National programme

‘Israel’s AI sector? An ecosystem that isn’t afraid of failure and leaves intellectual property in private hands’

Shahar Bracha, deputy director of the Israel AI Directorate, says: ‘The National Plan is based on reliability in real-world conditions, integration with the physical world, and the ability to achieve more in terms of constraints and security. The problem is not what is missing, but transforming a model that works in theory into a system that a doctor can rely on, a power grid can operate on, and a farmer can count on.”

5' min read

Translated by AI
Versione italiana

5' min read

Translated by AI
Versione italiana

In 2025, exits by funds from Israeli start-ups totalled $58.8 billion, an increase of 340 per cent on the previous year. “But none of this was built by an abstract ecosystem. It was built by people, and those very same people are now turning their attention to AI,” explains Shahar Bracha, deputy director of the Israel AI Directorate. “We are responding by expanding research and teaching posts, and creating combined research and work pathways. Alongside this, a global Diaspora network linking Israeli AI experts, wherever they may be, with what is happening here, and a philanthropic channel for work that the market alone would struggle to fund. We are not just trying to retain our talent. We are trying to make Israel the place they would choose anyway.’ Tel Aviv has recently launched its own national programme for the development of artificial intelligence, a holistic model that is very different from the American or Chinese models and extremely different from the European approach. Shahar Bracha is the deputy head of the body responsible for coordinating government activities, managing computing capacity and overseeing development phases. At the same time, this involves agreements along the value chains – not only regarding chips – as well as energy agreements and, finally, relations with private companies that retain ownership of the intellectual property.

Deputy Director Bracha, what do you consider to be the main obstacle to the successful implementation of high-performance artificial intelligence? Is it computing power, talent, regulation, adoption in the public sector, or coordination between ministries?

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‘Honestly, I would say there’s a bottleneck that isn’t on your list. Because that’s what really matters, and it’s not specific to Israel. And the gap between the AI revolution as it exists on a screen and the AI revolution as it exists in real life. Our national plan is based on this assessment. The revolution is being held back globally by five barriers: model reliability, adaptation to real professional needs, the difficulty of connecting AI to the physical world, economic models that have not yet found a balance, and cyber-vulnerabilities. So, reliability under real-world conditions, integration with the physical world, and the ability to achieve more in terms of constraints and security are precisely the four areas in which Israel has been developing expertise for over seventy years. The main challenge, therefore, is not what is lacking. Rather, it is transforming a model that works in theory into a system that a doctor can rely on, a power grid can operate on, and a farmer can count on. This is what we call ‘Lived AI’, and that is where the strategy is focused. We have established the National Institute for Impact-Driven AI (NIIA) as our executive arm and, within it, five acceleration programmes, at least two of which are in peripheral areas. Every challenge starts right from the outset with a business lead and an implementation partner – and this is the discipline that distinguishes a pilot project from a genuine implementation. We ensure that government departments, hospitals and regulatory bodies move at the same pace: by bringing them together around a concrete problem, with one person clearly responsible for the outcome.’

How does the public budget work?

‘The Plan is based on investment, not on full public funding. The State acts as a catalyst and is the primary institutional client. A country of our size that tries to spend more than the superpowers is bound to lose – and lose badly. Public resources are divided into two parts. Firstly, the sovereign base: a national target of at least 100,000 advanced accelerators driven by the private market; a quantum computer based on Israeli technologies; national preparatory work towards an advanced manufacturing facility operating at 5 nanometres or less; and a dedicated energy plan, because without energy there is neither computing power nor models. The lion’s share of public funding goes where capital alone could not compete. Whilst intellectual property remains with the entrepreneurs, provided that implementation in Israel is widespread. We are not seeking to appropriate the results. We are seeking to ensure that they are produced here and used here.”

How can the rapid adoption of AI be reconciled with regulations, trust and safeguards?

‘In this field, speed and security are not mutually exclusive. We want to enable the speed needed to consolidate Israel’s position, whilst at the same time safeguarding privacy, transparency and rights. The question is not whether to regulate. The question is whether an approval process moves at the speed of the problem to be solved. In the short term, every project in a NIIA acceleration module generates regulatory friction, and we treat this as an expected outcome, not as an obstacle. Those working on the projects report the barriers they encounter, and a dedicated team at the Institute translates this feedback into policy updates.”

In which areas do you think you can drive innovation?

‘Definitely physical AI. We’ve been linking intelligence to systems that operate in the real world since the late 1950s – irrigation control systems sold to dozens of countries, Arrow and Iron Dome, and Mobileye chips in over 200 million vehicles. This is the advantage that is hardest to replicate, because it isn’t software. It is an engineering culture built up over time. There is, however, a complication in this legacy, and I’d like to spell it out: our advantage has been built on deterministic engineering, where you can prove the algorithm and trace the cause of a fault. AI systems destabilise this paradigm. For a country whose hallmark is reliability, this is first and foremost a mathematical challenge, even before it is a technical one – and this leads us to the second area. Trust and certification. We are establishing the Israeli Safety Card, a standard for the safety of autonomous systems based on the Defence sector’s tradition of the Safety Case. There is not yet an established global standard for certifying systems that make probabilistic decisions at the physical limit. Someone will draw it up. We intend to be that someone.”

What prospects do you envisage for public services?

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‘Our plan sets out Lived AI in concrete terms over a five-year timeframe – a doctor in northern Israel with the same diagnostic support as a colleague in a major medical centre; a family coping with a parent’s ageing by finding a system that genuinely supports them, rather than merely recording data. Within this timeframe, success is measured by operational modules and unlocked data. Operational modules, with measurable outcomes on concrete, real-life problems. Secondly, data must be made accessible – we are considering the establishment of a National Data Marketplace and a Privacy and Data Factory. The guiding principle is that national data belongs to the citizens.’

Many national AI strategies seem ambitious. How would Israel’s be any different?

‘The fact is that Israel has already been down this road before, and we can show the results. Think of cyber security, healthcare or water. A country with scarce water resources has built desalination plants and the world’s most advanced wastewater treatment systems, and today reuses around 80 per cent of its wastewater in agriculture and exports the technology. It follows that we are solution-oriented rather than process-oriented. We transfer expertise across different fields – the endoscopic camera stems from military technology, whilst facial recognition for the visually impaired derives from cameras used in autonomous vehicles. And we are comfortable with failure. One detail: Israeli investors often prefer founders who have already failed once.”

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