Israel is rapidly integrating artificial intelligence and autonomous systems into its military infrastructure, positioning itself as a technological leader in next-generation warfare—but the domestic labor market is already showing the disruptive effects of this technological shift.
The Israeli government approved a plan to purchase F-35 and F-15IA fighter jets from Lockheed and Boeing, a move described as enabling a technological leap in integrating autonomous flight capabilities, next-generation defense systems and space-domain competencies. Simultaneously, a wave of private defense technology companies are developing AI-powered solutions to address emerging security threats, from drone detection to electronic warfare capabilities.
The Defense Innovation Surge
Tenna Systems, which raised $13.5 million in February 2026, has developed a platform that transforms existing sensors—including phones, aircraft and satellites—into a live electromagnetic detector, describing its technology as "AccuWeather for electronic warfare." R2 Wireless uses passive RF sensing to detect, classify and geolocate wireless signals without emitting any signals itself; the company is already deployed with NATO forces and won the US Army's xTech competition in the counter-UAS category.
The technological sophistication extends to autonomous platforms. The latest generation of drones increasingly relies on vision-based navigation using onboard cameras and AI to operate without GPS, addressing vulnerabilities in traditional navigation systems.
Israel's defense modernization aligns with broader US military strategy. The US Department of Defense announced partnerships with SpaceX, OpenAI, Google, NVIDIA, Reflection, Microsoft and Amazon Web Services to create an "AI-first" approach to the armed forces, aiming to streamline data synthesis, elevate situational understanding and augment warfighter decision-making at high security levels, including IL6 and IL7. The Pentagon reported that its GenAI.mil platform has over 1.3 million department users and has generated tens of millions of prompts and deployed hundreds of thousands of agents in its first five months.
The Labor Market Reckoning
Yet this technological advancement comes with significant workforce consequences. A Taub Center study by Michael Debowy, Prof. Gil Epstein and Prof. Avi Weiss found that while AI's impact on overall unemployment remains limited, it is fundamentally changing who becomes unemployed—with effects concentrated in occupations that previously had strong demand, low layoff rates and persistent vacancies.
The research reveals a stark pattern: between 2019 and 2022, workers in occupations at high risk of displacement by AI accounted for 14% to 16% of all Israeli unemployed. By 2025, their share had risen to 20% to 25%. Among software developers, AI accounts for between 12% and 20% of the increase in unemployment recorded between 2022 and 2024 and 2025. Among sales representatives, AI explains between 10% and 26% of the increase.
Prof. Gil Epstein stated bluntly: "The era of hi-tech workers' immunity is over. Our data shows that AI is ripping the cards. It explains about a fifth of the increase in programmer unemployment and locks the door mainly on young people. While veteran staffers become more efficient with the help of the machine, the 'juniors' are the first to pay the price. Those who wait for a change and don't rush to upgrade their skills here and now will simply be left behind."
The study cited US evidence of a 13% decline in employment among young workers aged 22 to 25 in occupations at risk of automation, while more experienced workers were largely unaffected. This pattern suggests that AI adoption creates a bifurcated labor market where experienced, highly skilled workers become significantly more productive, while entry-level positions disappear.
Robots and Structural Pressures
Debowy noted that robots push people into unemployment more slowly than generative AI because of high implementation costs, but they still have measurable impact. In Israel, traditional local manufacturing has needed fewer hands because of robots, with a third of such workers replaced in recent years. Public service reacts more slowly to automation because it depends on political decisions rather than market forces.
The researchers found that AI explains between two percent and six percent of the change in the occupational distribution of the unemployed overall, but the trend is also shaped by structural factors including the slowdown in the hi-tech sector, the growing share of digital-age occupations at risk of automation among both the employed and the unemployed, and the partial regression from structural changes brought about by the COVID-19 crisis.
Prof. Avi Weiss emphasized the policy dimension: "We see here a process in which technology is not only replacing working hands but is completely changing the rules of the game. The meaning for the unemployed is that competition for existing jobs is becoming much tougher, and those who don't adapt their skills to the AI era may find themselves pushed out. At the policy level, the state must already activate assistance systems for the newly unemployed and design programs for them to provide them with skills complementary to artificial intelligence to enable them to reintegrate into the changing labor market."
Why This Matters:
Israel's defense modernization through AI and autonomous systems reflects rational national security investment and demonstrates the private sector's capacity to innovate rapidly in response to genuine threats. However, the labor market data reveals an important reality: technological advancement creates winners and losers, with the losses concentrated among younger workers and those in occupations previously considered stable. The research suggests that market forces alone—without deliberate skill-development initiatives—may leave significant portions of the workforce stranded. This presents both a fiscal challenge for policymakers and a broader question about whether government-sponsored retraining can keep pace with technological displacement, or whether individuals and the private sector must bear primary responsibility for continuous skill adaptation in an AI-driven economy.