I imagine you're going to have people trying to automate the whole GTM lifecycle, but eventually the developer that thinks they can bootstrap a one man enterprise without actually doing any kind of social interaction will run into a wall.
Absolutely. But this begs the question that businesses want to also sign up to maintain whatever product they've built, on top of their core business.
"Service" is the word that people seem to be forgetting in SaaS. If you roll you own, all you have is software.
But yes, this brings us back to the point that simply building the tool is only a small part of the process...and it has often been one of the most expensive parts of the process.
Even if you can build it in a day B2B SaaS will continue to prosper because they sell peace of mind, reliability and compliance. Not features.
Also due to economy of scale it will always be cheaper to buy something from a vendor that sells it to many clients than to DIY it.
You build a Twitter. Profiles have posts, posts can have images, etc. It's very easy to model the database.
But then how do you make money with it? Now you need to build a separate system for advertising? Or do you want to sell subscriptions? Which means you need to build a separate system to handle payments. This is usually the big one, because when you handle money, what happens if there is a bug and you charge someone without delivering anything? How do you prevent fraud? How do you handle disputes?
Someone posted something illegal. What do you do in this situation? Do you call the police? The FBI? What kind of data do you give the authorities? How much data SHOULD you have been logging in the first place in case something like this happens?
One user doesn't like you so he bought a botnet to DDoS your website. How do you handle this? Are they mass posting? Mass creating accounts? Is it possible for them to exhaust all the usernames possible and then nobody can create an account anymore?
Your website is online but if the server blows up you'll lose all the data in the database. You need backups. You need a system to ensure the backups are actually working. But then some guy from the UK said he wants his posts all deleted. What are you going to do now, because his posts are also in the backups, and you don't want to touch those.
Trolls are posting things against the ToS. Who handles these things? Shadowban? So there needs to be a shadowban system? Moderators? So there needs to be a moderator-only section of the website? Should this be integrated with the main website or not?
Then you look at this horrendous mess of 6 paragraphs and you think back about the first paragraph that already did everything you wanted from Twitter. All these other systems, most of the work, and all you actually wanted was the first paragraph.
What actually happens in a startup is you encounter these problems one at a time as they arise.
Use stripe, cloudflare, whatever the legal equivalent of these stuff, S3.
Yes they might take most potential profit, but you'll also not have a huge payroll.
AI has solved the 'coding' part. The business is still very human because they are the ones buying, for now.
What are the higher-order effects when anyone can do this, and *aaS becomes a market for Lemons?
In the very long term, software will become a commodity, as you mentioned. Process and workflow may move into JIT delivery for the need at hand, in theory the data layer will be comprehensive and clean and the days of clicking around a bunch of stuff to fulfill process needs will move into a lower latency activity like...talking to your agent.
I saw a quote today by Brian Eno(1995) that said: "So the question becomes not whether you can do it or not, because any drudge can do it if they're prepared to sit in front of the computer for a few days; the question then is: of all the things you can now do, which do you choose to do?" and it resonated with me a lot.
This is true when you had to work hard for those ideas. Now you have LLMs. It means more people can sling a lot more crap at walls with fewer barriers to entry.
You will trade initial development budget for advertising budget, trying to position your product in proximity with people who are known quantities.
It’s not about some single dude disrupting the saas market. It’s about largish companies who already have internal dev teams, slowly weening their company off these ginormous one size fits all saas products and building local, tailored solutions.
It’s death by a thousand cuts from the erosion of their highest paying customers.
Let’s put the cost of code production at 0: regulatory compliance with payment processing laws or industry oversight is a recurring job that’s common for the whole industry when it changes. SaaS companies have hundreds of customers to attend, these become first class business functions. New demands won’t be in training data for LLMs, so someone needs to be doing this. SaaS has the funds and customer base to have dedicated experts at these functions, but it’s dead capital and nigh-impossible hiring in a tiny talent pool for the rest of the market… the delta to get Salesforce or SharePoint not to be total ass and fully customized is orders of magnitude smaller than detailing those foundations, and as people who sharecrop on platforms like those know, the devil is always in the details. Those internal teams just aren’t positioned to juggle both sides of that coin, they can’t be experts, mistakes can be existential, and the liability picture is so very ugly… coding is the least of it.
Into this, MBAs are not static. It’s not gonna take more than a few “vibe coding ate our CRM data” high profile snafus, or industry think pieces to map out why customization is faster/better/smarter, to get clear business dogma around this. A witty turn of phrase about focusing on your actual business.
I think ‘no one ever got fired for hiring IBM’ x 5 is on the horizon, and the evil marketers at Salesforce, MS, and the rest are gonna work hard to grow their piece of the pie. They have LLMs too, only with better models and unlimited tokens. And our executives will be checking directly with their LLMs about how to invest (the consultants, journalists, fanboys, and social media bots too…).
In some sense having customer able to prototype what they want is a good thing. I did it myself as i was at the time on that side, and having a quick-whip-it tool was a good thing to quickly get some feature that was missing in the major software before that major software would add it (if at all). (And if one remembers for example Crystal Reports - while for "reports", it and the likes were in many senses such quick-whip-it tools for a lot of such customization that was doable by the customer.)
So, after initial aftershock - "Ahhhh, we don't need software companies anymore!" - we'll get to the state with software companies still doing their thing just with a lot of AI as specialization is one of the main thing in modern economy and AI becomes most powerful tools of the trade. (and various AI components themselves will be part of software delivery, like say a very fine-tuned model (hosted or on-premise) specific to the customer and software - Clippy on steroids)
(Of course some companies wouldn't survive the transition just like some companies didn't survive the transitions to client/server, cloud, etc. while some new companies will emerge like Anthropic has today or Borland had at the time)
LLM coding is going to create a cambrian explosion of these tools. It’s going to be very interesting to see the remnants of this wave 30 years down the line.
I’d bet that we skip SaaS entirely and go to Anthropic directly. This means the ai has to understand that there are different users with conflicting requirements and that we all need the same exact copy of the burn rate report.
That might turn out to be less than reliable over time, as bots are already screwing up systems with fake information and it's probably going to get worse.
A CTOs job isn't to save money but to spend money effectively. Saving money by increasing risk is not neccesarily a prudent move.
American capitalism hides the depressing fact that rarely does the best succees.
AAI momentum is parallel to just buying lottery tickets and doing so with the belief that you know the real odds, so one can overwhelm with quantity of tickets.
But you are not limited to only using LLM for coding.
I agree that marketing and sales is as important as product and technology, but they are not necessarily safe.
Prototype maybe. Go to market maybe not so. It's giving false hope. You're just taking more shortcuts with prototyping.
