While narratives underpin markets, successful long-term investing relies on data and evidence.
In a professional landscape where artificial intelligence (AI) is being adopted more readily, can we draw any lessons from AI when it comes to how to invest your money?
AI excels at analysing large volumes of data, identifying patterns and applying the findings. Whether it be a quick trivia question on ChatGPT that you can’t quite remember the answer to, a caption you’ve read on social media describing a post; or in a more professional sense, a tool to make workplace processes more efficient,all of these outputs are being driven by available information and data.
These very same principles form the basis for evidence-based investing, grounded in decades of academic research into how markets behave. This approach captures the entire global market, while identifying factors that have historically provided a greater return. It is an approach that Carbon have taken to invest our client’s money, rather than relying on forecasts, timing the market or speculation.
Ultimately, an evidence-based approach is very similar in how AI operates, favouring numbers over narratives: processing the data, using the evidence available and applying a systematic set of rules as a result. For investors, understanding this connection can provide a valuable insight into why evidence-based strategies often outperform traditional active fund management over the long term.
If you were to ask your selected AI tool “What is the best way to invest money long term?”, it will likely point towards a globally diversified, low-cost evidence based investment. A follow up question like “what are the benefits are of evidence-based investing over traditional active management” may reply “Consistently beating the market is extremely difficult. Markets incorporate vast amounts of information quickly, making it challenging for even highly skilled managers to maintain an edge.” or “evidence-based portfolios are generally more systematic and cost-efficient, allowing investors to retain more returns”.
As AI continues to demonstrate the power of data-driven processes, it reinforces a lesson that investment research has been highlighting for decades: when it comes to investing, following the evidence often beats trying to outguess the market.
If you’re considering working with a financial planner, get in touch for a relaxed, no‑obligation conversation about your goals and how we can help. Email Enquiries@carbonfinancial.co.uk or call 0131 220 0000.
Capturing the market and remaining invested over the long term
Evidence-based investing follows clear, systematic rules. This helps to prevent emotional reactions during periods of market volatility and ensures your portfolio remains aligned with your long-term objectives.
Because this approach avoids frequent trading and expensive research teams trying to outguess the market, costs are typically significantly lower than traditional active funds. Lower costs mean investors keep more of their returns.
Evidence-based portfolios are broadly diversified across companies, sectors, and global markets. Diversification reduces the risk that any single company or sector will negatively impact the entire portfolio.
Perhaps most importantly, this approach is built on decades of peer-reviewed financial research rather than short-term market predictions or investment fads.
Narratives will always have a place in investing. They help explain behaviour and trends, but successful long-term investing is rarely about finding the most compelling story or that one company to invest in. It is about being disciplined over the long-term grounded in evidence, diversification and cost-efficiency.
As AI becomes a more of a commodity, human traits like empathy, judgement and communication become more of a premium. At Carbon, we marry up systematic investing with a personalised service, building long-term trust with our clients to allow you to reach your goals. If you wish to discuss
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