EN
FR
DE
ES
NO
SV
FI
DA
LV
Artificial intelligence has been in a rapid and exciting phase of evolution. From generating images and presentations to drafting documents and writing code, even test automation, large language models (LLMs) like ChatGPT, Gemini, and Meta AI have redefined what automation can do. But the next frontier, according to OpenAI CEO Sam Altman, goes far beyond these early successes.
Altman says the company plans to create a “full-blown AI researcher” by 2028, with the first step arriving in 2026 in the form of AI “research interns.” The initiative signals OpenAI’s ambition to move beyond assistive AI — into systems capable of conducting research and learning autonomously.
This direction ties into a broader trend some call “personal superintelligence.” The idea is to transform AI chatbots from passive tools into active collaborators — systems that can reason, hypothesize, and contribute creatively to complex projects.
Altman himself has said the term AGI (artificial general intelligence) has become “hugely overloaded,” adding that reaching this level of AI capability will be “a process over a number of years.” In other words, OpenAI’s vision isn’t about a single, sudden breakthrough, but rather a steady evolution toward more capable, autonomous systems.
Other major tech leaders share a similar outlook. Meta’s Mark Zuckerberg has also spoken about a future where AI becomes deeply integrated into daily life — not as a novelty, but as an indispensable partner. Fully autonomous AI researchers would embody that vision: systems able to plan, execute, and learn with minimal human input — essentially ChatGPT on steroids.
Even now, AI is playing a growing role in scientific discovery — from assisting doctors in identifying overlooked cures to diagnosing diseases more accurately. Yet today’s models still depend heavily on human guidance. They need structured prompts and oversight, and they remain prone to hallucinations — generating information that sounds convincing but isn’t necessarily true.
That’s the paradox at the heart of OpenAI’s next leap. The more independent AI becomes, the more pressing the need for reliability, verification, and trust. If OpenAI succeeds, the AI “researcher” of 2028 could represent not just a new stage of automation — but a new kind of partnership between human intelligence and machine reasoning.
Ready to elevate your systems to peak performance?
From AI training to full-scale software testing, we deliver precision, performance, and peace of mind for your systems.
