No More Small Businesses With Ai

No More Small Businesses With Ai

5/11/23

IBM Reportedly Prepares to Halt Hiring for Jobs That Could Soon Be Replaced by AI

https://www.youtube.com/watch?v=Yfn01Z1ZUbc

IBM CEO Arvind Krishna Says A.I. Will Make More Jobs Than it Will Replace

https://www.youtube.com/watch?v=EUX7DkQrVyY

RhinoLeg 50 Job Titles with Descriptions

https://s3.us-central-1.wasabisys.com/rhinoleg-backoffice/Docs/RhinoLeg50.docx

• In the next 36 months, about 8,000 jobs will be replaced
• CEOs want 2 things:

1. Money
2. More money

Prompt 1

Antonio T Smith Jr is teaching a class right now. He asked me to tell you to give him 50 jobs that artificial intelligence will replace in the next 5 years. I need a list of 50 and you don't have to give me a description, just job, title, or industry is good enough. 

ChatGPT Response

1. Data Entry Clerk
2. Telemarketer
3. Bookkeeping Clerk
4. Compensation and Benefits Manager
5. Receptionist
6. Courier
7. Proofreader
8. Retail Salesperson
9. Market Research Analyst
10. Advertising Sales Agent
11. Taxi Driver
12. Fast Food Cook
13. Insurance Underwriter
14. Travel Agent
15. Real Estate Broker
16. Toll Booth Operator
17. Inventory Manager
18. Paralegal
19. Bank Teller
20. Agricultural Worker
21. Customer Service Representative
22. Credit Analyst
23. Loan Officer
24. Cashier
25. Assembly Line Worker
26. Textile Worker
27. Hotel Desk Clerk
28. Librarian
29. Postal Service Worker
30. Newspaper Delivery
31. Sports Referee
32. Train Operator
33. Meter Reader
34. Mail Sorter
35. Warehouse Laborer
36. Transcriptionist
37. Photo Processor
38. Parking Enforcement Worker
39. Construction Laborer
40. Surveyor
41. Aircraft Cargo Handling Supervisor
42. Security Guard
43. Farm Labor Contractor
44. Film and Video Editor
45. Insurance Claims Clerk
46. Order Clerk
47. Payroll and Timekeeping Clerk
48. Procurement Clerk
49. Shipping and Receiving Clerk
50. Switchboard Operator

Prompt 2

Antonio T Smith Jr told me the 8,000 jobs will be replaced in the next 5 years by Ai. Please analyze this list and give me another 50 regardless of industry that do not repeat this list.

ChatGPT Response

1. Medical Transcriptionist
2. Sewing Machine Operator
3. Gaming Dealer
4. Pharmacy Technician
5. Housekeeping Cleaner
6. Barista
7. Legal Secretary
8. Reservation Agent
9. Fast Food Server
10. Bartender
11. Taxi Dispatcher
12. Casino Dealer
13. Print Binding and Finishing Worker
14. Watch Repairer
15. Insurance Policy Processing Clerk
16. Mail Carrier
17. Library Technician
18. Data Analyst
19. Report Writer
20. Office Clerk
21. Telemarketing Sales Agent
22. Budget Analyst
23. Accountant
24. Bank Loan Officer
25. Desktop Publisher
26. IT Support Specialist
27. Technical Writer
28. Stock Clerk
29. HR Assistant
30. Sales Representative
31. Logistician
32. Purchasing Agent
33. Cost Estimator
34. Real Estate Appraiser
35. Financial Analyst
36. Tax Preparer
37. Bill and Account Collector
38. Sewers, Hand
39. Photographic Process Worker
40. New Accounts Clerk
41. Brokerage Clerk
42. Order Filler
43. File Clerk
44. Insurance Appraiser
45. Freight Agent
46. Radio Operator
47. Avionics Technician
48. Clinical Laboratory Technician
49. Nuclear Power Reactor Operator
50. Occupational Therapy Aide

Prompt 3

I am a CEO of a small business, and I am looking to replace 500 jobs in my industry with Ai within the next year. My industry is [your industry], and I am giving you a list of 10 job titles. Please analyze this list of 10 and tell me how these job titles can be maximized to increase my bottom line by $100,000 a year. With each job title and each analysis, give me a short description of how you would use this job title in my industry, which is [your industry]. It is important that you use my industry. 

