The Secret to AI Profitability: Hire More PhDs (and Maybe a Few Farmers)

AI’s future isn’t just about fancy algorithms – it’s about the brainy experts behind the scenes. While we’re all busy teaching our devices to recognise our cats (again), there’s a global army of data experts working on some seriously complex stuff – like training AI to detect early-stage cancer or identify poachers in the bush. And no, it’s not happening in Silicon Valley. It’s happening in places like Bhutan, Kenya, and Kazakhstan, where PhDs (and some very skilled farmers) are shaping the future of AI.

Why are these “AI doctors” so important?

Because building super-smart AI isn’t just about feeding it data and hoping for the best. It’s about precision. AI needs to be trained to handle complicated, high-stakes stuff – like diagnosing medical issues or operating drones in a war zone. And guess what? Those AI models aren’t getting any better without a lot of human brains on the job.

Take iMerit, a company in Bhutan (yes, Bhutan!), where experts like Yeshi Wangmo (a former farmer) are helping algorithms learn to identify weeds in fields with way more accuracy than your average human. The results? Smart AI that helps farmers reduce pesticide use by up to 90%. It’s saving both the planet and the wallet.

And it’s not just the farming world:

In Kazakhstan, AI is being trained to detect early lung cancer, while in India, linguists are getting AI up to speed in languages like Hindi and Tamil. Meanwhile, big names like Netflix and even the FBI are leaning on companies like Datasaur to train their AI systems with pinpoint precision.

The big problem: AI has to be right, or people can get hurt.

Imagine your self-driving car’s AI goes rogue – not great. Or an AI tool misses a sign of cancer in a CT scan – even worse. This is why the AI industry is desperately hunting for specialists to train their models. And no, these experts aren’t paid peanuts anymore. In India, a radiologist working on AI for just a few hours could earn $1,200. That’s not bad for a couple of hours training a life-saving AI, right?

The bottom line?

While some still argue AI is making the little guy expendable (after all, data labelling was once a minimum-wage gig), the reality is that more specialised data experts are in high demand – and they’re paid a lot more than the average coder. With AI becoming more integral to industries like healthcare, defence, and even trucking, there’s no shortage of high-stakes tasks needing skilled hands to guide these machines to perfection. Whether it’s saving lives or keeping trucks from crashing, these AI experts are the unsung heroes of the future.

So, to make your AI profitable? Get more PhDs, and maybe a few farmers too. You’d be amazed at how much they can teach a machine.

Source Info: https://www.moneyweb.co.za/news/ai/secret-to-ai-profitability-is-hiring-a-lot-more-doctorates/