To avoid being overwhelmed by AI's rapid progress, focus on staying ahead of the "speed of adoption," which is far slower than the "speed of research." Real-world implementation is slowed by legacy systems and organizational inertia. Outpacing this slower adoption curve is a manageable career strategy.

While the economic disruption from COVID saw a relatively quick bounce-back in employment, the changes brought by AI will be permanent. Many job functions and industries will not recover, representing a fundamental, one-way shift in the economy rather than a temporary downturn.

An anecdote of a 600-person company CEO feeling 'terrified' highlights the immense pressure on established businesses. The strategic landscape shifts in weeks, rendering plans obsolete before they can be implemented. This pace creates a risk of strategic paralysis or constant, frantic pivoting for non-native AI companies.

The immediate threat from AI is not automated job replacement, but competitive obsolescence. Professionals who refuse to learn and integrate AI into their workflow will be outcompeted and replaced by peers who leverage it as a tool. Adopting AI is a defensive necessity.

The real risk of AI is not direct replacement, but becoming obsolete by clinging to old workflows. Leaders who intentionally use AI to automate tactical work and clear a path for uniquely human tasks—like judgment and direction-setting—will thrive. Stagnation is the real threat.

While the current AI era shares similarities with the birth of the internet, the key difference is the sheer velocity of change. During the dot-com era, companies had more time to adapt. Today, the acceleration is so intense that companies that wait on the sidelines risk becoming obsolete.

Just as the asteroid's impact caused a rapid environmental shift that destroyed unadaptable dinosaurs, AI is causing an equally rapid societal shift. The most critical skill for individuals and organizations to survive and thrive is not intelligence or experience, but agility and adaptability.

Despite fears of rapid job displacement, the slow pace of technology adoption in large corporations provides a crucial window to develop solutions. The fact that many firms are still migrating to the cloud indicates AI integration will take years, not months.

Unlike COVID, which universally and immediately affected everyone, AI's disruption is gradual and highly sector-specific. A surgeon's job isn't changing this month, but a software engineer's is. The comparison creates misplaced urgency for many outside of tech.