Insights from Vector Space
Insights, scenarios and models to help you understand how artificial intelligence
is transforming the way organisations work.
Synthetic data is changing how AI gets trained
Synthetic data is artificially generated data used to train AI models, preserve privacy, and test systems. How it works, where it's used, and why adoption is growing in regulated sectors like healthcare and finance.
Companies fight back against low-quality AI content
By 2030, 80% of companies will adopt an antislop manifesto to combat the overload of poor AI content. What it is, how it works, and why it's becoming a matter of reputation and compliance.
When AI gets trapped inside individual applications
By 2027, 80% of companies will have AI siloed by application, limiting intelligence sharing across departments. What siloed AI is, why it forms, and how to break free.
MCP, the standard connecting AI models to enterprise data
The Model Context Protocol is the emerging standard that allows LLMs to access external data and tools in a standardized way. What it is, how it works, and why major vendors are already adopting it.
RAG reduces AI model hallucinations
Retrieval-augmented generation anchors LLMs to verified sources, reduces hallucinations, and enables AI to respond with real, up-to-date data. How it works and why it has become the standard for enterprise AI applications.
Four GenAI skills every worker must master
Gartner has identified the four generative AI skills workers need to develop in 2025: recognizing use cases, understanding the technology, writing effective prompts, and evaluating results. A practical guide for CIOs and HR leaders.
How to write prompts that produce useful results
Prompt engineering is the skill that separates those who get real results from AI from those who get generic outputs. How the Gartner ReFLECT framework works and why prompt quality changes everything.
Managers and employees don’t use AI the same way
Managers who use AI daily are 3.6 times more productive than their peers. Employees, on the other hand, receive no guidance or support. The AI productivity gap is not a technology problem.
Putting AI on the org chart is a costly mistake
Organizations that place AI agents on the org chart see 15% lower employee engagement. Gartner data on why treating AI as a colleague is a counterproductive strategy.
Your company wants to create a digital copy of you
By 2028, at least one major company will claim the right to create and maintain AI avatars of all its employees. What they are, how they work, and why employment contracts are not yet ready.
Without AI governance, companies face serious risk
By 2027, AI governance becomes a regulatory requirement. What AI governance means, how to build an effective framework, and why those who do not prepare today will find themselves in trouble.
They fired them for AI, then called them back
By 2029, 30% of companies that replaced employees with AI will rehire them, often at a higher cost. Gartner data on a strategic mistake that is spreading.
Using too much AI weakens your cognitive abilities
Cognitive offloading through generative AI increases efficiency but reduces working memory, decision-making abilities, and professional identity. Gartner data on a risk that few organizations are managing.
