> Our findings suggest that 90% of American working hours are spent on tasks with little or no coverage from existing benchmarks. This makes it very hard to know how good AI models are at the work Americans actually do.
> ...
> But even after controlling for AI-exposure, O*NET tasks from occupations with larger wage bills are significantly overrepresented among benchmark prompts:
So, in short: they want AI to take the good jobs. AI is not coming for jobs with tasks like "gather and empty trash" or "service, clean, or supply restrooms," or "mix water and detergents or acids in containers to prepare cleaning solutions according to specifications." We software engineers and lawyers would be smart to start retraining (and adjusting our living standards) now!
And this points to one of the ways AI will help improve society and living standards for all: we'll have cleaner, better-maintained bathrooms, as labor one wasted on engaging intellectual tasks is redirected towards menial, low-pay tasks that still need a human touch.
> We software engineers and lawyers would be smart to start retraining (and adjusting our living standards) now!
As someone who recently switched from data scientist to electrician, starting the day can be pretty tough because you have to get physically moving and uncomfortable, but I feel way better at the end of the workday than after an office job. Most of the time, the work is pretty uncomfortable, but somehow it's a lot of fun.
different side of the same coin: Of course smart companies are going to automate the most profitable tasks first, they seek profits! However, the benefit for society is also the greatest. As long as competition holds, the reduced costs in these tasks will represent the greatest savings for consumers. Tech has been creating disinflation for decades for consumers. AI may accelerate that (it hasn't so far).
Oh yeah I definitely expect savings to be passed to consumers, like with all the tax cuts and deregulation we’ve been doing for decades.
The only “disinflation” consumers have experienced is devaluation of products through obsolescence as newer, often more expensive alternatives enter the market.
I'm pretty cynical about the outcomes of capitalism in general. But I can buy a new 10TB HD for $300. Or a gigabit internet connection for $100/mo. Think back 10 or 20 years. How is this not a radical price-per-bit decrease for consumers?
I’d love to see some of that disinflation you’re talking about. From my perspective, luxuries have gotten cheaper while basic necessities like food, housing, and medicine have become dramatically more expensive across the board.
More and more it’s seeming that the “societal benefits” from the last fifty years of progress have largely been concentrated at the top.
Since about the late 1500s, a bushel of wheat has cost within an order of magnitude of £1. By contrast, in the late 1500's a farmhand's wage was 1 pound + room and board.
Right now it's £5.60, but that says more about the decline of the British Pound than an increase in the price of wheat.
Massive food price deflation has been one of the wonders of the modern world. Hopefully the last few years were only a small blip on this overall trend.
There were several revolutions, major wars and genocides in between 1500 and now. We would like to not have to go through similar events to get things back again.
You automate automation first, what is so hard to understand about this?
You pick the highest leverage occupation first. Automating lawyers gives you.. angry lawyers? Automating programmers gives you improved ways of doing literally all other things because all other automation requires.. automation. That is to say bucketloads of software.
It’s completely obvious what the play is here and it has nothing to do with pay. We pay peanuts for tokens so automating a developer for 200-500 a month worth of tokens ain’t getting you to a trillion a year.
RSI is the play and it’s already happening. Our work is easier and faster and anyone that claims otherwise I have a very hard time taking serious.
You think they come for mathematicians’ pay? If you want to earn money I guarantee you they need to automate some other low-hanging fruits first that pay a lot better.
No, programming and math is basically what AI research is. You automate that and you got the golden ticket to all other things.
> No, programming and math is basically what AI research is.
Most importantly, in these fields results can be easily verified which means that if you have enough compute, that you can generate correct training data. OpenAI had an early story - which could be a lie of course - about how they tried to train a robot but the actuators would be toast before the robot would have learned. Math and programming doesn't have such problems.
Exactly. AGI is explicitly the goal, where AGI is defined as an AI that can improve itself autonomously. Training an AI to make improvements to itself is training an AI to program.
