As a former JavaScript developer yes I could reduce costs by 99%, but it’s not what business wants. They want the able to hire/fire people and not train them, so there are your inefficiencies: a bunch of lower confidence people that need a lot of hand holding.
Technically? Probably. But the 10% cost isn't where the battle is. It's the 90% trust and 'organizational gravity' that legacy companies hold. You can replicate the stack with AI agents in a weekend, but you can't replicate the compliance, the sales relationships, and the 'nobody ever got fired for buying IBM' safety net. AI has lowered the floor for entry, but it hasn't lowered the ceiling for enterprise trust.
Exactly. This is like the greenfield vs brownfield or 'Twitter clone in a weekend' arguments. Cost and complexity grow drastically with success and scale.
I know that, that's why I'm asking the question. But if cost and complexity grow drastically with scale, my question is even more relevant, isn't it ?
If it's easy to spin up a competitor, we should rather see more small companies, not less.
There have always been a million small POC clones of popular apps. Twitter, Trello, <insert popular todo app>, etc.
Doing a subset of what a market leader is doing, but worse, with no path to scale or support, isn’t going to go anywhere.
Yesterday someone vibe coded a password manager in 20 minutes and posted it here. Should anyone use it? Absolutely not. It’s a security nightmare, won’t get support, and the architecture is complete trash, requiring the use to run a local server the background that the app and browser extension talk to. Not to mention it will likely never see an update.
Successful competitors do something new. A lazy vibe coded clone doesn’t nothing new, and they don’t even do all the basics.
From a pure numbers standpoint, absolutely. We're already seeing a wave of folks shipping more PoC products with AI tools. The distinction is that most of these aren't true "competitors" to established companies, more filling gaps and niches if they aren't just a toy clone.
That's the more interesting angle here to me. Rather than building a direct competitor at 10% the cost, agent assisted tooling could make it individually profitable to target small cap, cottage industry type problems that have too much nuance for a one size product. Areas where someone already has deep business insight that provides the value proposition moreso than the labor around coding. Not competitors at 10% the cost, but filling niches that wouldn't have been profitable otherwise.
The danger is that if agents get more capable, the niche markets start to erode. If a generic solution agent can acquire domain knowledge and coordinate with customers, even these 'competitors' become risky again.
I think you're onto something. I started my own firm on a shoe-string compared to my boss' existing company and have been doing quite well. The hardest thing may be lead generation, but I poached a bunch of those too.
Nope. 90% of my company’s employees are doing highly skilled work that requires interacting with other humans face to face with physical presence.
And turning our tech over to AI would undoubtedly be a disaster of security and compliance fails in a highly regulated industry — if it didn’t simply hit a complexity wall that it couldn’t spaghetti code its way through.
And that’s setting aside UX. We have in-depth conversations around twice a week to make decisions at the intersection of data needed for business logic, compliance constraints, and managing both of those while keeping UX “delightful”. I’m not convinced an LLM will ever be able to handle those with halfway decent judgement.
YMMV if your product is an issue tracker, CRM less complex than salesforce, or newsletter platform, etc.
As a former JavaScript developer yes I could reduce costs by 99%, but it’s not what business wants. They want the able to hire/fire people and not train them, so there are your inefficiencies: a bunch of lower confidence people that need a lot of hand holding.
Technically? Probably. But the 10% cost isn't where the battle is. It's the 90% trust and 'organizational gravity' that legacy companies hold. You can replicate the stack with AI agents in a weekend, but you can't replicate the compliance, the sales relationships, and the 'nobody ever got fired for buying IBM' safety net. AI has lowered the floor for entry, but it hasn't lowered the ceiling for enterprise trust.
I AIed a new currency coin and am currently llmmaxxing an airline rooted around no assumption models.
Traditional moats have crumbled. New norms challenge established truths. What were barriers are now entry.
A phase shift across industry where entrepreneur becomes the incumbent. This time it is different. I say go for it!
A toy-version MVP might be cheap. What happens when you need to deploy it, scale it, secure it, support it, upgrade it, market it, etc.
A large company is more than a single GitHub repo.
Exactly. This is like the greenfield vs brownfield or 'Twitter clone in a weekend' arguments. Cost and complexity grow drastically with success and scale.
I know that, that's why I'm asking the question. But if cost and complexity grow drastically with scale, my question is even more relevant, isn't it ? If it's easy to spin up a competitor, we should rather see more small companies, not less.
There have always been a million small POC clones of popular apps. Twitter, Trello, <insert popular todo app>, etc.
Doing a subset of what a market leader is doing, but worse, with no path to scale or support, isn’t going to go anywhere.
Yesterday someone vibe coded a password manager in 20 minutes and posted it here. Should anyone use it? Absolutely not. It’s a security nightmare, won’t get support, and the architecture is complete trash, requiring the use to run a local server the background that the app and browser extension talk to. Not to mention it will likely never see an update.
Successful competitors do something new. A lazy vibe coded clone doesn’t nothing new, and they don’t even do all the basics.
From a pure numbers standpoint, absolutely. We're already seeing a wave of folks shipping more PoC products with AI tools. The distinction is that most of these aren't true "competitors" to established companies, more filling gaps and niches if they aren't just a toy clone.
That's the more interesting angle here to me. Rather than building a direct competitor at 10% the cost, agent assisted tooling could make it individually profitable to target small cap, cottage industry type problems that have too much nuance for a one size product. Areas where someone already has deep business insight that provides the value proposition moreso than the labor around coding. Not competitors at 10% the cost, but filling niches that wouldn't have been profitable otherwise.
The danger is that if agents get more capable, the niche markets start to erode. If a generic solution agent can acquire domain knowledge and coordinate with customers, even these 'competitors' become risky again.
No - it costs $0 already
I think you're onto something. I started my own firm on a shoe-string compared to my boss' existing company and have been doing quite well. The hardest thing may be lead generation, but I poached a bunch of those too.
Nope. 90% of my company’s employees are doing highly skilled work that requires interacting with other humans face to face with physical presence.
And turning our tech over to AI would undoubtedly be a disaster of security and compliance fails in a highly regulated industry — if it didn’t simply hit a complexity wall that it couldn’t spaghetti code its way through.
And that’s setting aside UX. We have in-depth conversations around twice a week to make decisions at the intersection of data needed for business logic, compliance constraints, and managing both of those while keeping UX “delightful”. I’m not convinced an LLM will ever be able to handle those with halfway decent judgement.
YMMV if your product is an issue tracker, CRM less complex than salesforce, or newsletter platform, etc.