Artificial Intelligence (AI) does not destroy jobs. It reorganises tasks — and shifts the focus of human work towards judgement, discretion and relationships.

This is the central idea of a recent article by Innobasque entitled “Artificial intelligence transforms work rather than employment” (https://labur.eus/9iy79bdj), which analyses why the most alarmist predictions of job losses are becoming more moderate, and explains that the real impact of AI lies in how it redistributes tasks within each profession: it automates the most routine and codifiable tasks, and shifts people towards work that requires judgement.

In the field of strategic intelligence, this automatable aspect has its own name:

• Filtering out the noise: determining which news items are relevant and discarding the rest
• Summarising news items, extracting topics and identifying entities
• Identifying signals and facilitating the analysis of newsletters.
• …

These are mechanical, repetitive tasks that follow a clear pattern. AI carries them out well, quickly and without tiring. However, automating the mechanical aspects does not eliminate human judgement — it focuses it on what really matters:

• Decide which signals have real implications for the organisation’s strategy — not every relevant piece of news is a signal that requires action
• Link an isolated piece of news to the organisation’s context: its competitors, its market, its ongoing projects
• Weigh up conflicting signals and decide which direction the evidence points most strongly towards
• Translate a technical finding into a message that a manager can understand and use to make a decision
• Use these signals to determine which projects, actions or proof-of-concepts are worth exploring next year

This leads us to reflect: in the age of automation, the difference is no longer determined by who has the most information or who processes it the fastest. What makes the difference is keeping the person at the centre of the process — the ‘human in the loop’. This is precisely the area we focus on at InTool: ensuring the tool handles the mechanical aspects — summaries, topics, entities, mind maps, initial news filtering… — so that the team can devote their time to interpreting, verifying and making decisions.

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