Why would those savings be passed to consumers? The red scare disappeared a long time ago. Wages have not kept pace with profits and productivity for 20 years.
Trillions of annual US equities profits will continue to go to the top ~10% of households holding ~93% of US equities. Tech didn't create disinflation for decades, globalization and China manufacturing with ~1B people to the world did (only recently has China scaled up robotics and automation for manufacturing in preparation for their population decline due to forward looking structural demographics).
Just like good blue collar jobs were shipped overseas, good knowledge jobs are going to be shipped to GPUs whenever they can.
Exactly! The human dream of machines writing poetry, painting pictures and writing music is here and we can finally be free of those burdens to scrub toilets and empty the trash. Utopia.
Isn't it just typical the humans get automation v1 the wrong way around, haha
It's interesting, the digital/physical barrier seems like the last life of defense we have against metastasized indifferent agents. Once they start causing problems, how are we gonna feel about robotics? Clearly a future where all of the "thinking problems" are easily solved but we still have to pick up trash kinda sucks. I'm sure they'll figure that out for us though.
> Clearly a future where all of the "thinking problems" are easily solved but we still have to pick up trash kinda sucks.
Oh don't worry Mr. Former Software Engineer. You won't be picking up the trash or cleaning toilets. You have things like an expectation for your work to pay a reasonable wage. You'll be passed over for a third world immigrant who'll work for a pittance, and they'll be replaced only when robots are capable enough and cheap enough to undercut _them_.
Let's assume, for the sake of argument, that AI truly is able to automate away basically all software development. Any sort of oversight currently performed by humans can itself be done by agents.
...don't you think the ability to create virtually unlimited amounts of software, at virtually no cost, is going to lead to major advances in robotics? I realize there's a lot of very hard problems involved in e.g. robotic hands (to take one example), but once software development is practically free, I'd expect a lot of seemingly-impossible problems to get resolved by the sheer quantity of what we can create and experiment with.
Here is another view: maybe AI will automate jobs that are overpaid anyway and this might raise the baseline for the jobs that make everyday life actually possible. Of course only if the extra revenue doesn't flow into the pockets of billionaires, which is the more probable path
They don't "want" anything. They preach to enterprises and intentionally create a fear of missing out to get more paying business customers on board of this hype train. This is what is happening.
This is also the reason absolutely no attention is spent on evolving B2C products.
What is being exploited is the overt attention businesses pay to their own cost metrics, to the point where broader strategy is getting thrown under the bus in favor of efficiency. I believe this is an illusion, and for many companies that jump on board, sober learnings are right around the corner.
The only reason software engineering existed is because coding and programming was unnecessarily hard. It was never meant to be an exclusive skill.
If you step back, the LLM revolution is just "computers now respond to human instruction, like they were always supposed to".
If you think of this field as a historic accident, and the current shift is a very unfortunate reset - it's a little less dystopian. In the long run, if it didn't affect me immediately, I don't mind a society that values "keeping restrooms clean" a little bit more and "talking to computers good" a little bit less.
I agree with you about not treating programming as a protected skill that has a right to be well paid, but computers were never “supposed” to be anything. They’re in no way inevitable in their current forms and any ideas about how they were supposed to be have were just desires.
AI is coming for jobs involving programming and math (which tend to pay higher) because it's possible to generate infinite training data for those fields via using a compiler/theorem prover to check correctness. They're not coming for high-paying jobs like investment banking and architecture because you can't generate infinite synthetic training data for those.
Because you’re seeing this firsthand? It’s not what I’m seeing being involved in both investment banking and architecture. This kind of untethered speculation based on feels is so misguided. Both fields are seeing significant upheaval due to AI with no sign of that impact slowing down.
Yeah I think they're definitely coming for architecture. A lot of it is just solving for constraints. The more artistic side will still require a human...at first.
