In the Age of AI, the real competitive advantage Is still Leadership
PwC, BCG, McKinsey, and Deloitte published four independent studies between January and March 2026 that converge on the same conclusion: the problem with AI in business isn't technology, it's leadership and governance. Analysis by Silvio Fontaneto.
EXECUTIVE SEARCHLEADERSHIP & MANAGEMENTAI STRATEGYINDUSTRY TRANSFORMATIONPRIVATE EQUITY & VCDIGITAL
In the Age of AI, the real competitive advantage is still Leadership
Four studies published between January and March 2026, PwC's 29th Global CEO Survey (January 19, 4,454 CEOs across 95 countries), BCG's AI Radar 2026 (late January, 2,400 executives including 640 CEOs), McKinsey's Global Tech Agenda 2026 (February 9), and Deloitte's 2026 Global Human Capital Trends (March 4, over 9,000 leaders in 89 countries), start from different methodologies, samples, and fieldwork windows (the PwC and McKinsey surveys were fielded between September and November 2025, then published in the months that followed) but arrive at the same conclusion: the problem with AI in business isn't the technology. It's who leads it, who governs it, and who gets chosen to do so.
For any board about to decide on its next C-level appointment, 2026 offers an unusually convergent body of data. Between January 19 and March 4, four of the world's leading strategy consulting firms each published independent research on how AI is reshaping organizations. None of the four concludes that the answer is more technology. All of them, from different angles, point to the same bottleneck: the quality of the people making the decisions.
56% of Companies Still Haven't Seen a Return
PwC's 29th Global CEO Survey, fielded between September 30 and November 10, 2025 among 4,454 CEOs in 95 countries and published on January 19, 2026, captures confidence at a five-year low: only 30% of CEOs say they're confident about revenue growth over the next twelve months, down from 38% in 2025 and 56% in 2022. The main driver isn't the macroeconomic climate, it's AI itself: just 12% of CEOs say they've achieved both cost savings and revenue growth from AI, 33% report a partial benefit, and 56%, the clear majority, have yet to see any meaningful financial benefit at all.
The figure that matters most, though, concerns the companies that are getting results. Organizations that have built strong foundations, Responsible AI frameworks and technology environments capable of enterprise-wide integration, are three times more likely to report measurable financial returns, and achieve profit margins nearly four percentage points higher than those that haven't done the same work. Forty-two percent of CEOs cite the pace of technological transformation as their top concern, ahead of long-term viability or innovation capability. This isn't a tooling problem. It's a question of who is leading the transformation, and with what discipline.
The CEO Has Become the AI Decision-Maker, and Knows It
BCG's AI Radar 2026, based on 2,400 executives including 640 CEOs, surfaces a finding few boards have fully absorbed yet: nearly three in four CEOs now consider themselves their company's principal decision-maker on AI, double the share in 2025. That responsibility comes at a cost: half of the CEOs surveyed believe their own position is at risk if AI investments fail to deliver, even as companies prepare to more than double AI spending in 2026, from 0.8% to 1.7% of revenue.
Only 15% of CEOs fall into what BCG calls "trailblazers", leaders who have upskilled nearly three-quarters of their workforce and treat AI as a systematic strategic priority. These are the CEOs already reporting measurable gains in productivity, decision speed, and decision quality. The rest, more than 80% of the sample, keep investing (over 90% plan to maintain or increase AI spending even without a guaranteed return in 2026) but without the same rigor. The difference between the two groups isn't budget. It's leadership.
The Gap Isn't Adoption. It's Governance
Deloitte's 2026 Global Human Capital Trends report, published March 4, 2026 in collaboration with Oxford Economics and based on more than 9,000 leaders across 89 countries, pushes the point even further: 60% of executives already use AI in their decision-making, but only 5% believe they manage it well. Deloitte calls this gap "culture debt," the cost organizations accumulate when they scale AI without building the accountability structures, norms, and trust frameworks needed to govern it. A third of organizations say their culture is actively hindering their AI transformation goals.
The message is consistent with what PwC and BCG both show: technology adoption has run well ahead of organizations' ability to govern it responsibly. And that gap shows up first and foremost in the quality of the people sitting in the seats of command.
Winning Companies Hire Differently
McKinsey's Global Tech Agenda 2026, based on a global survey fielded between late September and early November 2025 among 632 technology and business leaders across 69 countries, offers the finding most directly tied to executive search: top-performing companies, those with revenue and EBIT growth above 10% over the past three years, are hiring technology executives at nearly twice the rate of everyone else, 37% versus 19%. At those same companies, technology leaders are "very involved" in shaping enterprise strategy 64% of the time, compared with 52% at other organizations. Yet roughly a third of all companies surveyed say they're running into AI-related talent and capability gaps, a constraint that slows execution regardless of budget.
What This Means for Whoever Builds the Next Executive Committee
Read together, these four studies tell one story, not four separate ones. PwC shows that governance, not adoption, is what separates the companies getting returns from those that aren't. BCG shows that CEOs have accepted responsibility for that governance, and are aware enough of it to see it as a personal risk. Deloitte quantifies the gap between using AI and knowing how to manage it. McKinsey shows that the companies winning this race have already changed how they hire their executives.
For boards, including many at Italian mid-market companies navigating generational transitions or portfolio companies backed by private equity funds with defined exit horizons, the implication is direct. The question is no longer whether to invest in AI: everyone already is. The question is whether the next CEO, CFO, or Chief AI Officer about to be appointed belongs to the 15% of leaders capable of driving this transformation with discipline, or to the rest of the market still investing without proportionate results. None of these four reports suggests the answer lies in a piece of software. All of them, in different language, say the same thing: it lies in the quality of who you choose to lead the organization, and in the rigor behind that choice.
Silvio Fontaneto is a Strategic Advisor and Executive Search specialist in Digital, Tech, and AI. Senior Partner, Beaumont Group. Author of "Stop Fearing AI."
Explore the full Knowledge Hub: www.silviofontaneto.com 📬 Subscribe to the "AI Impact on Business" newsletter for weekly analysis: LinkedIn Newsletter Read more: www.silviofontaneto.com/articles (filter: Executive Search)
#ExecutiveSearch #Leadership #CLevel #AIStrategy #BoardAdvisory #TalentStrategy
Connect
Reach out for tailored AI leadership guidance
© 2026 Silvio Fontaneto. All rights reserved.