This generation’s choices, the next generation’s fate

My reflection on AI, inequality, and the fragile future we are dictating

Introduction: The Weight of a Generation

Every generation inherits problems from the last, but ours has inherited a particularly volatile mix, climate collapse knocking at the door, inequality baked into our economic systems, political leaders more focused on headlines than humanity, and now, the rapid acceleration of artificial intelligence.

I’ve spent over two decades in technology, building cloud systems, leading teams, and now coaching professionals navigating this chaos. I’ve seen how technology opens possibilities we’ve built platforms that can connect the world in seconds, transform businesses overnight, and save lives with better data.

But I’ve also seen how poorly we handle the human side of change.

Layoffs justified as “efficiency.” Leaders obsessed with quarterly results instead of long-term well-being. Teams stretched until burnout becomes normalized. And now AI sold to us as salvation threatens to deepen every crack we’ve already refused to repair.

Feels tech is out of ideas and are betting on tools to give them new ideas…

AI is not arriving in a vacuum. It’s arriving in a society already fractured, exhausted, distracted, and deeply distrustful. Which means the story of how we, this generation, handle AI will echo for decades.

We’re writing the fate of our children and grandchildren in the choices we make now whether we admit it or not.

And while history often tells the story of “progress,” what’s left unsaid is who carried the costs, and who wrote the rules of the game.

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Part I: The Double-Edged Sword of AI and Work

I’ve lost count of how many times I’ve heard the mantra: AI won’t take your job; someone using AI will.
It sounds clever.

It even feels empowering at first. But like most corporate slogans, it hides more than it reveals. That you are a part of the free advertising, from which these companies thrive.

Yes, some jobs will transform. Yes, new roles will be created. But let’s not lie to ourselves, the disruption is wider, deeper, and faster than most are willing to say out loud.

Tech it seems has gone mad, drunk by their own inflated speeches and their promises of saviours of humanity. Is nothing more than filling their pockets.

In my early years, we worried about automation in factories. Machines replaced hands, but so-called “knowledge work” was supposed to be safe. Now, I coach copywriters, designers, analysts people who once believed creativity or expertise insulated them. Today, they watch AI generate in seconds what took them hours. Work they took decades to perfect and AI like a trawler that collects everything in their path, careless of the impact or copywriting agreements, everything is fish.

Their once-secure value is being quietly rewritten by code.

New jobs are being created prompt engineers, data ethicists, AI trainers but these roles are gated behind advanced degrees, technical fluency, and elite networks. Recent analyses show over 70% of AI-related postings require postgraduate qualifications or niche technical credentials. Do we really believe the call center worker in Manila, the retail assistant in Birmingham, or the laid-off logistics coordinator in Ohio will simply “upskill” their way into machine learning engineering?

The people most at risk are the least likely to be included in the so-called transformation.

That’s not opportunity it’s abandonment.

And it won’t stop with “low-skill jobs.” AI is not just eating at the edges; it is climbing the ladder into law, medicine, and finance. Even pilots and doctors, once unthinkably secure, are finding aspects of their work simulated or automated.

This is not merely disruption it is rewiring the social contract of work itself.

And Big Tech is just, in my view, trying to secure their place and profits.

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Part II: Who Gets to Benefit, Who Gets Left Behind

In every boardroom I’ve sat in, I’ve seen the same story unfold: the benefits of technology flow upward. The savings, the productivity gains, the efficiency they rarely trickle down.

Who benefits from AI?

• The elite universities producing the next wave of AI researchers.

• Corporations with oceans of data and computing power.

• Governments of wealthy nations racing to lock in AI infrastructure.

Who doesn’t?

• The millions of teachers, drivers, clerical staff, and service workers staring at displacement.

• The global South, where most workers lack broadband, capital, or mobility to join the “AI future.”

• The ordinary citizens repeatedly told to “adapt” while juggling rent, childcare, and rising costs of living.