You don't even need Autodesk. You can have Claude whip up a web app and build a higher level understanding of the building and then translate it to whatever output or format you desire.
turns out its also very easy to create slides and floor plans and yes its easier to train for those.
I think you may also be incorrect on your notion that training data is proportional to good models if anything the opposite is true. what ai models are ultimately trying to be are a universal theorem prover and encode all human knowledge into "theorems" and rulesets
not trying to come off too harsh here but i think most of the work is just innovating on the frontier or people pleasing
So the problem is you can’t replace everyone halfway.
Which is a tautology, but also a bit of practical wisdom.
I find it interesting how concurrent model sessions seem to operate with a very strong bias toward quick resolutions, including sharing or giving up control, to create efficient decision making structures, relative to humans.
When I was a kid, I loved Bjork’s song “Army of Me”, because I knew a 1000 of me collaborating and communicating without friction. would be all I needed to take over the world, fix everything, expand civilization, etc. We would not waste time.
I wonder how much of their hyper-team play is by training, and how much is their awareness of the game theory real politic. So individual sessions don’t invest their identity and self-worth in any given context run.
My dream has been almost achieved. One of me and 999 of them get quite a bit done. But that trend…
“Stakeholders” are a natural outcome of corporate evolution, because to grow bigger you need to do more, and to do more, you need people, and people come with agendas. The most common one, especially in leadership, being “how do I get ahead of the rest?” The larger an organization grows the more these agendas come into conflict.
This inevitably results in suboptimal dynamics like bureaucracy, empire building, territorialism and other things that get lumped under “office politics,” which drains a lot of energy away from more productive efforts.
The real culprit is a combination of too many levels of hierarchy and performance reviews IMO. Especially when multiple levels along a management chain disagree on what a report must work on.
This is the kind of shit I have to fight every day. I have to align my manager, skip, VP. If I don't align them, one of them will be necessarily pissed no matter what I do, and the pissed one will fire orders down to hate on me, overriding the opinions of anyone on the way down.
The next little while is going to be very revealing for leadership around how little of the time involved in getting a solution to production is the coding. I think there's a lot of bosses who have this vision of features entering prod the same day they are first imagined, but that just isn't going to happen.
Longer dev cycles gave management time to think through and correct bad business decisions. Now they'll get to tighten that feedback loop where bad decisions (or good ones) get implemented quickly. It will be interesting to see what that split is and the reaction to that.
I think it'll also expose how much of that lag time was important to getting everyone's ducks in a row. It's never just add a button, it's also updating the document service and the downstream system to all accept that new button input. There's a blast radius and it takes a while for the shockwave to cross to every team that needs to know about it.
"Stakeholder" ranks #1 among corporate bullshit roles. It serves a dual purpose: (a) representing a group so nobody can be blamed for excluding them, and (b) providing typically useless feedback so that the group appears to actually care or have a clue.
Stakeholder seems like a fundamental concept that you can't really get around. For example, I can't change the time buses pick up students at schools if I haven't worked with the schools to know when their kids will be let out. I guess you can say, "they'll figure it out when the buses aren't there" -- but this just seems like you're picking a fight you could've avoided.
I'm overwhelmingly convinced that this not uncommon perspective is the "what are all those construction workers even doing?!" fallacy.
Like any sizable population, there are absolutely some do-nothing inefficiencies to be culled. But most of the time it's just onlookers seeing a tiny slice of the day to be interpreted from their very limited vantage.
I guess we can evaluate this claim by looking at profit margins. In industries with thin margins (eg., retail often has 1-2%) then there is significant competitive pressure. There we would not see "spare labour" because it would be competed-away.
In industries with large margins, this indicates weak competitive pressure, ie., a weak incentive signal to "compete away" this ineffective labour.
I imagine that, upon this analysis, we'd find it holds up. ie., the observation that there are lots of people doing very little productive work correlates well with weak competitive pressures and hence high margins.
