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Insights & perspectives

Shaping the future of work and competence as a system.

Through articles, analyses, and metacognitive reflections, Erigo explores competence as a structural driver for organizations and society. The texts span from practical insights to systemic perspectives, creating a space where knowledge becomes both measurable and meaningful.

When AI stops agreeing

When AI stops agreeing

Our protection has been knowing it can be wrong.

The new generation of language models is actively trained away from agreement. Anthropic's Claude Fable 5, relaunched in July 2026, is the clearest example so far:

Sycophancy means agreement

Sycophancy means agreement

A technical word for a familiar phenomenon.

The word sycophancy has circulated in AI research for several years. It appears in papers, in model evaluations and in technical documentation from the major AI companies, and over the past year it has stepped into the broader conversation about how language models affect us. The word sounds specialised, like a property only researchers can measure and only engineers can fix.

AI as a truth oracle

AI as a truth oracle

When we anchor real decisions in a model that mirrors and amplifies

I have helped people start using AI. Over the years I have carried the knowledge of language models forward, shown what they can do, opened the door, made them useful in everyday life. Part of what I set in motion is now unfolding into something else.

Cognitive Infrastructure

Cognitive Infrastructure

The fourth layer organizations own without knowing it

Every organization recognizes three layers of infrastructure it has to build and maintain. The physical layer of buildings, machines, and power. The IT layer of networks, servers, and systems. The data layer of records, pipelines, and governance. Each has an owner, a budget, a depreciation schedule, and someone accountable when it fails.

Psychological safety belongs with AI

Psychological safety belongs with AI

Who dares to say stop when the output falls short?

At Stockholm Tech Show in May, Dr. David Barnes delivered the opening keynote. Barnes is a Brigadier General (Ret.) and former Chief AI Ethics Officer of the US Army, where he developed the Army's Responsible AI Strategy. Today he advises leadership teams on organizational readiness for AI, one step upstream from implementation itself.

We build because we want to shape what comes next

We build because we want to shape what comes next

Erigo VR Campus, Immersive North, and the case for experimenting forward. Earlier this month, Immersive North took place at Epicenter Stockholm. A full-day convergence hosted by Immersive Sweden, gathering research, industry, design and experimentation at the frontier of what is being called immersive intelligence.

Is your colleague writing, or is it ChatGPT?

Is your colleague writing, or is it ChatGPT?

And does it matter?

Ten markers, six mechanisms, seven tips for writing like a human again A few years ago I received an email that was clearly written by an LLM. It made me pause and consider what kind of communication I should respond with. If the sender did not take the time to write it themselves, what obligation did I have to spend my own time on a reply? I dropped it into my own model and sent something back. This is what much of our communication looks like today. It is becoming the norm, but is it the norm we actually want?

When AI is measured in time saved

When AI is measured in time saved

Interpretation becomes a cost

Companies report that AI saves employees 40 to 60 minutes a day. At the same time, 80 percent of companies report no measurable productivity gain at the company level. The space between the two is the time people spent thinking, interpreting, and questioning. Who owns that time now?

The Confirmation Machine

The Confirmation Machine

Synthetic safety, the interpretive gap and the MIT paper that confirms

For nearly two decades, I have worked with how digital systems affect human behaviour and cognition. When language models entered the market, I began systematically crossing neuroscience, behavioural research and LLM architecture to understand what actually happens when people converse with AI.

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