From Hype to Real Value: AI Enters a More Mature Phase
Companies move beyond experiments to deliver measurable productivity gains, even as leaders warn that success will depend on disciplined implementation and a skilled workforce.
BRUSSELS — After years of breathless promises, artificial intelligence is entering a more pragmatic era, with companies and governments focused on measurable economic value rather than hype.
Across industries, from manufacturing to finance and healthcare, organisations are scaling AI from pilot projects to core operations, reporting clear gains in productivity, cost efficiency and service quality. But leaders say the next phase will be harder, requiring governance, workforce training and careful integration with legacy systems.
“The easy wins are behind us,” said a senior executive at a European industrial group. “Now the question is how to make AI work at scale — responsibly, and with real value for workers, customers and the wider economy.”
The technology lead follows a fictional manufacturer that has moved an AI assistant from a demonstration room onto the service desk. It retrieves maintenance instructions and drafts responses, but every answer includes the documents used. The project has an owner, a budget and an agreed procedure for handling uncertain output.
That shift makes integration the main story. Permissions, outdated manuals and inconsistent records can matter more than the model’s performance in a general benchmark. A mature deployment invests in those foundations and evaluates the service over time, including the cases that require a person to intervene.
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