2026 proved to be a turning point for the global investment market. Those who relied on tried-and-tested formulas — such as shares in leading indices and property as a haven — just three years ago suddenly found themselves having to rethink almost everything. New technologies, geopolitical realignment, a shift in the monetary paradigm, and the emergence of artificial intelligence as a standalone investment sector have rendered traditional approaches inadequate, if not obsolete.
What is happening to global investments?
If the global investment climate of 2026 were to be described in a single word, it would be 'reset'. After a long era of low interest rates and virtually free capital, which fuelled the growth of tech giants, startups, and emerging markets, the demand now faces a new reality: money once again has a price. It changes everything, from planning horizons to company valuation criteria.
The impact of artificial intelligence
In 2026, AI became the foundational infrastructure, transforming entire industries. Its impact on the investment market is twofold. On the one hand, AI itself has become one of the most attractive investment sectors — from chips and data centres to applied models and agent systems. On the other hand, AI is radically changing the investment decision-making process itself.
Algorithms that can process terabytes of market data, news, and reports in seconds are increasingly forming the basis for deals that previously required weeks of analysis by teams of analysts.
The new macroeconomic reality
From 2023 to 2025, most developed economies experienced aggressive monetary policy tightening. The Fed, the ECB and the Bank of England all raised interest rates to levels not seen since the 2007–2008 financial crisis. The consequences of this are still being felt today. Real bond yields moved into positive territory for the first time in over a decade, altering the relative appeal of different asset classes.
Shares in technology companies with long-term earnings horizons have lost some of their premium, while those in companies with strong cash flows have seen their share prices rise again. At the same time, although inflation has cooled from its peak, it remains above the target ranges of most central banks, fuelling uncertainty about the future path of interest rates.
Geopolitical fragmentation adds another layer of complexity. The increasing adoption of block-based logic in trade, technology and finance is leading to a global market that is giving way to several parallel market systems with different rules, risks and opportunities.
The diminishing role of 'cheap money'
The era of zero and negative interest rates fostered a particular investment mindset, where capital sought out any asset offering even a modest return. This distorted valuations in the property market, venture capital, crypto, and public markets, where unprofitable companies were traded for years at multiples that no realistic growth forecasts could justify.
Now that deposits and treasury bills are generating real returns, rational investors once again have an alternative to risky assets. It signals a return to discipline. The market is once again attaching importance to the terms 'profitability', 'cash flow' and 'valuation'. It is no longer enough for companies to have a compelling narrative — they need real figures.
Changes in the behaviour of institutional investors
Pension funds, insurance companies, and sovereign wealth funds — the major players that drive the markets — are making substantial revisions to their asset allocations in 2026. The traditional 60/40 model (60% equities and 40% bonds) proved vulnerable when both asset classes fell simultaneously during an inflationary shock.
In response, institutions are moving en masse towards more complex and diversified portfolios comprising private credit, infrastructure, real assets, and absolute-return hedge funds.
Meanwhile, pressure from regulators and beneficiaries regarding ESG reporting and climate commitments is intensifying, further directing capital flows towards green sectors and diverting funding away from carbon-intensive industries.
AI as a new investment sector
Сompanies and deals analysis
The M&A market in artificial intelligence is booming. Major tech corporations are acquiring startups that develop specialised models for medical diagnostics, legal analysis, financial forecasting and industrial automation, among other areas. However, the landscape has become more complex. The early enthusiasm of 2023–2024, when any startup with 'AI' in its name could easily secure funding, has given way to a more pragmatic approach.
Investors are now carefully analysing whether a company has its own secure dataset for training models. Do they have genuine customer retention, or is it just hype? What are the business margins at scale? Those building wrappers around third-party models without a competitive advantage have already found that investors are asking tough questions about their long-term value proposition.
Due diligence automation
One of the most notable changes to the investment process is the use of AI to automate due diligence. Traditionally, vetting a company before a deal would take weeks: lawyers would review contracts, financiers would build models, and analysts would pore over hundreds of documents. Today, AI tools can analyse thousands of pages of financial documentation in a matter of hours, identify contractual risks, compare metrics against industry benchmarks and check for reputational issues in open sources.
