How to Compete with AI‑First Firms
AI‑first companies aren’t coming. They’re already here—and they’re quietly reshaping every industry.
For years, traditional businesses have poured billions into transformation programmes led by the world’s biggest consulting firms. Yet fewer than 15% of AI pilots ever reach scale. AI adoption is widespread, but it’s fragmented, ungoverned, and increasingly risky for organisations of every size.
For leaders of medium‑sized businesses, the pressure is intensifying. Markets are shifting. Competitive advantages are eroding. Everyone is calling for a “new leadership mindset”—but without enterprise‑level budgets or deep technical teams, turning ambition into action can feel impossible.
Recent research makes the challenge clear. In a study of 500 IT leaders in organisations with 100–1,000 employees, only 8% said they have full control over how AI is used in their business. Two‑thirds admitted they don’t even know where AI is being applied. This isn’t a technology problem. It’s a leadership one.
And the stakes are rising. Against a backdrop of geopolitical tension, economic uncertainty, and relentless stakeholder pressure, CEOs are now expected to be technically fluent enough to align strategy, resources, and execution in an AI‑driven world. McKinsey describes this as a shift to “transformation‑always‑on”—where leaders continuously reallocate talent and investment to the highest‑value opportunities, often in digital and AI initiatives.
The good news? Competing with AI‑first firms doesn’t require outspending them. It requires focus.
The How
Patterns are emerging from organisations that are making AI work.
A World Economic Forum analysis of hundreds of real‑world AI use cases across more than 30 countries shows that successful companies consistently do three things:
- Embed AI into core decision‑making
- Redesign work for human–AI collaboration
- Build strong data foundations
They also use AI with clear intent—to predict, create, converse, see, and decide—rather than experimenting without direction.
As Satya Nadella, Microsoft CEO, puts it, being AI‑first isn’t about having data in one system: it’s about connecting all your data—from supply chain to customer experience—to drive better decisions at speed.
Organisational Transformation
Anyone who has tried to make AI work across an organisation knows the hardest part isn’t the technology—it’s the organisation itself.
Breaking down silos and sharing data across functions like marketing, sales, and supply chain can feel painfully slow, especially when those silos are reinforced by competing incentives and legacy structures. Without visible leadership from the CEO and senior team, even well‑funded initiatives stall. AI‑first organisations don’t treat this as an IT problem; they treat it as a core operating challenge.
Becoming AI‑first means moving beyond fragmented, function‑led models to a truly integrated digital core—where data flows across the business and decisions are made with shared context rather than local optimisation.
This shift also fundamentally changes the nature of work. As AI systems take on more executional tasks, human roles evolve towards supervision, judgment, and strategic decision‑making. That requires redefining roles, redesigning workflows, and upskilling people to collaborate effectively with intelligent systems—not as a future aspiration, but as an immediate leadership priority.
The scale of this change is significant. It’s estimated that more than one billion jobs will be transformed as AI reshapes how value is created. The World Economic Forum frames this not as an HR initiative, but as a system‑level transformation that touches every part of the enterprise.
Organisations that navigate this well focus on four interconnected levers: strategy, architecture, culture, and governance. Importantly, governance is no longer viewed as a brake on innovation, but as a growth enabler—providing the clarity and confidence needed to scale AI responsibly. This reframing represents a meaningful shift in executive thinking.
In practice, this places new demands on leadership. Strategy leaders can no longer delegate AI‑enabled change entirely to PMOs or specialist teams. Instead, they must actively shape execution—developing stronger programme management capabilities and staying close to how strategy is translated into day‑to‑day operations. These skills are now critical to successful AI‑enabled growth.
To find out how Meridian Veritas can help you achieve your change goals contact us at info@meridianveritas.com.