L'intelligenza artificiale rende il lavoro più veloce, ma non necessariamente le aziende più produttive

Artificial intelligence is transforming the pace of work across industries, yet many companies are struggling to translate these efficiencies into measurable economic gains. A growing number of executives admit that despite substantial investments in AI tools, the anticipated boost in productivity has not materialised. According to a January 2026 survey conducted by PwC, nearly six out of ten chief executives reported no tangible financial benefits from their AI initiatives. The phenomenon mirrors historical patterns observed with earlier technological advancements. In the late 1980s, economist Robert Solow noted that while computers had become ubiquitous in workplaces, their impact on overall productivity metrics remained elusive. It wasn’t until businesses adapted their operational structures to leverage computing power that real gains emerged. Today, AI faces a similar challenge, its potential is being constrained not just by the time needed for return on investment, but by the pace at which organisations are evolving alongside the technology. A key issue lies in the disparity between individual task efficiency and organisational effectiveness. While AI can accelerate specific processes, such as drafting reports or analysing data, it does not automatically enhance the broader performance of an enterprise. This is because organisational value stems from interconnected systems of work, not isolated improvements. For instance, even if an AI tool reduces the time required to complete a document from three hours to thirty minutes, the organisation’s overall productivity depends on how well all parts of its operations align and function cohesively. This mismatch manifests at multiple levels. At the strategic level, organisations must reassess their goals for implementing AI. Many focus primarily on cost reduction, assuming that faster execution will directly equate to savings. However, efficiency alone does not guarantee competitive advantage. As AI becomes more accessible, the ability to perform routine tasks affordably may lose its edge. Instead, the true value lies in enabling enterprises to undertake activities that were previously impractical due to cost, time constraints, or the scarcity of expert knowledge. In economies such as the United Arab Emirates, where rapid growth and diversification are central priorities, AI offers opportunities beyond mere automation. By augmenting human expertise rather than replacing it, organisations can expand their capacity to evaluate new ventures, serve more clients, or deliver services that were once deemed economically unviable. Since 2021, job postings related to AI skills in the UAE have surged by over 200%, and wage premiums for these roles have climbed to 92%. At the operational level, the integration of AI requires careful restructuring of workflows. While initial implementations often involve identifying which tasks can be automated and where bottlenecks exist, this approach can lead to unintended complications. When different components of a process are accelerated independently, the entire system may become more vulnerable. Human oversight is critical in areas where judgment and accountability are necessary, especially when outcomes cannot be easily validated through rules or algorithms. Organisations must therefore move beyond the notion of keeping a human in the loop and instead strategically place individuals within decision-making frameworks where their input is indispensable. This involves designing workflows that incorporate systematic verification mechanisms, ensuring that AI-generated results are supported by evidence, testing, and traceability. In scenarios where human judgment remains irreplaceable, the role of employees shifts from executing tasks to ensuring quality, ethical considerations, and long-term strategic alignment. As AI continues to evolve at an unprecedented rate, the challenge for organisations is not only to adopt the technology but to adapt their structures, cultures, and strategies accordingly. The path forward demands a balance between leveraging AI’s capabilities and maintaining the human elements that drive innovation, accountability, and sustainable growth.