The Dawn of New Human Experiences-AI and Low Fertility

This posting was inspired by my recent reading of Noah Smith article titled, The Dawn of the Post Human age dated June 27, 2025. In this article, he discussed that between new technology ( Generative AI) and low human fertility, our existence as a human species is not going to be the same. This 22-page article was forwarded to me, by Phyllis Morical, a dear friend and one of my favorite bridge partner. I asked two of my virtual writing Assistants to summarize it for me for my daily blog postings for my readers all over the world. Here are 2 versions for your reading pleasure.  

Version 1: The Dawn of a New Human Experience

In his recent essay The Dawn of the Posthuman Age, Noah Smith argues that we're entering a pivotal transformation—not through massive GDP booms, but through profound shifts in what it means to be human. Two under-the-radar forces are driving this change: the rise of digital intelligence (especially generative AI) and a sustained decline in fertility around the world. The interplay between these strands may well redefine our species' future.Bitly

Generative AI: Ushering in the Hive Mind

Generative AI tools—like large language models—are reshaping how we think and create. Rather than being the product of individual human insight, much of our creativity is becoming outsourced to collective digital systems. Smith likens users of LLMs to “walking terminals of the world-mind,” drawing on centuries of accumulated human knowledge embedded in these models.Bitly

The upside? Humanity, as a collective intelligence, becomes more powerful and productive. The downside? The age of extraordinary individual “heroes”—like Einsteins or Martin Luther Kings—may be fading. Creativity becomes democratized, but possibly more homogenized.Bitly

Fertility on the Decline: Vanishing Humanity?

Simultaneously, fertility rates are plummeting globally—a phenomenon Smith calls the Second Fertility Transition. As societies grow richer, urban, and educated, birth rates commonly drop from 5–7 children per woman to around 1.4–2.Bitly

Worse yet, many demographic forecasts have overestimated future births. Economist Fernández-Villaverde suggests that the world might already be at replacement-level fertility—meaning population growth is near its peak and will likely decline soon.Bitly

The math here is unforgiving: dropping from 2 to 1 child per woman takes us from stability to extinction over generations. Aging populations demand more from fewer workers, slow productivity, shrink the pool of researchers and innovators—and, combined with automation, may open a perilous feedback loop of human decline.Bitly

A Feedback Loop: Tech Dampens Reproduction

Intriguingly, technology itself may be accelerating fertility decline. Early findings suggest that social media and mobile use correlate with lower desire to have children. Smith cites evidence from China and parts of Africa connecting “new media” exposure with reduced fertility.Bitly

As more people—especially the young—find digital connection substituting for offline relationships, forming families may lose its appeal. With fewer births, societies grow older, creating even greater reliance on digital tools to sustain social cohesion. Thus begins a self-reinforcing cycle: connectivity reduces reproduction, which deepens reliance on connectivity.Bitly

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Version 2:  “What does it mean to be human when machines become our collective muse…and when fewer of us are being born to experience it?”

These aren’t sci-fi hypotheticals. As Noah Smith contends in The Dawn of the Posthuman Age (June 27, 2025), two subtle shifts—advancing AI and plummeting fertility—may be transforming our species in ways as profound as the Industrial Revolution.Bitly

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1. The Rise of the Digital Collective

We’ve entered an era where creativity and knowledge are increasingly mediated by generative AI. No longer do breakthroughs come primarily from solitary geniuses—the wisdom of centuries lies baked into our digital infrastructure. LLMs like ChatGPT let us tap into and remix this reservoir with ease. But that ease brings trade-offs: as Smith cautions, “AI substitutes for our own creative efforts,” potentially dulling individual cognitive development even as it amplifies collective output.Bitly

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2. The Quiet Collapse of Human Reproduction

Parallel to the digital shift is a demographic one. Across the globe, birth rates have collapsed. The stars align—richness, urbanization, education—but the consequence is stark: fertility falling from “just enough” to “not enough.” And if Fernández-Villaverde is right, fewer babies are being born than we assumed, meaning humanity may peak and begin to shrink within decades.Bitly

This isn’t just a numbers game. A dwindling population slows innovation, burdens growing elder cohorts, and undermines long-term economic sustainability—especially if AI can't fully shoulder the load.

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3. Tech and Fewer Babies: A Vicious Spiral

Worse, the same technologies supporting our hive mind may be dimming human desire. Research suggests heavy social media use is linked to reduced fertility intentions. As young people find fulfillment and identity online, offline relationships lag—even as reproduction demands time, intimacy, and investment. And so the cycle continues: less reproduction, more dependence on digital lifeworlds; more digital immersion, even fewer births.Bitly

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4. Are We Doomed—or Evolving?

Smith's framing is sober—not sensational. This isn’t about a robotic takeover. Rather, it’s a subtler shift: humanity transitioning from flesh-and-blood selves into nodes in a global digital consciousness—fewer in number, but perhaps more connected. The end of population growth might be offset by collective intelligence via AI.

Some worry this portends dystopia, but Smith reminds us there are non-dystopian levers—reforms on childcare, gender equity, immigration, housing, elderly care—that might rebalance things.Bitly

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5. What’s Next: Action, Not Resignation

If you write about a posthuman future, aim to provoke agency, not despair. Technology and demographics are reshaping us—but we still choose our policies, norms, and values. Humanity may reorganize itself, but it doesn’t have to disappear. Let’s ask: How do we preserve individual meaning in a digital age? How can technology serve—not supplant—human bonds and creativity? How do we reverse debilitating fertility trends without coercion?

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Final Thoughts

The posthuman age isn’t about Terminators. It's about subtle, seismic shifts in how we think, create, and reproduce. Generative AI reshapes our creative identities. Falling fertility reshapes our collective future.  Together, they pose both a challenge and an opportunity: a chance to redefine humanity for a new era—if we act wisely.

