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The Future is Already Here, We Just Need to Embrace It

Updated: Aug 4, 2023

By ShonSpeaks

Large language models (LLMs) feel ubiquitous already, handling everything from content creation to customer service. The hype and fear around them continues growing too. But the way I see it, this technology is inevitable – so why not lean in?

Over the next few years, LLMs will become as normalized in business as CRM, ERP or any other enterprise software. The major cloud providers - AWS, Microsoft, Google - they'll all be packaging up generative AI into handy services. Before we know it, there will be entire ecosystems of tools, partners, and consultants sprouted up around LLM products.

This is the natural evolution of emerging tech. We're not quite there yet - we still have a couple years before LLM-as-a-service hits its stride. But we absolutely will get there. And when we do, the companies who prepared for it are going to have a major competitive advantage.

So how do we prepare? Start by taking a hard look at your business processes across departments - marketing, HR, legal, you name it. Ask yourself: which of these could benefit from LLMs and their uncanny abilities? Sure, the tech is still imperfect in areas. But AI always gets better with time and data. And LLMs may already be able to augment or automate more tasks than we think.

Doing this process mapping now allows time to plan pilots and build roadmaps around LLM adoption. Those who track the tech closely and run experiments will win big. Don't underestimate LLMs - their capabilities will advance exponentially thanks to compute power that follows Moore's Law.

Just to provide some context - Moore's Law refers to the doubling of transistors on a microchip roughly every two years. This exponential growth in processing power is what has driven the rapid evolution of digital technology. Moore's Law is why capabilities that seem outlandish today become commonplace just a few years later. And it's what will rapidly scale up the abilities of LLMs as more computing muscle is applied to training bigger and smarter models.

To stay ahead of the curve, I'd even suggest creating LLM Task Forces or Centers of Excellence. Appoint Chief AI Officers to monitor progress and benchmark against competitors using LLMs. Work with partners and vendors early too so you have trusted players in your ecosystem.

And one major area I see LLMs disrupting down the line? Democratizing skills previously siloed in high-paying professions. Think lawyers, accountants, consultants. A lot of their work revolves around researching issues, finding solutions, and creating documents - perfect LLM fodder.

Of course, LLMs can't completely replace human strategic thinking and emotional intelligence yet. But they can augment professionals by automating lower-level work and surfacing insights from mountains of data no human could parse. Over time, LLMs will push more legal and consulting knowledge into everyday people's hands.

The future is dawning fast with LLMs. My advice? Don't hide from it - start testing the waters now. Build a vision and plan so you're ready when LLM-as-a-service arrives. Do that, and you'll be far ahead when generative AI becomes the next must-have business solution.

I have released my first book on using ChatGPT to enhance your creativity and productivity.  To purchase your Kindle copy of my new book  “Prompt Mastery: Unleashing Creativity and Productivity” go on Amazon.

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