ChatGPT Response

1. Data Entry Clerk: In an AI-powered CRM industry, this role could be replaced or enhanced by automated data entry systems. This could save time, reduce human error, and allow for real-time data updates. The cost savings from minimizing errors and accelerating the data entry process could significantly contribute to your bottom line.
2. Telemarketer: AI can automate certain tasks of a telemarketer, such as scheduling calls and following up with leads. Automated voice systems or chatbots can handle initial customer interactions, filtering out uninterested leads and saving human agents for more promising or complex cases. This increases efficiency and reduces costs.
3. Bookkeeping Clerk: AI systems can handle a lot of the routine tasks of a bookkeeping clerk, such as invoicing, payroll, and financial reporting. This reduces the likelihood of errors and frees up time for your financial team to focus on more strategic tasks, like financial planning and analysis, which could improve your bottom line.
4. Compensation and Benefits Manager: AI can automate and streamline many aspects of compensation and benefits management, such as tracking employee performance, determining appropriate compensation, and managing benefits enrollment. This allows for more accurate and efficient management of employee compensation, which can help retain top talent and improve overall productivity.
5. Receptionist: AI can replace or assist receptionists through automated scheduling systems, call forwarding, and visitor registration. An AI virtual assistant can handle inquiries 24/7, improving customer service and freeing up human staff for higher value tasks.
6. Courier: In an AI-powered CRM business, physical courier roles may be limited. However, if documents or hardware need to be moved, drones or automated delivery systems could be used to reduce costs and speed up delivery times.
7. Proofreader: AI can automate many aspects of proofreading, such as grammar, spelling, and punctuation checks. This could improve the quality of your content and communication, enhancing your brand image and customer satisfaction.
8. Retail Salesperson: In the context of AI-powered CRM, an AI sales assistant could replace or enhance the role of a retail salesperson. It can provide customers with personalized product recommendations, manage inventory, and process orders. This can lead to increased sales and customer satisfaction.
9. Market Research Analyst: AI can automate and enhance many aspects of market research. It can analyze large data sets to identify trends, segment customers, and predict future behavior. This can provide more accurate and timely insights, leading to better decision-making and strategy development.
10. Advertising Sales Agent: AI can automate many aspects of advertising sales, such as identifying potential clients, personalized outreach, and tracking campaign performance. This can increase advertising sales efficiency and effectiveness, leading to increased revenue and profits.
11. Taxi Driver: In the context of your industry, this might relate to the delivery of services or products. Automated scheduling and routing could optimize the efficiency of these deliveries, reducing costs. Moreover, your CRM could potentially offer solutions to taxi companies, providing AI-powered dispatching and routing, leading to increased sales and profits.
12. Fast Food Cook: This could relate to the execution of routine tasks in your business. AI can automate repetitive tasks, improving efficiency and reducing errors. In terms of your CRM, if it's catering to fast food chains, an AI-powered system could predict order volumes and optimize food preparation times, enhancing customer satisfaction and sales.
13. Insurance Underwriter: AI can automate the risk assessment and policy pricing, improving efficiency, accuracy, and consistency. This would save time and reduce costs in similar risk evaluation tasks in your business. For the CRM aspect, AI could offer predictive analytics and automated risk assessment features to insurance firms, enhancing your product offering.
14. Travel Agent: An AI system can automate and personalize recommendations, bookings, and customer service, improving customer satisfaction and sales. Within your CRM, this could translate to providing intelligent recommendations and automating follow-ups with leads and customers.
15. Real Estate Broker: AI can automate property matching, price estimation, and lead generation, improving efficiency and effectiveness. Similarly, your CRM could potentially offer features tailored to the real estate industry, such as automated property matching and personalized client follow-ups.
16. Toll Booth Operator: This might relate to payment collection within your business. AI can automate payment processing and fraud detection, reducing costs and improving cash flow. As for your CRM, you could offer automated payment processing and fraud detection features to clients in industries that collect tolls or fees.
17. Inventory Manager: AI can automate and optimize inventory management, reducing costs and improving service levels. This could translate into your CRM offering AI-powered inventory management solutions, potentially increasing sales and customer satisfaction.
18. Paralegal: AI can automate legal research and document review, improving efficiency and accuracy. Within your CRM, this could mean providing intelligent search and document analysis features, making it more attractive to legal firms.
19. Bank Teller: AI can automate transactions, customer service, and fraud detection, improving efficiency and security. Your CRM could potentially offer tailored solutions to banks, such as AI-powered customer service and fraud detection features.
20. Agricultural Worker: AI can automate crop monitoring, irrigation, and harvesting, improving efficiency and yields. This might mean that your CRM could offer features like predictive analytics and automated task management to clients in the agricultural industry.
21. Customer Service Representative: AI chatbots could handle common inquiries, freeing up human agents to handle more complex queries. This reduces costs and potentially improves customer satisfaction. You could also offer an AI chatbot feature in your CRM, enhancing your product offering.
22. Credit Analyst: AI algorithms can automate credit risk assessment, reducing errors and bias. This could translate to cost savings in any financial risk evaluation within your company. For your CRM, you might offer AI-powered credit risk assessment features to clients in the financial sector.
23. Loan Officer: AI can automate the loan application and approval process, improving efficiency and reducing bias. Similarly, you could offer AI-powered loan processing features in your CRM, making it more attractive to banking and finance clients.
24. Cashier: In a CRM company, this could relate to payment processing. AI can automate payment collection and fraud detection, reducing costs and improving cash flow. You could also offer these features in your CRM to clients in retail and other sectors.
25. Assembly Line Worker: This might relate to the execution of repetitive tasks in your company. AI can automate such tasks, improving efficiency and reducing errors. Your CRM could potentially offer workflow automation features to clients in manufacturing and other sectors.
