17 Aug 2026

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The Vardot Team: Is Your Drupal Platform AI-Ready? Here's How to Know

AI is changing how people find your content. Score your Drupal platform's AI readiness across five areas in five minutes.

17 Aug 2026 1:07pm GMT

The Drop Times: Open-Weight AI Is Reopening an Old Web Question

Last week's AI releases put a familiar question back into view: who controls the technology that digital systems depend on? On 10 August 2026, Meta released Muse Glimmer, a 30-billion-parameter model optimised for local agent workflows, with its weights under the Apache 2.0 licence. Mark Zuckerberg, Meta founder and CEO, argued in an essay published the same day that superintelligence should be broadly distributed rather than concentrated in a small number of hands. On 14 August, Alibaba Group's Qwen team released Qwen3.8-27B, another downloadable model with weights under Apache 2.0.

There is a catch in calling all of this "open AI." Downloadable weights under an open-source licence do not by themselves establish that an entire AI system is open source. Under the Open Source Initiative's Open Source AI Definition, the preferred form for modification also requires sufficiently detailed information about the data used to train the system, the complete source code used to train and run it, and the model parameters. Even so, downloadable weights can expand practical deployment choices by allowing organisations to run and adapt models on infrastructure they control rather than relying solely on a vendor-hosted service.

Drupal is relevant here not because a content management system and an AI model are equivalent, but because the project has spent 25 years working within open-source principles. Drupal marked its 25th anniversary on 15 January 2026, and the Drupal Association's Open Web Manifesto describes the open web through principles including freedom, decentralisation, participation, choice, privacy and security. The comparison should remain limited: a content management system, model weights, training data, source code and computing infrastructure are different layers with different licensing and governance problems. The shared principle is practical: leave organisations room to choose infrastructure, modify systems, and avoid unnecessary dependence on a single provider.

The larger question is whether those principles are becoming easier to recognise beyond software-development communities. AI is forcing organisations to consider what happens when a technology provider changes terms, raises prices, closes a service or simply stops fitting their needs. Drupal cannot answer AI's licensing, computing, data-governance or portability questions, and open source does not guarantee independence. What Drupal can offer is a 25-year example of why choice, modification and exit matter when digital infrastructure becomes important enough to depend on.

As AI becomes another dependency inside websites and digital services, that old open-web argument has a new place to land. The question is no longer only what an AI model can do, but how much control remains with the people and organisations that build on it.

Follow The DropTimes on LinkedIn, X, Bluesky, and Facebook, or join #thedroptimes on Drupal Slack.

This issue of Editor's Pick was written and curated by Kazima Abbas.

17 Aug 2026 10:16am GMT

Dries Buytaert: The software business after code scarcity

If AI can generate an application from a description, is software still worth anything?

I have lived with a version of that question longer than most.

I released Drupal for free more than twenty-five years ago, and later co-founded Acquia, which has grown into a large enterprise software company built around Drupal.

Granted, Drupal is free in a different way than AI-generated applications are free, but I'm not sure that changes the basic question of how to build a successful business around either one.

Open Source made code abundant by giving people broad rights to use, modify, and redistribute it. AI is lowering the cost of producing code. One lets you copy the software; the other makes it cheaper to recreate software.

Free code changes what customers pay for

Because anyone could use Drupal for free, Acquia could never build a durable business around access to the code. From the start, we had to make money another way.

We built that business around helping enterprises build, run, and manage Drupal applications throughout their lifecycle. That includes hosting, but goes well beyond it: the tools and services needed to develop, deploy, secure, scale, monitor, and improve applications in production.

Proprietary SaaS typically bundles access to the application with the hosting and operations required to run it. With Open Source, organizations can run the software themselves or choose who hosts and operates it.

As AI makes applications cheaper to recreate, the traditional SaaS bundle of software and operations comes under pressure. Customers may become less willing to pay for access to application functionality without becoming any less willing to pay to run and manage applications in production. For Open Source businesses those economics are not new.

Dependability becomes the product

Software can be free, or nearly free, without becoming cheap to depend on. The more people and organizations depend on a system, the more of its value comes from operating it securely, reliably, and at scale.

Once people depend on an application, the cost of its failure has little to do with how much it cost to build. An application that costs $1,000 to build can still cause a $10 million failure.

As AI makes enterprise applications easier to create, adapt, and integrate, they still have to be deployed, secured, scaled, monitored, and run reliably over time. As software cost comes down, dependability becomes a differentiator.

Linux is abundant; dependable cloud infrastructure is a service worth paying for. Drupal is abundant; dependable digital experience infrastructure is a service worth paying for.

Acquia has lived with those economics for nearly 20 years. Drupal made the code abundant, so we built our business around helping organizations build, run, and improve what they created with it. As AI makes code cheaper to generate, that business model may start to look a lot less unusual.

Either way, more software companies will have to answer the same question: if the code is abundant, what are customers really paying you for?

17 Aug 2026 9:35am GMT