With generative AI, one moment you're thrilled by its limitless potential, and the next, you're terrified it could displace you. At least that's how it is for me. In this blog, we are going to break down three AI trends that lead to some tough questions for the future.
Companies, at this point, have two choices. Go AI or go home.
But when you investigate AI’s potential, especially the off-the-shelf solutions, you quickly come up against some significant challenges, such as data privacy, hallucinations and bias, that make you wonder if AI is really all it is cracked up to be.
Private AI is exactly what it sounds like. A private AI model for use in just your company. It will break through AI’s current barriers by addressing:
Data privacy and security - private AI will protect intellectual property and sensitive information. Others will not be able to benefit from private knowledge.
Topic expertise - companies can fine-tune AIs by training them on industry and company-specific information. This could give them knowledge usually learned over decades quite quickly. Using this knowledge, they can create an army of interns with the knowledge of Ph.D.s and decades of business experience.
Customization - fine-tuning does not stop at factual knowledge. AI bots will be trained to understand your products in depth, your customers’ pains and motivations, and your company's unique style. The headache of prompting will be history.
Your custom AI is a game-changer. But the world doesn't stand still. A model that has no knowledge beyond September 2021 is kind of like the iPhone 4. It was great in its time but pretty useless now.
That may be a bit of an exaggeration, but that's why the future will be all about self-updating bots. I want my AI not just to be smart but to constantly get smarter through analyzing my interactions and keeping track of the latest publications.
A model that is always learning is always changing and growing. This makes bias much harder to identify, track, and eradicate. If an AI bot is updating itself, will it be able to prevent itself from learning a bias from the training material?
What if your AI could do more than just answer questions? Instead of a tool to help employees with their work, it could actually get things done. From start to finish. All on its own. That’s what we call autonomous agents.
This is how it works: you set a goal, and your autonomous AI agent maps out the steps, executes the tasks, and delivers results. Right now, this is being done with varying levels of success and frequent human oversight. But as it develops, it will free up human resources.
The possibilities for autonomous agents are endless. In healthcare, they could manage patient records and schedule appointments, while in manufacturing, they could oversee quality control and manage supply chains.
The future isn't just smart AI, models also need to execute.
The real challenge for autonomous agents is their ability to make intelligent, reliable decisions. Can they be trained to do that? I think so…
The Human Cost
No doubt, AI is super exciting.
But what’s it going to do to our society? To our economy?
While I don’t really believe we are on the road to a zombie apocalypse, I do think that there are tough times ahead. The conflict of “the 1%ers” will intensify.
Unemployment will rise before it falls.
Wealth inequality will greatly increase.
AI access will dictate the power divide.
Are we on our way to an even more fractured society? I sure hope not; what do you think?
by Yoni Grysman on September 19, 2023
Yoni is our Director of AI marketing solutions and senior marketing strategist. He is certified by the AI Marketing Institute and as a HubSpot trainer. Yoni helps companies adopt generative AI tools in their tech stack and works with AI generated content to produce the ultimate assets in record time. Yoni runs marketing strategy for clients from various industries, including automotive tech, cybersecurity, finance and more. Yoni’s not-so-secret marketing secret? Everything in marketing comes down to goals and audience. If you don’t know who you’re talking to and what you want to achieve, you’re shooting in the dark.