Justin Thomas

@ChrisandOla I believe I am in this middle ground and I will continue to research and publish my ideas and findings.

@JustinThomasAI They need to speak up before it's too late.

The AI debate right now is mostly between two groups who aren't really listening to each other. On one side, you have the people pushing for full adoption at maximum speed. The deployment is the point. The jobs displacement is a footnote. The human consequences are something the market will sort out later. On the other side, you have the people focused almost entirely on ethics and psychological impact, who often have legitimate concerns but very little technical fluency to actually shape how this technology gets built and rolled out. What is missing is the middle. The people who genuinely believe AI is going to define the next century, who want to see it deployed widely, but who refuse to pretend that the human side does not matter. The people with technical expertise who are also willing to sit with the harder questions about what this does to workers, families, and the way people understand themselves. Those voices exist, but they are not loud enough yet. The conversation right now is dominated by people with conviction and very little nuance. The middle ground is where the real work happens, and we need a lot more people willing to live there.

@CarolinAramburo It starts with us 🤝

I totally see what you see, I am like a maniac leading my companies in this direction and speaking UP ...too much (I am told 😅) at all the companies that my companies subcontract and the companies of my clients... And I shall do a better job speaking up here on X too. Thank youuu 🙏🏻 Let's get our middle way represented way more!!💯🎯

@TheSystemsDad @UltraLinx I think within a year, nobody will be able to put “great at PowerPoint, excel, word” or any of them on their resume. Now that Claude is being integrated into Microsoft products, you can just tell Claude in the sidebar to do it for you. No skill needed.

@JustinThomasAI @UltraLinx Used to be?

Imagine spending decades learning Excel and Powerpoint to then have AI mog you.

@GergelyOrosz I see the similarities, but the biggest difference, in my opinion, is how ROI shows up. Early cloud made hard savings obvious. With AI, value is more closely tied to productivity, quality, and speed, so true ROI is much harder to isolate and prove.

So many things about AI infra and AI adoption today reminds me of Cloud adoption in the 2010s. Cloud is assumed to decrease business costs but later can start to actually increase it; has a years-long adoption + integration curve; the biggest winners are closer to the infra than not; it becomes a v large expense at companies to plan + budget for; customers don’t care if a company uses cloud/AI behind the scenes etc

@NonwayneWayne Try Perplexity.

Let me put this simply: ChatGPT is not Google. It is stupid and potentially dangerous to treat ChatGPT like Google. LLMs are closer to asking a random weirdo in the street a question than using a search engine.

@bprintco People become comfortable doing things a certain way and have a hard time with change.

The most frustrating thing of implementing an AI system into a workflow with other people is how quickly they give up. You could build the most perfect system and it saves hours of work every single day. It runs flawlessly for a while. Then… it has a tiny hiccup, a 2 second fix, and people freak out and immediately throw the whole workflow in the trash. They go right back to wasting hours of their day, every day. This is the biggest barrier for AI imo, especially at an enterprise level. Don’t underestimate ignorance and how committed people are to being inefficient.

@Ike_Saul Unfortunately, I only see this issue getting worse. Unless there is some kind of warning banner before accessing any chat AI. I think the only company doing it right is Perplexity because it uses live web search and shows sources by default for each answer.

We are in deep, deep trouble. A reader wrote in to me this week saying that they wouldn't read my Trump corruption story because ChatGPT "fact-checked the piece" and informed them most of it was false. Among other things, ChatGPT told them that there is no Iran war, Jared Kushner is not a negotiator in the war, Qatar never offered Trump a $400 million plane, George Santos wasn't pardoned, the NYTimes did not report on Syrian billionaires lobbying Trump for sanctions relief, Trump never launched a meme coin, and World Liberty Financial (the Trump family crypto firm) doesn't exist. Of course, all of these things ARE real, do exist, and are happening right now. Apparently, the reader copy and pasted the text of my story into ChatGPT, and without the links ChatGPT couldn't confirm any of it. Once the reader sent ChatGPT the link to the story, it ended up concluding all the facts were correct. How many people simply don't know how to use AI and are offloading all their thinking? It's a terrifying thought. And a totally new frontier of reality to navigate.

@mstockton I seriously doubt CEOs are going to get their hands dirty with AI beyond generic chat, and that's a problem.

