Outrageous Predictions
Executive Summary: Outrageous Predictions 2026
Saxo Group
Military budgets have risen sharply in recent years. In 2024, global military spending reached about USD 2.7 trillion, up 9.4% in real terms from 2023—one of the steepest year-on-year rises since at least the end of the Cold War, according to SIPRI. And it’s not just jets and missiles being funded. It’s code, chips, and algorithms.
As AI becomes more embedded in national defence, investors are paying closer attention to companies that develop software, data infrastructure, sensors, cyber tools, and AI-enabled systems for defence and security applications. Some are private companies, while others are publicly listed or included in defence-themed ETFs.
This shift is also changing how some investors analyse a sector that has traditionally raised ethical and ESG questions.
National security refers to a country’s ability to protect itself from internal and external threats. Traditionally, this meant maintaining a strong military to deter invasions or attacks. Today, it also includes defending digital infrastructure, securing supply chains, and ensuring access to critical technologies, from satellites and semiconductors to energy grids and AI systems.
As the world grows more interconnected and geopolitically fragmented, governments have expanded their definition of what must be protected. A cyberattack on a hospital, a rare earth embargo, or a data breach at a defence contractor may now prompt a national-level response.
This broader view of security is reshaping public budgets. Many countries are increasing defence spending not only to modernise weapons but also to fund next-generation capabilities such as artificial intelligence, space-based assets, and cyber command infrastructure.
This shift may influence capital allocation and how some defence-themed indices and ETFs define their investable universe (approaches vary by provider). “Investable universe” is a financial term that refers to a specific selection of assets, companies, or securities that meet an investor’s or fund’s criteria for what to invest in (such as market size or liquidity).
Artificial intelligence is becoming increasingly relevant to how countries plan, detect, and respond to threats. AI tools can help governments analyse large volumes of data, identify patterns, locate vulnerabilities, and model possible threats before or during a crisis.
AI can also support real-time surveillance, drone navigation and battlefield intelligence processing. Some weapon systems incorporate automation or AI-enabled targeting support, but levels of autonomy vary widely, and human oversight remains a central design, legal and ethical issue. Some are fully automated, while others operate under strict oversight, with humans reviewing final decisions.
The main difference from earlier military technology is not in the weapon itself but in how information is processed. Where a radar once fed data mainly to a human operator, an AI-enabled system may now process large data streams and produce outputs in milliseconds. This raises practical and ethical questions: when should human control be mandatory? How should AI in warfare be regulated? And how can misuse or escalation be prevented?
Despite these challenges, AI-related defence capabilities remain a focus for governments, intelligence agencies, defence contractors and dual-use technology startups. The areas involved include threat detection, cyber defence, autonomous systems, logistics, data infrastructure and AI-enhanced decision support.
This is widening how some investors define defence exposure. The theme can include hardware, data, algorithms and infrastructure linked to AI-enabled systems, although the boundaries vary by index, fund methodology and company revenue mix.
Defence investing has traditionally focused on established contractors with long-term government contracts and steady procurement cycles. Today, the sector also includes firms building AI systems, cyber platforms, and advanced sensors that support modern battlefield operations.
Many publicly listed companies generate a significant portion of their revenue from defence. These firms support a wide range of missions, from aerospace and naval systems to surveillance software and cybersecurity platforms.
Examples (for illustration only, not a recommendation and not exhaustive) include:
While some of these stocks are tied to traditional defence platforms, others are increasingly involved in dual-use or AI-enhanced technologies. Exposure varies across companies, but all operate within the wider national security and defence sector.
ETFs can provide diversified exposure to the defence sector without requiring investors to pick individual stocks. These funds typically track indices composed of aerospace, military, security or defence technology companies, offering a broad view of the industry’s performance.
Examples of defence-themed ETFs, depending on investor location and platform availability, include:
Some ETFs focus primarily on established aerospace and military contractors, while others include companies linked to defence technology, AI, satellite systems, cybersecurity and robotics. Investors need to review the fund's methodology and holdings, as exposure can vary significantly.
The defence sector is evolving, and artificial intelligence is changing the pace and scope of that evolution. Below are some of the key opportunities attracting long-term capital to this space:
Defence budgets are typically set through multi-year planning cycles, aligned with national security strategies. This can provide some contract visibility for certain suppliers, but outcomes depend on budgets, programme execution, regulation, export controls and contract terms—and listed share prices can still be volatile.
AI is becoming part of some next-generation defence capabilities, from surveillance and logistics to threat simulation and targeting support. Companies active in these areas may benefit from demand for advanced systems, but revenue depends on contract wins, procurement cycles, regulation, competition and execution.
Some AI-enabled defence technologies can also have civilian applications, including satellite imaging, secure communications and robotics. This can broaden addressable markets, but commercialisation depends on customer adoption, pricing, regulation and competition.
Geopolitical instability has made national defence a fiscal priority in many countries. Rising tensions in Europe, the Middle East, and the Asia-Pacific have contributed to higher defence budgets, often with an emphasis on modernisation, AI integration, and autonomous systems. Investors with exposure to this theme may be affected by global spending trends and regional rearmament cycles, as well as political decisions, valuation and execution risks.
Some established defence contractors have historically generated cash flows and paid dividends, but dividends can be reduced or suspended and share prices can still fall. Combining mature contractors with AI, cyber or robotics exposure may change the risk and return profile rather than automatically adding stability.
The defence industry is often viewed as a resilient sector, but AI integration introduces new ethical, regulatory and financial complexity.
Here are some of the main risks you should consider before investing:
Autonomous weapons and AI surveillance platforms can raise ethical concerns. Some institutional investors exclude defence from ESG mandates entirely, while others apply screens based on end-use or dual-use potential. Companies linked to AI-enabled targeting or surveillance applications may face scrutiny from regulators, shareholders, and activist groups.
While conflict often drives demand for defence technologies, it also increases unpredictability. Trade restrictions, sanctions, or arms embargoes can disrupt supply chains and revenue flows. Companies operating across multiple jurisdictions may face political pressure or export controls.
Defence budgets are rising globally, but they still depend on political will. Elections, shifting alliances, or changing public sentiment can lead to budget freezes or reallocation toward other priorities (e.g., healthcare or debt reduction). These shifts can affect project funding and long-term contracts.
Companies operating in the AI defence space must comply with tight national and international regulations. The development and export of sensitive technologies often require multiple layers of approval. Delays or breaches can result in fines, restrictions, or reputational damage.
AI systems develop fast, and so do cyber threats. Companies that fail to adapt may see their platforms bypassed by more advanced competitors. Defence clients often demand the latest capabilities, which puts pressure on firms to constantly reinvest in innovation without guaranteed returns.
Defence and national security exposure now extends beyond ships and aircraft to software, cyber tools, sensors, data infrastructure and AI-enabled systems. This broadens the investment theme but also adds ethical, regulatory, geopolitical, and valuation risks.
If you are analysing this area, relevant factors to assess include source of revenue, contract visibility, dual-use exposure, valuation, concentration risk, ethical constraints and regulatory change.
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