A couple of years ago, conversations about Web 3.0 sounded like talks about “the future that will eventually come”. It’s 2025, and that future has arrived. The real question now is: how mature is it, and what does that mean for enterprises?

Sometimes getting a project from another team is like walking into a house right after a tornado. Files scattered, documentation was updated 5 years ago, variable names doing whatever they want… The code runs, but figuring it out? That’s a quest.

Let’s be honest — outsourcing has come a long way from being just a cost-cutting tactic. Today, it’s a strategic move that can make your tech roadmap. Many big and popular companies outsource for growth: Apple outsources the manufacturing of its products, Google outsources various IT functions, and many other examples. Businesses are constantly seeking ways to optimise their operations, reduce costs, and focus on their core competencies — and this is where outsourcing helps them.

Our TECHSPO 2025 takeaways offer a clear look at where tech and marketing are headed next—from practical uses of AI in content creation to more flexible, connected MarTech stacks. We also explore how SEO is evolving in a world of AI-powered, zero-click search and what Answer Engine Optimization (AEO) really means for your content strategy.

We’ve been having this conversation a lot lately — with clients, with partners, even with friends over coffee: "This whole ‘metaverse’ thing… do we really need to care about it? Isn’t it just hype for gamers and sci-fi fans?"* That’s a totally fair question. And if you’re running a digital-first business, 2025 is exactly the right time to stop treating the metaverse as a buzzword — and start looking at it as an opportunity for growth and improvement.

Let’s be honest — the tech world doesn’t stay still for long. New tools pop up, trends shift, and languages come and go. And then there’s Python — a language that not only survived but became essential. In 2025, Python is everywhere. Startups use it to launch fast. Enterprises use it to run critical systems. AI companies? Well, they basically live on Python. So the obvious question is — why? Why does Python keep winning, and should your business care? (Spoiler: yes.)