Artificial intelligence: less hype, more business impact

Roland Berger explores how businesses can move beyond hype and leverage artificial intelligence strategically for innovation, efficiency, and competitive advantage.

Artificial intelligence is radically reshaping industries, offering both unprecedented opportunities for innovation and efficiency as well as significant challenges. As businesses face a landscape overflowing with bold claims and fast-evolving technologies such as generative artificial intelligence, Roland Berger advocates for a practical, impact-driven approach. The key, they say, is for organizations to target clearly defined business outcomes, prioritize a strategic artificial intelligence focus, and conduct honest assessments of their readiness and core use cases. This empowers companies to confront immediate obstacles while positioning themselves to exploit future opportunities and thrive amid disruption.

Roland Berger leverages its proprietary act.AI suite of methodologies and insights into industry-specific dynamics to help companies evolve with artificial intelligence successfully. Strategic use of artificial intelligence, according to the firm, can transform entire business models by enabling rapid innovation, driving operational efficiency, and fostering smarter collaboration. The aim is not just technological adoption but broad organizational transformation. This encompasses recalibrating processes, embracing change management, and addressing risks that range from regulatory compliance and IT security to talent shortages and ethical considerations.

Case studies and research highlighted by Roland Berger reveal how artificial intelligence can streamline automation, drive predictive analytics, bolster cybersecurity, optimize supply chains, accelerate research and development, and enhance sustainability efforts. Emerging topics, such as the convergence of quantum computing with artificial intelligence and the growing influence of generative models in procurement and pricing, point toward a future where careful integration—not hype—produces enduring value. Additional Roland Berger publications discuss the organizational, societal, and technological shifts underway, urging leaders to embrace a measured yet forward-thinking approach that incorporates change management and technological readiness for sustainable advantage.

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Artificial Intelligence model learns to say it does not know

South Korean researchers developed a training method that helps Artificial Intelligence models recognize when they lack knowledge instead of responding with misplaced confidence. The approach aims to reduce hallucinations and improve reliability in areas such as autonomous driving and medicine.

Artificial Intelligence reshapes the UK jobs market

Artificial Intelligence is changing how UK businesses hire, train and structure work, with growing adoption among SMEs and rising concern over entry-level roles. The shift is increasing demand for digital skills while deepening worries about youth unemployment and long-term skills shortages.

State media shapes large language model outputs

Research in Nature finds that government control of media can influence large language model behavior through training data. The effect appears especially visible across languages, with models producing more favorable answers about China when prompted in Chinese.

Deepfake porn’s hidden victims

Nonconsensual sexual deepfakes are harming not only the people whose faces are inserted into explicit content, but also adult performers whose bodies and likenesses are repurposed without consent. As generative Artificial Intelligence tools spread, performers face growing psychological, legal, and financial risks with limited protection.

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