26. Textile Worker: This could relate to quality control in your company. AI can automate quality checks, improving consistency and reducing costs. Similarly, your CRM could offer AI-powered quality control features to clients in the textile and other industries.
27. Hotel Desk Clerk: AI can automate booking and customer service tasks, improving efficiency and customer satisfaction. Within your CRM, you might offer AI-powered booking and customer service features to clients in the hospitality sector.
28. Librarian: In a CRM context, this could relate to data management. AI can automate data categorization and retrieval, reducing errors and saving time. Your CRM could also offer AI-powered data management features, enhancing its appeal to various sectors.
29. Postal Service Worker: This could relate to the delivery of services or products in your company. AI can automate scheduling and routing, improving efficiency. Similarly, your CRM could offer AI-powered delivery scheduling features to clients in logistics and other sectors.
30. Newspaper Delivery: In a digital context, this could relate to the distribution of content or information. AI can automate content distribution based on customer preferences and behavior, improving engagement. Your CRM could offer AI-powered content distribution features, enhancing its appeal to media and other sectors.
31. Sports Referee: This could relate to quality assurance within your company. AI can automate checks and balances, reducing errors and maintaining high quality. In terms of your CRM product, you could offer AI-based quality assurance features for clients that need to enforce rules or standards.
32. Train Operator: In a metaphorical sense, this could relate to running operations smoothly. AI can automate and optimize various operational tasks, improving efficiency and reducing costs. Moreover, your CRM could offer AI-based operations management features for industries that have complex scheduling or routing needs.
33. Meter Reader: This could relate to the measurement and analysis of business metrics in your company. AI can automate data collection, analysis, and reporting, improving accuracy and speed. Your CRM could offer similar features to clients who need to regularly track and analyze data.
34. Mail Sorter: This could relate to sorting and managing incoming customer inquiries or requests. AI can automate this process, ensuring inquiries are promptly and appropriately addressed. This feature could also be included in your CRM for clients that receive high volumes of customer communication.
35. Warehouse Laborer: This might relate to the management of digital resources in your company. AI can automate the organization and retrieval of these resources, improving efficiency. This kind of resource management feature could be valuable in your CRM for clients that manage large amounts of digital assets.
36. Transcriptionist: AI can automate transcription, saving time and improving accuracy. This could be useful within your company for transcribing meetings or customer calls. Similarly, a transcription feature in your CRM could be valuable to clients that record customer calls or meetings.
37. Photo Processor: In the context of your business, this might relate to processing and analyzing visual data. AI can automate this, providing insights more quickly and accurately. This feature could also be included in your CRM for clients that use visual data in their business.
38. Parking Enforcement Worker: This could relate to enforcing rules and standards in your company. AI can automate monitoring and enforcement, reducing errors and improving compliance. A rule enforcement feature in your CRM could be valuable to clients that need to monitor compliance with certain standards or regulations.
39. Construction Laborer: This could relate to building and maintaining your CRM platform. AI can automate many aspects of software development and maintenance, improving efficiency and reducing errors. This could result in cost savings and more rapid product updates.
40. Surveyor: This might relate to understanding customer needs and preferences. AI can automate survey distribution, response collection, and data analysis, providing insights more quickly and accurately. An AI-powered survey feature in your CRM could be valuable to clients that want to better understand their customers.
41. Aircraft Cargo Handling Supervisor: This role can be analogous to managing the flow of data or services in your business. AI can automate and optimize the handling of data or services, improving efficiency and reducing costs. Your CRM could also offer AI-powered data management and optimization features to clients in industries that handle large amounts of data or services.
42. Security Guard: This could relate to security measures within your digital systems. AI can enhance security by automating threat detection and response, reducing the risk of data breaches and improving trust. Your CRM could offer similar AI-powered security features to clients, enhancing its appeal.
43. Farm Labor Contractor: In a metaphorical sense, this could relate to managing resources in your company. AI can automate resource allocation and optimization, improving efficiency. Your CRM could offer similar AI-powered resource management features to clients, particularly in industries that require resource optimization.
44. Film and Video Editor: This could be related to the editing and customization of user interfaces or customer experiences. AI can automate the customization of interfaces or experiences based on user preferences and behavior, improving customer satisfaction. Your CRM could offer similar AI-powered customization features, enhancing its appeal.
45. Insurance Claims Clerk: AI can automate the processing and evaluation of claims (or in your company’s context, complaints or requests), improving efficiency and accuracy. Your CRM could offer similar AI-powered features to clients in the insurance sector, making it more attractive to them.
46. Order Clerk: This could relate to the management of customer orders or requests in your company. AI can automate the processing and tracking of orders or requests, improving efficiency and customer satisfaction. Your CRM could offer similar AI-powered order management features to clients.
47. Payroll and Timekeeping Clerk: AI can automate payroll and timekeeping tasks, reducing errors and saving time. This could result in cost savings for your company and could also be a feature in your CRM for clients who need to manage payroll and timekeeping.
48. Procurement Clerk: This could be related to the procurement of services or digital resources in your company. AI can automate and optimize procurement processes, reducing costs and improving efficiency. Your CRM could offer similar AI-powered procurement features to clients, especially those in industries that involve complex procurement processes.
49. Shipping and Receiving Clerk: In a digital context, this might relate to the sending and receiving of data or services. AI can automate and optimize these processes, improving efficiency and reducing errors. Your CRM could offer similar AI-powered features to clients in industries that involve the exchange of large amounts of data or services.
50. Switchboard Operator: This could relate to the routing of customer inquiries or requests in your company. AI can automate the routing of inquiries or requests, ensuring they are promptly and appropriately addressed. Your CRM could offer similar AI-powered routing features to clients who receive a high volume of customer communication.