And still those that advocate you either adapt or be gone. Sounds smart…but wait this happens to you in a near future…

Retraining is often presented as the silver bullet. I’ve coached professionals through these so-called “upskilling initiatives.”

Do you know what I’ve seen?

Overworked employees completing online modules at midnight after putting their kids to bed. People paying out of pocket for certifications because their companies only support “high potential” staff. Workers proudly finishing programs only to discover the “new” jobs are lower-paid, less stable.

Retraining is not just about skills.

It’s about time, access, literacy, networks, confidence, and support. Not to talk about new laws and rights.

And right now, the burden falls squarely on individuals never the corporations profiting most from their displacement.

But there’s an even darker truth missing from this picture, the hidden underclass that already supports AI’s rise. The “ghost workers” contracted data annotators in Kenya, the Philippines, and Venezuela earning $2 an hour labeling the datasets that power chatbots, often exposed to traumatic material. These workers are invisible in glossy AI launch events, yet without them, there is no AI revolution.

The next generation deserves to know this story too, AI runs on human exploitation hidden in plain sight.

Progress without inclusion is not progress. It’s abandonment in disguise.

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Part III: What This Says About Our Generation

Here’s the uncomfortable part: the problem isn’t AI. The problem is us.

Or a few of us that due to convenience, most of us accept things as they are.

Technology does not dictate ethics. We do.

I’ve watched tech leaders celebrate being “first to market” while barely considering long-term consequences. I’ve seen governments compete for AI investment, ignoring human cost. I’ve sat in leadership meetings where every decision boiled down to: Will this raise the share price?

Our actions reveal the values of this generation:

• Speed over foresight.

• Convenience over community.

• Profit over people.

• Competition over cooperation.

And now, we’re applying those values to a technology with the capacity to reshape civilization.

We are witnessing trillion dollar companies and individuals reaching such values, it feels immoral.

No wonder young people increasingly feel disenfranchised they see a generation accelerating tools without balancing responsibility.

Future generations won’t just ask what tools we built; they will ask how recklessly we used them.

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Part IV: The Wider Costs of Neglect

The fallout isn’t just lost jobs or declining wages it’s a comprehensive unravelling of social trust.

1. Economic Division: If wealth concentrates further in the top 10%, society hollows into a polarized structure: the secure few and the insecure many. History shows this breeds tension and instability.

2. Mental Health Crisis: Work provides more than income. It brings identity, belonging, dignity. Strip that away, and people spiral. Already, loneliness, anxiety, and suicide rates climb in over-automated, under-supported economies.

3. Hidden Social Costs: When millions are displaced simultaneously, costs show up not just in welfare budgets but in health care, crime rates, civic disengagement. A society without stability becomes fragile.

4. Political Exploitation: Angry, fearful populations are fertile ground for extremism. We’ve seen demagogues rise on the backs of displaced workers before, using despair as a weapon.

This isn’t abstract.

It’s lived reality unfolding right now from the protests of delivery workers against AI algorithms deciding wages, to the unionization waves in Hollywood after generative AI encroached on scriptwriting and voice work.

Ignoring this is not just negligence it’s a national security risk, for every country.

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Part V: The Ecological Blind Spot

There’s a dimension often missing in this discussion: AI’s environmental impact.

Training a single frontier model requires enormous computational resources sometimes the equivalent of powering thousands of homes for a year.

Data centers devour electricity and water for cooling. In already climate-stressed regions, this demand worsens scarcity.

And yet, instead of prioritizing sustainable AI development, we’ve normalized a cycle of bigger, faster, more energy-intensive models because market competition demands it.

What does this say to the next generation?

That even as we warn them about climate collapse, we simultaneously endorse technologies consuming resources at unsustainable scales.

It is hypocrisy they will not forgive.

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Part VI: The Geopolitical Inequality Dimension

AI isn’t just a tool for individuals; it’s a new arena of power for nations.

