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World Economic Forum 2026 Kicks Off in Davos — and Donald Trump Leads Record U.S. Delegation

Davos, Switzerland — January 19, 2026
The annual World Economic Forum (WEF) gathering in the Swiss Alps begins this Monday under the theme “A Spirit of Dialogue.” Leaders from governments, business, civil society and science will convene through January 23 to confront what organizers call the most pressing global challenges of our time: geopolitical instability, economic fragmentation, technological disruption and climate change.

This year’s meeting is poised to be one of the most unpredictable yet — largely because U.S. President Donald Trump is attending in person and will lead the largest-ever American delegation to Davos.

Trump Returns to Davos with a Big Team

Trump’s presence is notable not only for its scale but also for its political symbolism. His administration will be accompanied by several Cabinet members and senior officials — including the Secretary of State, Treasury Secretary, Commerce Secretary, trade representatives, and top White House aides — marking a record-size U.S. contingent.

Last time Trump engaged with the forum, his participation was virtual and aired amid controversy. This year’s in-person return is expected to attract rock-star style attention and intense scrutiny from global leaders, the media and activists.

A “Spirit of Dialogue” Amid Global Tensions

The forum’s theme emphasizes cooperation and conversation in a world marked by deepening geopolitical fault lines. Amid economic competition, rising tariffs and shifting alliances, WEF organizers are pushing dialogue as essential for progress.

But Trump’s trademark slogan, “America First,” poses a direct challenge to the forum’s ethos of multilateral cooperation. Allies and competitors alike will be watching to see how — and if — Trump’s policies can align with broader global ambitions for cooperation, especially on trade, security and technology.

Key Issues on the Agenda

While WEF is traditionally focused on economic strategy and global collaboration, this year’s agenda is exceptionally crowded:

  • Geopolitical and security challenges: Ukraine remains a central topic, with talks planned involving U.S. officials and Ukrainian representatives about peace frameworks and reconstruction support.
  • Economic fragmentation: A recent WEF risk survey found that economic confrontation — including tariffs and trade tensions — has overtaken armed conflict as a top risk to global stability.
  • Artificial Intelligence: Discussions about how to govern and deploy AI responsibly are expected to be key, with tech leaders from companies such as Microsoft and Nvidia attending.
  • Business and innovation: With roughly 3,000 participants and about 850 CEOs from top global companies, business and investment outlooks will be central to many discussions.

Trump’s Global Footprint Heading into Davos

Trump’s foreign policy moves over the past year — from threats of tariffs over Greenland to confrontations with Iran and Venezuela — have reshaped parts of the international agenda. European leaders are preparing for high-stakes talks with the U.S., including possible retaliatory measures tied to trade tensions that are already threatening transatlantic unity.

Although climate and “woke” cultural topics were reportedly de-emphasized in programming after negotiations with U.S. officials, the core business of the forum — economic cooperation and innovation — remains indispensable.

A Pivotal Moment for Global Order

This year’s Davos is widely perceived as a test of whether global leaders can adapt the old world order to 21st-century challenges — or whether a fundamentally new framework for cooperation will emerge. With Trump’s America firmly in the spotlight and AI and economic confrontation rising as cross-cutting issues, the balance between national interests and collective global action will be under intense scrutiny.

As the world’s eyes turn to the Swiss Alps, the question is no longer whether dialogue will take place — but whether it can translate into real solutions.

Disclaimer: The views expressed in this article are those of the author and may not reflect those of Shinybull.com. The author has made every effort to ensure the accuracy of the information provided; however, neither Shinybull.com nor the author can guarantee the accuracy of this information. This article is strictly for informational purposes only. It is not a solicitation to make any exchange in precious metal products, commodities, securities, or other financial instruments. Shinybull.com and the author of this article do not accept culpability for losses and/ or damages arising from the use of this publication.

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Will AI Destroy Capitalism? What Marx Predicted, and Why It Feels Relevant Today

Artificial intelligence is advancing so fast that some economists, technologists, and futurists believe we are heading toward a historic breaking point. Predictions range from 300 million jobs being automated to AI systems replacing everything from lawyers and teachers to software developers and journalists.

This raises a fundamental question:

If AI takes over most labor, where will people get money from, and can capitalism survive?

Interestingly, this debate echoes ideas written more than 150 years ago by Karl Marx, who warned that capitalism might ultimately be undermined by its own technological progress. Today, his predictions are being pulled back into the spotlight.

This article breaks down what Marx said, what AI is doing, and what the future of labor, and money, might look like.

1. What Marx Actually Predicted

Karl Marx believed capitalism had a built-in conflict:
the drive to replace human workers with machines.

