Tools, not gods.

I've worked with AI tools for over a decade. They are powerful. In the right application, they can be the difference between a project that ships and one that doesn't.

I'm still not buying the hype. Not all of it.

The prevailing narrative is that AI is poised to transform everything. Depending on who's selling, it's either the second coming or the harbinger of mass unemployment and existential doom. From where I sit, running a technical consultancy and working with these tools daily, the reality is more grounded, less glamorous, and far more interesting.

The disruption is real. It's just not what most people are selling. #

AI is incrementally disruptive, not revolutionary. It's an evolution of automation, not the arrival of a digital god.

Entry-level work that can be reduced to predictable patterns is being automated. Basic content creation, support scripts, rudimentary code, repetitive document processing. If a job is mostly predictable, it's at risk.

Mid and senior roles aren't being replaced. They're being reshaped. A skilled strategist using AI is more efficient than one who isn't. Same goes for developers, marketers, designers, researchers. The right mental model isn't "AI replaces the worker." It's "AI is a fast assistant that never sleeps and doesn't really get it."

Productivity gains are real, but they go disproportionately to people who know how to work with AI, not just to people who have access to it. That distinction matters more every quarter.

We are not close to AGI. #

What we have today is pattern recognition operating at a scale that imitates intelligence convincingly. That isn't nothing. It's also not the same thing.

The systems we're building have no awareness, no intent, no goals of their own. They don't reason. They don't learn across unrelated domains the way a child does. They don't understand the things they say. They generate the most statistically plausible continuation of the text you gave them, and a lot of the time that continuation is useful.

Artificial general intelligence, as it's classically defined (an autonomous, self-aware mind capable of operating across arbitrary domains), isn't sitting one product cycle away. The fact that today's tools are more capable than last year's tools doesn't mean we're closer. It means today's tools are more capable. Those are different claims.

This isn't a popular position in some rooms. It's also the correct one.

What AI actually does well, today. #

The honest list, in 2026:

• Drafting and rewriting structured content (proposals, summaries, outreach)
• Pulling structured data out of unstructured documents at scale
• Translating natural-language intent into search queries, code, or configuration
• Summarizing long material into different lengths and registers for different audiences
• Acting as a thinking partner against a body of context someone else has already curated
• Running narrow agents that complete bounded multi-step tasks with tool access
• Surfacing patterns across qualitative data that would take humans weeks to read through

That's a meaningful list. None of those items require AGI. All of them have real business value when applied to the right workflow.

We're working with a research firm right now on the last item. Their qualitative methodology depends on nuanced human interpretation of interview transcripts. We built tooling that processes the transcripts automatically, surfaces emotional and symbolic markers, and organizes early insights into structured outputs the firm's analysts review.

The AI doesn't replace the analyst. It gives them a head start. Hours of grunt work compress into minutes, and the analyst spends their time interpreting rather than processing. That's the shape of the win. Amplification, not autonomy.

Hype cycles repeat. #

Every major technology cycle works the same way. The first wave of marketing promises something close to magic. The execution misses the promise. The cycle gets declared a failure. Then the underlying tech quietly becomes infrastructure ten years later, mostly outside the original framing.

The Segway didn't revolutionize cities. It also wasn't wrong about the underlying premise: cities reorganize when personal mobility gets cheaper. Rentable scooters and bikes in every major metro is the version of that idea that actually shipped.

Blockchain went through the same cycle. The hype centered on NFTs and speculative trading. The substance (decentralized verification of state) is still real and still has applications, mostly outside the spotlights.

AI is the next chapter. The hype is wrong about the timeline and wrong about what it will replace. The underlying tech is still real, still useful, and will quietly become infrastructure in the parts of work where it actually fits.

The frontiers that matter. #

If you want to watch for the breakthroughs that would actually change the shape of this, the ones to track are structural, not parametric:

• Agents that can be trusted with consequential decisions, not just bounded research tasks
• Durable memory across sessions that doesn't quietly hallucinate state
• Interpretability tooling that lets operators verify what a model is actually doing before they ship its output
• Embodied systems that handle physical-world feedback loops without falling over

Until those land reliably, we're in the realm of specialized automation that gets steadily more capable. That's a fine place to do real work. It is not sentient software.

Tools, not gods. #

At Joust we use AI heavily. We also critique it, because tools should be understood before they're adopted or feared. AI will have a real impact, especially on knowledge work. It will not change everything, and it will not change everything overnight.

The constraint on most teams has never been the supply of ideas. It's time, budget, and bandwidth. The work that needs doing has always exceeded the hours available to do it. What these tools genuinely unlock is the ability to put more of those hours into solving real problems and less into the repetitive scaffolding that surrounds them.

Stay grounded. Stay curious. And stop pretending autocomplete got smart enough to qualify as a person.

If a digital mind shows up tomorrow in a mountain bunker, I'll update my priors. Until then, I'm sticking with the workflows and the tools we actually have in front of us.