Creating with AI: Why This Revolution Won’t Slow Down

AI is no longer a trend. It is already changing the way products are designed, tested, and launched.

So the goal of this article is not to once again show you the “magic effect” of AI (you’ve already seen thousands of pieces of content on the topic) but rather to share my thoughts and perspective as an agency founder on the front lines, on what explains its success.

Introduction

AI-assisted creation, or vibe designing / coding, is the promise of being able to create without technical knowledge, using natural language, by “prompting.”

You’ve definitely seen a video or a post about it, because in 2026 absolutely everyone is talking about it. But some early adopters were already predicting it a few years ago.

Because the promise of breaking the barrier between technical and marketing is not new. We’ve already seen it with no-code / low-code tools.

But this time, unlike tools like Shopify or Webflow (which still required a certain technical learning curve) the promise seems to truly be delivered by AI.

Non-technical profiles are becoming capable of creating, testing, and launching on their own.
And on the other hand, technical profiles can move much faster by relying on systems rather than manual execution.

This time, the promise actually works

I find this quote from the from Erik Schluntz, Member of Technical Staff at Anthropic very accurate.

Because the big difference today with AI is that you can almost completely forget that there is code behind the systems you create, and focus only on the final result.

And to achieve that, you simply need to use the right tools at the right time:

• Lovable and Base44 already allow you to create interesting backend logic
• GPT and Gemini are very strong for image generation, editing and search
• And Anthropic (via Claude) now covers a large part of the web spectrum: web design, animated prototyping, motion design, and even development

But what’s interesting is that the drivers of its adoption are not, in my opinion, purely technical. They are largely cognitive.

A creation machine… highly addictive

Because beyond the tech, what really changes is the psychology behind it.

→ The sense of play

If you’ve tried it, you know. Using generative AI in such a user-friendly interface is extremely addictive.
I often describe it as “playful,” because it literally feels like you’re playing with Claude.

→ Instant gratification

You can create something in seconds and see an idea take shape immediately. And that’s magical.

→ The IKEA effect

Our tendency to overvalue what we create ourselves, known as the “IKEA effect,” plays a huge role. We’re proud of what we produce. So we keep going. And we push it to production.

A combination that makes it a very addictive machine—and accelerates its adoption.

A speed that completely changes the rules

Generative AI makes it possible to materialize ideas and iterate extremely fast, even alone. A marketing profile can now handle the full deployment of an idea, from design to development, with a single tool like Claude.

And we’re already seeing it in the agency:

1. Our designers prototype and animate coded versions
2. And we’re even seeing among our clients early drafts of mockups, or for the most advanced ones, modules directly integrated into production

So it’s no longer a question of skill. It’s a question of speed.

And this speed doesn’t just change how we create. It triggers a much broader dynamic.

A global race for AI

And on top of that, there is a macroeconomic dynamic that is impossible to ignore.

1. Funding

Huge amounts of money are at stake.

The valuations of the leaders are astronomical:

• Anthropic (estimated in the hundreds of billions)
• OpenAI (also estimated in the hundreds of billions)

Even smaller players are raising quickly. Everyone is trying to position themselves. We can even observe pivots happening, for example with the shoe brand Allbirds.

2. Competition

We are in a real global race for AI where every player (private and public—governments feel it too) wants to win this battle.

3. FOMO

We are living through an industrial revolution. It doesn’t happen often. And after the internet, this is probably one of the most important in tech. So naturally, everyone is accelerating to avoid missing out.

Why it won’t slow down

And this dynamic won’t slow down, because AI enables:

• Profiles becoming more horizontal and multi-skilled
• Experts becoming even more precise within their niche

And most importantly, all the tools we’ve been using for years are integrating—or will integrate—AI natively

So it’s no longer optional. It’s a structural shift, reinforced by all the factors mentioned above.

The limits exist… but won’t slow the trend

Yes, there are obviously risks:

• Technological limits (especially the energy costs of these solutions)
• Cybersecurity (numerous attacks on AI-generated code recently)
• Government restrictions and regulations
• Or even ethical concerns raised by some players

But the reality is that, given the valuations of OpenAI and Anthropic, it’s hard to imagine a slowdown. Rather, a continued acceleration with:

→ solutions that will keep improving, becoming more efficient, and probably less energy-intensive
→ startups specializing in cybersecurity adapted to “vibe-coded” infrastructures (if it’s not Claude themselves handling it SOON)
→ and humans who, as always, will adapt

In short, a post-AI-revolution world that will “simply” be organized differently.

What’s next: the agentic era

So what comes next?

In the short term, when you start using these tools a lot, you already feel it:

Sitting behind your computer, re-running prompts, iterating in loops… it quickly becomes repetitive. And tiring. That’s where we lose the combination of play, speed, and satisfaction that made it successful.

And that’s where agentic systems come in.

With agents, you can literally “duplicate” yourself:

• less manual effort
• more iterations
• massively increased execution speed

But the reality today is that there are still levels.

And performing at scale with AI still requires strong technical skills. A market segment that creates a strong competitive advantage for agentic agencies, like Vydera.

But for how long?

Because the world is already adapting. Companies are starting to replace SaaS costs with highly customized business solutions, managed by Solution Architects and internal engineers. The first market signals are already here., legacy SaaS products are evolving toward headless and agent-first approaches to remain competitive.

And this is not FOMO.

It’s a clear market direction, with players like Anthropic openly challenging existing structures.

My take (conclusion)

I believe everyone should start seriously integrating AI into their workflow. And most importantly, take advantage of it now.

Because this phase won’t last: prices will increase, access will evolve (Claude is already starting to adjust its usage limits.)

Because even if:

• from an artistic perspective, some will try to go against the trend
• and from a business perspective, humans and brand have never been more important

AI will not slow down. Not because the technology is perfect. But because all the factors of a technological revolution are aligned:

1. capability,
2. incentive,
3. and adoption.

We are already moving from a world where we use tools, to a world where we operate systems. And in this context, the real skill is no longer just knowing how to do.

But knowing what to do… and how to get it executed.

The gaps won’t disappear. They will shift. And those who understand this early will have a lead that will be hard to catch up.

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