AI: It’s More Than Just a Buzzword
You’ve heard the buzz. ChatGPT, Google Bard, and the rest of the gang of large language models (LLMs) have been making waves since their launch in late 2022. They’ve been splashed across every media outlet, sparked a frenzy of discussion, and caused corporate giants to rethink their game plan1.
People are now demanding answers. “What’s your AI strategy?” they ask. “What’s your take on ChatGPT?” And most importantly, “What does this mean for us, the workers?”
LLMs: Pawns with Potential
In the grand chessboard of the market, think of LLMs as your pawns. Seemingly insignificant, but with the potential to become a game-changer if played correctly. But remember, they’re just one piece of the puzzle.
To truly leverage LLMs, you need to grapple with the issue of authority. On the surface, LLMs seem pretty impressive. Give them a prompt like “Create an AI strategy”, and they’ll spit out a response that’s shockingly articulate. But here’s the catch: they’re simply repackaging existing information. They can’t actually provide you with the real answers.
The Rest of the Chessboard
But let’s not forget about the other pieces on the board: deep learning, reinforcement learning, autonomous AI, machine teaching, sentiment analysis, and so on. These pieces might not have the same public recognition as LLMs, but they have their own unique and practical applications that shouldn’t be overlooked.
The Vision Comes First
Ultimately, strategy alone won’t cut it. You need a clear vision of your organization’s future. How do you see your market evolving? And no, you can’t just rely on trend forecasts or data from Gartner or IDC. This is a task that can’t be outsourced. It starts with the tough question: “What future do we want to create?”
In conclusion, LLMs and other AI technologies are powerful tools. But they’re just that – tools. They aren’t the end-all-be-all. They should serve your vision and strategy, not the other way around.