He argued two key points:

A) The “Tendency of the Rate of Profit to Fall”

Marx said that profit comes from human labor.
But capitalists constantly try to replace human labor with machines because machines:

  • don’t get tired
  • don’t strike
  • don’t demand wages or rights

The more companies automate, the fewer workers they need.

But the paradox is:

If you replace too many workers, you remove the source of profit — human labor.

This, Marx believed, would eventually destabilize capitalism from within.

B) Automation makes workers “superfluous”

Marx predicted a future where technology becomes so advanced that:

  • masses of workers become unnecessary
  • unemployment grows
  • inequality rises
  • social tensions explode

For most of history, this sounded theoretical.
Today, with AI able to perform cognitive work, Marx suddenly feels more contemporary than ever.

2. The AI Shock: Why This Time Is Different

In the past, automation replaced muscle:

  • factory robots
  • tractors
  • machinery

Those technologies eliminated many physical jobs but created others.

AI replaces the brain:

  • analysts
  • accountants
  • teachers
  • programmers
  • designers
  • writers
  • marketers
  • customer support
  • even medical diagnosis

White-collar workers, once considered “safe”, are now at risk.

Reports from groups like Goldman Sachs estimate that 300–800 million jobs worldwide could be automated in the coming years.

For capitalism, this is enormous.
Capitalism is built on two pillars:

  1. Labor → creates value
  2. Wages → let people buy things

If AI replaces too much labor, wages disappear, and the system loses its customers.

This is what worries economists.

3. The Core Economic Problem: No Jobs = No Money = No Capitalism

Here’s the simple logic:

  • Companies automate work → fewer workers
  • Fewer workers → less income
  • Less income → less spending
  • Less spending → companies lose customers
  • Companies lose customers → profits fall
  • Profits fall → economic system breaks

Capitalism needs consumers.
Consumers need wages.
Wages come from labor.
Labor is disappearing.

This is the exact contradiction Marx warned about.

4. What Happens to Society if AI Wipes Out Jobs?

Three major scenarios are being discussed in global economic circles:

A) Capitalism survives but transforms

Governments introduce:

  • Universal Basic Income (UBI)
  • AI and robot taxes
  • redistribution policies
  • national “AI wealth funds”
  • profit-sharing models

This keeps consumers alive even without traditional jobs.

B) Extreme inequality + political instability

If nothing is done:

  • wealth concentrates into a few tech giants
  • middle class collapses
  • consumer markets shrink
  • social unrest rises
  • governments face pressure for reform or revolution

This is the scenario many analysts fear.

C) A transition to “post-capitalism”

This idea doesn’t mean communism. Instead, it means a system where:

  • machines produce most wealth
  • humans work less or not at all
  • value is redistributed through society
  • the wage-labor system becomes obsolete

Some predict a peaceful shift.
Others see a turbulent transition.

5. Will New Jobs Replace the Old Ones?

Historically, technological revolutions created more jobs than they destroyed.

But AI is different for three reasons:

  1. It automates thinking, not just physical effort
  2. New jobs may require skills most people don’t have
  3. AI learns faster than humans can retrain

For the first time, technology is competing with humans in creativity, reasoning, and decision-making.

This makes the future less predictable than any previous industrial revolution.

6. Will AI Destroy Capitalism?

There are three main schools of thought:

1) AI will reshape capitalism, not kill it

The system adapts by creating safety nets like UBI, or by shifting focus to new industries.

2) AI will create “hyper-capitalism”

A handful of mega-corporations control all the AI models and extract enormous profits, leading to an extreme concentration of power.

3) AI will push us beyond capitalism

If machines produce nearly all value, the traditional logic of:

work → wages → consumption

falls apart.

In that case, capitalism as we know it would need to evolve or be replaced.

7. The Short Answer

If AI eliminates hundreds of millions of jobs and nothing is done, capitalism collapses because consumers vanish.

If governments and companies adapt, we enter a new economic era. Perhaps capitalism 2.0.

Marx didn’t predict AI, but he did predict the danger of a system that depends on labor while simultaneously trying to eliminate it. That contradiction is now the central question of the coming decade.

In the end, nobody truly knows where this collision between AI, labor, and capitalism will lead. Some predict unprecedented prosperity, others foresee economic collapse, and many warn that the transition itself may be chaotic.

Even politicians in several countries have started telling people to “buckle up,” hinting that families should keep basic supplies like food and water on hand. Not because disaster is guaranteed, but because the pace of disruption is now faster than society’s ability to adapt.

One thing is sure: we are crossing a threshold into unknown territory, where the old rules may no longer apply. The question is not whether change is coming, but how prepared we are for the world on the other side.

