Artificial Intelligence, Social Media, and the Future of Investing
Witnessing the recent GameStop event, it was clear that for better or worse, the little guy, or many, many little guys, had briefly beaten Wall Street at its own game.
While GameStop was fuelled primarily by the collective action of many, the voice of only one person, echoed by others, can have similar influence. For example, Elon Musk has more than 40 million Twitter followers and by adding “#bitcoin” to his Twitter bio and tweeting about dogecoin he has sparked cryptocurrency market events.
Whether influenced by one or many, the result is clear: social media can drive today’s markets. Such incidents, combined with their capriciousness and unpredictability, have led to pushback from the financial establishment and calls for greater oversight of social media practices and businesses. Musk, for example, has drawn attention from financial authorities over what he claims were merely his offhand tweets. This is to be expected. When money is at stake, questions are bound to come up.
Trying to contain the social media monster
India introduced new rules for large tech and social media companies that require faster removal of content deemed “unlawful” by the government, easier ways to determine who posted it, and stricter direct oversight of streaming content.
Regulatory initiatives in Australia and Europe have also sought to rein in social media companies. As a result, free speech advocates have raised concerns about censorship and inappropriate government control.
Tech and social networking giants have perhaps the largest user bases in the world. They have immense power, but neither they nor their users can flex that muscle without evoking a reaction. At times, social media can feel like a laissez-faire free-for-all.
And therein lies the problem. With social media, theoretically anyone can exercise the power that was not so long ago the privilege of the very few: to influence — or manipulate — opinion and get away with it.
Beyond the cause and effect is a rather complex question about balance. The scrutiny surrounding the social media giants is the established system’s reaction to their growing influence. The balance of power has shifted and with it the future of investing and social media.
The forces behind social media: algorithms, artificial intelligence, and intensity
Who are the main players in this power shift? It’s not just governments and corporations. Right now, algorithms and artificial intelligence (AI) — and the people behind them — have far more influence than many realize.
Changing minds and influencing behaviour has always been the central purpose of media. Headlines are intended to grab our interest and spark emotions that will impact how we think and act. There is nothing necessarily morally wrong about this. It has always been how perceptions are shaped. Even the most unbiased article retains a trace of the author’s opinion. What is different now is that “machines” — in the form of AI and algorithms — have been introduced into the equation and operate at unprecedented scale.
Because AI learns from the data it receives and social media has such incredible reach, the effect on public opinion is enormous and instant. Within a few seconds, a message can be transmitted across the globe and generate a near-automatic user response. Public opinion is modified at scale, immediately.
Algorithms are sets of rules computers use to identify, categorize, and sort information and solve problems. Every social media platform applies them to address requests and determine which data — pictures, posts, videos, etc. — to serve its users. With their efficiency and ability to personalize content, algorithms increase audience engagement, which gives the tech companies behind them a competitive advantage. Therefore, the algorithms recognize the increased engagement and reward it with even more attention and higher rankings.
The process is iterative. An algorithm performs the same function over and over again, and the accompanying AI system examines the results, and then perfects them based on the engagement criteria.
The psychological result of all is massive, unprecedented social proof, validation, and power, a revolution with a taste of victory.
How much people’s opinions are affected by the social proof phenomenon created by AI is not necessary to quantify. The effects are palpable everywhere, in politics, culture, and stocks.
Where did the revolution start?
If social media algorithms and AI are designed to increase and intensify user engagement, then how much responsibility do those users bear for market disruptions and other turmoil fuelled by social media?
Algorithms and AI do more for tech and social media companies than just generate user engagement. They also provide plausible deniability. Whenever a problem develops, firms lay the blame on some mysterious technological aspect of their business — a black box — promise to make adjustments and wait for the problem to blow over.
These companies don’t explain that unintended outcomes are inherent in these systems, that as human creations, every algorithm and AI can be designed with unintentional and unknown prejudices, assumptions, and blind spots embedded within them.
Education and transparency in an AI future
This opaque, black box effect can create confusion and resentment. We know we are influenced by social media but don’t quite know how.
This can serve to erode our trust in tech, AI, and social media and create more cynicism about the markets. This trust crisis may not be solvable, but it can be addressed through education and transparency.
Public knowledge and awareness about AI’s functions and flaws is fundamental to the new, automated, AI-driven world.
Too often, our view of AI isn’t far removed from science fiction. But if the general public had at least a basic understanding of AI, it would be better equipped to respond to AI failures and controversies, whether through calls for reasonable reforms or demands for change. Education is just the first step.
Transparency is the second imperative. Tech companies have user bases and financial assets that exceed the populations and budgets of many countries. They must show a good faith effort to dispense with secrecy and be forthright with the public in the wake of major social media-influenced events.
The same holds true for the regulators and the networks themselves. They must have policies and people in place to foster transparency and open communication. All this will be difficult to achieve. Currently, the situation is almost the exact opposite. And the ramifications for the world of finance are obvious.
Conclusion
The future of AI, social media, and finance — of the technology-driven world — should be a promising one, full of automated conveniences and greater freedom. But to realize this outcome, our technological future must prioritize people. And real people don’t fit conveniently into the boxes of an algorithm.
It all begins with someone’s voice. As GameStop demonstrated, when that voice gathers support and is amplified by two of the most powerful tools the world has ever seen — AI and social media — it is a recipe for change.
What happened with GameStop was a taste of freedom and power, a small revolution with a taste of victory. For whom — or what? That remains to be seen.
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By Sameer S. Somal, CFA and Pablo A. Ruz Salmones.
All posts are the opinion of the author. As such, they should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute or the author’s employer.
Image credit: ©Getty Images / venimo