AI or Human? You’re Asking the Wrong Question.
Murad says “Studying “Vibe Coding techniques” and “Agentic Workflows” is cope and a complete waste of time because within 12-24 months that will be fully hyper-automated as well. Remember “Prompt Engineering”? Pepperidge Farm remembers. The path to Wealth and Success is not to lean further into AI, but to do the polar opposite. To lean into the Human-centric: Community, Missions and Movements. SPX6900: Flip the Stock Market.”
This argument is partly right, partly wrong, and very useful because it points to the real strategic question:
Should you spend your time learning the newest AI workflow tricks, or building human movements that AI cannot easily automate?
The best answer is not “AI or human.” It is:
Use AI to multiply execution, but build around human trust, culture, community, taste, mission, and belonging.
The biggest mistake people are making is believing they must choose between artificial intelligence and human connection.
You don’t win by replacing people with AI.
You don’t win by rejecting AI either.
You win by using AI to scale what only humans can create:
Belief. Trust. Community. Identity. Mission. Movement.
The Case for the Argument
The strongest point is that many tactical AI skills have a short shelf life.
“Prompt engineering” was once treated like a magical new career category. Then AI models became better at understanding messy natural language, tools added templates, workflows became more automated, and the edge moved away from memorizing clever prompt formulas.
The same may happen with parts of vibe coding and agentic workflows.
Today, knowing how to chain tools, write prompts, set up agents, debug outputs, and create automations feels valuable. But over the next 12 to 24 months, much of that may become easier, embedded, and invisible. Software will increasingly build workflows for you. Agents will generate agents. Apps will auto-connect tools. Interfaces will become more conversational. Many “AI operator” skills will become default features.
So yes, there is a real risk in building your entire identity around temporary AI techniques.
A person who says, “I am a prompt engineer,” may be standing on melting ice.
A person who says, “I use AI to build products, communities, media, tools, and movements faster than anyone else,” is on much stronger ground.
Why Human-Centric Strategy Matters
The argument is also right that the biggest long-term value may be human-centric.
AI can generate content.
AI can write code.
AI can design images.
AI can automate workflows.
AI can summarize information.
But AI does not automatically create belief.
It does not automatically create trust.
It does not automatically create a movement.
It does not automatically create taste, status, myth, identity, loyalty, community, or cultural energy.
Those are still deeply human.
That is why “community, missions, and movements” are powerful. People do not only buy products. They join stories. They join identities. They join tribes. They join causes that make them feel like they are part of something bigger than themselves.
Bitcoin is not just code.
Ethereum is not just smart contracts.
Tesla is not just cars.
Apple is not just devices.
Nike is not just shoes.
SPX6900 is not just a ticker.
The best movements turn a financial or technological object into a shared belief system.
That is very hard to automate.
AI can produce infinite content, but it cannot automatically produce conviction. Conviction is built through story, trust, repetition, shared risk, and community identity.
The Counterargument: Ignoring AI Is Also Cope
The opposite extreme is also dangerous.
Saying “don’t lean into AI” can become its own form of cope.
Because AI is not just a trend. It is becoming infrastructure.
Studying vibe coding and agentic workflows is not necessarily a waste of time if you are learning the deeper principles underneath them:
How to build faster.
How to prototype products.
How to automate distribution.
How to create media at scale.
How to analyze markets.
How to run lean teams.
How to coordinate communities.
How to build tools without waiting for developers.
The surface-level tricks may disappear, but the meta-skill remains valuable.
The point is not to become obsessed with every new AI tool.
The point is to become the kind of person who can turn ideas into reality quickly.
That skill will matter even more as AI improves.
The transcript you uploaded about Claude Code and game creation is a perfect example: the creator is not just “prompting.” They are using AI to turn an idea into a working game prototype, then adding movement, art, menus, assets, and monetization paths step by step. The key skill is not a single prompt; it is the ability to direct AI toward a finished product.
Prompt engineering may fade. AI direction will not. The valuable skill is not writing clever prompts. It is knowing what to build, why it matters, and how to guide machines toward a useful outcome.
The Real Distinction: Tactics vs. Leverage
The weak version of vibe coding is:
“I learned a few prompts.”
The strong version is:
“I can build tools, apps, dashboards, games, automations, content systems, and business workflows without waiting for permission.”
The weak version of agentic workflows is:
“I connected five AI tools together.”
The strong version is:
“I can design systems that save time, create output, distribute content, serve customers, analyze data, and compound over time.”
The weak version of human-centric strategy is:
“Community is important.”
The strong version is:
“I can create a mission people believe in, give them roles, reward participation, tell a story, build rituals, create identity, and turn attention into ownership.”
The winners will combine both.
They will use AI for execution and humans for meaning.
The Best Balanced Approach
The balanced strategy is:
Do not become an AI technician. Become an AI-empowered movement builder.
That means you should not spend all your time chasing every new AI workflow hack. But you also should not ignore AI and pretend human community alone is enough.
A modern builder needs both.
Use AI to:
Create content faster.
Build websites and apps.
Design images and videos.
Analyze markets.
Create dashboards.
Automate outreach.
Build community tools.
Summarize research.
Prototype games.
Run campaigns.
Manage workflows.
But use human intelligence to define:
The mission.
The story.
The values.
The community identity.
The rituals.
The humor.
The cultural signal.
The emotional reason people care.
The movement.
That is the real stack.
Applied to SPX6900: “Flip the Stock Market”
This is why SPX6900 is an interesting example.
“Flip the Stock Market” is not just a financial phrase. It is a meme, a mission, and a cultural inversion.
It says:
The old system is fake.
The meme is real.
The community is the market.
The joke is the rebellion.
The ticker becomes a flag.
That is movement logic.
It is not purely rational. It is symbolic. People rally around it because it gives them identity, humor, rebellion, and belonging.
AI can help amplify that movement. It can create memes, videos, websites, lore, dashboards, bots, content calendars, onboarding funnels, translations, and community quests.
But AI cannot replace the human spark that makes people believe the meme means something.
The New Wealth Formula
The old internet formula was:
Content + distribution = attention
The Web3 formula became:
Attention + token = speculation
The next formula may be:
AI execution + human mission + community ownership = movement economy
That is where the real opportunity lives.
Not merely learning AI tools.
Not rejecting AI tools.
Not blindly chasing tokens.
Not pretending community happens by accident.
The winning model is:
Use AI to build faster than a company.
Use community to create trust stronger than a platform.
Use tokens to align incentives.
Use story to create belief.
Use missions to create participation.
Use humans to create meaning.
Final Take
The original statement is correct if it means:
“Do not waste your life memorizing AI tricks that will soon be automated.”
But it is wrong if it means:
“Do not learn AI.”
The better version is:
Do not worship AI techniques. Master AI leverage. Then aim that leverage at something deeply human.
Because the future does not belong to people who only know prompts.
And it does not belong to people who reject technology.
It belongs to people who can use machines to scale human meaning.
Best Quote
The next wave of wealth will not come from choosing AI over humanity or humanity over AI. It will come from using AI to scale execution while building movements around the human things machines cannot fake: trust, belief, identity, mission, and belonging.
