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Nine out of ten Italian students have used AI tools.
Planeta Formazione e Università has presented a study entitled ‘AI and future employability’, conducted by GAD3. The report was presented at the Rome Business School in Rome, where Sara Morais, CEO of GAD3, analysed the results of the report, which focused on higher education students in Italian academic institutions.
This multi-country study has provided key data on the impact of artificial intelligence (AI) in the future, particularly in the context of education and employment. It offers a detailed insight into how Italian students perceive and use AI tools, providing a detailed perspective on the adaptation of educational programmes to future labour market trends.
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63% of respondents use AI tools such as ChatGPT
According to the report’s findings, 63% of students use AI tools at the user level, while 53% claim to understand how to apply different artificial intelligence technologies. In addition, 32% of respondents have the ability to create and develop these tools, reflecting a growing interest in AI innovation and development.
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But what do they use the various artificial intelligence tools for?
The main applications of artificial intelligence are image analysis and machine learning, followed by task optimisation and automation.
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Over 60% of students are keen to learn about AI
64% of students are keen to learn about artificial intelligence (AI), driven by the belief that it represents the future and by their personal interest in technology. On the other hand, among those who are less keen, the main reasons are lack of interest (50%) and mistrust (25%) in this innovation.
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However, currently only 23% of Italian students have received specific training in AI
When young people were asked whether they had received specific training in Artificial Intelligence (AI) during their academic career, the results showed a lack of training in this area. 77% of students said they had not received training in AI, while only 23% said they had accessed some form of related teaching.
Discover the full executive report here
Technical specifications
Universe: higher education students aged between 18 and 35.
Scope: Italy.
Quotas: gender, age (INE), academic level and academic discipline.
Data collection procedure: computer-assisted web interview (CAWI).
Sample size: 801 interviews.
Sampling error: ±3.5% (n=801) for a confidence level of 95.5% (two sigma) and in the worst case of P=Q=0.5 in the case of simple random sampling.
Interview duration: 7-8 minutes.
Fieldwork dates: 12 to 19 April 2025.
