The View from 75 MPH
I’m dictating these words while my Tesla drives itself down the interstate, somewhere between my home in Iowa and a meeting in Milwaukee. I’m not typing, I’m not hunched over a laptop, but I am working—conceiving, structuring, and creating this very article in real-time. This isn't a scene from a futuristic movie. This is my reality, right now.
And that’s the point. The transition to a new, AI-powered economy isn’t a gradual shift on the horizon. It’s not something to prepare for in the next five years. The flip has already happened. We are living in it now. The old economy, the one we all grew up in, became a historical artifact sometime in the last 12 months.
This new economy is defined by one overwhelming characteristic: a terrifying, exhilarating, and frankly unbelievable speed. The old constraints of time, cost, and specialized knowledge that governed business for decades have been shattered.
In this article, I’ll walk you through the seven fundamental shifts that prove we’ve crossed the threshold. We'll explore how AI has irrevocably transformed software, research, reasoning, media, advisory services, communication, and learning. These aren’t theoretical changes; they are practical, accessible revolutions happening today.
1. The End of Software as We Knew It
In the old economy, custom software was the ultimate competitive advantage—a moat built with code. But it was a luxury few could afford. The sheer cost and complexity forced most businesses to rent one-size-fits-all SaaS solutions for everything from CRM to marketing, accepting that a perfect-fit tool was simply out of reach.
That entire paradigm is now obsolete. The economics of software development have fundamentally inverted, thanks to the rise of agentic coding models.
The business implication here is profound. The rate of experimentation is no longer gated by capital. Any business leader can now identify a problem, conceptualize a custom software solution, and manifest it in a matter of days. This isn't just an incremental improvement; it's a phase change in our ability to solve problems, creating a new landscape where the quickest to build and test will win.
But building solutions is only half the battle. This new velocity of creation is matched by an equally shocking acceleration in how we discover the problems worth solving in the first place.
2. From Six-Figure Reports to 20-Minute Insights
For decades, strategic decision-making relied on market research. But like custom software, high-quality, bespoke research was a privilege reserved for the corporate elite. If you wanted to truly understand a market, validate a strategy, or scout the competition, you had a well-worn path.
- The Legacy Way: You engaged a specialized consulting firm like McKinsey. You paid a six-figure price tag. You waited weeks, sometimes months, for a team of analysts to deliver a beautifully formatted deck of insights.
- The New Way: Now, I open a chat window with a high-performance AI like those from xAI, OpenAI, or Gemini. I activate its "deep thinking" or "heavy research" mode and provide a detailed prompt. In the time it takes to drink my morning coffee, I have a level of comprehensive, cited analysis that once cost a fortune.
Yes, there's a caveat: the output still requires human fact-checking due to the potential for AI "hallucinations." However, this issue is diminishing rapidly with each model update. The core truth remains: a capability that was once exclusively available to the Fortune 500 is now accessible to any entrepreneur with a credit card.
The "so what?" for business is seismic. A traditional competitive advantage—the ability to out-spend on intelligence—has been nullified. The new advantage is the ability to ask better questions and act on the answers faster than anyone else. With near-instant access to elite-level intelligence, the bottleneck is no longer information; it's the high-level reasoning required to act on it. But that barrier is also dissolving.
3. Your New PhD Employees: Reasoning at Scale
The ultimate human bottleneck in the old economy was high-level problem-solving. Finding, hiring, and retaining the rare talent with PhD-level reasoning skills was one of the most difficult challenges a business faced. Think of the supply chain expert who could look at a mountain of fuzzy data and just know how to make a supply chain sing, optimizing purchasing, scheduling, and logistics with an almost intuitive grasp of a thousand variables.
- The Old Constraint: You searched high and low for these individuals. They were expensive, difficult to find, and you were limited by the number of experts you could physically hire and afford.
- The New Abundance: You can now apply a virtually unlimited number of "PhD-level AI reasoning agents" to your hardest problems. These agentic systems don't just process information; they reason. They can script their own code to analyze data, search the web for context, and even use "computer use technologies" to look at screens and interpret visual information.
This represents a complete paradigm shift. We’ve moved from a world where your problem-solving capacity was limited by your payroll to one of "unlimited knowledge on a tap." The ability to optimize, strategize, and solve deep, complex problems is no longer a scarce resource. It is an on-demand utility, ready to be deployed at a marginal cost. This shift from scarce human experts to abundant AI reasoners melts the constraints on cognitive tasks. But what about creative ones?
4. The On-Demand Creative Department
In business, perception is reality. Creating compelling media—from marketing campaigns and product explainers to internal training videos—has always been a cornerstone of strategic success. It has also been a complex, costly, and time-consuming endeavor. The old way involved hiring specialist agencies, directors, and crews for tens of thousands of dollars and weeks of work.
The new way is different. Last week, for a demo, I prompted Suno to create a jingle on the fly. The result was so good I laughed out loud. That entire creative process, from spark to song, took two minutes. You can now use models like Google's Nano Banana, Seedream v4, or Midjourney to generate stunning custom imagery, use Runway, Veo 3.1 or Sora 2 to create video clips and animated avatars from a simple text prompt, and compose original music in seconds. The entire creation time collapses from weeks to minutes, and the cost plummets from thousands of dollars to pennies on the dollar.