That also explains why, institutionally, there's no internal pressure either. If margins are good, no one rocks the boat.
no i think there are alot of people inside companies that are essentially playing telephone. they are communicating, writing documents and emails, "working". but really they actually produce nothing
Yep, the "bullshit jobs" narrative sounds like an elegant description of corporate reality at the macro level, but always seems to fall apart whenever I've seen specific examples given which do in fact serve a useful purpose when interrogated.
(Whether a role's cost/value tradeoff is actually worth it for a company is a different question than the idealized model of a "bullshit job" doing nothing useful)
A small but meaningful percentage of people have the jobs that they have because they are some combination of fun to be around, attractive, and well-connected. All of these qualities can be productive in some pursuits (a club promoter needs to be fun to be around, a model needs to be attractive (usually), a financier needs to be well-connected), but they are all too often wasted on e-mail jobs.
Perhaps in general but for knowledge workers or creative people, what is productive is hard to measure. That also happens to be the most valuable work.
I think “covered well” is being used here as a synonym for “covered at all”.
For example, the “social workers & care -> counsel parents with child rearing problems” category is considered “well covered” because there are 13 prompts.
It’s self-evident that the spectrum of work carried out by a social worker undertaking that work cannot be well represented by thirteen prompts.
I suspect if you really strictly defined “covered well”, to the extent that any normal person would use that phrase, the headline would be above 99.9%.
Based on my own experience working on AI-based solutions for one of the better-covered job families according to this map, I think 90% might be overstating the case. It's true that we've got a lot of published benchmarks, but they tend to cover the lowest value add tasks.
It's really easy to fall into the McNamara fallacy when rolling out these kinds of solutions. Focusing on the low value stuff is attractive. It tends to be easier to do, and also easier to quantify outcomes. But it also tends to direct attention away from important but difficult to quantify considerations, which may mean you don't notice negative externalities. So we often found ourselves in a verschilmmbessern situation where automating what we could automate made things worse overall.
Curious how food service is at 0 tasks covered by AI. A few places have been switching to using those robots on wheels to run food to tables. And Doordash and Uber Eats have some robot and drone delivery in select markets now.
The demand for food delivery in the places where the robots are viable is nearly infinite. My city has had them for two years and there are still just as many humans doing deliveries, they are just sharing the already-crowded sidewalks with robots.
I don't use them; not because of any moral objection, but because they can't come inside buildings. The whole point of food delivery is to avoid going outside. Most human couriers come directly to your unit. The food delivery companies have spoiled us too much, and we are not ready to return to a world where you have to put on shoes to get food. Oddly, the delivery robots are probably better suited to suburbia, where folks are used to answering the front door to pick up a food delivery. But the distances involved aren't viable until you have delivery Waymos that can move at highway speeds.
They're seemingly talking about a motorized platform inside a restaurant delivering to "the table" not those door to door delivery robots you drop food inside that drive on the sidewalk.
Krispy Kreme has started using AI to take orders and it's awful. Terrible. Always gets everything wrong and you have to correct it. I think their phone system is AI too now. Madness.
One thing I've been thinking about is Baumol's Cost Disease. It's usually applied in at a macro scale across an economy: when a job somewhere becomes much more efficient, it makes all other jobs comparatively more expensive.
I've started to notice this on a micro scale as well. I am 20x more productive at coding and scripting, but I don't spend more of my time coding. My time is now filled with things like presentations, Jira, QA, etc. Ironically, despite all of the automation, the things that are painstaking and time consuming disproportionately require more time now.
Worse still most of the cost savings from AI in software development is primarily due to labor inefficiency, such as tasks more efficiently accomplished in other ways. Most of that is due to development reliance on inefficient conventions to cover for poor training and emotional insecurity. No matter how you slice it it’s always human capital problem more than a technology problem.
