11,000 Capgemini staff in Spain face redundancy plan as low-cost consulting era ends
Capgemini has announced a redundancy plan (ERE) affecting 11,000 employees in Spain. A deeper look: the end of the low-cost consulting model and the impact of AI.
English · Original discussion in Spanish · Published
11,000 Capgemini employees in the crosshairs: the redundancy plan that marks the end of low-cost consulting
Capgemini has put on the table a redundancy plan (ERE, a Spanish collective layoff procedure) affecting its entire workforce in Spain, around 11,000 workers. The news, published on 10 April, is no isolated case: in France, another 11,000 job cuts have already been announced. What looks like a one-off adjustment is, for many analysts, the first symptom of a business model running out of road.
The strategy of the announced earthquake
Announcing a mass layoff is a classic tactic: you put the highest possible number on the table so that, after negotiation, the final cut looks like a victory. In this case, Capgemini's 11,000 employees in Spain are the pretext for a downsizing that will probably end up at a few thousand, but the signal is clear: the consultancy admits its traditional model is no longer sustainable. Artificial intelligence and automation are eliminating the need for juniors who typed away at code without judgement.
The low-cost consulting sector under scrutiny
The debate has focused on the nature of the big tech consultancies' business. It is a model based on exploiting fresh graduates, sold the promise of a golden future while being expected to work weekends for modest salaries. The self-made hero who rose from the bottom is the myth that justifies any abuse. But with AI generating basic code, that army of keyboard grinders is no longer profitable. Capgemini's redundancy plan is no accident; it is an admission that the low-cost consulting bubble has begun to deflate.
The open question is whether this is the first domino in a chain that will eventually topple the big consultancies' model, or whether, as some argue, it is simply a cyclical adjustment. The only certainty is that 11,000 families are waiting for an answer.
Related discussions in the forum
Capgemini has put on the table a redundancy plan (ERE, a Spanish collective layoff procedure) affecting its entire workforce in Spain, around 11,000 workers. The news, published on 10 April, is no isolated case: in France, another 11,000 job cuts have already been announced. What looks like a one-off adjustment is, for many analysts, the first symptom of a business model running out of road.
The strategy of the announced earthquake
Announcing a mass layoff is a classic tactic: you put the highest possible number on the table so that, after negotiation, the final cut looks like a victory. In this case, Capgemini's 11,000 employees in Spain are the pretext for a downsizing that will probably end up at a few thousand, but the signal is clear: the consultancy admits its traditional model is no longer sustainable. Artificial intelligence and automation are eliminating the need for juniors who typed away at code without judgement.
The low-cost consulting sector under scrutiny
The debate has focused on the nature of the big tech consultancies' business. It is a model based on exploiting fresh graduates, sold the promise of a golden future while being expected to work weekends for modest salaries. The self-made hero who rose from the bottom is the myth that justifies any abuse. But with AI generating basic code, that army of keyboard grinders is no longer profitable. Capgemini's redundancy plan is no accident; it is an admission that the low-cost consulting bubble has begun to deflate.
The open question is whether this is the first domino in a chain that will eventually topple the big consultancies' model, or whether, as some argue, it is simply a cyclical adjustment. The only certainty is that 11,000 families are waiting for an answer.
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Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (17 replies).
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