The platform under the world's most consequential systems has always known one thing the industry is only now rediscovering: technology exists to serve the business. That conviction is the advantage we carry into what comes next.
It did something quietly radical. It didn't ship a faster computer. The AS/400 arrived as a single, integrated system built around one conviction: that the technology should disappear into the business it runs. Database, security, integration, reliability — not assembled from parts, but built in at the core. You didn't manage a stack. You ran your business, and the platform carried the weight. IBM said it plainly at the time, and it has only become truer: for modern business, the future began in 1988.
I've spent decades inside that idea. System/36, then AS/400, then IBM i. I built banking and consumer-finance software on this platform and founded companies around it. I spent a decade as a CTO. Across all of it, one truth never moved: when the business has to be right — when it cannot afford to be wrong — this is where the serious work runs.
That 1988 idea was never really about a machine. It was a statement about what technology is for. And what it's for has never changed: technology has only ever been in the business of solving business problems. The computer was never the point. The business was the point. Every platform that mattered, mattered because it served the work — not the other way around.
This is the lens I believe we have to bring to AI — and it changes everything about how you approach it.
Because AI is not, at its core, a technology challenge. It is a business challenge — arguably the largest one most organizations will ever face — that simply arrives looking like a technology project. The instinct almost everywhere is to treat it as tooling: select the model, run the pilot, ship the feature. But that solves the wrong problem with great precision. The real question was never whether the technology can do it. The technology is ready. The real question is what the business is ready to absorb.
And AI poses that question at a scale and speed that is genuinely without precedent. Nothing in the history of enterprise technology has asked an organization to change this much, this fast, this deep into how it actually operates. That magnitude is the whole point — and it's exactly what we track, signal by signal, at signal4i.ai. It is what makes this a business reckoning and not an IT initiative — and it is why the organizations that mistake it for a technology project will execute flawlessly against the wrong objective.
In 1988, "built for business" meant a pairing: the platform and the business, moving as one. A dyad — and for decades it held. But when the technology can act on its own, "serving the business" is no longer something the platform does alone.
So the dyad becomes a triad: the platform, the organization around it, and the people who govern it — carried together. This is not a departure from 1988. It is what 1988's conviction looks like in its next form. The promise is unchanged. Keeping it simply takes three strands now where it once took one.
And the third strand is the one that decides it. The encoded logic lives in the people who have run these systems for decades — their judgment is the uncopyable thing. Prepared to govern the agents, the practitioner becomes the most valuable person in the room. Left beneath them, stranded. The climb your people make →
Here is what gives me real optimism.
The instinct AI most rewards — that technology exists to serve the business, that trust and integrity and reliability are the foundation and not an afterthought — is the exact instinct the IBM i world has carried in its bones since 1988. The rest of the industry is rediscovering it now, under pressure. This community never lost it.
Which means the head start is real and specific. The logic is written down, journaled, secured, and running in production. The people who understand it are still here. The work ahead is closing the Knowledge Distance between that logic and the agents arriving to act on it — and this community starts that work on unusually strong ground. We are not arriving late to this era. We are arriving on strong ground in it — and the only question is whether we move while the ground is still ours.
This is not a transition any one of us makes alone, and it is not one this community needs to make as a follower. The responsibility — and the opportunity — sits on all our shoulders together: IBM, the practitioners who keep these systems running, and the vendors and partners who build alongside them. No single player takes this platform into the next era. We lead it together, or we spend the decade reacting to people who did.
This is also where COMMON matters. As the community that has gathered IBM i practitioners, IBM, and partners for decades, it sits in a position no one else holds — able to help this community meet the moment the way it has met every transition before it, with the thought leadership and education practitioners actually need. That work is bigger than any one person or company, and it belongs to everyone who builds on this platform.
The future of IBM i in the agentic age is a shared project. The more of us who lead it — openly, together, building on each other's work — the stronger the platform's position becomes for everyone who depends on it.
This is the work I'm turning to next. I've built something new for the seam this platform is about to be held across — focused, deliberately, on the question I believe matters most: not whether the technology can do it, but whether the organization is ready to put it to work. It's called Pegasus4i, and it's here. We're building a cohort of early adopters now.
To anyone working on this platform, I'd offer this: the conviction at the heart of 1988 — that technology is here to serve the business — is not something to modernize past. It's the most valuable ground you can be standing on as this next era begins. Treat AI as the business challenge it actually is, lead it together, and the advantage was ours all along.
The practitioner intelligence lives at signal4i.ai. Pegasus4i is where it goes to work.