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AGI READINESS / ACROSS THE WORLD OF WORK

Beyond execution.
Exercise judgment.

For the entire IT industry: business and administration, accounting and finance, development and research, consulting and analysis, architecture and engineering, product and project management, managers and leaders. Explore what human agency means when AGI could execute work across these functions.

Working premise: imagine AGI performs most routine and complex execution across an organisation. This is a scenario for preparation, not a claim that AGI has already replaced those jobs. The exercises do not guarantee career security.

01 / PRACTICE LAB

Think first. Then challenge.

Hypothetical AGI scenarios, not live model outputs.
No API key or paid model needed.

02 / AGI READINESS

Prepare beyond task execution.

Across every function, practise framing goals, judging evidence,
resolving trade-offs, and governing delegated work.

WEEK 1 / UNDERSTAND

Map your actual work.

Map five responsibilities in your field. Imagine AGI can execute the associated tasks. Identify the goals, values, consequences, and accountability that still need deliberate governance.

WEEK 2 / EXPERIMENT

Compare ways of working.

Compare slow, uneven, and rapid AGI adoption scenarios. Explore effects across finance, people, customers, products, and operations. Identify choices that remain useful under several futures.

WEEK 3 / STRENGTHEN

Practise the weak point.

Choose a cognitive practice: problem framing, causal reasoning, systems thinking, ethical judgment, negotiation, or metacognition. Apply it outside your usual department and explain your reasoning without assistance.

WEEK 4 / DEMONSTRATE

Build evidence of judgment.

Create a decision brief: objectives, stakeholders, alternatives, assumptions, evidence, and review triggers. Show how you would retain agency and revise your decision as capabilities and conditions change.

03 / RESEARCH LIBRARY

Separate evidence from scenarios.

Current AI studies inform specific design choices.
They do not establish how future AGI will affect people.

Evidence boundary

Our focus is AGI readiness. Research on today’s generative AI and human–AI collaboration offers bounded observations, not proof about future AGI or ASI. AGI scenarios in the lab are original thought experiments. Test their assumptions rather than treating them as findings.

Read beyond the brand name

Compare study designs, populations, controls, measures, and limitations. A preprint, a narrative review, and an experiment answer different questions. ResearchGate can help locate author copies; verify citations against the original publication.

04 / YOUR RESEARCH NOTEBOOK

Make your thinking traceable.

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Add reproducibility details

Do not store credentials or confidential work data here. This is a personal learning notebook, not a secure institutional research repository.