Wealthy states are stockpiling compute and talent while lower-income countries are left behind, reinforcing 20th-century colonial patterns in a digital age.

Some call it “AI colonialism.” Data is extracted from the global South (through mining, content scraping, or annotation labor), value is captured in the North, and inequality deepens.

What kind of future do we hand over if geopolitics of AI only widen the gap between “AI powers” and everyone else? For many nations, this means permanent dependency not sovereignty.

For the people in them, it means generational disadvantage hard to reverse.

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Part VII: The Future We Are Dictating

So, if we continue as we are, what will our children inherit?

• A two-tier world where opportunity and wealth cluster in AI metropolises, while billions are excluded.

• An education gap in which the privileged adapt to automation and everyone else works endless insecure roles.

• Distrust in government and institutions incapable of keeping pace, fueling cynicism.

• A culture of precarity where instability isn’t seen as failure of policy but as “the way life is.”

This is not dystopian fiction. It is our trajectory. And once normalized, precarity hardens into culture and culture is the hardest to undo.

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Part VIII: Could It Be Different?

I don’t write this because I am cynical. I write it because I have also seen systems change when courage, not convenience, drives them.

It is possible to use AI differently, but only if we:

1. Fund Inclusive Retraining: Not symbolic MOOCs but real community-rooted programs financed by both public money and corporate contributions (especially from firms profiting most).

2. Rebuild Education: Shift from rote memorization to creativity, problem-solving, ethical reasoning, adaptability. The ability to learn new skills quickly will define survival.

3. Design Social Safety Nets for a Post-Job World: Wage insurance, portable benefits, reduced working hours, and universal basic or conditional income experiments must be explored openly.

4. Regulate Corporate Accountability: Job-displacing companies must reinvest in the communities they hollow out. Tech dividends shouldn’t vanish offshore while local economies collapse.

5. Global Solidarity: Averting AI colonialism means building international agreements where gains are shared and infrastructure investments extend to under-resourced regions.

6. Sustainable AI: Build efficiency standards, require environmental transparency, and regulate energy/water use tied to large-scale model training.

None of this is charity. This is survival.

Without such guardrails, today’s acceleration is tomorrow’s collapse.

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Part IX: A Mirror Held to Ourselves

I often ask leaders I coach: What story will people tell about you?
Now I ask it of all of us.

• Will the next generation say we harnessed AI to elevate human potential or sharpen inequality?

• Will they say we prepared people or abandoned them?

• Will they say we acted with foresight or moved recklessly toward profit?

• Will they say we extended solidarity or erected new hierarchies global in scale?

History doesn’t remember the speed of deployment. It remembers whether human dignity survived the transition.

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Part X: History’s Lessons and the Shadow Returning

Every generation leaves behind more than technology and institutions it leaves a story.

Stories of triumph, tragedy, and warnings hardened in memory.

Past generations endured wars, colonialism, ideological extremes, and mass social upheaval. They etched lessons in history meant to guide us, to caution us against repeating the same dark chapters.

Yet here we are, in 2025, witnessing a familiar shadow looming once more: the rise of far-right movements and fascist tendencies fueled by narcissistic, egoistic, and ruthless leaders. They promise order and control, not as a stabilizing force, but as a weapon a cold menu served to societies hungry for security but vulnerable to manipulation.

These forces exploit despair caused by economic displacement, cultural anxieties, and fractured social bonds conditions that many hoped technology and progress would alleviate. Instead, they amplify tribalism and division, offering simplistic answers to complex problems.

Our predecessors left us a warning wrapped in history’s scars: unchecked inequality, disenfranchisement, and fear breed extremism. Now, it is our generation’s burden to listen.

We must confront these tendencies not with complacency or denial but with resolve, building inclusive societies resilient to the allure of authoritarian control.

The future we dictate depends not only on the technologies we develop but the politics and values we choose to embody.