This is a real challenge. I do think AI adoption has to largely be a top down thing though, so whatever size your org is, if you are the CEO - congrats! You are the one who needs to figure this out. There are things to know though, that could help you. This is definitely just a view, an incomplete list, and probably some of it is wrong. Choose your own adventure please and do your own research. Tell me where I’m wrong! My off the cuff list: - There’s probably at least a few folks at your org who are pilled and rabbit holed and know what they are doing. Find them and then spend a few days with them to ask them to tell you everything they know. Watch them work. Seriously, shadow them and watch how they work with codex or Claude code - Then you need to do the work yourself. AI lives on command lines right now, it does not live in PowerPoint jargon slides. You have to get your hands dirty. You need to experience what is possible. - There’s going to be functions and areas and groups in your company that will be highly resistant because of - you need to understand the concerns but ultimately make it clear that lots of old rules don’t apply and need to be changed for operating with these new tools. It won’t be easy and many folks won’t get on the ship with you. This will slow you down if you don’t make the tough decisions. Rip the bandaids off when needed. - People need time to learn and time to experiment. The *biggest* finding in my consulting is that —- **surprise** - folks have a job to do and that job is not learning AI. It’s on you to ensure people have the space to do it. And telling people that they should ‘learn it’ is entirely insufficient. Put yourself in their shoes. What messaging and structure and incentives do they need so that they truly go try the thing in a meaningful way? Do that, and then reward and highlight the folks that follow through. - The structure of your org will change. It has to. This is a tool, but it is a tool that wants to mold how a team works together in ways that are totally new. You will only figure out what this means by experimenting with the capabilities yourself - The way information flows through your organization will change, and it needs to be captured differently. These tools compound with smartly structured information that gets automatically distilled into system-legible files. Someone at your organization already knows what this means. You need to have them help you, or hire someone who can help you with this. Company context distilled into agent legible graphs is going to be the thing that makes this all work for you. When it works, it will feel magical I could go on. But this is hopefully enough to make you curious. If you’re not curious about this stuff by now - I am sorry - you are not going to make it.

@DanielSmidstrup No, but it will.

Has AI made the impossible possible?

@CarolinAramburo That is very wise advice!

@JustinThomasAI 🎯💯 The middle ground is the holy ground, as my friend Monks says

Thank you for seeing what I see! A huge issue right now is this gap between the two extremes. There ARE people in the middle, we just have to do a better job speaking up. The extremists are typically the ones who like to argue their point, while the middleists like to stay quiet. But I think for this AI revolution, we are going to need fighters for the middle ground. To promote innovation but not at the expense of humans.

Justin; this is the bridge voice we’ve been starving for on X. Finally someone fluent in both the silicon and the soul, nails it!! 🎯 From behavioral neuroscience + ontology + Businesses + Human Development... I see it clearly: AI doesn’t just displace tasks, it risks hollowing out the very presence and meaning that let us truly see one another. Thank you for naming the vacuum with such clarity. ❤️👽💯

@mike_h1990 Same. Lets get after it!

@JustinThomasAI Just thankful to see this new day brother! How about you?

@JustinThomasAI Good morning Justin, how are you doing brother?

@jmdagdelen Reminds me of this news article from a couple of weeks ago. techradar.com/pro/simply-by-…

All of the tech companies laying off thousands of people because they're "re-inventing the way we work through AI" or whatever have no idea what damage they're doing. You think all the people left are just going to earnestly work hard to integrate all the AI stuff so you can replace them later? This is how you guarantee that both your AI transition fails and your team becomes a cynical band of mercenaries who have no shared mission.

@TechyAizen Another large company laying off employees.

@JustinThomasAI Another one coming ?

@JustinThomasAI 😅😅

@CarolinAramburo It is a beautiful Florida morning!

Do you ever come back home from a getaway and think… why the heck did I leave? 🤣🧐 Home is IT for this ET. Is it for YOU? The real luxury isn’t the destination. It’s loving where we already ARE. ( Most people don’t ) Let’s be here NOW, shall we? ❤️👽 @CarolinAramburo

@TheSystemsDad 💵💵💵

@JustinThomasAI Step 1: Get excess power Step 2: Channel it to local data center Step 3: Profit

What if your backyard generated passive income by powering AI? That's the bet Span is making. They want to place mini data center nodes at homes, paying homeowners' electric and internet bills in exchange for computing power. Span reports that "the average American home only uses about 40 percent of its electrical capacity." As AI companies seek more power, they are attempting to seize power that is already available. An Nvidia spokesperson said, “The ability to leverage existing locations that have access to power makes a lot of sense. … We believe that we can bring on AI solutions quicker, and it should add to the affordability story.” Big tech gets infrastructure. Homeowners get savings. This is an Interesting model.