What’s Really Happening vs. What’s Being Said
- Lisa Askins
- 1 day ago
- 2 min read
AI and jobs.
Before we tackle this topic, I invite everyone to take a long, deep breath.
For those reading with wine in hand, smell that terroir and take a luxurious sip.
Now let’s start with the facts.
AI and layoffs
Stories about AI are often used to explain layoffs today.
In reality, many tech companies hired aggressively during the pandemic and are now returning to more sustainable staffing levels.
These layoffs often boost stock prices, and AI can become a convenient narrative to explain the cuts.
Actual job impact
That said, jobs are being affected. Particularly at the entry level.
Ask any parent of a recent college graduate.
AI’s real strength lies in its ability to consolidate tasks. Work that previously required several people can sometimes now be handled by a smaller team supported by AI tools.
As an aside, if any parents or job seekers would like to have a deeper conversation about entering the workforce or navigating a career transition, feel free to reach out.
AI capabilities vs. workforce replacement
Most roles are far more complex than the headlines suggest.
They involve sensitive information, judgment, and accountability.
Complexity, security requirements, and privacy concerns all limit the ability to deploy fully autonomous AI systems.
In my experience, customers still expect clear human escalation paths.
Enterprise claims vs. reality
Conversations about AI transformation often play well in the market.
But as with many emerging technologies, public claims sometimes run ahead of practical implementation.
Adoption is happening, but more gradually than headlines suggest.
So what does this mean for the future of work?
AI is unlikely to eliminate work, but it will change how work is structured. Smaller teams supported by powerful tools can accomplish more than before.
The real question isn’t whether AI will be used in organizations. That part is already happening.
The more important question is how well it will be used.
Because implementing AI well requires far more than turning on a tool.
Next week we’ll look at what it actually takes for organizations to use AI effectively and responsibly.
Let’s talk. If you’re navigating change and want to lead with more clarity, confidence, and connection, I’d love to support your next step.