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The Top Technology is AI for 2025, 2026, 2027…

Each year technology prognosticators, the wannabe fortune tellers of tech, publish lists of technology to watch, technology they are watching, or technology they want us to watch. Most of the lists are interesting, if for no other reason than to inform your own tech radar. Many of the lists are good, informative, and worth taking 10 minutes to read. Of course, some tech lists are just long advertisements, we know who writes those. However, this year several tech lists lead with or at least include something Artificial Intelligence-related, and there are good reasons AI is on so many lists.

As an old-school engineer, I have witnessed many AI bubbles, dreams, ambitions, and sales pitches fall flat, then fade into the background until the next Ponzi Voodoo iteration brought AI back from the dead. Reaching back just a couple of decades, our friend Siri was going to evolve so quickly that you would not have to plan your day, Siri would just tell you where to be and when. For some of us, the very lite version of that future evolved, but for most of us Siri just reduced the amount of time we spent typing.

Today, AI has grown-up, and that growth is why it is the top technology for 2025 and will be for the foreseeable future. While AI will not solve every problem, get every answer right, or immediately reduce work and therefore costs by 80%, as some sales pitches want us to believe, AI will be as ubiquitous as electricity before the end of this decade.

In the coming three years AI will be included in or influence everything from your coffee maker to the route an airplane flies, and most things in between. Some readers will nod their head in the affirmative when reading that last sentence and some will roll their eyes thinking, AI is just a feedback loop that can never deliver all the promises private equity owners are selling today. If you do not think AI can deliver, yours will be one of the jobs that gets replaced.

Understanding or at least accepting the full force evolution that AI is accelerating through as you read these words, might cause you to wonder, which AI will win, which AI is risky, or which AI will fail. The short answer to future AI questions is all of them, none of them, and you cannot know that today. The future of AI is a known unknown. We know AI will continue evolving at a faster rate than microprocessors and AI has already outpaced Moore’s Law by orders of magnitude. However, we do not and cannot know the precise moment AI moves from a technology into ubiquity. In other words, when AI moves from being a thing that people are paying a lot of attention to into a thing that people no longer think about like electricity, they just assume its there.

The question for many technology organizations is, which side of the event will you be on when AI evolves to the status of electricity? If you do not know, you should find people to advise you, to help you learn, and to move your organization closer to our AI reality. By the time the dates on this article no longer matter January 01, 2027, AI will be. Period. Are you ready for AI everywhere and anywhere?

One final thought about AI for 2025, 2026, and beyond. I purposefully did not list any AI by name. There are interesting AI models and applications emerging each week. Any one, two, nine of them could overtake the top 10 AI models today. The takeaway today is not to bet on any specific model, rather look for ways to include a variety of models in your organization to fit specific needs. Yes, AGI is a goal, however AGI may turn out to be like owning a set of encyclopedias when all you need to do is start the coffee maker. Yes, the coffee AI might be the thing that replaces your favorite or least favorite barista. This is just one of the known unknowns of AI.

 

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AUTHOR BIO
Dr. Mike Lewis serves as Chief Information Officer, EVP of Informatics, Security & Technology for Trillium Health Resources, a managed-care organization serving more than 350,000 members in North Carolina. He earned his Doctor of Management degree from George Fox University and is a former MBA adjunct professor at Maryhurst University. Mike has worked in the IT field for more than 25 years with stints at IBM, Merisel, and Dell.

 

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