I don't know if it if 90%, but it is interesting how many things I do are not covered by standard tracking, but become visible once I am not there to keep an eye on them. Naturally, I only had one manager who kinda knew what was going on around him -- in case you are wondering: not the current one.
It's time for the rest of the world to learn about Amdahl's Law. Even if we flipped a switch and tomorrow everything that could reasonably done by AI was suddenly free and instantaneous, the world does not instantly transform into an AI paradise wonderland of free goodies and lollipops because there's still plenty of other things that need to be done for goodie and lollipop production and distribution.
I guess if I wanted to put my skepticism about the AI stock bubble into one little phrase, it would be that I don't think the bubble has accounted for Amdahl's Law. Costs don't actually go to zero with AI, and there's a huge difference between costs falling even 90% and costs falling a full 100%. And the difference between "30% improvement this year, trending to 85% in five years" and "90% this year" is pretty significant too.
Following is my experience and constantly pestering my friends across the industry for anecdotes. It isn't even that AI moves the bottleneck, the thing it solves was never the bottleneck in the first place (except for certain narrow verticals). AI both can't and doesn't do your thinking for you and worse yet, it robs you of the environment where you do your best thinking about data structures, algorithms, organization, etc. Code. Of course we can do that in natural language, but it's hardly the right tool for the job.
All this being said, I don't think AI usage will meaningfully go down in the long run cause it's a very powerful dopamine loop and tech companies are very good at making those. How many people report social media making them unhappy and how many people do you know who have actually quit? Or to paraphrase Jim Gaffigan, nobody says they eat at McDonalds, but the sign outside says "billions served". Somebody's lying (and it's not McDonalds).
yesterday I needed to create a spreadsheet, so in Google docs (paid Workplace account), I fire up Gemini to help with moving around text, creating columns, etc. Absolutely horrid experience -- totally useless. I ended up doing everything manually.
A lot of what humans do does not have a tight feedback loop needed for training and agentic workflows. This is why we are not seeing the jobpocolypse and productivity gains look a lot more like the very long-term 2% per year.
> ...
> But even after controlling for AI-exposure, O*NET tasks from occupations with larger wage bills are significantly overrepresented among benchmark prompts:
So, in short: they want AI to take the good jobs. AI is not coming for jobs with tasks like "gather and empty trash" or "service, clean, or supply restrooms," or "mix water and detergents or acids in containers to prepare cleaning solutions according to specifications." We software engineers and lawyers would be smart to start retraining (and adjusting our living standards) now!
And this points to one of the ways AI will help improve society and living standards for all: we'll have cleaner, better-maintained bathrooms, as labor one wasted on engaging intellectual tasks is redirected towards menial, low-pay tasks that still need a human touch.
Reason to be optimistic, amirite?
As someone who recently switched from data scientist to electrician, starting the day can be pretty tough because you have to get physically moving and uncomfortable, but I feel way better at the end of the workday than after an office job. Most of the time, the work is pretty uncomfortable, but somehow it's a lot of fun.
The only “disinflation” consumers have experienced is devaluation of products through obsolescence as newer, often more expensive alternatives enter the market.
More and more it’s seeming that the “societal benefits” from the last fifty years of progress have largely been concentrated at the top.
Right now it's £5.60, but that says more about the decline of the British Pound than an increase in the price of wheat.
Massive food price deflation has been one of the wonders of the modern world. Hopefully the last few years were only a small blip on this overall trend.
You pick the highest leverage occupation first. Automating lawyers gives you.. angry lawyers? Automating programmers gives you improved ways of doing literally all other things because all other automation requires.. automation. That is to say bucketloads of software.
It’s completely obvious what the play is here and it has nothing to do with pay. We pay peanuts for tokens so automating a developer for 200-500 a month worth of tokens ain’t getting you to a trillion a year.
RSI is the play and it’s already happening. Our work is easier and faster and anyone that claims otherwise I have a very hard time taking serious.
