Your Future with AI

AI is not going anywhere. There, I said it. You may have read various clickbait titles like "The AI Hype is Over" but let me tell you that generative AI is not being hyped like certain cryptocurrencies/altcoins (do you remember BitConnect? ??). Let me state by the way that I am a firm believer in Web3 blockchain technology and even NFTs. However, the AI "hype" is different. The idea of adoption is settled on quickly when a business starts to dream of the possibilities (or is coached through them). The benefits are easy to calculate, and there is clear ROI. AI is being implemented at an unprecedented rate and when I say AI, in this particular case, I am referring to generative AI. Let's talk about what this means for you and your future work.

40% of Workers Will Need to Reskill in the Next Three Years

A recent article regarding a study by IBM by Sabrina Ortiz on ZDNET details that 1.4 billion people out of the global workforce will need to reskill within the next 3 years. This will require those individuals to embrace AI rather than fear or oppose it and I would add that creative thinking will definitely help solidify your future role. Fearing AI at this point is like standing still and covering your eyes when someone begins to chase you. You can't see them, they can still see you, and you are an easy frozen target. AI is here and it has already started to change how we work and will only continue to do so.

You already likely rely on technology for various aspects of your business. I believe that in the not-so-distant future, technology will lean on us. It will lean on us to direct it, reassure it, and help coach it to be better. Sounds like a potential puppet show but the puppets in this case can actually deploy and operate themselves autonomously. They can however be monitored and carefully reviewed as to their thoughts, actions, and their work.

I believe that we will likely see job titles like "AI Agent Controller" (AAC), "Chief AI Agent Officer" (CAIAO), or "Chief Autonomous AI Officer" (CAAIO). We already have seen the rise of the "Chief AI Officer" (CAIO). My prediction is that entire teams will be built around AI agents and the monitoring of their work. We can already safely say that entire teams are built that are developing them. If you did not catch this in one of my LinkedIn posts earlier this year, check out this interactive AI agent experiment created by Stanford.

87% of Executives Expect Generative AI to Augment Roles (Not Replace Them)

Studies have shown that AI adoption leads to positive outcomes and does not lead to negative workforce changes. Studies have also shown that AI adoption positively correlates with employee income growth. Implementing AI has also positively impacted employee psychology and behavior. For example, the above study found that the introduction of AI into the workplace can increase employees’ skill requirements for creativity and human-machine collaboration, which directly strengthens their thriving at work.

Collaboration is the key to augmentation in your future role with AI. You may have used ChatGPT to offload various tasks such as writing code or creating a summary of your thoughts. You may have used it for more in-depth things. The "chat interface" or more appropriately named, "prompt interface", is one that I would definitely get used to. It may not always look like a chat or conversation although it could be for the end user. As someone inevitably working with AI (now and) in the future, think about prompts and workflows. You are a director with your prompts, how you say things matters and will dictate the final outcome.

Just like we have seen with code output from ChatGPT, how you prompt the Large Language Model (in that case either GPT-3.5-turbo or GPT-4) will determine the output. One slight omission from your initial prompt can leave you undoing your work multiple prompts later down the chain or even potentially starting over.

So, learn prompting. Learn how to prompt different models too. For instance, learn how to get what you want from GPT-3.5-turbo and GPT-4. Then, move on to Bard and Clyde. After, that, I would encourage you to do what I did and dive into some of the Huggingface models like Falcon, WizardLM, Vicuna, etc. This encouragement is for intermediate and expert-level pioneers, however. You can either self-host a model (if your machine is up to snuff) or run a model on an inference endpoint through Huggingface. Self-hosting is free (you pay the energy costs technically) and inference endpoints can get costly depending on the model but again, depends on your own computational limitations.

I will do an article on how to set up inference endpoints and self-hosting LLMs on your local machine (not with Google Colab) at some point over on Future Frontier: Black.

A List of the Stats for You

Here is a link to the article: https://www.zdnet.com/article/40-of-workers-will-have-to-reskill-in-the-next-three-years-due-to-ai-says-ibm-study

• 1.4 billion people out of the global workforce will need to reskill within the next 3 years due to the impact of AI.
• 40% of executives surveyed estimate that their workforce will need to reskill in the next three years due to AI implementation.
• 87% of surveyed executives expect generative AI to augment roles rather than replace them.
• Tech adopters who successfully reskill for technology-driven job changes experience a revenue growth rate premium of 15% on average.
• Focusing on AI leads to a 36% higher revenue growth rate compared to peers.

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Hey, I'm Dave! I'm a former digital agency owner, now co-founder of Bold Crow AI. I help businesses & organizations implement customized AI solutions in a responsible way. I've built cool tools for nonprofits too, helping them gather and leverage social proof.

Let's connect:?Dave Norris

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