Corporate Management

Investment, agents and skills: in 2026 the CEO becomes the true director of AI in the company

BCG X's 'AI Radar 2026' report highlights how CEOs are taking a leading role in AI transformation, doubling investment and driving business skills development

by Gianni Rusconi

AdobeStock

5' min read

Translated by AI
Versione italiana

5' min read

Translated by AI
Versione italiana

Many insiders are convinced that artificial intelligence has already moved from the status of an experimental technology to that of a strategic lever for business competitiveness. For those who still had doubts about this, 2026 should mark a further turning point: AI is no longer just a matter of investment or innovation, but of leadership and governance. And it is no longer - or not only - the CIOs, chief digital officers or IT functions that are driving the transformation, but the CEOs themselves. This is clearly stated in the report "AI Radar 2026" produced by BCG X, based on the responses of 2,360 top managers in 16 countries (including Italy) and nine industrial sectors.

The numbers of the study are eloquent. Companies expect to double their spending on artificial intelligence over the next twelve months, bringing it to an average of 1.7% of revenues, a percentage more than double the increase recorded in 2025. The leap forward is very indicative because it must be contextualised in a scenario of prolonged macroeconomic uncertainty, which does not seem destined to slow down even in the absence of immediate returns: 94% of companies say they will continue to invest in AI even if the benefits will not be visible in the short term.

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From 'observer' to decision-maker

If we look at the trend by industry, moreover, the research confirms that all industries will increase their spending on artificial intelligence, with financial and technological institutions leading the ranking of the most virtuous sectors (thanks to investments that will be around 2% of revenues), while industry and real estate are travelling at more moderate levels (around 0.8%). There is, if anything, a different level of expectation at a geographical level. In Asian countries - India and China in the lead - about three Chief Executive Officers out of four say they are convinced that artificial intelligence will pay off in terms of ROI, while in the West a more cautious attitude prevails: in the United States the share drops to 52%, in the United Kingdom to 44% and the average in Europe (where the perception of investing in order not to fall behind prevails) reaches 61%. In Italy, according to the sample of managers surveyed, concerns related to data privacy and cybersecurity, control of decisions made by algorithms, and rising costs remain central. Issues that, together with the environmental impact of AI, continue to represent a brake especially for small and medium-sized enterprises. "Despite the uncertain overall picture," emphasised Christoph Schweizer, CEO of the Boston Consulting Group, "this growth in spending reflects how much AI has become a top priority for the business world. Artificial intelligence is no longer confined to IT or innovation teams but is reshaping strategy and operations from the top down, with CEOs taking the lead."

The most significant figure concerns the change in governance. In fact, 72 per cent of CEOs say they are leading transformation projects based on this technology, a percentage again double that of the previous year. Many CEOs, according to the BCG X report, are personally investing in their own skills, dedicating time to upskilling and pushing to accelerate the capabilities of the entire organisation. It's not just about sponsorship or strategic direction, but a change in approach that, according to Schweizer, 'marks a big difference from the past, because it involves accelerating skills development across the organisation, monitoring return on investment more closely, and measuring process efficiency more accurately'.

This responsibility, however, also has a downside. In fact, half of the CEOs believe that their role is at stake if AI fails to produce concrete results, confirming a pressure on top management to make quick choices and (at the same time) to delegate. "The CEO becomes the de facto head of AI, the main decision-maker on initiatives involving this technology, and the one who succeeds will be the one who knows how to strike the right balance between the responsibility of driving its adoption and the role of management in driving it forward".

Between pioneers, pragmatists and followers: how leadership changes

BCG's report identifies three CEO archetypes that reflect the relationship of top managers in the enterprise with AI. Only 15% of them can in fact be described as 'trailblazers', and we are talking about those who strongly believe in the return on spending on artificial intelligence, invest heavily and focus on rapid skills development. On the other hand, 70% are the 'pragmatists', i.e. those who open the purse strings when the value is clear and the risk contained. The remaining 15% are the 'followers', the more cautious and less convinced of the potential of technology. The differences between the three categories emerge clearly on the upskilling front. Pioneering CEOs allocate about 60% of the AI budget to workforce upskilling, compared to 27% of the pragmatists and 24% of the followers. And they are also the ones who are focusing most strongly on AI agents (to which more than half of the investments planned for 2026 are allocated) and their end-to-end deployment in business processes, convinced (in 90% of cases) that these tools will produce measurable returns as early as in the next twelve months. 'Agents,' Schweizer explained in this regard, 'will be pervasive and this will entail a profound rethinking of organisation, governance and operational flows. We are in fact increasingly talking about native AI products and services, and the economic impact of a pervasive use of technology in processes is tangible and measurable'.

In short, the message that emerges from the BCG X study is quite explicit, and confirms the findings of other studies on the subject. The challenge that companies must face and overcome is more managerial than technological, and the advice coming from BCG's CEO is equally clear: 'We need to make AI the key priority, create a true AI culture throughout the organisation, invest at scale and measure returns. The workforce of the future will be hybrid, composed of people and agents, and in this scenario the old efficiency metrics can no longer suffice and leaders will have to know how to govern this new balance'.

In 2026, the relationship between top management and artificial intelligence will therefore enter a new phase of maturity; AI will become a structural factor in corporate governance, and CEOs and C-suites will be called upon to transform themselves into direct AI decision-makers, taking responsibility not only for technology choices but also for organisational, cultural and economic impacts. Corporate leadership, this is the final assumption, will increasingly be measured on the ability to drive technology adoption and translate it into concrete and measurable value.

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