that plan, coordinate and learn within workflows
Security experts flag cross user prompt injection and stress dynamic data access controls for agents
New orchestration layers such as Agent 365 aim to manage fleets of enterprise AI agents at scale
Early adopters already report tangible ROI, treating agents as teammates that augment human judgment
AI In Sectors
Banks and fintechs are challenged to move beyond complex legacy programmes toward lifestyle ecosystems
Legal firms and insurers embed GenAI in operations, while preparing for tighter EU AI Act scrutiny
Education pilots show human AI collaboration improving outcomes for underserved students in real time
Collaboration platforms extend AI from meetings into task automation, progress tracking and team support
Infrastructure & Models
European LLM efforts emphasise efficiency, transparency and diversity instead of pure parameter scale
AI infrastructure is framed as a macroeconomic growth engine with sizeable long term market expansion
Oracle’s deep engagement around OpenAI raises questions on business model resilience and dependence
Open standards such as the Model Context Protocol seek to make AI infrastructure more interoperable
EU Law & IP
Experts advise checking AI Act scope and risk tiers before launching large compliance projects
Italy’s AI law stresses democratic governance and sovereignty, signalling a distinct regional path
German court rulings treat AI memorisation of copyrighted content and lyrics as infringement
The Digital Omnibus and EU studies aim to clarify AI related copyright and data ecosystem rules
Engineering & Security
Software engineering roles shift from hands on coding to steering AI supported delivery pipelines
Coding assistants accelerate development but require robust guardrails to protect quality and reliability
Classic vulnerabilities such as SQL injection, XSS and CSRF remain common despite modern tooling
Secure by design practices and developer education are still viewed as primary defence lines
Workforce & Ethics
Analysts warn of jobless growth if productivity gains outpace creation of new, quality roles
Narratives that reduce labour to cost are criticised for dehumanising work in AI transformation
Heavy Gen Z reliance on AI for social, health and career decisions is flagged as a systemic risk
Proposals include labelling AI generated content and tightening oversight on biased or opaque systems
Global Outlook
High income countries accelerate on AI readiness, while low income regions risk falling further behind
Curated AI reading lists aim to broaden understanding beyond technical communities and hype cycles
European and global outlooks underline how AI is reshaping work, creativity, healthcare and the web
US policy debates juggle innovation ambitions with the need for legal clarity and public trust
Enterprise Playbook
AI choices must match cost, latency, privacy and risk requirements rather than chasing generic solutions
Teams are advised to embed regulatory and ethical constraints directly into product and process design
Domain specific language and precise prompts are used to steer outputs and reduce hallucinations
Shadow AI is treated as an IP and compliance risk, with controlled environments promoted as countermeasure
Want to see the posts voices behind this summary?
This week’s roundup (CW 49/ 50) brings you the Best of LinkedIn on Artificial Intelligence:
→ 64 handpicked posts that cut through the noise
→ 32 fresh voices worth following
→ 1 deep dive you don’t want to miss