Everyone’s abuzz about the future of AI and human productivity. Whether you manage a team, work on one, or just love new tech, you’ve seen the stories about AI changing everything from job roles to daily life.
This brings up the big question: what does it mean for our work and our society?
The clearest way I’ve found to answer it is the 6 stages of AI, a map of the full journey from early automation to a post-AGI world. Four of these stages have already happened. We’re living through the fifth’s opening act right now, and the data proves it.
Let’s walk through all six, and then get into what the economics actually look like.
The 6 Stages of AI Development
There are 6 stages in the journey to ultimate AI, better known as AGI. Each stage automated a new layer of human work, and each one gave us a preview of the next.
Stage 1: Early Automation
Around 2010, machines began taking over data entry, simple calculations, and routine processes.
Anyone fresh out of college taking data entry jobs watched those roles evaporate. Clerks and typists were wiped out, and nobody held a national conversation about it because it happened quietly, one back office at a time.
Stage 2: Context-Aware AI
A decade later, Siri and Google Assistant arrived, and basic low-level customer service started getting automated.
The machines could now understand context: your location, your history, your intent. That was the unlock that let software answer phones.
Stage 3: Domain-Specific AI Expertise
In 2016, AlphaGo beat top Go player Lee Sedol, proving AI could achieve superhuman mastery in a single domain.
Sam Altman made an observation about this era that I think about constantly: “There were a lot of predictions that chess was totally done, that no one was going to bother to play chess anymore. But I believe chess has never been more popular than it is today. We don’t watch AIs play each other. What we’re really interested in is what humans can do.”
Hold onto that. It matters enormously for stage 5.
Stage 4: Narrow AI With Creative and Reasoning Abilities
This is the stage we just lived through at full speed. AI learned to create art, write stories, and develop working software, with remarkable speed and quality.
I saw this one coming personally. In 2021, I sold my writing agency and got out completely, before GPT-3 went mainstream and ChatGPT arrived in fall 2022. Copywriters started losing jobs within two years, and today ChatGPT alone serves 900 million people every week.
Writers, artists, and videographers felt it first. But stage 4 was the warning shot, and most industries ignored it.
Stage 5: Arrival of AGI
This is the stage now opening. AGI meets and eventually exceeds human ability across the board: complex tasks, innovative solutions, emotionally engaging content.
The leading edge is already measurable. AI has been the single most-cited reason for U.S. layoffs for 4 straight months in 2026, and lab leaders like Dario Amodei say AGI-level systems arrive within a few years.
Now think about what Altman said about chess. Even if AI becomes a top YouTube creator, will you want to watch something fully AI-generated, or will you want to relate to a real human? When I watch YouTube, it’s real people I follow and real people I listen to.
That preference is the seed of the post-AGI economy. Human connection becomes the scarce good.
Stage 6: Post-AGI Society
The final stage is an era of abundance where traditional jobs are gone, and work humans actually want to do gets reintroduced, so we keep purpose without the burnout.
Industries will be managed and led by AI, and we’ll participate in them by choice rather than survival. Productivity stays. The paycheck-or-starve stress goes.
The Economic Impact of AI: Cheaper, Faster, Better
Let’s talk dollars and cents. AI, automation, and robotics are cheaper, faster, and often better than human labor, and they’re coming for every industry, not just factories.
But before you stockpile canned goods, look at what the data actually shows: the labor market isn’t collapsing uniformly. It’s splitting in two.
PwC’s 2026 Global AI Jobs Barometer, built on over one billion job ads across 27 countries, found workers with AI skills now command a 62% wage premium over peers in the same roles, up from 57% a year earlier. Jobs requiring AI skills are growing 8x faster than the overall market.
And here’s the finding that breaks the doomer narrative: headcount at the most AI-exposed companies grew 52% versus 36% at the least exposed, while the top tier of AI-adopting companies posted 163% labor productivity growth. The companies using AI the most are hiring more, paying more, and producing more.
The punishment is falling on the people and companies that opted out. That’s the real shape of “cheaper, faster, better”: it’s a sorting mechanism, and you get to pick your side while the sorting is still underway.
The Era of Abundance: Meeting Basic Human Needs
Imagine a world where AI takes care of our basic needs: food, shelter, healthcare, education. A world where scarcity fades, and everyone can access the essentials of life.
