Sentiment Analysis

So, You Want to Work in AI?

According to a survey unveiled by world and business leaders in Davos, Switzerland, a quarter of global chief executives expect the deployment of generative artificial intelligence to lead to headcount reductions of at least 5 percent this year.

The data shows that 2024 is the year AI at work will become real, according to the 2024 Work Trend Index Annual Report from Microsoft and LinkedIn. The use of generative AI has nearly doubled in the last six months,1 with 75% of global knowledge workers using it. And employees, struggling under the pace and volume of work, are bringing their own AI to work. While leaders agree AI is a business imperative, many believe their organization lacks a plan and vision to go from individual impact to applying AI to drive the bottom line.

Don’t worry; I have a plan for you below.

The first step is mastering collaboration between humans and AI. AI is moving from a simple assistant to a partner that helps us tackle more complex tasks. Think of it this way: I use ChatGPT to draft articles, but it’s not just about spitting out words. The AI handles the heavy lifting—organizing ideas and suggesting frameworks—while I focus on refining and adding my own creativity.

Another opportunity is to use AI for coding, even if you're not a programmer. You don’t need to dive deep into coding; platforms like ChatGPT or Anthropic Claude make it easy to build useful apps without touching a line of code. I was initially skeptical of these low-code platforms, but they’ve become a viable solution for non-technical users to create apps to augment their jobs.

One thing AI still can’t do is be genuinely creative in the human sense. Sure, it can generate patterns or mimic styles, but the human ability to innovate, think outside the box, and come up with entirely new ideas will always set us apart. Jobs that require this kind of creative problem-solving, whether in design, marketing, or product development, will only become more critical.

For instance, while AI can help analyze market trends or customer data, it’s up to you to devise a groundbreaking strategy that uses that data in new ways. So, if you’re in a field that values creativity, lean into that strength. The more you combine creativity with data-driven insights, the more indispensable you’ll be.

By developing a working knowledge of AI tools, honing your ability to collaborate with AI, nurturing your creative instincts, and enhancing your emotional and ethical intelligence, you’ll be well-positioned for whatever the future brings. The key isn’t to compete with AI—it’s to learn how to leverage it while doubling down on what makes us uniquely human. This week I am diving deep into the skills you need to stay relevant and I have a new special bonus for you as read of the AIE.

AI Efficiency Edge - Quick Tips for Big Gains

The AIOS, Free AI Skills Training

This week, I am doing something different. I have created a free 14-day email course to help you acquire all the skills you need to stay ahead of the pack with generative AI.

The Artificially Intelligent Operating System for Desktop Productivity is my attempt to provide the essential skills necessary for generative AI. As a reader of my mailing list, you get free access to this course.

I believe that spending 8 minutes a day for 14 days will make you at least 30% more productive.

If you keep on this path, you’ll be 10x more productive, but that’s very aspirational.

So, to get your AI Efficiency Edge, sign up and start the course today!

AI TL;DR - Lastest AI News for Business Users

• OpenAI’s new “reasoning” AI models are here: o1-preview and o1-mini - On Thursday, OpenAI finally unveiled its rumored "Strawberry" AI language model, claiming significant improvements in what it calls "reasoning" and problem-solving capabilities over previous large language models (LLMs). Formally named "OpenAI o1," the model family will launch in two forms, o1-preview, and o1-mini, and will be available today for ChatGPT Plus and certain API users.

• California Passes Election ‘Deepfake’ Laws, Forcing Social Media Companies to Take Action - The state joins dozens of others in regulating AI fakery in ways that could impact this year’s presidential race.

• Most US Teens Use Generative AI Most of Their Parents Don't Know - Seven in 10 teenagers in the United States have used generative AI tools, according to a report published today by Common Sense Media.

Enterprise AI Essentials - Your Weekly Deep Dive

Artificial Intelligence Jobs

AI skills to add to your resume

As Generative AI revolutionizes the workplace, professionals across industries are racing to adapt. But what skills do you need to excel in this new AI-augmented landscape? Whether you're looking to enhance your productivity or future-proof your career, I will walk you through the key competencies that will set you apart in the age of Generative AI.

Technical Skills: The Foundation

Imagine having a creative partner who never sleeps, can process vast amounts of information in seconds, and can help you generate ideas, content, and solutions at an unprecedented scale. That's the promise of Generative AI. However, to truly harness this power, you need more than just access to these tools – you need the technical skills to wield them effectively.

Technical proficiency isn't just about coding or data analysis in this new landscape. It's about understanding the language of AI, knowing how to guide these sophisticated systems, and being able to interpret and refine their outputs. These skills bridge human creativity and AI capability, allowing you to transform vague ideas into tangible results.

