AI adoption is not just transforming work; it’s creating a growing divide between those who can leverage it effectively and those who cannot. Image: smartkeys.org.
Dan Schawbel says the explosion of artificial intelligence around the world is revealing consequences for workplaces that do not fully embrace it.
The conversation around artificial intelligence often centres on productivity gains, efficiency, and innovation.
However, beneath the surface, a more consequential shift is taking place — one that is redefining how organisations operate, how leaders are evaluated, and how employees build their careers.
New global research in which Workplace Intelligence played a part reveals AI adoption is not just transforming work, it’s creating a growing divide between those who can leverage it effectively and those who cannot.
AI is rapidly becoming a baseline expectation. The study found that 60 per cent of organisations surveyed plan to lay off employees who won’t adopt AI, while 77 per cent of executives say those who resist it won’t be considered for promotion.
Technical fluency is no longer confined to IT roles — it is becoming a core competency across functions, from marketing to finance to operations.
This shift is giving rise to a new class of high-performing employees. According to the research, 92 per cent of executives say they are actively cultivating ‘’AI super-users’’.
These employees are not necessarily more experienced or more senior. Instead, they are distinguished by their ability to integrate AI into their daily workflows, automate repetitive tasks, and generate insights at scale.
Organisations are beginning to rethink how they evaluate performance, allocate resources, and design teams.
This is effectively creating a two-tier workforce. On one side are employees who can harness AI to enhance their output and decision-making. On the other are those who rely on traditional methods and risk falling behind.
This divide is not theoretical; it is already influencing hiring, promotion, and compensation decisions. As AI capabilities continue to advance, the gap between these two groups is likely to widen.
Despite the urgency, many organisations are struggling to turn AI ambition into tangible results. While 97 per cent of executives say AI has been beneficial in some capacity, far fewer report meaningful returns from their investments.
This disconnect highlights a critical challenge: adopting AI tools is not the same as implementing an effective AI strategy.
One of the biggest barriers is the absence of clear direction. In many cases, organisations are investing in AI without a proper understanding of how it will create value.
This leads to fragmented initiatives, duplicated efforts, and missed opportunities.
More than half of executives say AI is creating tension within their organisations, with 56 per cent reporting power struggles and disruption tied to AI initiatives.
Employees are not always aligned with leadership’s vision. While many workers recognise the potential benefits of AI, others are pushing back — sometimes in ways that introduce new risks.
The study found that 29 per cent of employees admit to sabotaging their organisation’s AI strategy, whether by using unauthorised tools, inputting sensitive data into public systems, or refusing to engage with approved platforms.
This behaviour has real consequences, with more than two-thirds of executives reporting data leaks or security breaches linked to the use of unapproved AI tools.
According to the research, 38 per cent of CEOs report experiencing a high or crippling level of stress related to AI strategy, and 64 per cent fear they could lose their jobs if they fail to lead their organisation through the transition.
Yet, even as leaders grapple with these pressures, the path forward is becoming clearer.
Organisations that are making progress with AI share a common approach: they treat it as a business transformation rather than a standalone technology initiative.
This begins with aligning AI efforts to measurable outcomes, such as cost savings or client satisfaction. Without this alignment, it becomes difficult to prioritise investments or evaluate success.
Another key factor is enabling employees to experiment with AI in a structured way. Rather than restricting access or allowing unchecked usage, leading organisations are creating environments where workers can explore AI tools within defined guardrails.
This approach encourages innovation while reducing the risks associated with shadow IT and data exposure. It also helps build confidence and competence across the workforce.
Governance is equally critical. As AI systems become more integrated into core business processes, organisations need clear frameworks for managing risk, ensuring compliance, and maintaining accountability.
This includes establishing guidelines for data usage, monitoring system performance, and defining protocols for responding to unexpected outcomes.
Without these safeguards, the potential benefits of AI can quickly be overshadowed by operational and reputational risks.
The research points to a simple but urgent conclusion: the success of AI in the workplace will depend less on the technology itself and more on how organisations implement it.
Investment in strategy, governance, and workforce development will better position organisations to close the gap between potential and performance.
Those that fail to do this risk falling behind — not just in productivity, but in their ability to compete in an increasingly AI-driven economy.
The divide between AI leaders and laggards will only become more pronounced.
Employees who embrace AI will have new opportunities to grow and differentiate themselves, while those who resist may find their roles diminishing in relevance.
For organisations, the challenge is to ensure that this transformation is inclusive, intentional, and aligned with long-term goals.
Dan Schawbel is a bestselling author and managing partner of Workplace Intelligence, a research and advisory firm helping HR adapt to trends, drive performance and prepare for the future. This article is part of his Workplace Intelligence Weekly series.
