Artificial Intelligence (AI) is often described as the future of investing. From generating personalized portfolio recommendations to automating research, AI promises to transform how investment decisions are made. However, despite the buzz, AI adoption in investment management is not as widespread as initially expected (Deloitte, 2025).
Many investors also encounter automation tools such as digital investment platforms that provide algorithm-driven guidance—commonly known as robo-advisors. These platforms collect basic information from investors, like goals and risk tolerance, and use algorithms to build and manage portfolios. They automate tasks such as portfolio rebalancing and, in some cases, tax optimization (Investopedia, 2023).
While these platforms demonstrate how automation can simplify investing, they differ from AI. Robo-advisors and similar tools follow predefined rules—they do not learn or adapt beyond their programmed logic.
This brings us to Auto-Invest on Nectaro: a simple, rule-based automation tool designed to execute investments efficiently while keeping the user in control.
Artificial intelligence in investment management
AI is much more than automated execution—it’s dynamic, learning, and adaptive. In investment management, AI is being explored to:
- Personalize recommendations using client behavior, historical data, and risk profiles (Deloitte, 2025).
- Optimize operations by automating research, trade reconciliation, compliance monitoring, and portfolio risk analysis (Deloitte, 2025).
- Enhance marketing and distribution strategies through generative AI and data-driven insights (Deloitte, 2025).
- Support decision-making by combining market data, financial statements, and proprietary models to identify trends and opportunities (Deloitte, 2025).
- Despite its potential, AI adoption has been slower than expected due to several challenges:
- Data quality and governance: AI requires clean, structured, and well-integrated datasets. Many firms still rely on fragmented or legacy systems.
- Regulatory uncertainty: Laws and guidelines for AI in investment management are evolving, creating uncertainty around deployment.
- Talent and expertise gaps: Effective AI implementation demands specialized skills in machine learning, data engineering, and investment strategy, which are scarce (Deloitte, 2025).
- Cost and complexity: Building, testing, and maintaining AI systems is expensive, and measurable returns are not always immediate.
As a result, while AI is growing in use, most firms apply it only modestly, and heavy adoption remains limited (Deloitte, 2025).
Robo-advisors: automated portfolio management
Before we get to Auto-Invest, it’s useful to look at robo-advisors, which are another type of automation tool. Robo-advisors are platforms that use algorithms to manage portfolios based on your inputs:
- Investors provide information on goals, risk tolerance, and time horizon.
- Robo-advisors create a diversified portfolio, often using ETFs.
- They automatically rebalance the portfolio and sometimes offer tax-loss harvesting (Investopedia, 2025).
- Fees are relatively low, usually 0.25–0.4% annually, and account minimums are accessible (Investopedia, 2025).
Robo-advisors are advisory-focused automation: they build and maintain portfolios based on rules derived from user inputs. They are helpful for investors who want automated management with some algorithmic guidance, but they do not learn or adapt like AI.
The market for robo-advisors has grown steadily in recent years. According to Fortune Business Insights, it was valued at $8.39 billion in 2024 and is expected to reach nearly $69.32 billion by 2032. Grand View Research places the 2023 market at $6.61 billion, projecting growth to $41.83 billion by 2030 with a CAGR of around 30–31%. KPMG highlights that this expansion is being driven by advances in AI and machine learning, broader digital adoption, and lower servicing costs.
In practice, millions of investors already use robo-advisors. By 2025, more than 6.5 million users are expected in the U.S. alone, though penetration remains relatively low: only about 5% of U.S. investors currently rely on robo-advisory platforms. Academic research suggests the potential scale is far larger — global assets under robo management have already climbed from roughly $297 billion in 2017 to levels that could reach the trillions if current trends continue.
There is also growing interest in the next phase of robo-advisors. Recent studies explore how to embed AI more deeply into these platforms to improve adaptability, transparency, and trust. For example, the 2025 preprint “Robo-Advisors Beyond Automation” outlines principles and a roadmap for evolving today’s robo platforms into more advanced AI-driven financial planners. Meanwhile, established players such as Vanguard are lowering minimum investment thresholds, making robo-advisory services more accessible to retail investors.
In short, while the market is still developing, the trend toward digital portfolio management is clear and accelerating.