We are witnessing the complete atomization of the creative process. The only remaining piece of the puzzle is AI-powered editing, which is rapidly approaching. Soon, we will be able to go from a simple idea to a fully produced, polished media product, end-to-end, with AI handling every step. With the entire creative stack now available on demand, the power to shape perception is in everyone's hands. Yet, even the best creative output is useless without the right strategic advice to guide it.
5. The AI Business Advisor in Your Pocket
Every leader understands the value of a trusted advisor. Historically, C-suite level counsel was a gated community, with firms like McKinsey, Bain, and Accenture serving as the gatekeepers for a hefty price tag. Today, any leader can spin up a personalized, custom "board of directors" in minutes—a ghost board that works for you alone.
Think of it:
- Google's LM Notebook is your board's archivist, with a perfect memory of all your private company data, ready to be queried instantly.
- OpenAI's Pulse is your proactive market intelligence officer, running as a scheduled daily process to deliver a curated, "proactive news feed" tailored to your strategic interests before you even know what to ask.
- OpenAI's agents framework and platforms like Lindy AI are your R&D department, allowing you to build custom, multi-LLM agents that can reason over sensitive data.
The result is a monumental shift from expensive, periodic advice to an instant, constant, and proactive strategic sounding board. This AI board never sleeps and never bills, giving every leader a previously unimaginable strategic advantage. Having a constant, proactive strategic advisor changes the what of leadership. The next revolution changes the how—the very speed at which we can communicate those strategies.
6. Voice 'Vibes' Velocity: The End of the Keyboard
For the last three decades, the speed of your fingers has been the fundamental governor on your productivity. The act of being "hunched over a laptop" physically tethered knowledge workers to their desks and throttled the rate of idea transfer. Your impact was limited by how fast you could type.
I am living proof of the revolution that has ended that era. As I mentioned, this entire article is being dictated from the driver's seat of my car. I'm using my voice, aided by tools like the Limitless AI pendant, to capture and articulate these ideas in the moment they occur, untethered from any desk.
This is more than just speech-to-text. Tools like WisprFlow are making the translation from voice to text faster, smarter, and more seamless than ever before. We are entering the age of "vibe coding," where developers instruct coding agents with their voice. The math is simple and brutal:
The old rate of productivity was 40-60 words per minute (typing). The new rate of productivity is 150+ words per minute (speaking).
This isn't just about a 3x increase in speed. It's about freedom. It’s the ability to create, strategize, code, and execute from anywhere—on a walk, during a commute, at a job site. This newfound velocity of execution is liberating, but its true power is realized when combined with an equally accelerated velocity of learning.
7. The Polymath Unleashed: Learn Anything, Instantly
The old economy was defined by hyper-specialization. Careers were built over decades, slowly accumulating deep knowledge in a single, narrow domain. To build a company, you had to assemble a "guild" of these human experts—a finance specialist, a marketing guru, a logistics wizard—because the opportunity cost of learning a new, complex skill was simply too high.
The new economy shatters this model and unleashes the polymath.
- Old Economy: You were stuck in your lane.
- The AI Economy: You can learn anything, anytime, anywhere.
We see tech executives like Google's Sundar Pichai learning to "vibe code" on the weekends. A CEO doesn't need to hire an expensive agency to understand the new world of AEO (answer engine optimization), and GEO (generative engine optimization); she can master the core concepts in an afternoon with a dedicated AI tutor. This empowers a radical new organizational strategy:
Instead of hiring a human expert, build an AI agent first. Only then, if needed, hire a human for oversight and orchestration.
Ask yourself: is your current default to post a job description, or is it to architect an agent? The answer to that question will likely determine your company's trajectory for the next decade. This inversion of the traditional hiring model empowers individuals to become infinitely more capable and allows organizations to get way more done with far fewer people.
Your Mandate: Get in the Game
The seven shifts I've outlined are not isolated trends. They are the interlocking pillars of a new reality, and the pace of change is only accelerating. In the new economy, a month feels like a year. The progress we see in the next 12 months will make today's powerful tools feel like ancient history.
This brings us to a critical paradox. As mind-blowing as these capabilities are, you must understand this one simple truth:
This is the worst the AI will ever be.
The tools we have today are the most primitive, clunky, and inefficient they will ever be again. Every single day, they get faster, smarter, and more integrated.
This is why waiting on the sidelines is not an option. AI is a participation sport, not a spectator game. This is not something you delegate. This is something you do. You, the business leader, must take agency. You must learn the tools. You must transform yourself and your business to operate at this new velocity.
The starting gun has already fired.
See you on the track.
The preceding content was provided by a contributor unaffiliated with Printing Impressions. The views expressed within may not directly reflect the thoughts or opinions of the staff of Printing Impressions. Artificial Intelligence may have been used in part to create or edit this content.
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