featuring insights from hind hafdi, AI & data practice director at randstad digital.
Facing unprecedented technological acceleration, industrial companies are profoundly rethinking their priorities. According to an exclusive survey of 215 decision-makers conducted by Randstad Digital, three pillars now concentrate the bulk of investments: artificial intelligence (58%), cybersecurity (54%), and data & analytics (45%). Together, they form the backbone of digital transformation through 2030.
However, beyond these figures, a key point emerges: these technologies only deliver value when they are orchestrated, secured, and accompanied by targeted upskilling. In this article, Hind Hafdi, AI & Data Practice Director at Randstad Digital, shares essential steps for embarking on this trajectory.
To explore the complete analysis by Randstad Digital experts and industry decision-makers on the 2030 outlook, discover the white paper "what technological horizons for industry in 2030?" produced by Randstad Digital. It reveals sectoral analyses, unprecedented data, and detailed expert recommendations for building a sustainable transformation.
the technologies of the 2030 transformation.
artificial intelligence emerges as an essential cross-functional lever.
Unsurprisingly, AI stands out as the most strategic technology for the next five years. For manufacturers, it represents both a way to improve operations, boost performance, and accelerate decision-making.
But as Hind Hafdi reminds us, the value of AI is not limited to the technology itself. The question is no longer whether or not to invest in AI, but how to do so:
“The true value of AI lies in its ability to amplify human intelligence. Companies that replace their talent with AI will make a strategic mistake. The highest-performing organizations will be those that view AI as a strategic partner: a lever for optimization, agility, and sustainability.”
Her advice: It’s no longer about experimenting but about orchestrating data, AI agents, and talent to fully benefit from them.
cybersecurity: the indispensable condition of trust.
Cybersecurity advances to second place among investment priorities. With connected production systems and digitized supply chains, the threat no longer concerns only IT infrastructure but the entire industrial apparatus.
“The rise of AI reinforces the need,” the expert recalls. “The smarter the systems are, the more they must be secured, audited, and supervised.”
Her advice: General management and IT departments must make this a strategic issue. Protecting digital assets is now a condition for business continuity and preserving competitiveness.
data & analytics: the raw material of industrial performance.
Data is asserting itself as a central asset. For 45% of the executives surveyed, the ability to collect, structure, and exploit data becomes a prerequisite for any digital transformation.
This trend is particularly observed in energy optimization, predictive maintenance, augmented supply chain, and the personalization of products and services.
Here again, Hind Hafdi emphasizes:
“AI can only be effective if the data foundation is solid.”
Her advice: Companies must industrialize their data flows, strengthen governance, and build the necessary skills for their exploitation.
the human factor: the lever for success.
By 2030, AI, cybersecurity, and data will no longer be isolated projects but structural, interdependent, and strategic components. This trio embodies the convergence of intelligent automation, the securing of digital environments, and the valorization of data.
Beyond this leading trio, other technologies are gaining momentum, showing that companies are building a solid technological foundation while exploring disruptive innovations.
However, the transformation will not only be technological.
“Success will come through change management,” highlights Hind Hafdi.
Her advice: The adoption of AI involves rethinking processes, skills, and managerial culture. Supporting teams in this evolution, establishing a clear framework for use, and developing trust in the tools will be essential to unlock the full potential of these technologies.
The future will belong to those who can combine algorithmic power, human discernment, and excellence in organizational transformation.
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