Disclaimer: The views expressed in this article are those of the author and may not reflect those of Shinybull.com. The author has made every effort to ensure the accuracy of the information provided; however, neither Shinybull.com nor the author can guarantee the accuracy of this information. This article is strictly for informational purposes only. It is not a solicitation to make any exchange in precious metal products, commodities, securities, or other financial instruments. Shinybull.com and the author of this article do not accept culpability for losses and/ or damages arising from the use of this publication.

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Jobs Will Become “Optional”

When Elon Musk took the stage at the U.S.–Saudi Arabia Investment Forum, he delivered one of his boldest predictions yet:
In 10 to 20 years, having a job may no longer be necessary. It may simply be a choice.

This statement didn’t come out of nowhere. It reflects Musk’s long-standing view that rapid progress in artificial intelligence and humanoid robotics, especially projects like Tesla’s Optimus robot, will fundamentally transform the global job market.

But what does “optional work” actually mean? What happens to CEOs, creativity, money, and everyday life in such a world?


Let’s break it all down.

What Exactly Did Elon Musk Say?

At the forum, Musk explained that technological progress will push society into an era where:

  • Most jobs are automated
  • Human labor is no longer required for economic survival
  • People will work only if they want to, not because they must.

He said that future “jobs” might feel more like hobbies, similar to playing a sport or a video game.

He also suggested that money itself could become less relevant:

“Money will stop being significant. The real constraints will be physical resources like energy and mass.”

Musk compared future work to gardening:
You can grow vegetables yourself, even though it’s easier to buy them at a store. You do it because you enjoy it, not because you must.
That’s his vision for the job market. A world where work is done for passion, not necessity.

A World Where Work Is Optional: What Would That Look Like?

If Musk is right, then the next two decades could reshape society in five significant ways:

1. Automation Takes Over Routine Work

Humanoid robots and advanced AI systems will be capable of doing nearly all physical and cognitive labor.
Everything from manufacturing to accounting to logistics could be automated.

2. Creativity Becomes the New Currency

When machines handle all basic tasks, the only irreplaceable human skill will be imagination.
Art, innovation, design, storytelling, and leadership will matter more than ever.

3. New Purpose Beyond Employment

If people no longer need to work for survival, society must redefine purpose, identity, and meaning.
Work will become a hobby, a passion project, or a personal mission.

4. The CEO Role Will Transform

Future CEOs may lead companies where the entire workforce is digital or robotic.
Their role shifts from:

  • personnel management
    to
  • vision-setting, ethics, coordination, and long-term strategy.

CEOs become more like chief philosophers and architects of systems than traditional managers.

5. Economic Models Must Evolve

If work becomes optional, new systems must support human welfare:

  • universal basic income
  • shared ownership of AI systems
  • new forms of value distribution
  • new definitions of wealth

This brings us to Musk’s most controversial idea:
A future where money itself becomes less meaningful.

Musk’s Claim: Money Could Become “Irrelevant”

This may sound like science fiction, but Musk is pointing toward a post-scarcity economic model:

  • AI and robotics produce unlimited goods and services
  • Energy becomes cheap due to breakthroughs in solar, batteries, and possibly fusion
  • Productivity skyrockets far beyond what human labor can achieve
  • The cost of producing essentials approaches zero

In that world, your livelihood isn’t tied to your paycheck.
Wealth isn’t about dollars. It’s about access to resources and control over energy, materials, and computing power.

Musk referenced Iain M. Banks’ Culture novels as inspiration:
a society where scarcity is gone, AI handles most functions, and humans focus on exploration, creativity, and self-development.

Will This Actually Happen?

Experts disagree. Some believe Musk’s timeline (10–20 years) is too optimistic.
Others argue that AI progress is moving faster than expected, and he may even be conservative.

What’s clear is this:

  • Jobs will change
  • Many roles will disappear
  • New creative and emotional roles will emerge
  • The global economic structure will need deep reform
  • The concept of the “CEO” will adapt dramatically

Whether Musk’s vision becomes reality or remains a theoretical future, the direction is unmistakable:
AI will reshape human work more than any technology in history.

Disclaimer: The views expressed in this article are those of the author and may not reflect those of Shinybull.com. The author has made every effort to ensure the accuracy of the information provided; however, neither Shinybull.com nor the author can guarantee the accuracy of this information. This article is strictly for informational purposes only. It is not a solicitation to make any exchange in precious metal products, commodities, securities, or other financial instruments. Shinybull.com and the author of this article do not accept culpability for losses and/ or damages arising from the use of this publication.

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Are Humans Still Fit to Govern Themselves?

The Case for AI and the Future of Governance

“For centuries, humans have tried to build fair systems, and failed repeatedly.”

The Human Struggle with Complexity

History shows that people have always struggled to manage complex systems. In ancient Rome, Caesar’s rise exposed deep divisions in society and the limits of human judgment. In 1848, France, King Louis Philippe I faced a population burdened by taxes and inequality, a system too rigid and tangled for leaders to reform.