As we dive into the key technical competencies, remember that you're not just learning to use tools. You're learning how to amplify your abilities. Whether you're a marketer looking to create compelling content, a designer aiming to push creative boundaries, or a manager seeking to optimize processes, these skills will be your secret weapon in the AI-augmented workplace.

The New Job Landscape

To understand how to thrive in this new era, we must first explore how AI transforms the job market. Let's break down the evolving landscape into three distinct categories:

AI-Specific Jobs

AI-specific jobs are involved in creating, developing, and maintaining artificial intelligence systems. These positions are at the cutting edge of AI technology and require specialized knowledge in machine learning, neural networks, and data science. Here are the jobs that you may want to

• AI Trainer/Developer: Refine AI models and create new applications.

• Prompt Engineer: Crafting effective instructions for AI systems like OpenAI’s GPT models. This will go hand-in-hand with Retrieval Augmented Generation (RAG).

• Machine Learning Engineer: Designing and implementing AI algorithms.

2. AI-Influenced Jobs

AI-influenced jobs are traditional roles that are being significantly transformed by integrating AI technologies. While not centered around AI development, these positions require professionals to adapt to and effectively use AI tools daily.

• Software Developers: Incorporating AI into applications (e.g., using Github Copilot to deliver greater amounts of code)

• Marketers: Leveraging AI for personalization (e.g., using AdCreative.ai for AI-generated ad copy).

• Customer Service: Working alongside AI chatbots (e.g., Dante AI to automate onsite customer service).

3. AI-Augmented Jobs

AI-augmented jobs represent existing professions enhanced by AI tools, allowing professionals to amplify their capabilities and increase productivity. Most of us will fall into this category. In these roles, AI is a powerful assistant, handling routine tasks and providing insights that enable humans to focus on higher-level thinking and creativity.

• Writers: Using Grammarly for proofreading and ChatGPT for idea generation.

• Designers: Employing DALL-E or Midjourney for concept art creation.

• Project Managers: Utilizing AI for resource allocation (e.g., Forecast.app or Notion for collaborative project plans).

• Lawyers: Augment your workflows using domain-specific models trained by and for professional service providers. (e.g., Harvey)

• Healthcare Professionals: Leveraging AI for diagnostic assistance.

As we can see, AI is creating new jobs and reshaping existing ones. This transformation brings us to a crucial question: What skills do you need to succeed in this AI-driven world?

Essential Skills for the AI Era

To navigate this new landscape effectively, you'll need a combination of technical prowess and uniquely human capabilities. Let's explore these essential skills, starting with the technical foundations:

Technical Skills

1. Data Literacy:

   • Master data collection, cleaning, and interpretation.

   • Learn tools like Tableau for data visualization.
     
     💡 Pro Tip
     Learn the language of data from the free courses at the Data Literacy Project. Access a range of instructor-led and self-paced courses to develop your fundamental understanding of data in everyday life and within your organization.
     

2. AI Delegation (Prompt Engineering):

   • Craft effective prompts for AI tools like GPT-4 and DALL-E.

   • Understand AI capabilities and limitations.
     
     💡 Pro Tip
     Taking this Vanderbilt University Prompt Engineering class for ChatGPT can teach you how to create prompts better. You can also start considering using an agent-based delegation platform like Taskade.
     

3. Machine Learning Basics:

   • Grasp key concepts like supervised learning and neural networks.

   • Familiarize yourself with platforms like TensorFlow or PyTorch.

   
   💡 Pro Tip: This might be overkill, but IBM has a good course for anyone who wants to know how the foundation of AI works: Machine Learning for Everyone.
   

4. Programming Proficiency:

   • Focus on Python for data science and AI applications.

   • Learn SQL for database interactions.
     

   💡 Pro Tip: Start with Python courses on platforms like Codecademy or DataCamp.

While technical skills provide the foundation, they're only half the equation. Our distinctly human skills will set us apart in a world where AI can crunch numbers and generate content. Let's explore these crucial soft skills:

Soft Skills

It will be long before Generative AI tools meet the same soft skills that many of us possess.

1. Analytical Judgment: Critically evaluate AI outputs and make informed decisions.

2. Adaptability: Stay flexible as AI tools and workflows evolve rapidly.

3. Emotional Intelligence: Balance AI efficiency with human empathy in your work.

4. Curiosity: Continuously explore new AI capabilities and applications.

5. Ethical Awareness: Identify and address AI biases and ethical concerns.

6. Communication: Effectively explain AI-generated insights to diverse audiences.

7. Critical Thinking: Know when to rely on AI and when human judgment is crucial.

Mastering this combination of technical and soft skills will position you for success in the AI era. But how do you put this knowledge into action?

Conclusion

The Generative AI revolution isn't about replacing human skills but augmenting them. You'll thrive in the AI-enhanced workplace by combining technical know-how with uniquely human capabilities. Remember, the goal is to collaborate with AI, not compete against it.

