Few years ago, the headlines were filled with promises of sentient machines and overnight revolutions. The reality that followed has been more nuanced and more human.
Yes, generative AI experienced explosive growth. Breakthroughs in large language models like GPT-4o, Claude, and Gemini have redefined what’s possible and rewritten the digital playbook. But with those advances came challenges: misinformation loops, hallucinations, massive compute demands, and complex ethical dilemmas. The initial hype cycle is giving way to something more mature, a period of critical engagement and reflection.
Then (2022): “AI will take your job.”
Now (2025): “How can AI augment your expertise—without compromising human agency?”
We’ve come to understand that technological maturity doesn’t eliminate uncertainty. Instead, it sharpens the questions we ask and deepens the conversations we need to have.
