TI CEO Podcast · episode 48
Do less yourself, review more
1-minute summary
In this episode, Christoph Standl talks about how work is currently changing fundamentally through artificial intelligence. He describes a custom skill his team built to generate visualizations of their infopoints, explaining that a skill is essentially a reusable set of instructions for AI, storing knowledge and rules once so they can be applied and refined repeatedly. He points out that this means results no longer have to be created entirely by hand; instead, people define the goal and the necessary knowledge, then review the outcome. He sees this same shift from creating to defining, judging and deciding happening in software development, in proposals and presentations. Judgment becomes more important, not less, as does the ability to clearly describe what is actually wanted. AI, he says, should not lower quality standards but help raise them. Good work in the future will mean clearly defining goals, making knowledge available, using the right tools, critically reviewing results, and taking responsibility for them.
Description
How does artificial intelligence actually change our daily work?
In this episode, I talk about a concrete example at Tourismus Interaktiv: We are testing our own skill for our Infopoints, in which knowledge such as dimensions, proportions and other product specifications is stored. This allows Infopoints to be displayed, for example, in places where they don't even exist yet – and from different perspectives.
For me, this example shows a much bigger shift: human work is increasingly moving from doing things yourself to specifying, assessing and deciding.
This applies not only to images, but also to software development, proposals, presentations and many other tasks. At the same time, human judgment is not becoming less important as a result – but more important.
Because in the end, someone has to decide: is the result really good?
This is exactly where I see one of the most important skills for the coming years: clearly defining goals, making knowledge available in reusable skills, using the right tools, critically reviewing results – and taking responsibility for them.
And remember: big changes often begin with small daily steps.