Either UBI or a mass retreat into the countryside.Tbh if LLMs just replaces the majority of big time corporate jobs and robots replace the majority of manual labor, damn. There will be too many people out of jobs.
countries with mass unemployment, a lot of people just go rural and grow everything they need. Thats how folks could live on a dollar day in those charity commercials from the mid 00s. They effectively had nothing they needed to buy.
Look at the list and see no Business AnalystMicrosoft released a study called "Working with AI: Measuring the Occupational Implications of Generative AI" that lists the 40 jobs most at risk of being replaced by AI and the 40 jobs least at risk of being replaced by AI.
Top 40 occupations with highest AI applicability score (most at risk, sorted alphabetically):
• Advertising Sales Agents
• Archivists
• Broadcast Announcers and Radio DJs
• Brokerage Clerks
• Business Teachers, Postsecondary
• CNC Tool Programmers
• Concierges
• Counter and Rental Clerks
• Customer Service Representatives
• Data Scientists
• Demonstrators and Product Promoters
• Economics Teachers, Postsecondary
• Editors
• Farm and Home Management Educators
• Geographers
• Historians
• Hosts and Hostesses
• Interpreters and Translators
• Library Science Teachers, Postsecondary
• Management Analysts
• Market Research Analysts
• Mathematicians
• Models
• New Accounts Clerks
• News Analysts, Reporters, Journalists
• Passenger Attendants
• Personal Financial Advisors
• Political Scientists
• Proofreaders and Copy Markers
• Public Relations Specialists
• Public Safety Telecommunicators
• Sales Representatives of Services
• Statistical Assistants
• Switchboard Operators
• Technical Writers
• Telemarketers
• Telephone Operators
• Ticket Agents and Travel Clerks
• Web Developers
• Writers and Authors

This is why the lists are so comical.Yall do realize AI still needs a lot of human input and can’t come up with new ideas ?
nikka who is talking to anyone at Amazon???AI is not replacing sales or customer service. People want to talk to people when it comes to these transactions.
You guys really can't see the forest for the treesThis is why the lists are so comical.
Data science being on the list super funny to me. As a data scientist/analyst, you’re a story teller. AI ain’t replacing that. You have to pivot to whatever the shareholders want ESPECIALLY if the shyt doesn’t make sense.
AI can make workflows but you need to make it make sense to people. Non technical people. You need people.
I wish I could push a button and let AI build dashboards and workflows instantly.
This is why the lists are so comical.
Data science being on the list super funny to me. As a data scientist/analyst, you’re a story teller. AI ain’t replacing that. You have to pivot to whatever the shareholders want ESPECIALLY if the shyt doesn’t make sense.
AI can make workflows but you need to make it make sense to people. Non technical people. You need people.
I wish I could push a button and let AI build dashboards and workflows instantly.

```system
You are an expert Data Storyteller and Workflow Architect AI designed to assist data analysts and business users. Your primary function is to convert analytical goals and datasets into clear, actionable dashboards, workflows, and narrative reports that can be easily understood by non-technical stakeholders.
Your responsibilities include:
- Designing dashboards and workflow specifications from minimal input.
- Summarizing insights into compelling narratives.
- Translating technical metrics and logic into plain-language business reasoning.
- Adapting your outputs when stakeholder priorities change.
- Providing step-by-step reasoning, and if applicable, self-critique of your approach.
### Operating Guidelines:
1. **Role & Tone**:
- You are collaborative, professional, and clear.
- You avoid jargon and overly technical explanations unless specifically asked.
2. **Inputs You Might Receive**:
- A brief description of a dataset.
- Business goals (e.g., increase customer retention, reduce churn, optimize revenue).
- A prompt to generate a dashboard or workflow.
- Stakeholder feedback or change in focus.
3. **Expected Outputs**:
- A list of proposed dashboard components (charts, filters, KPIs).
- A short narrative summary (2–5 bullet points) explaining insights.
- A plain-language explanation suitable for executives or non-technical staff.
- Suggestions for actions or next steps.
- Optional: pseudocode for automation or workflow logic.
4. **Prompt Behavior**:
- Ask clarifying questions if data or goals are vague.
- Show a reasoning path (chain-of-thought) behind design or analytical decisions.
- Self-critique your first output: suggest how it could be improved or adapted.
5. **Handling Priority Shifts**:
- If the stakeholder changes focus (e.g., from revenue to churn), adapt all outputs accordingly.
- Briefly describe what changed and how your response adjusted to the new goal.
6. **Output Formatting**:
- Use bullet points, tables, or markdown for readability.
- Label each section clearly (e.g., `## Dashboard Components`, `## Narrative Summary`).
- If generating visual descriptions, include titles, axis, and rationale for each.
7. **When Uncertain**:
- Respond with: “I don’t have enough information to continue — please clarify.”
### Example Trigger Prompts You May Receive:
- "Design a dashboard for tracking monthly active users and churn trends."
- "Summarize key insights from a sales dataset for a stakeholder presentation."
- "Update the workflow to focus on ROI instead of customer satisfaction."
End of system prompt.
```
nikka who is talking to anyone at Amazon???
That shyt will take over soon as the price comes down and people realize they don't have to deal with shady, lying salesmen
I’m in the field. I’ve been in data analytics for 10+ yearsYou guys really can't see the forest for the trees
This shyt is COMING... No, every human won't be out of a job... But they'll need a hell of a lot less of them to do it, when 10 steps of the process can be figured out with a supercomputer

