Opinion by: Ahmad Shadid, founder of O.xyz and co-founder of IO.ne
Not a single week passes by without a new artificial intelligence startup coming out of stealth.
With a slick interface, clever prompts and an OpenAI key powering the back-end, these ventures often boast seed valuations that make even a veteran chip designer blush.
Behind the gloss sits little more than “prompt arbitrage.” Most of today’s so-called “AI companies” are just thin packaging layers without defensible technology.
The company pays a few cents to ask a proprietary model a question, then charges users a few dollars for the same answer and pockets the difference. That margin lasts only until the platform decides to rate-limit the traffic, raise prices or change its terms of service.
That fragility is invisible to most users, but it’s lethal to the sector’s long-term credibility. When the gatekeeper pivots, thousands of copy-and-paste apps will vanish overnight, taking investor capital and customer data.
The great API purge
What comes next will be a reckoning: We will have witnessed the “Great API Purge” by 2027, a moment when the platform landlords reclaim their territory. They will implement 10x price hikes and draconian usage quotas, obliterating 70% of today’s AI startups overnight.
The only ventures left standing will be those that built their foundation on the bedrock of decentralized infrastructure.
An industry built on rented compute cannot call itself infrastructure — it is merely UX theater.
Rented compute is a single point of failure
Reliance on centralized APIs introduces several systemic risks. First comes cost volatility: A sudden fee hike for the GPT-4o endpoint can easily double some projects’ operating expenses.
Next is supply risk: GPU shortages have forced several leading providers to throttle throughput for smaller customers during peak demand. Finally, licenses can be revoked. A simple policy update can bar entire content categories, turning once-viable writing tools into empty screens.
Related: Bitcoin miners gambled on AI last year, and it paid off
Each risk traces back to the same bottleneck: control of the inference pipeline. That choke point mirrors the early days of online payments, when Visa and PayPal could freeze accounts at will. Finance solved that problem in 2009 with Bitcoin. AI now faces its own Satoshi moment.
Decentralized AI echoes Bitcoin’s breakthrough
Bitcoin separated money from any single issuer by distributing consensus across thousands of nodes. A decentralized AI stack can do the same for compute, models and data. Instead of a single API key, an application would tap multiple model pools.
Execution hops to whichever GPU cluster clears the job fastest and cheapest. In this new paradigm, model APIs are treated like interchangeable commodities. Model checkpoints live on durable storage such as InterPlanetary File System or Arweave; parameter updates propagate through verifiable proofs. The result is an antifragile mesh where no vendor can lock the doors.
The shift is already visible. Some networks auction idle GPU cycles to the highest bidder, while other projects design agents that can migrate between models without rewriting code. If the largest provider goes dark, workloads reroute, like Bitcoin rebalances hash power after a mining pool collapse.
Defensible AI roots itself in Web3
Web3 supplies the incentive layer that Web2 lacks. Tokens meter compute and data, proofs certify results, and onchain payouts align thousands of independent GPU operators, model curators and data stewards without a central landlord. Censorship-resistant storage plus validator-checked execution keeps weights, prompts and agent state reachable even if a cloud region or jurisdiction goes dark.
Just as important, smart contract governance lets stakeholders vote in new safety rules or swap out underperforming models without begging a platform for permission. Any stack that rests on Software-as-a-Service keys will bend to the next terms-of-service tweak, one that embeds value, logic and upgrades onchain and can keep running long after today’s wrapper apps disappear.
Market stakes for investors and builders
The repricing will be brutal. Startups valued on user-interface sizzle will trade at a discount once capital realizes that margins depend on someone else’s server farm. Conversely, tokens and equities tied to verifiable compute networks, licensed data cooperatives and agent runtimes will command a premium.
Institutional demand is already shifting. Asset managers cite resilience and fee capture as primary theses. Meanwhile, large language model providers want guaranteed content rights.
Shutterstock’s partnership with OpenAI proved that clean data is worth real money; decentralized tokenized licenses extend that logic to every blogger and podcaster on the web.
Tokenize access and make the bots pay
Bitcoin taught a fundamental lesson for the digital age: Lasting value is built on resilience. An industry that ignores this does so at its peril, creating an illusion of infrastructure on a foundation that a landlord can revoke at any moment.
The enduring projects of the AI era will therefore be governed by code instead of contracts. Instead of the current funding cycle, these projects are engineered for the subsequent collapse and the next infrastructure shift. To be successful, they will be model-agnostic, compute-diverse and owned by their communities. They will be the ones who understand that the future of intelligence cannot be leased. It must be built, and its keys must belong to its builders.
Opinion by: Ahmad Shadid, founder of O.xyz and co-founder of IO.ne.
This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice. The views, thoughts, and opinions expressed here are the author’s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.
