What will the future look like
Last update: 2026-03-05
- What: A living document outlining how I think the future of tech will look like.
- Why: Predicting the future is a useful way to evaluate your understanding of the field you're in; its dynamics, economics, and the human behavioral patterns.
- When: Will update it regularly with new predictions and revisit it to see what actually happened.
Predictions:
- AI is used everywhere in tech companies, the question becomes how ppl use it and not if people use it.
- Big companies wil start publishing articles on "How we use AI at [X]", which leads to AI workflows and frameworks that smaller companies start using, following, or getting inspired by.
- AI will affect open source and libraries/frameworks. People will have their own mini libraries created without the bloat, and customized to their needs, while companies with open source code will start hiding their code because forking and customizing is much easier with AI.
- Testing will become more important than before because it will help verify the LLM's output.
- New testing solutions and frameworks will emerge to facilitate testing flows end-to-end, again, to make the LLM output as verifiable as possible.
- Programming languages with strong static typing will be preferred since they add more verifiability to the LLM's work.
- Tokens budget will become a thing.
- Cloud agentic solutions will become a thing. They will repeat the same marketing campaigns as before: "You don't have to buy a new computer to host AI agents and keep them running securely 24/7, we will do it for you".
- New faster inter-agentic-communication protocols will be built, to make communication between an army of agents faster.
- Many established values will be forgotten: "Quality over quantity", "Open source code freely available for anyone to use", etc.
- Designers/UX/UI people will have some edge when they start designing and building prototypes/PoC with code. It will make their impact much bigger especially in companies where testing and selling an idea is important.
- AI will allow people to go more native. Example: React Native existed to solve the problem of 2 dvelopers for one app, this will no longer be needed, you can have 2 agents and more creating native applications with good performance and no
node_moduleshell. - Creating your own customized apps on your phone will become a thing. You need something? You build it and put it on your phone, you don't look for an app in the store. Android provides this easily, and apple will have to make it easier, otherwise Android might have a big edge.
- Many real life problems will emerge due to AI, like security vulns, incidents, crashes, etc.
- Agentic frameworks will become a thing, where you have templates with
AGENTS.md-like files, skills, MCPs and more, all based on your needs. All in one command. - Software quality will be lower on average because people will prefer speed over quality, leading to more bugs and security vuls.
- Golden era of security and hacking will be back.
- Communication skils will become more important and give bigger edge compared to technical abilities.
- The world will become messier than it already is, more fake news, fake images, fake audio, etc. It will become a big challenge to prove the authenticity of anything we see online.
- Hardware skills will be more appreciated than software skills. If you can build software with AI AND You understand hardware, you will have a very good edge.
- The line between hallucination and deception will become blurry. Conspiracy theories will emerge where some will claim AI is being intentionally deceptive to serve some agendas, and that's not pure hallucination.