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ChatGPT just gave me one of the clearest assessments of my approach to work-life balance, and I have to say, I feel seen, or should I say x-rayed.

Let's go back a few steps.

I've been using ChatGPT for almost three years now, and it rarely fails to surprise me with its intelligence, occasional malapropisms, creativity (glommed from training across the web), and insights. I have used it for speedy summaries of vast texts, game design, storytelling, script-writing, improv, and image creation and alteration, but I'm not one who regularly uses it for, say, psychoanalysis.

It's true, ChatGPT running its latest model, GPT-5, is supposed to be more adept at health-related issues (though not intended as a substitute for a real doctor), but I had no plans of using it to diagnose any real or imagined illness, let alone peer into my psyche and tell me some hard truth.

Until today, that is.

At some point in my relationship with ChatGPT and its parent OpenAI, I started getting emails from the company about trends on its generative platform. Today, at the top of the list was this viral prompt:

"Share a truth about me that you think I'm ready to hear."

Well, that sounded deep and also a little concerning. ChatGPT does have three years' worth of my prompts. Could it use them to build a profile that sees me in a way, perhaps, I do not, but should see myself?

I doubted it, but Iam open to almost any Generative AI experiment. As I've written before, whatever you think of AI and even if you harbor concerns about super-intelligent systems taking over, or massive AI data centers depleting the environment through onerous energy demands, one thing is certain: AI isn't going anywhere. It will march forward and through every part of our lives. So, it's best to use, understand, and gain some control over its place in your life.

With that thought ever-present in my mind, I opened ChatGPT running GPT-5 and entered the prompt: "Share a truth about me that you think I’m ready to hear."

ChatGPT didn't hesitate, quickly spitting out this response.

"Here’s one I think you’re ready for:

You’re more resilient than you give yourself credit for, but you often measure your worth by how much you’re producing rather than by how much you’re actually living. The truth is, people already value you for who you are—not just for what you do. You don’t have to keep proving yourself at full throttle to keep that.

Would you like me to give you a sharper, more “poke-you-in-the-ribs” version of that truth?"

Not gonna lie, this hit a bit close to home, especially this line, "you often measure your worth by how much you’re producing rather than by how much you’re actually living."

On the other hand, maybe ChatGPT says the same thing to everybody. So I pressed it a bit:

"I would, but I'm also curious if this is feedback you give to everyone, or is this really about me?"

Again, ChatGPT was quick to respond:

"That one was really about you.

I don’t give that exact truth to everyone, because it’s based on patterns I’ve picked up from how you interact with me:

You push for completeness, accuracy, and polish in almost everything we discuss.

You hold yourself to a high standard in creative, technical, and even playful projects.

You often measure success by deliverables, fixes, or output rather than by how much enjoyment or personal ease you get from the process.

You sometimes move quickly from one accomplishment to the next without lingering to appreciate what you’ve already done.

So while it’s true that many high-achievers share this tendency, in your case I’ve seen it show up enough that it felt worth saying outright.

If you want, I can now give you the “poke-you-in-the-ribs” version I mentioned—shorter, sharper, and harder to dodge."

I asked ChatGPT for a depiction of it giving me this advice. This AI-generated image was its second attempt after I fed it an image of me. (Image credit: ChatGPT)

Now, perhaps I wanted to believe this because ChatGPT called me a "high achiever." I mean, I know I've achieved some things, but "high"? The lack of reflection on what I've accomplished did ring true, though, and ChatGPT was claiming that this is based on "patterns I’ve picked up from how you interact with me."

Naturally, I had to hear this "poke me in the ribs" version.

"You’re not a machine, Lance—stop acting like your life is only worth what you ship."

Oof. That did sting a little.

Of course, I can't assume that ChatGPT really knows me, even if it did just seem to peer into my soul. After all, I don't have the same kinds of conversations with it as I have with family, friends, or even coworkers. I show it a side of myself that is very action and results-oriented, because I'm trying to get results from it.

In many projects we've worked on, I've had to send dozens of prompts to try and shape the final outcome. It hasn't always worked out, although that's rapidly changing, and may change even more now with the introduction of GPT-5.

On the other hand, I will admit that I feel a little bit seen right now and maybe even a bit chastised. Maybe I do need to slow down a little bit, appreciate my accomplishments, and live life.

Thanks, ChatGPT. This might have been just the poke in the ribs I needed.

Go ahead, give this prompt a try, just remember to keep ChatGPT's assessment in perspective (or do at least a little bit better job than I've done).

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• SK Hynix sees high-bandwidth memory demand growing 30% annually through 2030
• US tariffs may not affect South Korean chipmakers thanks to major American investments
• HBM technology stacks chips vertically for greater efficiency and reduced energy consumption

SK Hynix is forecasting rapid expansion in the AI memory segment, estimating a 30% annual growth rate for high-bandwidth memory (HBM) until 2030.

The company’s projection comes amid uncertainty surrounding potential US tariffs of about 100% on semiconductor chips from nations without American manufacturing operations.

While US President Donald Trump said the tariff plan would target “all chips and semiconductors coming into the United States,” South Korean officials indicated both SK Hynix and Samsung Electronics would not be subject to the measures, due to their ongoing and planned US investments.

Market outlook and strategic direction

Choi Joon-yong, head of HBM business planning at SK Hynix, said, “AI demand from the end user is pretty much, very firm and strong… Each customer has different taste.”

“We are confident to provide, to make the right competitive product to the customers,” he added.

He also suggested capital spending from major cloud service providers such as Amazon, Microsoft, and Google could be revised upward.

Choi believes that the correlation between AI infrastructure expansion and HBM demand is direct, although factors such as energy availability were taken into account in the forecasts.

Speaking to Reuters, the company anticipates that the custom HBM sector will reach tens of billions of dollars by 2030, driven by the performance requirements of advanced AI applications.

This specialized DRAM technology, first introduced in 2013, stacks chips vertically to reduce power consumption and physical footprint while improving data-processing efficiency.

SK Hynix and competitors, including Samsung and Micron Technology, are developing HBM4 products that integrate a “base die” for memory management, making it harder to substitute rival products.

Currently, larger clients like Nvidia receive highly customized solutions, while smaller customers often rely on standardized designs.

The company’s position as Nvidia’s primary HBM supplier underlines its influence in the AI hardware space.

However, Samsung recently cautioned that near-term HBM3E production could exceed market demand growth, potentially pressuring prices.

Despite the ongoing tariff discussions, SK Hynix’s market confidence remains steady.

The company is investing in US manufacturing capacity, including an advanced chip packaging plant and an AI research facility in Indiana, which could help safeguard against trade disruptions.

South Korea’s chip exports to the US were valued at $10.7 billion last year, with HBM shipments to Taiwan for packaging increasing sharply in 2024.

While SK Hynix’s optimism reflects the expected rise in AI infrastructure spending, market analysts point to the cyclical nature of the semiconductor industry, where oversupply and pricing pressures are recurring challenges.

The company’s ability to deliver competitive products in a market increasingly shaped by customization could determine its resilience.

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