Alex Gilliland

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Alex Gilliland

Alex Gilliland

@AlexGilliland

• Writer + communications strategist for health care leaders & systems • AI Liaison newsletter ⬇️

Venice, CA Katılım Eylül 2008
557 Takip Edilen274 Takipçiler
Alex Gilliland retweetledi
staysaasy
staysaasy@staysaasy·
The limiting factor for 90% of people’s careers is willingness to talk to strangers regularly.
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Alex Gilliland
Alex Gilliland@AlexGilliland·
Why context and creating persistent memory tied to broader coherence is vital if you're using AI in your business. Plus, how I built a lead gen protocol in less than an hour. ai-liaison.beehiiv.com/p/king-context
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Alex Gilliland
Alex Gilliland@AlexGilliland·
Late to this excellent talk from @dharmesh. Love this last part: "The better AI gets the more it allows us to be human." Feels like everyone thinks this is about being more automated. It's really about what makes us unique, and that's our humanness: simple.ai/p/the-60-30-10…
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Alex Gilliland retweetledi
Milk Road AI
Milk Road AI@MilkRoadAI·
Jensen Huang just delivered the most honest take on AI and jobs anyone in tech has said (Save this), "AI is not likely to replace you but someone using AI better than you might." His argument is simple and backed by data, AI automates tasks, not jobs. A radiologist's task is reading scans and a radiologist's purpose is caring for patients. A decade after Geoffrey Hinton declared radiologists obsolete, radiologist salaries sit at $571K and demand is growing at 9% annually and even as AI writes more code, demand for software engineers keeps rising. The productivity gap between those using AI and those not is already decisive. GitHub Copilot users complete coding tasks 55% faster. BCG consultants using AI finish work 25% quicker with 40% higher quality output, customer service reps resolve 14% more inquiries per hour. But a Gallup Workforce Panel found only 30% of workers use AI frequently and roughly 40% have never meaningfully engaged with it at all and that gap is compounding every quarter. Meanwhile, 128,940 tech workers have been laid off in 2026 so far, 38% more than the same period in 2025, with nearly 50,000 of those cuts attributed directly to AI adoption. The displacement is real but it's concentrated in roles where workers refused to adapt. Huang made one more point that almost nobody picked up on. AI isn't just creating knowledge work opportunities but rather it's creating the largest physical infrastructure buildout since the interstate highway system. Chip fabs, data centers, and advanced manufacturing facilities all need electricians, ironworkers, and tradespeople more than they need prompt engineers. Demand for skilled trades is already up 27% over three years and Huang told graduates that tradespeople will be earning six figures early in their careers. The divide Jensen is describing isn't between AI and humans but rather between people who treat AI as a threat to wait out and people who treat it as a multiplier to lean into.
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Alex Gilliland
Alex Gilliland@AlexGilliland·
The ability to charm and disarm within 30 seconds is increasingly rare and is an absolute cheat code. Gassing someone up, showing genuine kindness, cracking a joke, being a god damn good time. It will take you so far.
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Alex Gilliland retweetledi
Justin Murphy
Justin Murphy@jmrphy·
The new barbell is to be purely human-maxxing or purely token-maxxing, but nothing in between. The between is the worst. Understanding and practicing this separation is not trivial, requires real reflection and purposeful reorganization of life, often going against deeply set habits. I’ve been going to the library in the morning for deep human work from 9am to 12pm (namely reading, thinking, and writing), then gym, then I try to be psychotically machinic from around 2pm to 5pm. I can’t always stick to this but I’m finding the more I separate the two states of mind with different physical spaces and times of day, the better things work and feel. If you’re trying to use AI for anything while you’re also trying to do anything meaningfully human, I have generally found that it’s a terribly confused and frustrating feeling and it produces poor, inefficient results on both.
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
There's a strange inversion happening with trust. We used to trust institutions and distrust individuals. Now we trust individuals and distrust institutions. This is going to get more extreme as AI floods the internet with corporate sounding content and brands that all look the same because they're all trained on the same 200 references. The more polished and institutional something looks, the less people trust it because it pattern matches to "generated". The more raw, personal, and imperfect something feels, the more people trust it because it pattern matches to "real". I'm noticing this. Maybe you are too.
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Alex Gilliland
Alex Gilliland@AlexGilliland·
imitation is not a form of flattery to me. it's a sign that you will soon be my enemy, or at least my hater.
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Alex Gilliland retweetledi
Nivi
Nivi@nivi·
I don’t believe in a permanent underclass, but a whole new layer of high-agency people are being activated by AI.
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Todd Saunders
Todd Saunders@toddsaunders·
A friend gave me a good analogy for this last week. Every prior tech revolution ran this exact pattern. The printing press didn't kill scribes by turning everyone into one... it produced authors, publishers and an entire civilization that read. Power tools didn't end carpentry... they ended bad carpentry. Spreadsheets didn't replace accountants... they turned accountants into CFOs. Agents are the same pattern. The floor rises and the ceiling rises faster. Demand for judgment, taste, and context goes parabolic, because the cost of producing the thing collapses while the cost of producing the right thing stays human.
Aaron Levie@levie

