A field note for business owners tired of being told blockchain will fix everything
In 2018, Maersk and IBM announced TradeLens — a blockchain platform meant to digitise global shipping documentation and finally get rid of the mountains of paper that slow down every container that crosses an ocean. It signed up dozens of partners. It was, at the time, the flagship example every consultant used when they wanted to show you “blockchain in the real world.”
By the end of 2022, it was dead. Maersk and IBM shut it down, and the reason wasn’t the technology — it was people. Competing shipping lines didn’t want to hand their data to a platform co-owned by one of their biggest rivals. The tech worked. The trust didn’t.
I open with that story because it’s a useful corrective. Every few years, someone predicts blockchain will “revolutionise contracts,” and five years later, the revolution has quietly become a pilot project, then a case study, then a slide in someone’s old deck. If you’ve sat through enough of these cycles as a business owner, a healthy scepticism is earned, not cynical.
But something genuinely different is happening this time — and it isn’t blockchain doing it alone. It’s blockchain finally getting a partner that can do the part it was always bad at: understanding messy, real-world, non-binary information. That partner is AI. And it changes the five-year forecast quite a bit.
What blockchain actually got right
Strip away the hype, and blockchain solved one specific problem well: letting parties who don’t fully trust each other agree on a single, tamper-proof version of events, without a middleman adjudicating every step.
That’s precisely why it has worked in narrow, well-defined settings. HSBC’s Contour platform for trade finance is a good example, not a hypothetical one. In 2019, HSBC India and HSBC UAE ran a live letter-of-credit transaction between Tata Steel and a UAE importer entirely on blockchain — a process that normally eats seven to ten days of document exchange compressed into about a day. HSBC repeated the exercise with ING and Reliance Industries on R3’s Corda network shortly after, with similar time savings. These weren’t press-release pilots; they were live trades with real goods and real banks.
Notice what’s common to the successes and absent from TradeLens: a small, defined circle of counterparties, a narrow document set, and a clear financial incentive for everyone at the table to cooperate. Blockchain thrives inside those boundaries. It struggles the moment you ask an entire, competitive industry to share a ledger.
The part blockchain was never going to solve — and AI just did
Here’s the limitation nobody likes to admit: a smart contract only executes correctly if the conditions it’s checking are unambiguous. “If payment received, release goods” works beautifully on a blockchain. “If the goods arrived in acceptable condition” does not — because “acceptable condition” isn’t a yes/no fact sitting in a database. Someone, or something, has to interpret it.
That’s the gap AI is now filling, in two distinct ways.
First, on the drafting and negotiation side. Contract review platforms — Harvey, Ironclad, Icertis, Luminance, Spellbook, and DocuSign’s Agreement Cloud (which absorbed Lexion), among others — have moved from “search this PDF for a clause” to reading an entire contract set, flagging where a new vendor agreement conflicts with an existing data processing agreement, and drafting a redline against your playbook. Legal teams report that contract review, which used to consume hours, now takes a fraction of that. This doesn’t touch blockchain at all, but it’s the necessary precondition: you can’t put a contract on-chain until AI (or a very patient lawyer) has made its terms machine-readable in the first place.
Second, and more interestingly, on the verification side. Chainlink — the oracle network that feeds real-world data into blockchain smart contracts — has spent the last two years building infrastructure specifically to let AI models certify the fuzzy, real-world conditions that smart contracts can’t check on their own. Banks are already piloting Chainlink’s AI-assisted oracles to extract and verify data from unstructured documents like PDFs and scanned filings, so that a smart contract can act on something that used to require a human to read and sign off on. That’s the genuinely new piece: AI as the judgement layer, blockchain as the execution and record-keeping layer.
The law has quietly caught up, too
It’s worth knowing that this isn’t sitting in a legal grey zone waiting for lawmakers to catch up. In 2021, the UK Law Commission concluded, after a formal review, that English law already supports smart legal contracts as legally binding agreements — no new legislation required, provided they meet the same basic tests as any contract: agreement, consideration, and an intention to be bound. If your business has any UK-linked contracts, this matters more than it sounds — the legal plumbing is quietly ready even where the business habits aren’t.
What five years out actually looks like
Not “every contract on a blockchain.” That prediction has been wrong for a decade and will still be wrong in 2031. What’s more realistic is a three-tier split:
- Routine, parametric agreements — trade finance documentation, insurance payouts triggered by verifiable events, royalty and licensing payments, vendor SLAs with measurable KPIs — are increasingly self-executing, with AI verifying the trigger condition and blockchain handling settlement and the audit trail.
- Standard commercial contracts — the bulk of what any mid-sized business signs — are largely AI-drafted and AI-reviewed against a playbook, with humans approving rather than redlining line by line, and blockchain used selectively where multiple parties need a shared, tamper-proof record.
- Strategic, relationship-defining contracts — joint ventures, M&A, anything where the relationship matters as much as the words — will stay stubbornly human. No amount of AI or blockchain changes the fact that trust between people, not code, is what makes these deals survive their first disagreement.
What to actually do with this, starting now
If you’re running a business and wondering where to place your attention over the next few years, three things are worth doing now rather than in 2029:
- Look at your highest-volume, lowest-ambiguity agreements first — trade documentation, standard vendor contracts, insurance and warranty claims. That’s where AI-plus-blockchain pays off fastest, exactly as it did for HSBC’s letter-of-credit trades.
- Get an AI contract review tool into your legal workflow before you worry about blockchain at all. The drafting and review layer matures faster, costs less to adopt, and pays for itself regardless of whether you ever touch a distributed ledger.
- Learn from TradeLens, not just from the winners. Any initiative that depends on your competitors sharing data with you on a common platform will move at the speed of trust, not the speed of technology. Pick partners and processes where everyone’s incentives already point the same way.
Contracts have always been a trust mechanism dressed up as a legal document. Blockchain changes who verifies the outcome. AI changes who — or what — decides whether the conditions were actually met. Five years from now, the interesting story won’t be “blockchain changed contracts.” It’ll be that nobody noticed the change happening, because it arrived quietly, one narrow, well-chosen use case at a time.
Sources referenced: Maersk/IBM TradeLens shutdown announcements (2022); HSBC-Tata Steel and HSBC-ING-Reliance Industries blockchain trade finance transactions (Trade Finance Global, FinTech Futures); UK Law Commission’s 2021 advice on smart legal contracts; Chainlink’s public documentation on AI-oracle infrastructure; public reporting on AI contract review platforms (Ironclad, Harvey, Icertis, Luminance, Spellbook, DocuSign).
