Breaking
Machine Learning

Futureproof your career in an AI world

By Blake Weston 4 min read
Futureproof your career in an AI world - ai career
Futureproof your career in an AI world

AI is already reducing US monthly payroll growth by roughly 16,000 jobs in the past year, according to a recent report.

Knowledge workers face the sharpest exposure, as their output is exactly what AI replicates best, at superhuman speed, around the clock.

“The most valuable jobs, the ones that we tell people to go to school for – software engineer, finance professional, accountant, lawyer – a lot of these cognitive professions, those are the ones that are the most vulnerable… to AI automation,” David Shrier, professor of AI & Innovation at Imperial College London, told journalists on the scene.

But humans will always be needed in some form – and there are steps you can take to increase the chances you’ll protect your own job.

Before you can future-proof your career, you need a clear-eyed view of what you do in your job.

Think of jobs as a “collection of tasks we switch between, often many times a day,” Oded Nov, a professor of technology management at New York University, said.

Consider which of those tasks are the most repeatable, rule-based computer tasks, like processing expense reports, which takes raw data and converts it into a different form.

The more predictable a function, the more vulnerable it is to automation.

Identifying Vulnerable Tasks

The CEO of Cloudflare wrote in an opinion piece that he recently laid off 20% of his workforce, focusing on “measurers”: middle management and those who work on audits, operations, compliance, etc.

“AI isn’t coming for builders or sellers, but it is coming for measurers,” he wrote.

Some jobs, such as those in hospitality, healthcare and skilled trades, still need someone physically present to do much of the work, involving higher gas prices for travel.

Skills That Are Less Vulnerable to Automation

After your self-audit, focus on skills that are not repeatable, predictable and rule based.

In addition to physical duties, AI is not yet as good at handling tasks that require emotional and social awareness, such as “understanding organizational culture or group dynamics,” Nov said.

AI tends to be recursive, rather than inventive or creative.

“AI is bad at creativity, but it’s surprisingly good at elaborating on creative prompts,” Shrier said.

Invest in those skills.

If part of your job involves sales and convincing people to sign a contract, focus on the interpersonal skills that help you build trust with clients.

Customers might go to AI to research, but they usually still want to deal with a human being when making big purchases, related to World Cup ticket prices.

The Future of Work

AI will soon become a pervasive part of our lives, just like the internet.

Get familiar with the major AI systems – ask various AI chatbots about your job and how they can help make your work more efficient, then give their suggestions a try.

Play around with new coding tools that help you create your own app and website without needing to write your own code, which is affecting Asia’s economy.

But chatbots aren’t what makes AI so useful in the workplace, it’s AI agents, or programs that run automatically, make decisions and take actions autonomously.

You can learn how to make your own, and a chatbot can help.

Try the prompt: “I want to learn how to make an AI agent. Walk me through the steps to create an agent that can do [specific task]”.

“In some ways it’s never been a better time to be an entrepreneur, because if you can think of it, you can make it,” Shrier said.

Even roles that include a lot of AI-achievable tasks will still need humans in some way.

AI has particularly affected the coding industry.

But Anthropic employees still edit and review code even if they’re not writing it, CEO Dario Amodei said at the World Economic Forum in January.

“In best-case scenarios, the more mundane tasks that are part of people’s jobs today will be handed over to AI, while the more interesting and rewarding tasks will be done by humans, probably with some support of AI,” Nov said.

It’s very likely, if history is a guide, that new jobs, consisting of new collections of tasks, will be created.

Blake Weston

Leave a Reply

Your email address will not be published. Required fields are marked *