For everything we’ve seen about agents so far, it’s clear that they will make it far easier for people to get into previously extremely complicated fields. That will most certainly mean far more people will build software, explore creative work, research spaces they couldn’t do before, and so on. Yet, equally, we’ve seen that people with experience in every one of those fields have a huge edge with the right judgment and historical context to leverage these tools in ways that exceed the output of the novices (if they choose to). They know when the agents are making catastrophic mistakes, can give the agents the right context to do the job better than they otherwise would have, and so on. The combination of these two facts essentially means that we will continue to get the same lift as we’ve seen in any other technological revolution. More democratization, but similarly greater output from the experts. This then makes the experts continue to be in higher demand because over time our expectation for what we can get out of any field will just go up. This is going to be true in essentially every important field. You’ll trust a lawyer using an agent for legal advice over someone who’s never had to experience how well a contract holds up. You’ll trust an engineer developing and running software over someone who’s never seen a production system. You’ll rely on the important instincts of a designer using agents over the average prompter. The quality and volume of output we expect from these functions will certainly go up meaningfully, but the person with experience will always have a leg up, which is why the jobs don’t go away.

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Milk Road AI
Milk Road AI@MilkRoadAI·
Chamath just graded the entire tech industry on AI and gave them a D-minus, trending toward F. His argument isn't about the technology but rather about communication. "Nobody spends the time and the money to articulate the positive upside case, so that there's broad-based support." And while the industry has stayed silent on the benefits, the math has been doing its own talking, a few people are becoming extremely wealthy while everybody else is watching. The data on public sentiment is brutal. 72% of Americans now want more AI regulation, a 15-point jump in one year that includes 66% of Trump supporters. 97% of Americans agree AI safety should be subject to rules and 59% of the public has little to no confidence that companies will develop AI responsibly. BlackRock CEO Larry Fink called it directly, AI is producing K-shaped outcomes, where leading firms rocket forward while everyone else watches from the outside. When market cap rises but ownership stays concentrated, prosperity feels unattainable. Chamath's point is that none of this is inevitable and the antibodies are building but they didn't have to. The tech industry has spent $700 billion on AI capex in 2026 alone and it has spent almost nothing on explaining why that's good for anyone who isn't a founder, VC, or hyperscaler shareholder. OpenAI released an industrial policy white paper suggesting a Public Wealth Fund, Microsoft launched a community first initiative. Both arrived with no accountability mechanisms and a track record that made them easy to dismiss. The question Chamath is really asking isn't should AI be regulated but rather why did we let it get to where regulation feels necessary? The glass half full version of this story, the one about broad based abundance, a rising standard of living for everyone, medicine, education, productivity for the bottom half of the income distribution that story exists but nobody is telling it. There is only doom and gloom and that needs to change!
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Alex Gilliland
Alex Gilliland@AlexGilliland·
The printing press was going to destroy the church...The assembly line was going to destroy craftsmanship. The internet was going to destroy truth...the same question sat at the center of the panic...Are we our tools, or are we something more? Killer read and important convo
Big Think@bigthink

AI is not the root problem. According to Eric Markowitz @ericmarkowitz, AI is a mirror reflecting a system that already treats human value as expendable. Read the full article: bigthink.com/the-long-game/…

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nxthompson
nxthompson@nxthompson·
This is an important point from @Tyrangiel. AI is not going away. The most productive path forward is to work with it and the people building it to ensure the technology is moving us in the right direction, not the wrong one. theatlantic.com/ideas/2026/05/…
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yimika|
yimika|@yimikaaaa·
Anytime someone does something weird to me I work on myself, because what am I even doing being around someone like that.
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Jack Altman
Jack Altman@jaltma·
There’s a lot of alpha in putting your ego aside by being willing to be cringe, willing to fail in public, willing to ask for what you want and face rejection, etc.
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Alex Gilliland@AlexGilliland·
Love this and hopefully can also influence policy changes/recommendations. Great news!!
Alex Imas@alexolegimas

Some news: This week I am starting at @GoogleDeepMind as Director of AGI Economics on @shanelegg’s team. I will be joining the other amazing cross-disciplinary scientists researching AGI there. My team will study how frontier AI could reshape the economy: what happens to work and labor, how wealth and power are distributed, how institutions adapt, how AI agents shape markets, and what kinds of models can help us reason clearly about futures that may look very different from the past. I’m incredibly excited to help build this research agenda. If AGI changes how society operates, economics is going to be critical for shaping our shared future. Many more announcements soon.

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