Today, millions face similar struggles: cost-of-living crises, housing shortages, and economic instability. The pattern is clear; the system often overwhelms human capacity.

Partisanship, emotion, and limited attention make it nearly impossible for humans alone to optimize society’s resources fairly and efficiently.

“If history teaches us anything, it’s that no human institution, however well-intentioned, can keep up with the complexity of modern life.”

Enter AI: A New Kind of Leadership

Maybe the solution isn’t left, right, or even one-party systems. Maybe the solution is AI.

Thousands of human beings, with all their emotions, biases, and limited perspectives, can’t compete with a system that can analyze all available information simultaneously. Just look at chess or Go. AI doesn’t just play well; it plays beyond the limits of human imagination.

Take a simple real-world example: an elderly woman paying more for her apartment than she receives in pension. Who is to blame? No single person. It’s the system. This isn’t a moral failure; it’s mathematical.

AI doesn’t suffer from those human limits. It can process enormous amounts of data, detect patterns, optimize allocations, and predict problems before they occur.

“Maybe the next stage of democracy isn’t about choosing leaders. It’s about choosing the algorithms that lead us.”

A Vision of AI-Guided Society

Imagine a world where decisions about economics, healthcare, infrastructure, or the cost of living are guided by AI. No feelings, no personal interests, no corporate agendas, no short-term political games.

Decisions would be based purely on data, evidence, and long-term outcomes, optimizing for the well-being of everyone rather than the loudest voices or the wealthiest lobbyists.

Humans would still define the ethical framework. AI can calculate the best moves, but society must decide what “good” means: fairness, sustainability, equality, or prosperity.

“Compared to the endless bickering and short-term thinking of politics, AI could be the most rational and forward-looking leader humanity has ever known.”

Balancing Hope and Caution

AI governance isn’t without risks; bias in data, lack of transparency, and accountability must be addressed. But unlike human flaws, these can be debugged. Systems can be retrained, improved, and held to measurable standards of performance.

The question, then, is no longer about political parties or ideologies. The real question is:
Are we ready to let reason, not emotion, guide the future?

Author’s Note

As technology continues to evolve, the debate over AI in governance is no longer a matter of science fiction. It’s a question of readiness, trust, and design. Whether we like it or not, the age of algorithmic leadership is approaching. The choice before us isn’t if AI will play a role in decision-making, but how we’ll ensure it serves humanity, not replaces it.

Disclaimer: The views expressed in this article are those of the author and may not reflect those of Shinybull.com. The author has made every effort to ensure the accuracy of the information provided; however, neither Shinybull.com nor the author can guarantee the accuracy of this information. This article is strictly for informational purposes only. It is not a solicitation to make any exchange in precious metal products, commodities, securities, or other financial instruments. Shinybull.com and the author of this article do not accept culpability for losses and/ or damages arising from the use of this publication.

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The market for alternative proteins could hit $140 billion by 2029

McDonald`s Corporations is expected to report earnings on Tuesday 22 before market open, and the reported EPS forecast for the fiscal Quarter ending September 2019 is $2,21 which is up from last years $2,1 for the same quarter.

So far this year, the stock is up 17% and that is 2% lower than the S&P 500. Nor is it as good as its restaurant peers. Earnings is expected to be $2,21 a share on revenue of $5,48 billion. Previous quarter, they had an earnings of $2,05 a share and revenue of $5,34 billion.

Analysts have praised McDonald`s use of technology and their investments in AI, but also its experience of the Future restaurant remodeling.

Earlier this summer, McDonald`s partnered with Doordash to expand new sales in the direct delivery market. A direct attack on Uber Technologies’ Uber Eats.

McDonald`s is the largest food restaurant in the world and their move to adopt plant-based protein patties for Beyond Meat can give McDonald`s a boost. This is a pilot project and it doesn`t mean that fast food chains will stick to keeping plant based products on the menu.

Beyond Meat is a huge success and partnered with McDonald`s across 28 locations in Canada, but at the same time the company`s burgers were pulled from locations in another big regional Canadian fast food chain called Tim Hortons.

The demand for alternative proteins continues to skyrocket and analysts expect that the plant based products will take a huge bite of the traditional meat industry over the next decade. Barclays believe the market for alternative proteins could hit $140 billion by 2029.

Disclaimer: The views expressed in this article are those of the author and may not reflect those of Shiny bull. The author has made every effort to ensure accuracy of information provided; however, neither Shiny bull nor the author can guarantee such accuracy. This article is strictly for informational purposes only. It is not a solicitation to make any exchange in precious metal products, commodities, securities or other financial instruments. Shiny bull and the author of this article do not accept culpability for losses and/ or damages arising from the use of this publication.

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