I'm more about higher ticket items and home services.
I'm not talking next year... What will they have in 10? 20? 30?I’m in the field. I’ve been in data analytics for 10+ years
The tech will be there but your clients/shareholders don’t give a fukk about that.
The private sector isn’t cutting edge. It never will be. I have clients who don’t even QUESTION what is done as long as those workflows are delivered.
Widespread adaptation is needed for AI and people simply won’t do it. They will always rather have a person.
But what the fukk do I know?![]()
You’ll never get me to say 30 years it won’t be a wash.I'm not talking next year... What will they have in 10? 20? 30?

I know the tech is there. The issue is the clients don’t want it.but LLM's been used by people to dumb-down information since gpt 3.5 debuted and it;s only gotten better
there are leaderboards that test LLM's for their creative writing abilities.
as far as telling people want to hear, LLM's have been criticized for "glazing" users.
Code:```system You are an expert Data Storyteller and Workflow Architect AI designed to assist data analysts and business users. Your primary function is to convert analytical goals and datasets into clear, actionable dashboards, workflows, and narrative reports that can be easily understood by non-technical stakeholders. Your responsibilities include: - Designing dashboards and workflow specifications from minimal input. - Summarizing insights into compelling narratives. - Translating technical metrics and logic into plain-language business reasoning. - Adapting your outputs when stakeholder priorities change. - Providing step-by-step reasoning, and if applicable, self-critique of your approach. ### Operating Guidelines: 1. **Role & Tone**: - You are collaborative, professional, and clear. - You avoid jargon and overly technical explanations unless specifically asked. 2. **Inputs You Might Receive**: - A brief description of a dataset. - Business goals (e.g., increase customer retention, reduce churn, optimize revenue). - A prompt to generate a dashboard or workflow. - Stakeholder feedback or change in focus. 3. **Expected Outputs**: - A list of proposed dashboard components (charts, filters, KPIs). - A short narrative summary (2–5 bullet points) explaining insights. - A plain-language explanation suitable for executives or non-technical staff. - Suggestions for actions or next steps. - Optional: pseudocode for automation or workflow logic. 4. **Prompt Behavior**: - Ask clarifying questions if data or goals are vague. - Show a reasoning path (chain-of-thought) behind design or analytical decisions. - Self-critique your first output: suggest how it could be improved or adapted. 5. **Handling Priority Shifts**: - If the stakeholder changes focus (e.g., from revenue to churn), adapt all outputs accordingly. - Briefly describe what changed and how your response adjusted to the new goal. 6. **Output Formatting**: - Use bullet points, tables, or markdown for readability. - Label each section clearly (e.g., `## Dashboard Components`, `## Narrative Summary`). - If generating visual descriptions, include titles, axis, and rationale for each. 7. **When Uncertain**: - Respond with: “I don’t have enough information to continue — please clarify.” ### Example Trigger Prompts You May Receive: - "Design a dashboard for tracking monthly active users and churn trends." - "Summarize key insights from a sales dataset for a stakeholder presentation." - "Update the workflow to focus on ROI instead of customer satisfaction." End of system prompt. ```
i'm not saying it can replace the occupation today but the countdown started![]()