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Artificial Intelligence 2026: a global turning point
2026 marks a decisive year for artificial intelligence. It is no longer merely a matter of technological progress, but a genuine paradigm shift. AI systems are accelerating scientific research, automating highly specialised tasks and influencing global economic and geopolitical balances.
The issue is no longer just about innovation. Today, AI has a direct impact on the labour market, national security, global governance and democratic stability.
AI outperforms specialists
In recent months, an increasingly clear trend has emerged: artificial intelligence is no longer limited to assisting professionals, but in many cases manages to match or even surpass their performance.
Developers have already experimented with models capable of writing code, designing software architecture and optimising complex systems. This evolution could soon extend to numerous sectors, including:
- Law
- Finance
- Medicine
- Consultancy
- Design
- Content creation
According to several industry observers, the time frame for this transformation is extremely short: between one and five years.
The laboratories leading the AI race
The development of advanced artificial intelligence is currently concentrated in a handful of major international research centres. Among the key players are:
- OpenAI
- Anthropic
- Google DeepMind
A single training cycle, completed over the course of just a few months, can generate models capable of transforming the entire competitive landscape.
On 5 February 2026, two particularly significant systems were introduced: OpenAI’s GPT-5.3 Codex and Anthropic’s Opus 4.6.
The former was designed as an autonomous professional AI agent, capable not only of carrying out instructions but also of making operational decisions and proposing complex technical solutions.
This marks a crucial shift: from automation to computational initiative.
“Technological adolescence” and systemic risk
Dario Amodei, CEO of Anthropic, described the current phase of AI as a true “technological adolescence.”
Humanity has increasingly powerful tools at its disposal, while regulatory and institutional frameworks are struggling to evolve at the same pace.
Powerful AI has very specific characteristics:
- high competence across multiple disciplines;
- continuous operation;
- the ability to be replicated on a large scale;
- integration with digital infrastructures and robotic systems.
Artificial intelligence is no longer merely a virtual assistant: it is becoming a scalable digital workforce.
The main risks of Artificial Intelligence in 2026
1. Biological risk
AI could drastically lower the level of expertise required to tackle complex scientific processes, increasing the risk of misuse in sensitive fields.
2. Surveillance and propaganda
The combination of big data and advanced models can reinforce systems of widespread surveillance, profiling and large-scale manipulation of information.
3. Autonomous weapons
The integration of artificial intelligence into military systems introduces new strategic variables and could increase international instability.
4. Employment shock and concentration of wealth
The automation of entry-level cognitive jobs risks limiting access to the skilled labour market, fostering an increasing concentration of economic power in the hands of a few major technology companies.
Halting AI development seems highly unrealistic today, given the enormous economic and geopolitical incentives at stake. The real challenge lies in governing its evolution.
Internal tension within the sector
The resignation of Mrinank Sharma, head of safety research at Anthropic, has sparked debate on the risks associated with AI.
Sharma was working on prevention strategies related to high-impact scenarios, including potential cases of AI-assisted bioterrorism.
The incident has highlighted growing tension between two conflicting priorities: the global race for innovation and the need to limit the potential systemic effects of the most advanced technology.
Generative AI and the content industry
The revolution is not limited to language models.
Seedance 2.0, developed by ByteDance, TikTok’s parent company, has demonstrated how AI is now capable of generating highly realistic videos from simple text prompts.
A short clip featuring Tom Cruise and Brad Pitt reignited the debate on deepfakes, intellectual property and copyright protection.
Entertainment giants such as Disney and Paramount Pictures have expressed serious legal concerns.
The impact is twofold: on one hand, the transformation of the creative industry; on the other, a new dimension to the technological competition between the United States and China.
Who will govern Artificial Intelligence?
In 2026, artificial intelligence is no longer merely a productivity tool. It has become a strategic infrastructure capable of influencing the economy, security and information.
The question is no longer whether AI will change the world: it is already doing so.
The real question concerns the rules that will guide its development and the entities that will control it.
The greatest risk lies not only in its widespread adoption but in the possibility that increasingly autonomous systems may multiply, modify themselves and operate with growing levels of independence.
