Craving the Struggle: Why Our Souls Demand Proof of Work in the AI Age

We live in a time when so much is given to us freely. Every thought can be answered with a query, every desire met with a click. The great machines of artificial intelligence anticipate our needs before we even articulate them. The era of frictionless existence is upon us. And yet, beneath the ease and abundance, a quiet emptiness lingers. The soul, it seems, still demands proof of work.

The concept of proof of work, borrowed from cryptography and blockchain, is a mechanism of validation through effort. It ensures that what is gained has been properly earned. Without it, there is no inherent value—only the illusion of worth. And while it has been used primarily in the digital realm, the idea resonates far beyond finance or computing. It touches something primal within us: the belief that struggle imbues meaning.

Throughout human history, suffering and effort have shaped our narratives. The hero earns glory through trials, the student gains wisdom through rigorous study, the lover proves devotion through patience and hardship. This is the fabric of our myths and lived experiences. The long walk home after a night spent with a dear friend. The quiet endurance of an artist refining their craft. The arduous journey of self-discovery. These are acts of proof, solidifying our presence in the world.

But today, artificial intelligence dissolves these old structures. It offers instant knowledge without study, artistic creation without skill, companionship without depth. We no longer need to experience the slow burn of becoming; we can simply summon results. In doing so, we risk severing our connection to the struggle that once defined us. What happens when effort is no longer required? When every mountain is flattened, every hardship automated away?

It is seductive to think that comfort is the pinnacle of progress. Yet we find, paradoxically, that the more seamless our lives become, the more dissatisfied we feel. We crave the hunger that makes food taste rich, the longing that makes love feel true. AI can synthesize beauty, but can it make us yearn? It can simulate challenge, but can it instill pride? It can tell us who we are, but can it help us become?

Perhaps, then, the antidote is deliberate resistance—a conscious refusal to surrender our proof of work. We must choose to struggle where we could coast, to create where we could consume, to embrace friction where we could seek ease. This is not a rejection of technology but an insistence on soul. To remain human, we must insist on effort. In doing so, we preserve the hunger, the striving, the proof that we have lived.

The Rise of Agentic Workflows: A Smarter Approach to AI

The Evolution of AI: From Agents to Agentic Workflows

For years, the AI community has been obsessed with building autonomous AI agents — systems designed to perform tasks independently, making decisions without human intervention. However, the conversation has shifted. The focus is now on “agentic workflows,” a paradigm that integrates AI systems into structured, adaptable processes where humans and AI collaborate dynamically.

What Are Agentic Workflows?

Agentic workflows refer to AI-driven processes designed to be:

  1. Adaptive — Able to adjust based on new information.
  2. Interoperable — Seamlessly integrating with other AI models, software tools, and human input.
  3. Goal-Oriented — Working towards a specific objective rather than just executing predefined commands.
  4. Iterative — Continuously improving through feedback loops.

Unlike isolated AI agents that attempt to replace human involvement entirely, agentic workflows optimize how AI and humans interact, ensuring that decision-making remains efficient, transparent, and adaptable.

Key Drivers of the Shift

1. AI’s Struggles with Autonomy

AI agents, while powerful, often struggle with real-world unpredictability. Fully autonomous systems encounter problems with edge cases, ethical dilemmas, and unforeseen disruptions. Agentic workflows address this by embedding AI into structured processes where human oversight plays a key role.

2. Scalability & Business Adoption

Enterprise AI adoption has revealed that businesses prefer solutions that enhance existing workflows rather than replacing human expertise entirely. Agentic workflows provide a scalable approach, ensuring that AI augments decision-making rather than operating in isolation.

3. Regulatory & Ethical Challenges

Governments and regulatory bodies are increasingly scrutinizing autonomous AI decision-making. Agentic workflows help mitigate risks by maintaining human-in-the-loop systems, ensuring compliance, accountability, and ethical considerations.

4. Multimodal AI Capabilities

Modern AI models, such as OpenAI’s GPT-4 and Google DeepMind’s Gemini, have become multimodal — able to process text, images, audio, and even video simultaneously. This has fueled the rise of agentic workflows, where multiple AI models collaborate on tasks, enhancing efficiency without full autonomy.

The Future: AI as a Partner, Not a Replacement

As AI development continues to accelerate, the focus will likely remain on refining agentic workflows rather than creating fully autonomous agents. The future of AI is not about replacing human intelligence but enhancing and scaling human capabilities through structured, AI-powered workflows.

By 2026, AI’s role in society will be deeply intertwined with human decision-making, ensuring that we leverage its power responsibly while maintaining control over critical processes. The numbers don’t lie — AI is evolving rapidly, and we must be prepared to adapt.

The AI landscape is shifting, and those who embrace agentic workflows will be best positioned for success. The transition from standalone AI agents to collaborative, workflow-driven AI will define the next wave of technological evolution.