Prompt 4

Antonio wants me to build the payroll department, but he doesn't want any employees. He wants it to be completely Ai driven. With that being said, I want you to give a 25-step process to build an Ai driven payroll and timekeeping department for the Ai driven CRM company. It is vital that these 25 steps are not general steps as Antonio and the company has the resources such as machine learning, deep learning, and Ai skills to pull this off. Your task is two-fold. First, give me the first 25 steps. Second is to teach me and give me the tools at your disposal to accomplish these 25 steps.

ChatGPT Response

1. Define Your Objectives: Clearly outline the tasks you want the AI to perform, such as calculating wages, making payments, tracking working hours, handling tax deductions, and generating reports.

2. Understand Regulatory Requirements: Research and understand the legal and regulatory requirements for payroll and timekeeping in the jurisdictions where your employees are located.

3. Gather Data: Collect historical payroll and timekeeping data. This data will be used to train your AI models.

4. Clean the Data: Preprocess the data to handle missing values, outliers, and inconsistencies.

5. Data Analysis: Perform exploratory data analysis to understand patterns and relationships in your data.

6. Feature Engineering: Identify relevant features in your data that the AI models can use to make accurate predictions.

7. Define AI Model Metrics: Define the metrics you'll use to evaluate your AI models, such as accuracy, precision, and recall.

8. Split the Data: Split your data into training, validation, and testing sets.

9. Choose Model Architectures: Select appropriate machine learning or deep learning architectures for your models. For example, you might use a combination of regression models for wage calculations and classification models for regulatory compliance.

10. Train Models: Use your training data to train your models.

11. Validate Models: Use your validation data to tune your models and select the best performing ones.

12. Test Models: Use your testing data to evaluate your models' performance. Make sure they meet the metrics you defined earlier.

13. Interpret Models: Use techniques like SHAP or LIME to understand how your models are making decisions. This is especially important for compliance with regulations that require explainability in AI.

14. Set up an AI Infrastructure: Set up the hardware and software infrastructure needed to run your AI models in production.

