Every generation believes it is living through unprecedented change. In many ways, we are. Artificial intelligence is reshaping how organizations hire, communicate, analyze data, train employees, and make decisions. The speed of adoption can feel overwhelming, especially for leaders trying to balance innovation with stability.

But history offers perspective.

Nearly 100 years ago, Americans experienced a technological and cultural transformation that looked remarkably similar to what we are seeing today. The 1920s brought widespread adoption of electricity, automobiles, telephones, radio, motion pictures, and mass production. Entire industries were reinvented almost overnight. Jobs disappeared. New ones emerged. Productivity soared. Society struggled to keep up.

During the 1920s, businesses that embraced new technologies gained significant competitive advantages. Assembly lines transformed manufacturing. Radio changed advertising and communication. Automobiles reshaped commerce, infrastructure, and even where people lived and worked. Organizations that resisted change often fell behind.

We are seeing the same pattern with AI. Companies are rapidly integrating AI into recruiting, customer service, data analysis, marketing, operations, and workforce planning. Employees are experimenting with tools that can summarize reports, draft communications, automate repetitive tasks, and generate insights in seconds. Like the technologies of the 1920s, AI is redefining work itself.

But history also reminds us that technological revolutions create anxiety alongside opportunity. The 1920s were marked by excitement about innovation but also fear about economic disruption and social change. Workers worried machines would eliminate jobs. Communities struggled with shifting expectations and changing workplace demands. The same concerns are emerging today as employees question how AI may affect careers, job security, and skill requirements.

What history teaches us is that technology rarely eliminates the need for people. Instead, it changes the value of human skills.

In the 1920s, organizations still needed workers who could adapt, problem-solve, communicate, and lead through uncertainty. The same is true today. While AI can automate tasks, it cannot replace human judgment, emotional intelligence, ethical decision-making, creativity, or relationship-building. Those capabilities may become even more important as AI adoption expands.

Another lesson from the 1920s is that periods of rapid innovation often outpace policies, workplace norms, and leadership readiness. Businesses spent years figuring out how to manage new technologies effectively. Some organizations overinvested. Others underestimated the cultural impact of change. We are already seeing similar challenges with AI as employers navigate governance, compliance, privacy, transparency, and employee trust.

That is why leadership matters so much right now.

The organizations that thrive during periods of transformation are not necessarily the ones with the most technology. They are the ones that communicate clearly, invest in employee development, and help people adapt with confidence instead of fear.

AI should not be viewed simply as a technology initiative. It is a workforce strategy issue.

HR leaders are uniquely positioned to guide organizations through this transition. They can help establish policies, identify skill gaps, support reskilling efforts, and ensure AI enhances work rather than diminishes employee engagement. They also play a critical role in maintaining the human side of the workplace during a period increasingly driven by automation.

The 1920s eventually became known as the “Roaring Twenties” because innovation unleashed enormous economic growth and transformed everyday life. But the decade also demonstrated that rapid progress brings disruption that organizations must manage thoughtfully.

The same will likely be true for AI. We may look back years from now and see this period not simply as a technology shift, but as a defining transformation in how work gets done. The challenge for leaders today is not whether AI will change the workplace. It already is. The real question is whether organizations will approach that change strategically, responsibly, and with people at the center.