Sound too good to be true? Not to futurists like Peter Diamandis, who has spent a career documenting how technology turns scarce resources into abundant ones, from information to energy.
The mechanism is simple: when intelligence itself gets cheap, everything intelligence produces gets cheap with it. Diagnosis, design, education, logistics. The cost curves all bend the same direction.
The Future of Work: Job Displacement and Universal Basic Income
“Will robots replace me at work?” It’s normal to feel uneasy, and the concern is grounded: a National Bureau of Economic Research survey of CFOs projects roughly 502,000 U.S. roles lost to AI in 2026 alone.
From truck drivers to radiologists, no job is untouchable. And yet the same shift keeps creating brand-new roles and industries we couldn’t fathom, the same way the Industrial Revolution created engineers and factory supervisors.
The transition is the hard part, which is why UBI keeps moving from fringe idea to serious policy conversation. The idea is simple: give everyone a basic income to cover essential needs, whether they work or not.
And we now have real evidence about what happens. Sam Altman’s OpenResearch ran the most comprehensive guaranteed income study in U.S. history, giving 1,000 people $1,000 a month for 3 full years. Recipients spent the money on food, rent, and transportation, stayed in the workforce, sought more medical care, and gained a stronger sense of agency, with some starting businesses.
Rediscovering Human Meaning Beyond Work and Productivity
Perhaps the greatest gift AI could give us is the chance to redefine what it means to be human.
For centuries we’ve tied our worth and identity to our work. So what happens when machines do everything better, faster, and cheaper?
Think about a society where pursuing what you love is the norm: exploring ideas, creating, connecting deeply with other people as an everyday experience rather than a vacation-week exception. No longer cogs spinning away mindlessly.
This is what I mean by liberation through the machines. AI hands us back the hours, and we spend them on family, community, faith, and the passions that make a life worth living.
How to Prepare for a Post-AGI World
Start by staying informed. Follow the developments, and think critically about how each one touches your work specifically, because the timeline compresses every year.
Then move to the winning side of the sorting while the premium is highest. The 62% wage gap between AI-skilled and AI-naive workers is the market screaming at you to upskill, and that premium goes to operators, not spectators.
Keep learning and stay flexible. The skills that worked before won’t cut it, and the entry-level jobs of the near future already demand judgment and leadership that used to be senior-level territory.
The future of AI depends on what we do right now. Keeping ourselves educated, having honest conversations, and cooperating across society is how humans and AI flourish together.
FAQ: The 6 Stages of AI
What Are the 6 Stages of AI?
The 6 stages of AI are: early automation (routine tasks like data entry), context-aware AI (assistants like Siri), domain-specific expertise (systems like AlphaGo), narrow AI with creative and reasoning ability (ChatGPT and today’s agents), AGI (matching human ability across all tasks), and post-AGI society (abundance, with human work reorganized around meaning). Each stage automated a deeper layer of human capability than the last.
What Stage of AI Are We in Right Now?
We’re at the boundary between stage 4 and stage 5. Narrow AI with creative and reasoning abilities is fully here and reshaping the labor market, while early AGI signals are arriving: agents completing multi-step work, AI as the top cited layoff reason for 4 straight months in 2026, and lab leaders projecting AGI-level systems within a few years. The transition years are exactly when positioning matters most.
Will AGI Cause Mass Unemployment?
It will displace enormous numbers of tasks, and the displacement has measurably started. But the current data shows a split rather than a collapse: companies deepest into AI are growing headcount faster than companies avoiding it, and AI-skilled workers earn a 62% premium. The mass-unemployment scenario becomes real at full AGI, which is why UBI and new economic models need building now, during the split, not after it.
What Is UBI and Would It Actually Work?
Universal Basic Income is a recurring cash payment to every person, no strings attached, designed to cover essential needs. The largest U.S. study, run by OpenResearch, gave 1,000 people $1,000 monthly for 3 years and found recipients stayed in the workforce, covered necessities, invested in health, and gained agency. It’s evidence that cash floors support stability rather than idleness, which is exactly the function they’d need to serve in a post-AGI economy.
The people who thrive through all 6 stages of AI won’t be the ones who predicted the timeline perfectly. They’ll be the ones who moved early at every stage.
Move now. AI Labs trains you to become the AI operator earning that premium, for $250/month, and our consulting team builds complete AI systems inside businesses doing $250K+ a year.