It speeds up and deepens the process. Human analysts can now focus on strategic judgements and nuances that AI cannot yet assess, such as team dynamics, cultural fit and market positioning in uncertain conditions. However, the competitive landscape is changing: funds that previously had an advantage due to the size of their analytical team may now lose out to those who integrate AI more effectively into their processes.
AI-driven portfolio management
By 2026, AI-driven approaches to asset management will be accessible to retail investors, too, via platforms that offer automatic rebalancing and optimisation for specific goals and time horizons, as well as dynamic risk management. For large funds, AI helps identify anomalies and arbitrage opportunities that humans cannot physically spot in the flow of market data.
However, there is a downside: when the majority of market participants use similar algorithms, they begin to act in unison, which can amplify volatility during times of stress. Regulators in the EU and the US are already sounding the alarm about the systemic risks of AI-driven trading and developing new supervisory frameworks.
Agentic AI and predictive analytics
The next frontier is agentic AI, which involves systems that analyse data, make independent decisions and take action within predefined parameters. In an investment context, this means AI agents that can monitor markets in real time, execute trades, mitigate risk, and negotiate with counterparties. Leading venture capital funds are already testing such systems to manage specific parts of their portfolios.
Meanwhile, predictive analytics is reaching new heights thanks to large language models that can analyse not only structured data, but also text such as news articles, reports, social media posts and conference call transcripts, extracting insights that are inaccessible to traditional methods.
ESG investing: A trend or the new norm?
Why has ESG become part of the core strategy?
There are several structural reasons why ESG has evolved from a passing trend into a core component of most major players' investment strategies. Firstly, there is regulatory pressure: the Corporate Sustainability Reporting Directive (CSRD) has come into force in the EU, requiring thousands of companies to submit detailed non-financial reports.
Secondly, there is a clear demand from end investors — namely, the younger generations who are inheriting and accumulating capital — for so-called responsible investment. Thirdly, and perhaps most importantly, large institutional investors have learned from experience that ignoring ESG risks can have very real financial consequences.
In all these sectors — the coal industry, plastics manufacturers and companies with poor corporate governance — valuations have been significantly revised, and access to capital has become considerably more difficult.
ESG as a risk management tool
One of the most compelling arguments in favour of ESG is its ability to serve as an early warning system for non-financial risks with financial implications.
For example, a company with poor governance is more likely to face corruption scandals and regulatory fines. Similarly, a company with poor social practices is more vulnerable to strikes, reputational crises, and staff turnover. A company with high environmental risks may encounter constraints on resource supply and face rising compliance costs.
Leading analytical agencies, including MSCI and Sustainalytics, have already accumulated sufficient data to reach statistically significant conclusions: companies with better ESG ratings demonstrate lower volatility and a lower frequency of major negative events, or 'tail risks'. For long-term investors, this may be more important than short-term outperformance.
New requirements from investors and regulators
The regulatory landscape for ESG in 2026 is far denser than it was three years ago. In the EU, the sustainable activities taxonomy defines which investments can be considered green, which has direct implications for funds positioning themselves as ESG. Similar processes are also gaining momentum in the UK and several Asian markets.
For asset managers, this means additional reporting and verification costs, as well as new competitive opportunities. Those who had invested in ESG analytics and infrastructure in advance found themselves in a strong position when regulators began verifying the validity of responsible investment claims.
Sustainable investing and value creation
As well as protecting against risks, sustainable investing is increasingly recognised as a source of added value. Companies that consider their long-term environmental and social impact often enjoy greater customer loyalty, a more sustainable competitive position and better access to talent. In sectors where consumers actively make value-based choices, such as food, fashion, and financial services, ESG leadership translates directly into market share gains.
Which sectors are emerging as key areas for investment?