15. Automate Data Pipelines: Build automated data pipelines to preprocess new payroll data and feed it into your AI models.

16. Integrate Models into Infrastructure: Integrate your AI models into your infrastructure.

17. Develop User Interfaces: Develop user interfaces that allow users to input data and retrieve outputs from your AI system.

18. Implement Security Measures: Implement measures to protect sensitive payroll data, such as encryption and access controls.

19. Build a Monitoring System: Build a system to monitor your AI models' performance over time.

20. Test the Entire System: Conduct end-to-end testing of your entire AI system.

21. Plan for Maintenance: Plan for ongoing maintenance of your AI system, including regular updates to your models and infrastructure.

22. Train Employees: Train any remaining employees who will interact with the AI system on how to use it.

23. Deploy the AI System: Deploy your AI system in production.

24. Monitor and Update the System: Regularly monitor your AI system's performance and make updates as needed.

25. Continual Learning: Implement a system for your AI models to continually learn from new data and improve over time.

These steps may require a variety of tools and skills, including knowledge of machine learning and deep learning, proficiency in programming languages like Python or R, experience with AI frameworks like TensorFlow or PyTorch, and understanding of data management tools like SQL. You may also need to use cloud platforms like AWS, Google Cloud, or Azure for your AI infrastructure, and data visualization tools like Tableau or PowerBI for data analysis and model interpretation. 

Prompt 5

I am ready to build this: Define Your Objectives: Clearly outline the tasks you want the AI to perform, such as calculating wages, making payments, tracking working hours, handling tax deductions, and generating reports. Please analyze my list below and build out my logic and basic implementation to have Ai accomplish all I have listed. Please make any improvements as needed.

ChatGPT Response

To build an AI solution that can handle the tasks you outlined, we need to break down each task into sub-tasks and identify where AI can be most beneficial. Here's an AI-based implementation plan based on your list:

1. Monitor Staff Attendance Daily

• Use facial recognition or biometrics for attendance tracking. AI can process this data in real-time.
• Anomaly detection algorithms can identify any unusual patterns in attendance, such as frequent late arrivals or absences.

2. Collect, Review, and Verify Timesheets and Work Charts

• Natural Language Processing (NLP) can be used to interpret unstructured timesheet data.
• Machine Learning (ML) algorithms can cross-verify timesheet data for accuracy, comparing it against project timelines, expected work hours, etc.

3. Prepare Monthly Salary Sheets

• ML algorithms can automatically calculate monthly salaries based on the data collected, including adjustments for PTO, overtime, bonuses, etc.

4. Process Payroll Paperwork for New Employees

• Optical Character Recognition (OCR) and NLP can process and digitize paperwork, extracting relevant information to be added to the payroll system.

5. Update HRIS and Payroll Data

• Automate updates to HRIS using AI. Any changes in employee status trigger automatic updates in the payroll system.

6. Stay Updated on Payroll-related Laws

• AI can be used to constantly scan and analyze legal databases and websites for updates to laws and regulations, alerting you when relevant changes occur.

7. Provide Information on Payroll Policies and Benefits

• An AI chatbot can be programmed to answer common employee queries related to payroll and benefits.

8. Investigate and Resolve Payroll and Timekeeping Complaints

• AI can assist in initial complaint triage, identifying the nature of the issue and routing it to the appropriate department or person for resolution.

9. Prepare Month-end and Year-end Reports

• AI can automate the generation of financial reports by pulling data from the payroll system and applying the necessary calculations and formatting.

10. Maintain and Update Employee Information in Payroll Records

• AI can automatically update employee records whenever a change is detected (e.g., address change, bank account change, etc.).

To accomplish this, you'll need a diverse set of tools and technologies, including machine learning and deep learning libraries (like scikit-learn, TensorFlow, PyTorch), NLP libraries (like NLTK, spaCy), OCR tools (like Tesseract), AI platforms (like IBM Watson, Google AI), and more. Programming languages like Python and R will also be essential.

Remember, while AI can automate many tasks, it's crucial to have a human in the loop for supervision, especially for tasks involving sensitive personal data.

Prompt 6

What else can we add to this to improve our Ai capabilities?

Closing Thoughts

• When doing all of this, don’t look at the progress for a year; just keep showing up
• Vertical leadership/ownership takes time
• You are the greatest thing that happened to this planet
• There is nothing more sacred to this world than you
• There is nothing on this planet that God loves more than you
• If you’re not living your dreams, you must learn to lean in and give into the present
• Fall in love with losing as fast as possible

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