— By manufacturing expert Buckley Brinkman
Artificial intelligence will reshape how we work, learn, build companies, and live our daily lives. Yet many people still miss the bigger picture. We tend to overestimate how complicated AI is while underestimating how powerful it will become. In reality, AI represents a fundamental shift in how innovation happens across education, business, consulting, and everyday problem-solving.
For decades, adopting new technology required deep technical expertise and significant financial investment. If you wanted to implement a meaningful digital solution, you needed a specialist—and a sizable budget. That reality slowed innovation and made experimentation risky.
AI changes that equation.
Today, anyone with curiosity and imagination can start using AI to solve problems. The expertise required is dramatically lower, and the financial barriers are almost nonexistent. Instead of months of planning and development, meaningful results can emerge in a single afternoon. The lack of friction in implementation means organizations and individuals can move faster than ever before.
That speed will reshape long‑standing assumptions.
In education, AI forces a shift away from memorization toward critical thinking, communication, and creativity. The real value of learning will no longer be the ability to recall information but the ability to analyze, interpret, and apply it. Across Wisconsin universities—from UW‑Madison to UW‑Stout—faculty are discovering how AI helps students move beyond information gathering and into problem‑solving and design thinking.
Software business models will evolve as well. AI agents increasingly perform tasks that once required standalone applications or traditional SaaS platforms. Individuals can create customized tools that solve specific problems without writing a line of code. Software will not disappear—far from it—but its value will shift from static products toward flexible, integrated solutions.
Consulting also feels the impact. Many professional services firms rely on billable hours as their primary revenue model. AI dramatically compresses the time required to complete research, analysis, and strategic work. Clients can now perform much of this work themselves, which reshapes traditional consulting relationships. The future of consulting will focus less on building solutions from scratch and more on tailoring and implementing them effectively.
Businesses themselves will also operate differently. AI excels at repetitive work—data compilation, research, summarization, and process management. By taking over these tasks, AI frees people to focus on strategy, creativity, and innovation.
We are already see the early signs of this shift in Wisconsin’s manufacturing sector. Leading small- and medium‑sized manufacturers use AI tools to improve predictive maintenance, streamline supply chains, and accelerate product design. Tasks that once required expensive software or outside consultants can now be tackled internally by engineers and managers using AI‑powered tools.
As a result, AI creates significant gains in productivity and the emergence of entirely new opportunities.
Of course, change of this magnitude brings both disruption and opportunity. Success in the AI era will depend on resilience—the willingness to experiment, fail, learn, and adapt quickly. Leaders need the ability to assess situations honestly, avoid panic, set a clear direction, and move decisively.
If we want to shape a stronger future, we must lean into AI. Choosing resistance or apathy simply hands control of our future to others. Each of us must define—and then create—our own value in an AI‑enabled economy.
Start simple – jump in!
Find a mentor or champion who can accelerate your learning. Experiment constantly with different tools and approaches. Use those experiments to spark creativity and uncover new possibilities. Then focus on two or three projects that can deliver quick wins and build momentum. Learn from those successes and repeat the process.
Wisconsin always thrives when we embrace new technologies—from advanced manufacturing to biotechnology. Artificial intelligence represents the next chapter in that tradition.
Now is the time to step into the AI pool. Those who begin exploring today will be far ahead of the crowd tomorrow.