Which Version Do you prefer? I love them both. Any thoughts and comments? For Details read the following: 

https://www.vox.com/economy/420074/ai-birth-rates-pronatalism-future-of-work-automation-jobs-economy

https://knowledge.wharton.upenn.edu/article/fertility-rates-are-declining-is-tech-to-blame/

https://scottsumner.substack.com/p/fertility-and-the-ai-event-horizon

Meanwhile, here's the detail of what I said to my Tuesday Bridge Group on AI and Babies:

In a moment that sounds like science fiction—but isn’t—AI did more than assist—it birthed a baby.

A 40-year-old woman in Guadalajara, Mexico, is the mother of the world’s first baby conceived using a fully automated, robot-controlled IVF system. No, it wasn’t human hands guiding that needle—it was artificial intelligence and digital commands from New York.

Here’s how it worked:

• The AI handled all 23 steps of Intracytoplasmic Sperm Injection (ICSI)—from picking the best sperm, freezing its tail with a laser, to injecting it with precision beyond human steadiness.

• Out of five eggs treated, four fertilized. One embryo led to a healthy baby boy.

• It’s a medical miracle—and a glimpse into a future where tech removes human inconsistency from reproductive medicine.

Lastly, Here’s an up-to-date overview of the most profitable AI applications available right now (as of August 2025)—from enterprise-scale systems to lean, high-margin offerings:

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Established, Profitable AI Services

• Canva
  A powerhouse in the design space, Canva now generates over $3.3 billion in annualized revenue and has been consistently profitable for the past eight years. Its expansion into AI tools like Canva Code, Canva Sheets, and generative features is fueling ongoing growth and value. The Australian

• Perfect Corp (AI Beauty Tools)
  Specializing in AI-driven beauty tech, Perfect Corp reported $60.2 million in revenue with an adjusted net income of $8.3 million in 2024. Wikipedia

• SoundHound / Amelia 7.0 (Voice AI Agents)
  SoundHound’s AI voice agent platform Amelia 7.0 saw 217% year-over-year revenue growth to $42.7 million in Q2 2025. It’s actively expanding across industries like healthcare, quick-service restaurants, and financial services. Wikipedia

• Intuit’s AI Agents for QuickBooks
  Launched in July 2025, Intuit’s AI agents streamline accounting, payments, financial analysis, and CRM tasks—saving businesses up to 12 hours per month and boosting operational efficiency. Investors

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AI-Driven Business Models & Emerging Platforms

• AI-Powered Medical Scribing (Ambience Healthcare)
  Ambience Healthcare, a key player in ambient medical transcription and coding, raised $243 million in Series C funding. Its technology is widely adopted across major health systems, aiming to dramatically reduce administrative burdens. Business Insider

• Vertical SaaS with AI
  Vertical SaaS platforms—serving niche industries with tailored AI workflows—are standing out. These startups typically require less capital and reach profitability faster than broad-market platforms. The Economic Times

• AI in Retail Resale (The RealReal)
  The luxury resale marketplace uses AI tools like Athena AI for authentication and efficiency, helping it produce a Q2 2025 gross profit of $123 million on revenue of $165 million—a sign of healthy margins. Vogue Business

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AI Powering Operational Efficiency at Scale

• Corporate Cost Savings via AI
  A study from Morgan Stanley estimates U.S. companies could save up to $920 billion annually through full AI adoption, primarily by reducing labor costs and increasing productivity. Axios

• Infrastructure Boost (Cisco)
  Cisco is benefitting from massive AI infrastructure demand, receiving over $2 billion in orders in fiscal 2025—doubling initial expectations—driven by enterprise investments in AI-ready infrastructure. Reuters

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High-Margin, Scalable AI Startups & Business Ideas

Across sectors, entrepreneurs are leveraging generative AI in these high-value, low-friction models:

Opportunity	Description
AI Content Creation Tools	Platforms like Jasper, Omneky, etc., help generate marketing content, ads, and creative assets at scale. Jasper cuts content creation time by 50%. YeasiTechWikipedia
AI Chatbot / Virtual Assistant Services	AI-powered customer support and task automation can drive reliable fee-based models in e-commerce, healthcare, real estate. AiNewsBaseAI Apps
Predictive Maintenance for Industry	Reduces downtime and extends equipment life via IoT and AI analytics—very attractive for B2B clients. Bigly Sales
Personalized Fitness, Nutrition & e-Learning Platforms	Subscription-based platforms that use AI to tailor wellness or training—high user retention and scaling potential. Bigly SalesFuelerAIFire
AI-Generated Online Course Creation	AI tools that help creators build, script, and launch courses with minimal effort—tapping into the booming e-learning market. AIFire
No-Code AI App Builders(e.g., Bubble, Div-idy)	Allow entrepreneurs to build AI-enabled tools without coding. Div-idy, for example, lets users create websites or games from natural language. MediumWikipedia
AI in Finance & Fintech	AI tools for budgeting, trading bots, financial licenses automation, and artist royalty forecasting. Examples include BeatBread, Clerkie, Brico. Business InsiderAiNewsBase
AI Legal-Tech & HR	Automating contract analysis, recruitment, resume screening—high efficiency gains and cost savings. Stellar TechnologiesLinkedIn

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Summary: Which Are the Most Profitable Right Now?

1. Canva, Perfect Corp, SoundHound, and Intuit—mature AI-backed enterprises—are already generating strong revenue and profits.

2. Ambience Healthcare and The RealReal showcase how AI can drive profitability in specific domains like healthcare and resale.

3. For startups and solopreneurs, AI content tools, chatbots, predictive maintenance, and personalized wellness or education platforms offer swift paths to monetization and scale.