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Home»Geopolitics»Who picks up the tab for AI’s unbridled genius? — Global Issues
Geopolitics

Who picks up the tab for AI’s unbridled genius? — Global Issues

primereportsBy primereportsAugust 3, 2026No Comments6 Mins Read
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Who picks up the tab for AI’s unbridled genius? — Global Issues
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  • Opinion by Daud Khan (rome)
  • Monday, August 03, 2026
  • Inter Press Service

ROME, August 3 (IPS) – For the last few years, Artificial intelligence has been making increasingly intrusive demands for our attention. It burst onto the scene like a child prodigy, enthralling us with feats of brilliance. With consummate ease, it removed drudgery from our tasks and began helping us achieve our personal and workplace objectives.

Who picks up the tab for AI’s unbridled genius? — Global Issues
Daud Khan

But AI has now grown into an unruly adolescent. It is disrupting how we work and think; it is demanding constant attention; and it is distracting us from other important activities and tasks.

As is the case with adolescents, there have been calls to set rules and regulations on AI, applying appropriate limits on what AI can and cannot do. The aim being to allow us time to deal with its immediate impacts on, for example, the jobs market, on media and communication, and on its military use.

But would government imposed regulations solve the problem? The answer is no for several reasons.

Firstly, there is the siren call of easier access to vast stores of knowledge, top quality writing skills and polished images and infographics. It is hard to resist the temptation to delegate boring tasks to AI, such as drafting emails that respond to routine messages. From there it is a slippery slope towards AI writing our university or job applications, office memos, or manuals and instructional content. However, these are tasks that define who we are and how others perceive us. And this reliance on AI kills creativity, individuality and human relations – there is no longer a turn of phrase or a spelling mistake that makes the message special.

Just ask yourself: would you rather get a handwritten note of appreciation from someone who works for you or who you supervise, where some words are illegible and the paper is smudged; or an email with perfect grammar that you know they are not capable of authoring?

Secondly, AI Psychosis is becoming a pervasive disruptor of social relations. AI models are purposely designed for “engagement farming” – a fancy term for hooking people into an ever-increasing reliance on these services. It achieves this through sycophantic responses that feed one’s ego or anxieties, releasing endorphins and creating a craving for more.

We can now access gratifying, yet wholly synthetic, social interactions at our fingertips via chatbots. Consequently, we risk crafting individualised reality bubbles that are unchecked by the social norms we experience in the real world. Will it become easier and more pleasurable to interact with an intelligent machine to fulfill our need to talk, to discuss books, or for emotional engagement without fear of rejection – at any time of day or night?

Thirdly, if we allow machines to shape our thoughts and emotions, we risk destroying diversity of opinion, crushing creativity and resulting in a unified, monolithic narrative that is controlled by the megacorporations providing these AI services.

Pope Leo XIV expressed this concern in his recent encyclical where he warned of “the idolatry of profit that sacrifices the weak, a uniformity that neutralizes differences, and the pretense that a single language — even a digital one — can translate everything, including the mystery of the person, into data and performance”.

Lastly, it is essential to consider how the mismanagement of AI has the potential to drive a further wedge between rich and poor populations. The Pope cautions us of being misled by “a technology that promises to free us from all weakness, and models of wellbeing that leave behind entire populations”.

Increased focus is being placed on the impact of data centers within local communities, given their inordinate usage of electricity and water and the constant noise pollution these facilities generate. At full capacity, processing a daily 10 billion Gigabytes of data, a 100 MW data center consumes up to 2.4 million KWh of electricity and 2 million litres of water per day – more than a small city.

The human brain can process 74 Gigabytes of data while sipping a tiny 0.3 KWh of electricity (260 calories or 12% of total daily energy intake). Our bodies require a daily ration of 2.5 litres of water to function normally. Contrast this with preparing a 100-word email using ChatGPT, where each prompt-and-response interaction consumes the water in a standard 500 ml bottle. Even from a strictly environmentally-conscious viewpoint, surely it would be better to use our brains for this instead?

However, whatever our concerns, the genie is out of the bottle and there is no going back – we must learn to use AI properly. We need to better understand its limitations and where it delivers greatest impact, given the resources required.

AI should not be seen as a substitute for human expertise but instead complementary to it. Indeed, the more expertise one has in any given field, the more valuable a contribution AI makes. Experts can better formulate more pertinent questions and redirect the conversation should the AI meander off course. Experts also detect errors more easily in what may appear to be perfectly valid responses.

It is essential that we encourage people, particularly our young people, to continue learning and perfecting their chosen crafts, ignoring the wild marketing claims that various professions have been largely solved by AI already. The more knowledge and expertise the younger generation can build, the more judiciously and selectively they can deploy AI in their work and for society’s future benefit.

Daud Khan is a retired UN staff based in Rome. He has degrees in economics from LSE and Oxford, where he was a Rhodes Scholar; and a degree in Environmental Management from Imperial College London.

Thomas McMahon is a Data Engineer who specialises in developing bespoke AI systems for UN agencies.

IPS UN Bureau

© Inter Press Service (20260803064944) — All Rights Reserved. Original source: Inter Press Service

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