Stay ahead of the curve — understand, adapt, and integrate AI strategically.

Metaverse Unleashed: 6 Industries Embracing New Opportunities and Experiences

The metaverse is indeed reshaping customer and employee experiences across various industries. Gartner’s projection of 30% of companies having meta-ready products and services by 2026 highlights the growing momentum in this area. The convergence of technologies like AR, VR, and AI is driving transformative changes, simplifying business processes, enhancing decision-making, and revolutionizing customer interactions.

The metaverse allows companies to create immersive virtual experiences that go beyond traditional boundaries. Customers can now engage with products and services in virtual environments, opening up new avenues for customization, personalization, and exploration. From virtual shopping experiences and interactive gaming worlds to virtual classrooms and training simulations, the metaverse is redefining how we learn, work, and play.

While discussions on the social and legal implications of the metaverse are ongoing, its potential to turn virtual experiences into tangible products and create new business opportunities is undeniable. The metaverse offers a glimpse into a future where digital interactions blend seamlessly with our physical world, unlocking novel ways to connect, collaborate, and innovate.

As companies continue to embrace the metaverse, we can anticipate further advancements and exciting developments that will shape the future of industries and the way we experience products and services.

Here we explore six key industries:

  1. Gaming and Entertainment: The metaverse provides immersive gaming experiences, virtual reality (VR) worlds, and interactive social platforms, creating new avenues for game developers, content creators, and virtual events.
  2. Fashion and Retail: The metaverse offers virtual fashion experiences, digital clothing marketplaces, and virtual try-on technologies, allowing brands to engage with customers in innovative ways and explore virtual commerce.
  3. Education and Training: The metaverse enables virtual classrooms, interactive simulations, and virtual training programs, enhancing remote learning, professional development, and immersive skill-building experiences.
  4. Real Estate and Architecture: The metaverse allows for virtual property tours, architectural visualization, and collaborative design spaces, transforming the way properties are showcased, designed, and sold.
  5. Healthcare and Telemedicine: In the metaverse, virtual healthcare consultations, medical training simulations, and telemedicine services can provide access to remote healthcare, training, and patient experiences.
  6. Advertising and Marketing: The metaverse introduces new advertising formats, immersive brand experiences, and interactive product placements, creating unique opportunities for marketers to engage with audiences in virtual environments.

These industries are just a glimpse of the wide-ranging impact the metaverse can have. As the concept of the metaverse evolves, more industries are likely to explore and capitalize on the opportunities it presents.

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AI and information crime

Artificial Intelligence (AI) is moving at speed into the mainstream. Almost every day we are learning about new uses for it, and discovering the ways in which it is already a part of our daily lives. Just this week medical researchers have revealed that the use of AI in testing for breast cancer is more effective than the work of expert radiologists. As one doctor interviewed said, this use of AI frees up radiologists to do other important work. And that’s a great benefit, as it takes roughly 10 years to train in radiology.

On the other hand, people are concerned that AI may take over almost every area of our lives, from self-driving cars to fighting wars. And it may do our laundry as well. Basically it comes down to this — will AI replace humans? That’s the great fear, but one which is largely exaggerated. As Kathleen Walch writes: “However, it’s becoming increasingly clear that AI is not a job killer, but rather, a job category killer.” I have also written about this aspect of AI before, pointing to the fact that “jobs are not destroyed, but rather employment shifts from one place to another and entirely new categories of employment are created.”

Indeed, as Walch says, “companies will be freed up to put their human resources to much better, higher value tasks instead of taking orders, fielding simple customer service requests or complaints, or data entry related tasks.” What businesses must do is have honest conversations with their employees about the use of AI and show how it can allow humans to be more creative by giving the dull, routine tasks to AI.

The one area where AI is causing us issue is in the generation of fake news in a range of formats. It is already almost impossible to tell if an image is real or AI-generated, or if you’re talking to a bot or a real person? AI-generated ‘disinformation’ is not necessarily generated by criminals: as we all now know, State actors are perhaps the worst offenders, and we have plenty of example to look at coming from Russia, the USA and the UK. Lies are fed to the citizens using social media accounts that appear to be reputable government sources, and the social media companies collude with these sources, as Facebook has shown us. Walch says, “Now all it takes is a few malicious actors spreading false claims to traumatically alter public opinion and quickly shift the public’s view.” Brexit and the election of Trump are good examples of this in play.

And it is in this area that we must consider the ethics of using AI most closely right now. As Walch says, “Governments and corporations alike will have to think about how they will reign in the potential damage done by AI-enabled content creation,” and she adds, “we must encourage companies and governments to consider fake content to be as malicious as cybersecurity threats and respond appropriately.”

What we are talking about is essentially propaganda. There are those of us who can see through the smoke and mirrors, but many can’t, and these citizens need protection from the malicious acts of the information criminals.