The survey

A guide to help businesses use AI responsibly

Research by Polimi highlights that only a minority of companies incorporate their purpose into their decision-making, whilst AI is often adopted without clear objectives and with little organisational preparation

Intelligenza Artificiale e lavoro: la sfida dei manager

5' min read

Translated by AI
Versione italiana

5' min read

Translated by AI
Versione italiana

It is a principle in business vocabulary, but it has not always become a concrete criterion for decision-making. This is, perhaps, the main finding to emerge from the research carried out by the Purpose in Action Observatory at the Polimi Graduate School of Management, now in its third edition and presented in early October at a very well-attended event at the Teatro Lirico Giorgio Gaber in Milan.

There are two key figures to consider: 65 per cent of Italian managers who took part in the survey say they are able to articulate their company’s purpose of their company, yet only 27 per cent say they can fully distinguish it from mission, vision and values. This difference is not merely terminological, as Josip Kotlar, full professor of Strategy, Innovation and Family Business at the Politecnico di Milano and scientific co-director of the Observatory, points out: ‘Purpose means why an organisation exists; mission is what it does; and vision is where it wants to go. These are distinct concepts that together form a narrative which explains and shapes corporate strategy.”

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The survey, based on responses from over 600 Italian managers, highlights that the problem mainly concerns the transition from words to action – in short, execution. In fact, 38 per cent of the companies surveyed fall into the category of purpose-driven organisations – that is, those that use their purpose to guide decision-making – whilst 35 per cent make only superficial or formal use of it. The first figure has risen over time, but we are still a long way from seeing purpose fully integrated into business processes, given that the third category currently lags behind. The most important insight, Kotlar went on to explain, lies in how this principle is applied: whilst in the most advanced companies purpose guides choices, investments and evaluation criteria, in other cases it remains primarily a statement of intent, with no particularly evident impact on decision-making. The assumption is that whilst many companies know how to articulate their raison d’être, only a minority know how to use it to guide their actions.

Strategy moves faster than organisation

The research identifies five areas in which purpose can take shape and influence the way in which certain initiatives are assessed (thereby going beyond the company’s positioning): competitive strategy, investment, skills, brand and the corporate operating system. The Observatory’s data reveal some concrete implications in this regard, reflected, for example, in the 39 per cent of managers who believe that purpose can strengthen sustainable innovation and digitalisation, or in the 35 per cent who associate it with environmental projects. For 29 per cent, on the other hand, it can be linked to social and community projects, whilst for 24 per cent it can guide investments with lower financial returns but which are capable of generating a greater impact. For purpose to influence decision-making, however, adequate governance is required. ‘Its contribution to the business,’ Kotlar emphasises in this regard, ‘becomes truly effective and pervasive only if accompanied by sound governance.’

Simply defining and stating objectives, therefore, is not enough; structured accountability and evaluation criteria must come into play to link strategic priorities to the day-to-day running of the organisation. Without these ‘requirements’, there is a risk that the purpose will remain at the discretion of individual managers, rather than becoming a shared point of reference. ‘The major issue that is emerging,’ added the Observatory’s co-scientific director, ‘is the organisational impact: essentially, the organisation is not implementing these strategies in the most appropriate way.’ The transformation of priorities set out by senior management is therefore not always accompanied by a change in the skills and tools needed to interpret them and help bring them to fruition.

AI without defined objectives

The disruptive entry of artificial intelligence into business processes is, to some extent, putting this ability to translate intentions into decisions to the test. According to the research, in fact, 30 per cent of managers use AI to support decision-making, 27 per cent for people analytics and skills planning, and 25 per cent for performance appraisal and staff development. Whilst there is no doubt that the adoption of AI also affects the processes through which businesses manage their work and human resources, an operational logic still prevails. Sixty per cent of managers cite efficiency and cost reduction as the main drivers for adopting models and agents, whilst only 13 per cent state that the objectives assigned to the systems are fully clear and aligned with the organisation’s purpose.

Ensuring that efficiency does not become the sole criterion for adopting artificial intelligence is a new challenge for management. Adopting a technology without having clarified what results one wishes to achieve and how to measure them – in other words – risks disconnecting technological investments from strategic priorities. And this is a risk that companies today cannot afford to take. Purpose, on the other hand, can serve as a compass for defining objectives, but it must be translated into verifiable criteria. More than seven in ten managers – this is the encouraging picture painted by the Politecnico survey – already consider it important or central to guiding responsible AI over the next five years. Nevertheless, only 9 per cent of respondents believe that their organisation is fully prepared to lead teams in which people and AI systems work together. The gap between the importance attached to the issue and the actual preparedness of businesses stands out as one of the most significant messages emerging from the survey. ‘Skills evolve faster than roles,’ Kotlar emphasises in this regard, pointing out that people can acquire new skills whilst tasks and responsibilities remain tied to previous models. It is no coincidence that only a minority of companies (13 per cent and 15 per cent respectively) have already reviewed their training needs and restructured responsibilities, reinforcing the idea that companies must pay greater attention to understanding how (with the introduction of AI into the organisation) activities, responsibilities and career prospects will change. It is also in this area that ‘purpose’ can provide a framework for decision-making.

Govern, don’t chase

“Using AI is one thing,” Kotlar pointed out, “but knowing how to manage it means having a plan – whether long-term or medium-term – capable of aligning business objectives with the use of the technology and truly measuring the desired impacts.” Once again, corporate purpose can make a tangible contribution to this alignment by linking technological choices to the company’s priorities, provided that it is translated into objectives to be pursued and equally precise criteria by which to assess the results. In this crucial phase, one corporate function plays a central role. Given that skills are changing more rapidly than roles, and few companies have yet updated their training programmes and responsibilities, people management cannot simply be limited to supporting decisions made elsewhere; rather, it must play an active part in the organisation’s transformation. ‘The People function,’ concludes the professor from the Polytechnic, ‘is called upon to transform and to lead the organisation’s transformation, but it must itself change and transform. Faced with risks and threats such as a loss of meaning, the difficulty of keeping people committed to the company, and the distance between individuals and organisations, managers today must focus on purpose and concentrate on it as an enabler of a governed and controlled transformation, rather than chasing after technology.” The challenge for businesses is therefore clear: to bring strategy, AI and work together, adapting the purpose to serve as an effective guiding principle.

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