Will this generation repeat the silence and inaction of the past, or will it rise to reclaim the legacy of justice, freedom, and shared humanity that history demands?

Part XI: AI as a Blessing in Disguise, The Promise of True Individual Empowerment

Not all is doom and gloom in the story of AI. While the current landscape is dominated by large tech corporations, scrambling to secure their place and profits, I believe there is a transformative possibility on the horizon: a future where AI truly empowers individuals and small groups, outside the grip of Big Tech.

Imagine a day when someone can run an AI agent locally on their own devices or private networks with the same or even greater capabilities than today’s massive, centralized models. A personal AI partner, fully under individual control, no strings attached, that can assist with creativity, problem-solving, lifelong learning, and meaningful automation.

This vision is not just fantasy. The ongoing advances in AI agents smaller, more efficient models running at the “edge” without reliance on large data centers are already making this plausible. These AI agents are becoming powerful collaborators, able to operate autonomously, reason contextually, and continuously improve while respecting privacy and user sovereignty.

This possibility explains the intense scramble among Big Tech companies today. They understand well that decentralized, individually controlled AI could fundamentally rebalance power and economics away from centralized platforms and gatekeepers.

Moreover, there are positive use cases where AI is already improving health outcomes, enhancing education quality, enabling sustainable energy management, and fostering greater equity but these successes hinge on intentional design, ethical governance, and equitable access, not blind faith in tech inevitability.

The future of AI as a blessing depends on our choices to build inclusive systems that respect human dignity, privacy, and shared prosperity harnessing AI’s potential to uplift rather than divide.

Technology can be an unparalleled partner to human potential, but only if the next chapter is written with courage, foresight, and commitment to collective well-being.

Conclusion: Writing the Next Chapter

I know how seductive the narrative of “inevitable progress” is. Especially from a few that will benefit from it.

I’ve lived inside it. But nothing about this is inevitable.

Progress is not a force of nature it is a set of choices.

This generation has more foresight and tools than any that came before. We already see the wave breaking. If we fail to protect, to prepare, to share, it won’t be because we couldn’t it will be because we wouldn’t.

Every day of deferral writes the future in ink harder to erase.

The mirror is in front of us: this is who we are.

The only question left is who do we want to be?

And if we let a few dictate who we are, just because we’re told to move fast into an unknown future, that’s nothing more than a cattle technique keeping us from seeing what’s really going on.

You’re either heading to the slaughter, or helping in the slaughter process.

It’s time to look at things differently.

Author Notes

When working with AI tools, it’s tempting to focus solely on mastering the latest platforms or interfaces the specific “buttons” and “features” that let you get things done. However, this approach is like learning to play a single piece of music on one instrument without ever learning music theory.

You might play the notes, but your understanding remains limited to that one context.

Just as a musician benefits enormously from knowing music theory the underlying principles of harmony, rhythm, and composition anyone working with AI benefits from a deeper grasp of AI concepts, models, capabilities, and limitations.

• This foundational knowledge allows you to understand why AI behaves a certain way, how different AI systems might approach tasks, and where their power and risks lie.

With this deeper understanding, you gain the flexibility to pivot between tools, to adapt skills as technology evolves, and to innovate beyond prescribed workflows.

• You become less dependent on a single platform and more capable of creatively and critically leveraging AI in diverse situations.

In essence, learning AI theory alongside tool usage is like learning music theory alongside playing an instrument: it transforms a one-dimensional ability into a rich, transferable skill set that empowers lifelong creativity, adaptation, and mastery.

Practice the above and you won’t the victim of vendor-locking or loosing your critical thinking.

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About the Author
Tino Almeida is a tech leader, coach, and writer reshaping how we think about leadership in a burnout-driven world. With over 20 years at the intersection of engineering, DevOps, and team culture, he helps humans lead consciously from the inside out. When he’s not challenging outdated norms, he’s plotting how to make work more human—one verb at a time.