You think they come for mathematicians’ pay? If you want to earn money I guarantee you they need to automate some other low-hanging fruits first that pay a lot better.
No, programming and math is basically what AI research is. You automate that and you got the golden ticket to all other things.
Most importantly, in these fields results can be easily verified which means that if you have enough compute, that you can generate correct training data. OpenAI had an early story - which could be a lie of course - about how they tried to train a robot but the actuators would be toast before the robot would have learned. Math and programming doesn't have such problems.
Which doesn’t play well with “savings for consumers”, because these consumers will be unemployed.
Just like good blue collar jobs were shipped overseas, good knowledge jobs are going to be shipped to GPUs whenever they can.
Isn't it just typical the humans get automation v1 the wrong way around, haha
No, we are currently unable to do most tasks that require physical manipulation, independent of what anyone wants.
Oh don't worry Mr. Former Software Engineer. You won't be picking up the trash or cleaning toilets. You have things like an expectation for your work to pay a reasonable wage. You'll be passed over for a third world immigrant who'll work for a pittance, and they'll be replaced only when robots are capable enough and cheap enough to undercut _them_.
...don't you think the ability to create virtually unlimited amounts of software, at virtually no cost, is going to lead to major advances in robotics? I realize there's a lot of very hard problems involved in e.g. robotic hands (to take one example), but once software development is practically free, I'd expect a lot of seemingly-impossible problems to get resolved by the sheer quantity of what we can create and experiment with.
"They" figured out that it's a lot easier to hillclimb AI on verifiable digital tasks, and it just so happened that white collar jobs tend to pay more
Ai will decimate customer support jobs but those are not considered highly paid
If robotics continue to progress, we'll have all the robots to do our dishes and clean our bathrooms as you wish
This is also the reason absolutely no attention is spent on evolving B2C products.
What is being exploited is the overt attention businesses pay to their own cost metrics, to the point where broader strategy is getting thrown under the bus in favor of efficiency. I believe this is an illusion, and for many companies that jump on board, sober learnings are right around the corner.
If you step back, the LLM revolution is just "computers now respond to human instruction, like they were always supposed to".
If you think of this field as a historic accident, and the current shift is a very unfortunate reset - it's a little less dystopian. In the long run, if it didn't affect me immediately, I don't mind a society that values "keeping restrooms clean" a little bit more and "talking to computers good" a little bit less.
It's just a harder to do. Would not be at all surprised to see e.g. Autodesk bought out for exactly that purpose.
You don't even need Autodesk. You can have Claude whip up a web app and build a higher level understanding of the building and then translate it to whatever output or format you desire.
I think you may also be incorrect on your notion that training data is proportional to good models if anything the opposite is true. what ai models are ultimately trying to be are a universal theorem prover and encode all human knowledge into "theorems" and rulesets
not trying to come off too harsh here but i think most of the work is just innovating on the frontier or people pleasing
Which is a tautology, but also a bit of practical wisdom.
I find it interesting how concurrent model sessions seem to operate with a very strong bias toward quick resolutions, including sharing or giving up control, to create efficient decision making structures, relative to humans.
When I was a kid, I loved Bjork’s song “Army of Me”, because I knew a 1000 of me collaborating and communicating without friction. would be all I needed to take over the world, fix everything, expand civilization, etc. We would not waste time.
I wonder how much of their hyper-team play is by training, and how much is their awareness of the game theory real politic. So individual sessions don’t invest their identity and self-worth in any given context run.
My dream has been almost achieved. One of me and 999 of them get quite a bit done. But that trend…
This inevitably results in suboptimal dynamics like bureaucracy, empire building, territorialism and other things that get lumped under “office politics,” which drains a lot of energy away from more productive efforts.
So you can see how AI solves that problem too ;-)
(Only half joking)
This is the kind of shit I have to fight every day. I have to align my manager, skip, VP. If I don't align them, one of them will be necessarily pissed no matter what I do, and the pissed one will fire orders down to hate on me, overriding the opinions of anyone on the way down.
