Businesses Must Reinvent Themselves for the AI Era | Opinion

The era of artificial intelligence (AI) is a critical test for businesses. Companies that restructure themselves around AI are set to define the next economy, while those treating AI as a mere software update will become obsolete. This isn't mere speculation; every industry is reaching a juncture where conventional business models, outdated processes, and traditional career structures will be outpaced by AI-driven organizations.

The decision is clear: reinvent your business now, or risk being replaced by others. Warning signs are already evident; a Gartner survey revealed that about two-thirds of CEOs believe their current business model is not suitable for the AI age. This should worry every employee, investor, customer, and policymaker. If the leaders of the world's largest organizations doubt their own preparedness, the impending disruption will extend far beyond the boardroom. It will reshape jobs, industries, and economies.

Executives are focusing on the wrong questions. They seek to know which AI platform to purchase or how to train employees to utilize new tools. These are tactical concerns. The critical question is far more challenging: if we constructed a company today with AI in mind, would it resemble the business we currently have? If the answer is no, delaying change only allows competitors more time to construct the future first.

Thus, the first assumption leaders must discard is that business models can remain unchanged. An example of genuine transformation is the company John Deere. The firm no longer generates value exclusively by selling machinery. Its AI-powered technology integrates computer vision, software, and data to assist farmers in reducing herbicide use while enhancing productivity.

Although machinery remains relevant, intelligence has become an integral part of the product. This shift alters how value is generated, how customers purchase, and where profits stem from.

Leaders should promptly address three questions: How will AI transform your products and services? How will it alter the way customers expect to buy from you? What will transpire if a competitor answers these questions before you? Organizations lacking clear answers are already lagging. The second assumption is that success emerges from making existing processes more efficient.

History contradicts this notion. When electricity entered factories, numerous manufacturers merely replaced steam engines with electric motors while maintaining the same factory layouts. Henry Ford adopted a different approach. He redesigned production around what electricity enabled, introducing the moving assembly line and drastically reducing the time required to manufacture a car.

The technology mattered, but redesigning the business created the breakthrough. Many companies are repeating the original error. They are incorporating AI into antiquated workflows rather than rebuilding operations around AI. Faster iterations of flawed systems do not generate enduring advantages. Transformation does. The third assumption is that yesterday's career paths will yield tomorrow's leaders.

AI is diminishing much of the entry-level work that traditionally fostered expertise. Lawyers utilize AI for research and initial drafts. Engineers increasingly employ AI-assisted design. Analysts spend more time validating machine-generated insights than producing reports from scratch. The apprenticeship model that shaped generations of professionals is being dismantled.

Organizations disregarding this shift will face a significant skills gap, struggling to develop future experts since the work that once cultivated experience no longer exists. Companies must redesign hiring, training, promotion, and reward systems around a workforce collaborating with AI rather than competing against it. Businesses embracing reinvention will produce superior products, innovation at a faster pace, heightened competitiveness, and new prospects for workers open to adaptation.

Those resisting will lose customers, talent, market share, and eventually relevance. Industries will be led by those who opted for transformation over comfort. This isn't an IT project; it is the defining leadership challenge of this decade. Stop questioning how AI fits into your existing business. Begin questioning whether your current business merits survival in an AI economy.

Challenge all assumptions about value creation, work organization, and expertise development. Then act. Companies moving first will build the future. Those delaying will become exemplars of how swiftly success can transform into history. Ray Rasmussen, founder and managing principal of rGen Consulting, advises organizations on AI strategy, business transformation, analytics, and workforce modernization. The opinions expressed in this article are solely those of the writer.