Artificial intelligence has become nearly ubiquitous in corporate boardrooms, but according to Joe Ngai, McKinsey’s chairman for Greater China, adoption is far from synonymous with profitability. Speaking at Consensus Hong Kong on Thursday, Ngai revealed that while 98% of companies are testing AI in some form, fewer than one in five deploy it at scale, and only about 5% report any measurable impact on their bottom line.
Ngai’s message was clear: technology alone is not enough. “The bottleneck of AI implementation is actually people,” he said, pointing to entrenched hierarchies, layered management, and rigid reporting lines as the primary obstacles preventing companies from reaping AI’s potential. In many cases, firms are layering AI pilots on top of legacy processes rather than reimagining how work gets done, limiting both efficiency gains and profit.
Organizational Friction, Not Technology, Slows Transformation
The McKinsey chairman emphasized that companies can possess cutting-edge models and advanced algorithms, yet still fail to unlock tangible value if their organizational design is misaligned. Corporate structures built on decades-old hierarchies create friction in an AI-native world. Approval chains, siloed teams, and risk-averse cultures mean many AI initiatives are isolated experiments rather than enterprise-wide transformations.
Ngai contrasted this with Chinese firms, which he says have a decade-long head start in operational digitization. Chinese companies’ focus on mobile-first workflows, data-driven decision-making, and flexible labor structures has led to broader adoption of agentic AI and embodied technologies, such as robotics, automation, and autonomous systems. He predicts a “robot dividend” as industrial-scale deployment of AI-powered machinery begins to offset demographic constraints and enhance productivity.
“Much of the Western conversation emphasizes frontier models and artificial general intelligence,” Ngai noted. “In China, the discussion is more pragmatic. It’s less about the sophistication of the AI and more about how it’s actually used.”
Embodied AI and the Coming “Robot Dividend”
Ngai highlighted that while software and analytics dominate headlines, embodied AIÂ (robots, autonomous vehicles, and industrial automation is emerging as a key driver of corporate performance. Large-scale deployment in manufacturing, logistics, and supply chain operations could yield measurable efficiency gains and create new competitive advantages for firms able to integrate AI deeply into daily operations.
Despite these opportunities, most global firms have yet to embrace AI in a way that meaningfully reconfigures their workflows. For investors, this distinction is critical: the companies generating headline-grabbing AI buzz may not necessarily see an impact on profitability, while others quietly rethinking processes may be positioning themselves for outsized gains in the coming years.
Why This Matters for Investors
From an investment perspective, Ngai’s insights underscore the importance of evaluating AI adoption not just on technological sophistication, but on organizational execution. Firms that treat AI as a series of isolated experiments may lag behind competitors that strategically integrate AI into their core operations, streamline decision-making, and reduce operational friction.
For investors in public equities or digital assets with exposure to AI-driven companies, this distinction can guide portfolio strategy. Understanding which firms have the culture, governance, and flexibility to scale AI effectively offers a potential lens for identifying long-term winners versus headline-chasing adopters whose deployments may not move the needle financially.
How Kenson Investments Helps
At Kenson Investments, we monitor both technological innovation and organizational execution to identify companies likely to convert AI potential into real-world profits. Our research focuses on corporate adaptability, operational design, and strategic deployment of technology, key factors that separate firms capable of leveraging AI from those merely experimenting.
Through our educational resources and detailed market insights, we provide investors with guidance on emerging AI trends and the companies poised to capitalize on them. Whether exploring public equities, private markets, or digital assets, our approach emphasizes the intersection of technology, strategy, and organizational effectiveness to support informed investment decisions.
By understanding where AI delivers measurable value, investors can make smarter choices, avoid hype-driven pitfalls, and position their portfolios for sustainable growth amid a rapidly evolving technological landscape.
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