The Agency Economy isn't a future state. It's here. And its leaders won't be those who build the best AI. They'll be those who best amplify human potential. That's what our brand stands for. Not artificial intelligence. Augmented humanity. Because in the end, it's not about better machines. It's about better humans.

We're living through the most dramatic intelligence explosion in history, and as Tim Urban's 2025 update shows, we're about to witness AI leap from "cute party tricks" to "what the hell just happened?" The gap between where we are and where AI is heading isn't measured in decades—it's measured in moments. While we're still marveling at today's AI doing "monkey tricks," tomorrow's superintelligence will make Einstein look like a chimp.

Jensen Huang revealed the three scaling laws that will reshape everything: pre-training gave us ChatGPT, post-training made it useful, but test-time scaling lets AI think for hours like a human expert. When machines can reason as long and hard as we can, we're not just getting better AI—we're getting AI that outthinks us at our own game.

Jensen Huang's roadmap shows we're about to leap from AI that creates content to AI that takes action in the real world. We're living in the final months of "AI as a tool"—by the end of 2025, agentic AI will handle your customer service, code your software, and manage your healthcare. The jump to physical AI means robots won't just think like humans, they'll work alongside us everywhere.‍

While computer chips doubled in power every two years under Moore's Law, AI is improving 4x faster every single year under Jensen's Law—that's a million-fold leap in a decade versus just a thousand-fold. Your smartphone got incrementally better each year, but AI is making exponential jumps that will transform entire industries. The differentiation you think you have today could be obsolete by next year.

AI has already surpassed humans in nearly every technical task—from coding to language translation to PhD-level science—but we still hold the edge in one critical area: multimodal understanding and reasoning that combines charts, images, and complex context. This isn't just about being "better than humans" anymore; it's about the final frontier where human intuition still matters. The question is: how long will this last advantage define your competitive edge?

We've reached the moment where AI models are scoring higher than 98% of humans on IQ tests. While the average human IQ sits at 100, leading AI systems are breaking into genius-level territory at 140+, with future models like GPT-5 potentially pushing even higher. The cognitive gap isn't widening gradually; it's exploding in real-time, and most people don't understand that race is over. (Caveats: 1) There is obviously more to human intelligence to than raw IQ;
2) The AI labs excel at training their products to perform well on these types of standardized tests.

In just the past year, OpenAI leaped from barely passing graduate-level exams to crushing PhD experts, with OpenAI's latest models scoring 84% versus 68% for human PhDs on the toughest scientific questions. We're watching decades of human expertise get surpassed in real-time—what took humanity generations to master, AI now learns in months. The question isn't whether AI will replace experts, but how quickly your industry will be transformed.

This shows the breakdown of Humanity's Last Exam's 2,500 questions—42% mathematics, 11% each for physics and biology/medicine, with smaller portions covering engineering, chemistry, and other expert domains. This is an effort to create the most comprehensive test of expert knowledge ever assembled. Just a few months ago, the world's smartest AI models could only answer <10% of these questions correctly, now they are at 26% and experts believe this benchmark will be eclipsed by year's end.

Goldman Sachs CEO David Solomon revealed the new reality of professional work: AI now handles 95% of what used to take teams of bankers weeks to complete, turning complex financial documents into commodity work done in minutes. The last 5% of human insight, relationships, and strategic thinking has become infinitely more valuable because everything else is now automated. Our competitive advantage today isn't about working harder—it's about competing on the work that machines can't replicate. Sometime it will be 5% like in this example. And at other times, it will be much more. We have to determine what can AI do, and what can it not?

When it comes to how we use AI, we're a little trapped in transactional thinking. Imagine giving people the Human Agency required to create value when Intelligence is abundant. Today's AI applications are embarrassingly small—basic automation and efficiency gains—while the most transformative opportunities remain completely unexplored, as Peter Gostev reveals. We could be reimagining entire industries around superintelligent systems. The biggest competitive advantage won't come from optimizing current workflows, but from having the imagination to envision what becomes possible when intelligence is no longer the constraint.

Most higher education institutions are stuck at the bottom of the AI pyramid, automating basic tasks and celebrating small efficiency gains while the real transformation happens at the top. The universities that will thrive aren't just using AI to grade papers or schedule classes—they're pioneering entirely new interdisciplinary programs, forging revenue-generating AI partnerships, and becoming intellectual leaders in the age of Abundant Intelligence. The question isn't whether your institution uses AI, but whether you're building toward visionary innovation or settling for individual improvements.

When it comes to AI, there are two types of organizations: those who see what's coming and those who wonder what hit them. Situational awareness isn't just about watching—it's about understanding the signals that matter while there's still time to act. Don't predict the future. Prepare for it.

Notice the pattern? Every major player is racing toward the same vision: AI that sees, understands, reasons, and acts. But each brings a unique strength. Together, they're not just improving AI—they're redefining what's possible in human-AI collaboration. The future of AI isn't coming. It's arriving.