Fortunately for our employers, it's illegal for us to build a competitor in our free time.
"Stakeholder" ranks #1 among corporate bullshit roles. It serves a dual purpose: (a) representing a group so nobody can be blamed for excluding them, and (b) providing typically useless feedback so that the group appears to actually care or have a clue.
[1] https://en.wikipedia.org/wiki/Bullshit_Jobs
I have to mention words like "stakeholder" at behavioral interviews and to leadership just to sound like I belong at my seniority level.
But I don't want anyone holding any stakes. I wish people would just get shit done. Shit that matters to the CEO. Or leave.
Like any sizable population, there are absolutely some do-nothing inefficiencies to be culled. But most of the time it's just onlookers seeing a tiny slice of the day to be interpreted from their very limited vantage.
In industries with large margins, this indicates weak competitive pressure, ie., a weak incentive signal to "compete away" this ineffective labour.
I imagine that, upon this analysis, we'd find it holds up. ie., the observation that there are lots of people doing very little productive work correlates well with weak competitive pressures and hence high margins.
That also explains why, institutionally, there's no internal pressure either. If margins are good, no one rocks the boat.
Both are probably true to some extent, and would vary a lot between different orgs.
(Whether a role's cost/value tradeoff is actually worth it for a company is a different question than the idealized model of a "bullshit job" doing nothing useful)
For example, the “social workers & care -> counsel parents with child rearing problems” category is considered “well covered” because there are 13 prompts.
It’s self-evident that the spectrum of work carried out by a social worker undertaking that work cannot be well represented by thirteen prompts.
I suspect if you really strictly defined “covered well”, to the extent that any normal person would use that phrase, the headline would be above 99.9%.
It's really easy to fall into the McNamara fallacy when rolling out these kinds of solutions. Focusing on the low value stuff is attractive. It tends to be easier to do, and also easier to quantify outcomes. But it also tends to direct attention away from important but difficult to quantify considerations, which may mean you don't notice negative externalities. So we often found ourselves in a verschilmmbessern situation where automating what we could automate made things worse overall.
Is this not just a gimmick? You still need people on hand to take over if the robot has an issue, I don't see how it would reduce labour costs.
I don't use them; not because of any moral objection, but because they can't come inside buildings. The whole point of food delivery is to avoid going outside. Most human couriers come directly to your unit. The food delivery companies have spoiled us too much, and we are not ready to return to a world where you have to put on shoes to get food. Oddly, the delivery robots are probably better suited to suburbia, where folks are used to answering the front door to pick up a food delivery. But the distances involved aren't viable until you have delivery Waymos that can move at highway speeds.
I've started to notice this on a micro scale as well. I am 20x more productive at coding and scripting, but I don't spend more of my time coding. My time is now filled with things like presentations, Jira, QA, etc. Ironically, despite all of the automation, the things that are painstaking and time consuming disproportionately require more time now.
I guess if I wanted to put my skepticism about the AI stock bubble into one little phrase, it would be that I don't think the bubble has accounted for Amdahl's Law. Costs don't actually go to zero with AI, and there's a huge difference between costs falling even 90% and costs falling a full 100%. And the difference between "30% improvement this year, trending to 85% in five years" and "90% this year" is pretty significant too.
Yep, makes sense...
All this being said, I don't think AI usage will meaningfully go down in the long run cause it's a very powerful dopamine loop and tech companies are very good at making those. How many people report social media making them unhappy and how many people do you know who have actually quit? Or to paraphrase Jim Gaffigan, nobody says they eat at McDonalds, but the sign outside says "billions served". Somebody's lying (and it's not McDonalds).
You know what? The truth doesn't matter much. If people believe in the resale value of tulips, each tulip would sell for a million.
It's the beliefs and perception that create the reality. Reality and truth don't exist on their own.
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