How AI Could Take Over Remote Jobs

In "Unleashing AI in the Remote Work Revolution" last year, I highlighted how generative AI was beginning to reshape productivity in hybrid and remote teams. 

The key insight was that remote work, being inherently digital, could benefit significantly from AI, which thrives on data. Today, this prediction seems more accurate than ever, with "power users" of AI reaping substantial benefits and more companies adopting AI.

However, there’s a growing threat that we cannot ignore.

In a recent Harvard Business Review article, Professor Matt Beane emphasized how remote workers now face unprecedented threats from generative AI. 

This development could mark a significant turning point in our thinking about remote work and underscore the urgent need to reassess business and people strategies.

So, let’s dive in.

The Advances of AI in Replacing Work

The conversation around AI replacing jobs is no longer hypothetical. 

But while, historically, automation primarily impacted blue-collar jobs, leaving white-collar roles relatively untouched, that reality is rapidly changing.

Consider the case of Klarna, which replaced 700 employees with AI, or the recent layoffs at Intuit and UKG, which were driven by the need for AI talent. 

Studies show that jobs exposed to generative AI, such as customer service, writing, and blockchain engineering, can see productivity boosts of up to 50%. (See all AI statistics here.)

This trend is not isolated to a few sectors; Microsoft reported that 75% of employees use generative AI tools, a figure that has doubled since January. Additionally, Asana and Anthropic's research highlights that over 50% of knowledge workers use AI weekly.

Why AI Threatens Remote Work

According to Professor Beane, generative AI is poised to disrupt remote work more than any other domain because fully digital tasks are highly susceptible to automation, posing a significant risk to job security for remote workers.

Dror Poleg's model illustrates a symbiotic yet potentially negative relationship between remote work and AI. 

He explains:

“A 'negotiation' of this kind would not have been possible a few years ago when business was conducted in person or over the phone. The chat interface that was originally introduced to enable humans to handle multiple conversations in parallel is now used by powerful chatbots that can handle millions of them in parallel and converse like a human.” — Dror Poleg, Author and Expert on Future of Work

In Lead with AI, we often discuss how this shift means that many remote tasks—especially general, error-friendly, and digital (G.E.D. work)—are now prime candidates for automation.

• General: The task doesn’t require any deep specific skills or software to complete, like advanced graphic design or in-depth data analysis.
• Error-Friendly: The prompter welcomes a first draft that still needs to be fact-checked. There’s no expectation of a final, error-free work product.
• Digital: The work at hand doesn’t require anything done in the physical world. 

Over the past year, we’ve eradicated much of the G.E.D. work we were doing in our company and outsourced it to AI, including copywriting of long-form content, podcast editing, and administrative work.

I shifted to this operating method based on conversations with experts like Stanford professor Nick Bloom. In my conversation with him last year, Nick mentioned how hybrid work is perhaps the real future, as it does the one thing AI can’t do: show up in person:

“It always tries to replicate you. I could probably replicate your voice and maybe fool someone for a little bit. I could never physically replicate you. There's nothing even close to it.” – Nick Bloom, Professor at Stanford University.

What We Need to Do

The implications of generative AI on remote work are profound and complex. 

The primary concern is for employees to be rapidly unskilled and reskilled. As AI websites take over routine tasks, companies should support people in developing new competencies to manage and collaborate effectively with AI tools. 

This includes learning to delegate tasks to AI, provide clear instructions, and evaluate AI performance. Without these skills, workers risk being left behind, as 66% of employers already prefer hiring individuals with AI expertise.

For businesses, the challenge is twofold: implementing AI technologies while simultaneously investing in the development of their remote workforce. 

Remote workers must continue to use AI, but exclusively for specific, high-skilled work that leaves no room for errors, even if that’s done digitally.

Failure to address the reskilling needs could lead to a productivity paradox where AI’s potential is not fully realized due to a lack of human-AI synergy. Matt Beane emphasizes that companies must prioritize learning and development to navigate this transition successfully.

The Bottom Line for AI in Remote Work

The urgency of addressing AI's implications for remote work cannot be overstated. 

Remote work remains a substantial benefit and a critical element of a robust Employer Value Proposition. Remote work benefits include significantly boosted retention, productivity, work-life balance, and environmental impact.

However, to ensure remote work's continued viability, ensure that remote employees are at the forefront of AI adoption and skill development, through:

1. Immediate Reskilling: Help remote workers acquire new skills to manage AI tools effectively and maintain their relevance in the evolving job market through non-G.E.D. work.
2. Strategic Investment in Training: Invest heavily in training programs focused on AI-specific skills to harness AI's full potential while supporting the workforce. (See our recommendations for the best generative AI courses.)
3. Proactive Business Adaptation: Integrate AI advancements into business strategies proactively to stay competitive and future-proof the organization. As Intuit advocates: “disrupt yourself.”

Encourage immediate action and continuous learning within your organization to navigate this transformation successfully. 

Until next week,

– Daan