AI infrastructure and data centres
If any race requires infrastructure, it is the race for artificial intelligence—huge, ultra-powerful and extremely energy-intensive ones at that. Leading cloud providers such as Microsoft, Amazon and Google, as well as new specialist operators, are investing hundreds of billions of dollars in new facilities worldwide.
However, electricity is becoming a bottleneck, as most regions lack sufficient generation capacity to meet the growing demand from AI data centres. It creates investment opportunities in related sectors, such as small modular reactors (SMRs), gas-fired generation, energy storage systems, and the electricity grid itself.
Data centres have become one of the most attractive sub-categories of commercial property for investors, thanks to long-term lease agreements, stable cash flows and virtually unlimited demand in the coming years.
Cybersecurity
Digitalisation and the spread of AI are increasing the attack surface for cybercriminals and state actors in proportion to their growth. Several high-profile incidents affecting critical infrastructure and major financial institutions occurred in 2025, definitively transforming cybersecurity from an IT expense into a strategic priority for any enterprise.
The hottest sub-sectors are cloud security, endpoint security, threat detection and response, and — particularly relevant — cybersecurity for AI systems, as the algorithms themselves are becoming targets for attacks. Companies specialising in zero-trust architecture and AI-powered cybersecurity are attracting the most interest from strategic buyers and venture capital investors alike.
Defence technology
Changes in the global security landscape, such as rising defence spending in most NATO countries, conflicts in various regions, and an arms race in drones and cyber weapons, have made defence technology one of the most dynamic investment sectors. While traditional defence contractors have always been accessible on public markets, venture capital is now flooding into startups developing autonomous systems, drones, advanced materials, and AI-based command-and-control systems.
Leading venture capital funds in the US and the UK, which previously avoided defence investments due to ethical and reputational concerns, are now reconsidering their stance in light of systemic security threats. Specialised funds focused exclusively on dual-use technologies — those with applications in both the civilian and defence sectors — are emerging.
Energy transition
Despite political fluctuations in individual countries, the transition to clean energy remains a structural megatrend that will drive trillions of dollars in investment over the coming decades.
In 2026, particular momentum was gained by several sub-sectors: solar and wind generation combined with storage systems; transport electrification and the associated charging infrastructure; 'green' hydrogen as a potential future fuel for heavy industrial applications; and, once again returning to AI, small modular nuclear power generation, which has become a strategic priority for powering data centres.
The key challenge for investors in this sector is to distinguish genuine structural opportunities from subsidised bubbles that could burst due to changes in regulatory or fiscal support.
Healthcare and biotech
The healthcare sector remains one of the stable yet dynamic investment areas. An ageing population in developed countries guarantees growing demand, while the technological revolution — from AI diagnostics to gene therapy — is opening up new markets.
Between 2024 and 2025, there was a significant breakthrough in the field of GLP-1 drugs (anti-obesity treatments), which have transformed our perception of the potential of pharmacological treatment for metabolic diseases.
In biotech, the greatest enthusiasm is generated by personalised medicine based on genomic data, AI-driven drug development (which shortens the cycle from hypothesis to clinical trials) and cell and gene therapy for previously incurable diseases. However, this is also a high-risk sector in which the failure of a clinical trial can eliminate a company’s value overnight. For most investors, diversification through specialised funds remains a sensible strategy.
Private credit and alternative assets
The rapid growth of private credit as an asset class in recent years has perhaps been the most significant development for institutional investors. Traditionally, banks were the main lenders to small and medium-sized enterprises (SMEs). However, tighter banking regulations following the 2008 and 2023 crises forced banks to withdraw from several lending segments, creating an opportunity for specialised credit funds.
Today, private credit is a $3 trillion market, growing by 15–20% a year. For investors, it offers an attractive combination of floating rates (which protect against inflation), higher yields than those in public debt markets, and a relatively low correlation with equity performance.
Alternative assets, such as infrastructure, forests, and agricultural land, have also become an integral part of the portfolios of those seeking protection against inflation and diversification away from traditional markets.
