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By this point you may understand that building or enhancing your features with generative AI would increase the value delivered to users and help you fend off existing or new competitors, but are wondering, how do you make a go no-go decision on this or prioritize it above other items on the roadmap.
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Pandora’s BoxLooking back over the past 10 years we can see a graveyard of technology that received huge hype, but ultimately never became “a thing”. Whether it failed to cross the chasm or its adoption is still simply too early you can visualize exactly what I am talking about.
What’s more, every time a new hype cycle started there were people in every organization screaming that the product was going to be left behind and the organization was doomed if it didn’t embrace the wave. Years on, can you imagine what a complete flop your product would have been if you had gone all in on experiences in VR, issuing NFTs for the most inconsequential things or even fully integrated bitcoin into your checkout experience? While it would be easy to deal with the distraction of generative AI, whether annoying or anxiety inducing, by mentally putting it in this graveyard, it would be foolish. Pandora’s box is open. Anyone with an hour of time, google and some curiosity can see that this new generative AI technology is:
I spent an entire day searching for the best examples of GPT-enabled technologies but found mostly repetitive Twitter posts hyping them up without showcasing their true capabilities.
A friend mentioned that it's only a two-month-old technology, so we should be patient. However, I believe engineers and tinkerers are already working on projects involving this technology. My experience was quite deflationary, as it felt like there was more smoke and mirrors than substance—similar to some crypto-related content on YouTube. Determined to understand its potential better, I decided to write code myself and experiment with a GPT agent on my personal devices. When discussing the technology with people in enterprise environments, they often dismiss it as merely replicating secretarial tasks. This undervalues the skills required for jobs such as cohort analysis, copywriting, graphic creation or sentiment analysis—all of which could potentially be impacted by GPT agents. As I continue exploring this emerging field, I remain cautiously optimistic about its future applications and implications in various industries. |
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