๐ง Why are engineers hindering AI adoption? | Antony Kelly
Originally published on LinkedIn
๐ง ๐๐ก๐ฒ ๐๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ฌ ๐ก๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐๐ ๐๐๐จ๐ฉ๐ญ๐ข๐จ๐ง?
๐ง ๐จโ๐ป ๐๐ ๐ฒ๐จ๐ฎ'๐ซ๐ ๐๐ง ๐๐ง๐ ๐ข๐ง๐๐๐ซ: whatโs holding youโor your teamโback from going all in on AI?
๐ผ ๐๐ ๐ฒ๐จ๐ฎ'๐ซ๐ ๐จ๐ง ๐ญ๐ก๐ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ ๐จ๐ซ ๐ฅ๐๐๐๐๐ซ๐ฌ๐ก๐ข๐ฉ ๐ฌ๐ข๐๐: what do you think is really going on here?
I'd really like to know, I'm an engineer and love it, and I just don't get it!
In my opinion, ๐๐ ๐๐๐ง ๐๐จ๐๐. ๐๐ ๐๐๐ง ๐๐๐๐๐ฅ๐๐ซ๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐๐ง๐ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ๐๐ฌ across the whole lifecycleโanalysis, design, support, implementation. Itโs not just about co-piloting code anymore. The potential to transform the way we build software is massive.
So my question is: ๐ฐ๐ก๐ฒ ๐๐ซ๐๐งโ๐ญ ๐ฆ๐จ๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ฌ ๐๐ฎ๐ฅ๐ฅ๐ฒ ๐๐ฆ๐๐ซ๐๐๐ข๐ง๐ ๐ญ๐ก๐ข๐ฌ?
It seems like a no-brainer. ๐โ๐ฆ ๐ก๐จ๐ง๐๐ฌ๐ญ๐ฅ๐ฒ ๐๐ซ๐ฎ๐ฌ๐ญ๐ซ๐๐ญ๐๐. I want to build bigger, better, and fasterโlike everybody else. Honestly, I thought weโd be much further along by now. And I think many business leaders thought the same. But the results havenโt fully materializedโand instead of asking why not, some engineers use that gap as proof that AI canโt accelerate delivery. Iโd argue the opposite: itโs not that AI canโt accelerate usโitโs that weโre not using it effectively. Or consistently. Or ambitiously enough.
So again: ๐ฐ๐ก๐ฒ ๐ข๐ฌ ๐ญ๐ก๐๐ญ?
๐จ Fear of change?
๐ง Fear of being replaced?
๐ Comfort with the status quo? โฑ๏ธ Lack of time to properly explore the tools?
โ Something else?
In a recent article, I explored and defined this as the problemโbut I didnโt really dig into the ๐ฐ๐ก๐ฒ๐ฌ. Thatโs what I want to understand better now.
๐๐ก๐๐ญโ๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐ฏ๐ข๐๐ฐ? ๐ฌ
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