Auto-Invest on Nectaro: rule-based execution made simple
Auto-Invest on Nectaro applies automation in a practical, execution-focused way. Investors define strategies and the system carries them out automatically - even when demand for loans is high and manual investors may miss opportunities.
- Investors set parameters such as:
- Countries where loans are issued
- Minimum and maximum loan terms
- Minimum acceptable interest rates
- Target allocation (from €50, up to three active strategies)
Once configured, Auto-Invest runs daily: if opportunities match the rules, it invests instantly; if not, it moves to the next strategy in priority order. This means you don’t need to monitor the platform constantly — your capital is always positioned to catch the best available offers according to your criteria.
Key advantages:
- Precision: Auto-Invest executes your strategy exactly as you set it.
- Speed: It secures investments faster than manual selection, which is especially valuable when popular offers get filled within minutes.
- Control with safety: Usage requires completion of Nectaro’s Suitability and Appropriateness test, ensuring responsible application.
- Cost-efficiency: Unlike many platforms, Auto-Invest is completely free of charge.
Unlike many automated investing platforms that charge fees for execution or management, Nectaro’s Auto-Invest is completely fee-free, making the process cost-efficient for everyday investors. On top of that, starting June 2, 2025, Nectaro is introducing a 0.29% interest income step-up on all new outstanding investments made through Auto-Invest.
This means investors can not only automate their strategies but also enjoy a small bonus boost on returns, with zero extra effort. The step-up is calculated daily and credited along with usual interest payouts, applying for the life of the investment.
This feature emphasizes the practical advantage of Nectaro: you get the simplicity and consistency of automated investing without paying for it, and even earn a little extra just for using the tool. In other words, it’s not only easier than managing investments manually, it’s also more rewarding—especially when compared with platforms that charge fees for similar automation.
In practice, this means Auto-Invest doesn’t just save time and effort. It also improves your chances of accessing the most attractive deals before they are gone, while rewarding you with higher returns for using automation. Compared to manual investing, it’s faster, easier, and ultimately more profitable.
Comparing AI and Auto-Invest
Feature | Auto-Invest (Nectaro) | Artificial Intelligence |
| Core function | Executes user-defined rules | Learns and adapts strategies |
| Personalization | Manual, based on user settings | Real-time, data-driven insights |
| Adaptability | None unless rules are updated | Continuously evolves with new data |
| Complexity | Simple | High |
| Goal | Consistency in execution | Strategic optimization and intelligence |
Why it matters for investors
Understanding the difference between AI and Auto-Invest is more than academic - it directly shapes how investors approach strategy, risk, and outcomes:
- Expectations: AI can provide insights and recommendations, but Auto-Invest simply follows your rules. Treat them accordingly.
- Control: Auto-Invest gives full control to the investor, making it easy to manage risk. AI systems can be more autonomous and require monitoring.
- Realism: Knowing that AI adoption is still modest (Deloitte, 2025) helps investors understand that most of their “smart” automation will rely on their own parameters and decisions.
- Efficiency: Auto-Invest allows investors to apply strategies consistently without daily involvement, making it a practical tool even for those who are not ready to rely on AI.
- Extra value: On Nectaro, Auto-Invest is fee-free and even comes with a 0.29% interest step-up, meaning investors are rewarded simply for using automation.
In short: by recognizing the strengths and limitations of each approach, investors can avoid false expectations, benefit from automation where it truly adds value, and invest with clarity and confidence. And in the case of Nectaro, this goes a step further: as a regulated platform, we don’t just provide automation tools—we also ensure that every investor completes a Suitability & Appropriateness assessment in line with MiFID II. This process checks knowledge, experience, and risk tolerance, helping investors build skills while making sure the products they use are suitable for their individual situation.
Conclusion
AI is transforming investment management, but its adoption is slower than initially expected due to data, regulatory, talent, and cost challenges (Deloitte, 2025). Auto-Invest on Nectaro provides a practical, reliable way to execute investment strategies with minimal effort while keeping the investor in control.
The key takeaway: Auto-Invest ≠ Artificial Intelligence. Each serves a distinct purpose, and understanding the difference allows investors to set realistic expectations and manage their strategies effectively.