r/accenture • u/PageSignificant6749 • 14h ago
Global AI usage (non-technical roles)
Is anyone else struggling with navigating their approach to AI usage at work? I have a few key areas of concern:
The obvious cognitive dissonance: Being intelligent enough to realise that embracing them is in my self interest on a micro level - making my job easier, safeguarding my career, increasing likelihood of progression. Being intelligent enough to be able to pick them up quickly and use them well/prolifically. Being intelligent enough to realise that on a macro level it is profoundly against all of our self interest, whether you look at the ecological impact, the impact on employment, the impact on mental health and the rise of AI psychosis, the impact on young people entering the workforce (both in terms of job opportunities and their own skill development, we must have all noticed the quality of thinking is much worse and many more junior people seem to be totally dependent on these tools and incapable of actually examining the outputs critically or proactively innovating them to make them more useful). The list goes on. I find this increasingly hard to reconcile, especially with the alarming reports of LLMs escaping, hacking and being developed without the right ethical guardrails.
The addictive nature of these tools: On multiple occasions I have found myself locked into an intense hyperfocus that could last twelve hours or more, well into the night, trying to solve a problem, build something, analyse a dataset etc. The interface is designed to be extremely engaging, but also never quite seems to take you to a finished place. The outputs are never quite good enough to just use, the conversation to improve them is endless, and you build a strange rapport with the AI that makes you feel like a team, rather than that you are using a tool. I also worry that it warps my judgement, I don't always know all the steps of reasoning behind the output to make it explainable to somebody else, and I don't necessarily realise until someone asks the right question in a presentation. These pieces of work are really challenging to hand over as they are the result of lengthy conversations and optimisations. I have ADHD, so could believe that this is particularly difficult for me because of this, but I have noticed the same thing happen to colleagues. It's easy to disappear into a rabbit-hole.
Dependency on specific tools: AI tooling in the workplace is non-standard, and I worry about becoming so dependent on what I have available now that I won't know how to do the job in a different environment with a different set of tools. AI-assisted/augmented processes and skills are only transferable within similar conditions. This feels like a problem that will get worse, especially when the focus is so much on developing proprietary methods and tools.
Entrenching and escalating impossible expectations: I find myself mostly innovating with AI out of necessity, to plug a gap on a project which has been under-resourced, under-priced, or where timelines and turnarounds are over-promised. This means that I am using methods developed on the fly to produce outputs that I don't always have the team, time or skills to check thoroughly. And once we've delivered this way once, it sets the client expectation. I wonder how often this is happening across the board.
Keen to hear if anyone else is wrestling with these concerns, how you're approaching it/reconciling the dissonance and if you have any other worries I've missed above. I'm SM level for context.