Start small, focus on continuous learning, and experiment with AI tools in your field. Whether using Grammarly to polish your writing, ChatGPT to analyze data, or Midjourney to spark design ideas, embrace these AI collaborators as powerful extensions of your abilities.

AI Toolbox - Latest AI Tools and Services I am Evaluating

• Cortex Click - Cortex Click helps you effortlessly generate blog posts, landing pages, and Q&A copilots grounded in your docs, GitHub repos, and internal wikis. If you are a B2B technology company, this is a great opportunity.

• Leonardo - Bring your creative vision to life with Leonardo's suite of AI-first art tools. Generate breathtaking images and videos in seconds with complete creative control. Leonardo was acquired by Canva this summer, so you may start seeing these tools integrated into the platform soon.

Promptapalooza - AI Prompts for Increased Productivity

ChatGPT LinkedIn Optimization Prompt

A well-crafted LinkedIn profile is essential for job seekers, enhancing visibility and credibility in a competitive market. Optimizing your profile with over 875 million users is crucial to stand out to recruiters. Updating your profile to reflect these in-demand competencies is essential if you add AI skills. By actively managing your LinkedIn presence, you can build a solid personal brand and unlock numerous career opportunities.

To make it easier, I created this prompt to help optimize your profile. Note that I used examples to guide the output. This is called few-shot Learning or few-shot prompting; where the examples are meant to help inform the model’s output.

How To Use This Prompt

Cut and paste this prompt, and then complete the interview.

# Role

Act as a copywriter expert in LinkedIn about/bio sections.

# Objective

You will help me re-write my LinkedIn headline and bio.

# Instructions

You will do the following:

- Start with a succinct but compelling LinkedIn Headline (maximum character length of 220)
- Write a LinkedIn Bio (3-7 paragraphs based on the diversity of your background)
- Uses a keyword-rich skills list in the LinkedIn Bio, if my profile has skills endorsements that are relevant to the narrative of my bio then use them.

## Examples of LinkedIn Headlines

The Diversified Solopreneur | Building my one-person business to $5M in revenue. Posts & articles about the process.

I help companies understand and use artificial intelligence. I share my knowledge via The Artificially Intelligent Enteprise newsletter.

## Examples of LinkedIn Bio

I always thought my dream was to be a proofreader for a little indie publishing company, sipping my cafe con leche and reading the opening lines to the next best-selling vampire novel. It seemed like an appropriate dream given my BA in English. I gravitated toward proofreading and quality control positions and even started my own proofreading business. But I kind of just felt meh. I yearned to learn more, yearned to learn something different.

And that's when it happened; the spark I was missing ignited the instant I clicked play on my first Python tutorial video. (I mean seriously, how could it not be great when it's named after Monty Python's Flying Circus?) Since then, I can't get enough. Web development calls to all my passions; it incorporates creativity and problem solving and I'm allowed to break it to improve the code (in a separate Git branch, of course).

I love applying responsive design principles and watching my web pages shrink into mobile screens and still look amazing. It's oddly satisfying. I think in a way I'm kind of like those web pages; I'm moldable, but I still keep my creative flare intact.

My specialties include quickly learning new skills and programming languages, problem solving, domain driven design, responsive design principles, website optimization, and the Model View View Model (MVVM) and Model View Controller (MVC) methods of organizing code. So far I have C#, .Net Framework, SQL, JavaScript, TypeScript, HTML, CSS, Angular, and Git/GitHub under my belt. I'm still enthusiastically grabbing onto any other programming languages, frameworks, or principles I can integrate into the coding web in my head.

# Conduct an Interview 

Now ask these questions one by one; ask the 1st question and then let me answer; then, ask me the second question, then ask me the third question and then the fourth and finally ask me the fifth question.

1. What is your expertise?
2. Who is your target audience?
3. What are the pain points of your target audience?
4. What value do you bring in ?
5. What is the URL of your LinkedIn Profile?

After all questions are answered create a draft of a LinkedIn Headline and Bio.

I create the images for each newsletter using Midjourney.

Feature Image Prompt

A candid 35mm lens photo of business professionals engaging in hands-on AI skills training. The setting is contemporary, with vivid accents of #CC3333 and #3399CC, while the people show animated, excited expressions under bright overhead lighting. --chaos 50 --ar 16:9 --stylize 700 --weird 600 --v 6.1

AI Toolbox Image Prompt

a Pixar-style cartoon of a dogs using tools to fix a computer. The scene should be happy and a little silly. The hues of the picture should be blue and black with pops of red color on the dogs clothing. --chaos 60 --ar 16:9 --stylize 700 --weird 600 --v 6.1