AI at a Pace the World Can Absorb

I was having dinner with a friend recently, talking about AI and why I'm excited about what it can do.

We discussed the opportunities to eliminate repetitive work, help businesses make better decisions, and give people more time to focus on work that benefits from their experience and judgment.  

But the conversation also turned to harder questions.  

What happens to jobs?  How do businesses and the economy adjust?   What are the implications for safety?  And as these systems become more capable, what could the consequences be for humanity? 

I'm enthusiastic about AI.  I also think those questions deserve some serious attention. 

We talked about the warnings coming from some of the people building it.  In 2023, leaders including Sam Altman, Demis Hassabis, and Dario Amodei signed a statement calling for the risk of extinction from AI to be treated as a global priority.  That doesn't establish what will happen but gives us reason to take the discussion seriously. 

As we dug deeper, my friend brought up the movie Chain Reaction. 

The 1996 thriller centers on a clean-energy breakthrough and a struggle over controlling its release, with fears about disrupting the existing economy.  One line captures that tension:

"You let it out, but you let it out at a pace the world can absorb."

That stayed with me.  It put into words how I feel about AI. 

The comparison raises a question: what happens when a powerful breakthrough moves faster than people and institutions can adapt?  With AI today, that includes how we change work and prepare employees.  Looking ahead, it raises bigger questions about how much authority we give these systems and whether our safeguards can keep up. 

Self-driving cards and AI-powered robots bring that question into the physical world.  The potential is exciting: greater independence for people who can't drive, help with physically demanding tasks, and fewer people exposed to dangerous work.  

But when a system drives a vehicle or operates alongside people, a mistake can have immediate physical consequences.  How do we determine when it's ready?  Who is accountable when something goes wrong?  And how do we build trust through demonstrated safety?  

As these technologies become more capable, "a pace the world can absorb" takes on another meaning.  We need time to establish their reliability, prepare for changes to jobs, and decide where human oversight remains necessary.  

This hits close to home for me.  At Aqueity, we help clients implement AI solutions.  I'm actively encouraging businesses to explore what this technology can do, and that gives me a responsibility to think carefully about how we introduce it.  

The human side comes up in client conversations too.  Excitement about the possibilities can sit alongside uncertainty about what AI will mean for employees and how the business will adapt.  

That's understandable.  It's one thing to see the value of automating a process.  It's another to be the person whose work is about to change.

As leaders, we need to make room for both perspectives.  If we automate a significant part of someone's job, what comes next for that person?  Have we given them time and support to develop new skills?  If we let AI take action on our behalf, do we understand the consequences of a mistake and who is accountable?  

A business can be ready to purchase an AI solution before its people and processes are ready to use it well.  

For me, moving at a pace we can absorb means matching implementation with preparation.  

Give people training and clarity.  Test the technology.  Understand its limits.  Increase its autonomy as we establish that it works reliably.  

Some applications can move quickly.  Others deserve more scrutiny because the consequences of getting them wrong are greater.  

Of course, that principle becomes much harder to apply across an entire economy.  

Who decides the right pace?  How do we distinguish a legitimate need for safety from an effort to protect an existing business model?  And how do we account for the benefits people lose when useful technology is delayed?

I don't have a neat answer.  Businesses face pressure to become more efficient and stay competitive.  Employees need opportunities to adapt.  Society needs safeguards that keep up with increasingly capable systems.  Those needs won't always move on the same timeline.  

But we should be able to welcome progress and question its pace in the same conversation.  

That's where my friend and I landed over dinner: excited about the possibilities, while wondering whether we're putting enough effort into helping people absorb the change.  

Do you feel the same tension?  In your business or industry, what would adopting AI "at a pace the world can absorb" look like in practice?

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