AI changes the value of our work

As AI takes on some knowledge tasks, expectations of people and companies change. I connect research on that shift with experiences from building aiomics: what will customers continue to pay for, how can people take on more responsibility, and what must organisations do to turn that into better results?

From technical capability to economic consequence

A faster draft leaves open the question of who benefits. This talk follows the path from an individual task through teamwork to prices, professional roles and customer expectations. It helps an audience locate where AI changes the value of its own work.

An example from building aiomics

An experienced assistant used AI and company knowledge to prepare an application seeking one million euros in funding, largely independently. We examine the role of experience, access to information and review of the result. The focus is on how someone can undertake a demanding task with clear responsibility.

The question for your company

Which service becomes easier to obtain, and what will your customers continue to pay for? We distinguish completing a task, producing a usable result and creating economic value. That distinction helps an audience discuss AI without turning a successful demonstration into a prediction about an entire profession.

The arguments and their sources

These articles develop the questions behind the talk. They include the research used, its limitations and practical questions for your organisation.

• AI makes the task easier. How should collaboration change?
• AI and early careers: how leaders can read conflicting employment evidence
• AI saves ten minutes. What happens next?

What your audience takes away

• Examine your work through its contribution to a completed result.
• Understand changing professional roles and customer expectations.
• Identify practical next steps for learning and organising work.

A subject, shaped together.

In preparation, we discuss the audience, occasion and decisions your organisation faces. We choose examples and a clear emphasis around them. Talks often last 30 to 60 minutes followed by questions. The format suits company events, leadership meetings and professional conferences; language and duration are agreed together.