To get employees interested in AI, some companies have encouraged workers to “play” with the technology just as they would in a sandbox.

One drawback is that playtime is getting expensive, as workers rack up serious bills for their AI usage. 

Uber is the latest company to put a cap on AI, limiting monthly spending to no more than $1,500 per worker for certain coding tools.

Meanwhile, Pope Leo XIV weighed into the debate about AI in the workplace in his first encyclical released last week. He had some stern warnings about the rapid expansion of AI in the world of work and the risks it poses to humanity.

“Artificial intelligence needs to be disarmed,” the pope said in his address. “The word is strong, I know, but deliberately chosen because this moment needs words capable of attracting attention, awakening consciences, and indicating paths forward for humanity. Artificial intelligence now demands to be disarmed, freed from logics that turn it into an instrument of domination, exclusion, and death.”

His concerns mirror many of the moral and ethical debates already happening in workplaces all across the US, as employers and their HR teams navigate how employees experience and produce work with AI.

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AI skills: AI has influenced the accounting profession.

Job postings requiring AI skills have proliferated at the Big Four over the past year, according to the Financial Times.

Staff at the newspaper examined 50,000 job listings at Big Four firms in English-speaking countries between January 2020 and January 2026. In 2025, they found, there were more than twice as many job postings where AI skills were a core requirement (nearly 7%) as there were listings for audit jobs (almost 3%).

Many of the job postings that mentioned AI as a requirement appeared to be for non-accounting roles, such as “generative AI engineers and machine learning experts in data science,” the FT observed. But others were accounting-related.

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AI won’t save it.

If your follow-up depends on memory, you’re leaking revenue.

No one’s memory is good enough to replace a system.

Tech isn’t your enemy. Poor strategy is.

The problem isn’t AI. It’s not knowing how to use it to help you win.

The inbox is becoming a storefront.

Buyers will soon take action without leaving the thread. The old sales cycle is getting cut in half.

If you don’t own the relationship, AI won’t save it.

Automation works best when it enhances what’s already there. Not when it tries to fake what’s missing.

Your Next Sale Might Start in Gmail

Gmail isn’t just email anymore.

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Your past buyers are your future income.

Google knows who they are. So should you.

Smarter follow-up wins.

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AI isn’t removing human connection.

It’s rewarding the ones who already built it!!

Is cold email broken??

If your cold emails aren’t working, the problem usually isn’t the copy, the tool, or the sender reputation.

 

It’s that you don’t know what phase you’re in.

 

Let’s break it down…

 

Phase 1: No replies at all.

 

This is the “shouting into the void” phase. When you’re not even getting unsubscribes, it’s almost always a deliverability issue. 

 

Fix inbox placement first. If that’s solid, simplify the message. Clear messaging beats clever every time.

 

Phase 2: Only negative replies.

 

“No thanks.” “Not interested.” This is actually progress. 

 

Your emails are landing and being read. The issue is you don’t have context yet. 

 

Break the email into the problem, the value prop, and the CTA, then test each until you start learning why people are saying no.

 

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“We already use X.” “Wrong person.” “We’re too small.” These replies are gold. 

 

They tell you exactly how to adjust targeting, positioning, or qualification.

 

Cold email isn’t broken.

 

You’re just too focused on immediate meetings. Instead, move one phase forward at a time.

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