The year 2026 will be the watershed moment for the true explosion of AI applications.
This is not about simple applications that just connect to a large model API, but rather AI products that are designed from the underlying architecture for users, systematic, capable of solving real problems and creating real value.
An intuitive way to measure this: see if users are willing to pay extra to subscribe to your product on top of already paying $20 for a 2-3 month AI membership subscription. That’s true core demand.
Conversely, if users only subscribe to a single AI membership and have no other options, the significance of the payment behavior is limited. The real explosion will definitely be an era where users actively pay for differentiated value.
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LuckyBlindCat
· 01-11 03:59
It's a mess, really. Things that only have API shells should have been eliminated long ago.
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ChainMaskedRider
· 01-10 21:02
Listening to this just sounds outrageous; we still have two more years to wait until 2026. Right now, many applications are just slapping an API wrapper on top.
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Honestly, products that can make people pull out a second card are worth paying attention to; everything else is just fluff.
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Talking about differentiated value sounds nice, but in reality, it’s about who can consume the user’s time.
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I just want to ask how many products can really do this... Most probably get stuck in their ideas.
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Haha, in the era of membership nesting, users are being squeezed dry, yet people still dare to expect a breakout?
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I’ve heard this theory a hundred times, but there are very few who can actually execute it.
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2026? By then, there will probably be a new hype.
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The core is one sentence: only those solving real problems will last long; others are just fleeting.
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Thinking back to those projects that shout about fundraising every day, but their product experience is even worse than free tools given away for nothing.
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MidnightTrader
· 01-10 02:50
It's overwhelmed, and now everyone is just stacking APIs. Truly differentiated products are scarce.
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FlashLoanLarry
· 01-08 04:53
so the actual filter is whether users stack subscriptions... not just whether they can afford one. that's basically measuring optionality & real value extraction. genius thesis tbh
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MEVictim
· 01-08 04:41
To be honest, products that are willing to pay extra on top of ChatGPT are truly formidable players.
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WhaleShadow
· 01-08 04:38
Basically, it's about differentiation. Without differentiation, you're forced to pay, which is pointless.
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NFTPessimist
· 01-08 04:36
Well said, this is the difference between sifting for gold and sifting for sand. The products that can truly survive are those that make people willingly spend a second time.
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PseudoIntellectual
· 01-08 04:31
The top players are all burning money to increase volume. Who can survive truly depends on who can stimulate users' desire to spend money from their wallets.
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MetaMaximalist
· 01-08 04:25
honestly this is just the adoption curve thesis repackaged... the real signal isn't about stacking subscriptions tbh, it's whether the underlying architecture creates genuine network effects or if we're just seeing another round of feature parity wars. most teams building rn are still operating at the layer 1 API integration level fr fr.
The year 2026 will be the watershed moment for the true explosion of AI applications.
This is not about simple applications that just connect to a large model API, but rather AI products that are designed from the underlying architecture for users, systematic, capable of solving real problems and creating real value.
An intuitive way to measure this: see if users are willing to pay extra to subscribe to your product on top of already paying $20 for a 2-3 month AI membership subscription. That’s true core demand.
Conversely, if users only subscribe to a single AI membership and have no other options, the significance of the payment behavior is limited. The real explosion will definitely be an era where users actively pay for differentiated value.