Most organizations plan for a single AI future. That's like betting everything on one number in roulette. Smart leaders prepare for all four scenarios: breakthrough, growth, steady progress, or plateau. Because the cost of being wrong is far higher than the cost of being ready. Tomorrow's success depends on today's scenario planning.

Three panels tell one powerful story: widespread impact (80%), deep transformation (>50% of tasks in 20% of jobs), and the emergence of a new work hierarchy. The key isn't in the numbers, but in the nature of change. AI isn't just taking tasks—it's elevating human work, creating new categories of value where technology and humanity amplify each other. AI doesn't end jobs. It evolves them.

From steam engines to quantum computing, each revolution demanded new skills. But look closely at the pattern: we're not just adding complexity—we're shifting from physical to digital to human-AI fusion. The next leap isn't just about learning new tools; it's about reimagining what it means to be human in the age of AI. The next leap isn't about technology. It's about us.

While everyone obsesses over technical AI skills, the real competitive advantage lies in developing the uniquely human capabilities that become exponentially more valuable in an AI-driven world. Our framework reveals the skills that will separate thriving professionals from obsolete ones: complex problem-solving, emotional intelligence, visionary thinking, and the ability to orchestrate both humans and machines toward ambitious goals. The question isn't whether your organization uses AI—it's whether you're intentionally developing the human skills that make AI partnership transformative rather than replaceable.

In an age where AI can do almost everything, your purpose lies at the intersection of what energizes you, where you create real impact, how you stand out economically, and what only you as a human can contribute. This isn't traditional career planning—it's IkigAI, finding your irreplaceable role in a world of Abundant Intelligence. The most fulfilled and valuable professionals won't be those who compete with AI, but those who discover their unique human edge where passion, mission, contribution, and differentiation converge.

Stop thinking about your "job" as one monolithic thing that AI will either replace or leave untouched—instead, deconstruct every role into discrete tasks to strategically redesign how work gets done. Some components will be automatable, others will be augmentable through AI partnership, and the most valuable pieces will remain uniquely human. The future belongs to those who proactively redesign their roles around human-AI collaboration rather than waiting to be disrupted.

Once you've deconstructed your role into discrete tasks, the next critical step is auditing your skills and mindsets: which ones will remain durable for over five years, which are transferrable across roles, and which will become perishable in the AI revolution. The key insight is that while your current technical skills may have expiration dates, investing in new skills and mindsets around human-AI collaboration creates lasting competitive advantage. Don't just optimize what you already know—proactively build the capabilities that will matter when intelligence is no longer scarce.

The ultimate goal is to multiply your individual capacity by strategically partnering with AI to amplify what makes you uniquely valuable. When you systematically deconstruct your role, invest in durable skills, and master human-AI collaboration, you don't just adapt to the future of work—you become exponentially more capable than you ever were alone. This isn't about competing with machines; it's about becoming a hybrid professional whose combined human-AI capacity creates unprecedented value in the age of Abundant Intelligence.

This example illustrates job deconstruction in action—while AI handles routine inquiries and data analysis, humans focus on crisis management, relationship building, and personalized engagement that requires emotional intelligence. The future customer service professional isn't replaced by AI but becomes a hybrid specialist: leveraging AI for instant data insights and recommendations while applying uniquely human skills for complex problem-solving and empathy. This is exactly how every role will evolve—not elimination, but strategic reallocation of human talent to where it creates the most value.

When you actually measure how customer service professionals spend their time, the transformation becomes crystal clear: 80% of current work hours are spent on tasks that AI can automate or augment, leaving just 20% for uniquely human activities like relationship building and crisis management. This isn't theoretical disruption—it's a precise roadmap showing exactly how human talent will be reallocated to higher-value work while AI handles the routine. The future customer service professional won't work less, but will spend their entire day on the complex, empathetic, strategic work that only humans can do. What about your role?

While 86% of students are already using AI for schoolwork—with nearly a quarter using it daily—most are developing terrible habits that will hurt them in the job market. The AI skills gap is widening between students who learn strategic AI partnership and those who use it as a crutch, creating a massive competitive advantage for graduates who master human-AI collaboration. The challenge isn't stopping students from using AI—it's teaching them to use it in ways that enhance rather than replace their critical thinking, creativity, and uniquely human capabilities.

The hiring landscape has fundamentally shifted: 66% of leaders now refuse to hire candidates without AI skills, making AI agility a non-negotiable requirement rather than a nice-to-have advantage. This isn't just about knowing how to use ChatGPT—employers are demanding graduates who can strategically integrate AI into workflows, solve complex problems through human-AI collaboration, and adapt as AI capabilities evolve. Students and professionals who master AI agility today aren't just getting ahead—they're avoiding career obsolescence in a world where AI fluency determines employability.