I recently watched the movie titled “Her”, a 2013 American romantic comedy set some ten to fifteen years in the future, starring Joaquin Phoenix as a lonely man who develops a personal relationship with ‘Samantha’, an intelligent cell phone APP personified through a female voice played by Scarlett Johansson.
‘Samantha’ is basically a downloaded algorithm (a smart phone APP) with self-learning artificial intelligence, voice recognition capabilities, and a conversationally enabled personalized operating system.
An algorithm, or ‘ALGO’ as it is called in the technology industry, is simply a set of computer coding instructions to execute an order, or set of commands. Algorithms are widely used today in places such as automated electronic stock trading platforms of the NYSE, NASDAQ and IEX exchanges.
As the movie unfolds, the APP (Samantha) learns the man’s history, likes, dislikes, activities, reads all his emails, his travels (via cell phone GPS), and scours the global web and all databases for all thing related to him, and develops a complete human profile on him in seconds!
As the APP (algorithm) builds a complete and accurate profile on the man, it then begins to hold actual conversations with him with her artificial intelligence. As “she” asks him questions, follows and sees his moves via GPS and cell phone camera lens; a powerful thing begins to happen – “she” starts to ‘make suggestions’ to him that are perfectly tailored to his wants, needs and desires BEFORE he even thinks of them, no matter where he goes, or what he does.
The APP has become a better friend, advisor and companion than most of his human friends. The APP understands his needs, desires and wants, yet has no emotion or judgments against him, regardless of what he does. In effect, the APP has evolved to a point where “she” has a human-like ‘consciousness’ and bond with the man, and vice versa – feelings for each other!
And while this is science fiction for now, it will not be for long, given the pace and explosion of information, data and sensoring of everything taking place today!
There is a new tech term you’re now beginning to hear a lot more of called “The Internet of Everything“, which loosely describes how we have entered the third leg of evolution of the Internet (aka Web 3.0).
To put this in perspective, the fixed Internet (Web 1.0), which is really what we had in the late 1990s, connected about a billion users to the Internet, primarily via their desktops. In the 2000s (Web 2.0), we had the second wave, which connected about two billion people to the Internet via their mobile devices and social networks. What we’re talking about now with the ‘Internet of Things’ aka “IOT” (Web 3.0), is the connecting, measuring and capturing of data for about 30 billion or more ‘things’ to the Internet in the course of the next decade, beyond just connecting people in the past (see Goldman Sachs’ Internet of Things graphic below to learn more).
These ‘things’ are your car, home, body, friends, family members, locations, health records, financial records, work history, education, crime records, financial history, personal habits, buying preferences, shopping patterns, dislikes, dreams, desires and hopes…all traceable, captured and gleaned from an individual’s daily activities.
These ‘things’ are beginning to track and capture our patterns and data signatures (like Apple’s NEST in your ‘connected homes’ now, and wearable devices from Nike, Adidas, and Google). Very smart mathematical algorithms are now watching, tracking and capturing all kinds consumer behavioral data, and beginning to calculate and build very precise personality, health, education and financial profiles on each of us.
Watch TED Talk on the explosion of Algorithms and Big-Data that can build precise personality profiles of you today, without you even knowing it.
Based on our profiles, locations, capabilities, likes, dislikes, financial strength, etc…these smart algorithms will be able to tap into millions of databases on the planet and search for information on you and for you…and begin to make very ‘personalized suggestions’. This creates a far more compelling world of services than exists at present. In effect, we will enter the realm of ‘executing’ on our desires and ‘negotiating’ our transactions in the real ‘kinetic’ world, not just the cyber world. And “No”, I’m not saying these APPs are going to be some sort of physical ‘cyborg’ machine like in the movie ‘The Terminator’ played by Arnold Schwarzenegger, but are cloud-based software programs, ‘matching engines’ and big-data warehouses on the global web.
With the exponential growth of self-learning supercomputing Algorithms and big-data capabilities, tens of millions of potential jobs may be at risk in the next 10 to 20 years, including real estate agents, stock brokers, doctors, lawyers, teachers, etc…many potentially being replaced by algorithmic-driven downloadable smart phone APPs.
In today’s world, financial Algo’s can already transact over 1 million stock trades every ‘half second’ all across the world on 12 separate exchanges via automated trading platforms. As we speak, over 70 percent of all daily stock trades across all U.S. stock exchanges are done by algorithmic-driven trading machines that have replaced many human floor traders over the last decade. And this algorithmic technology is only accelerating in evolution, and spreading to other industries.
As humans are replaced by far more efficient algorithmic business-service APPs, the ‘transaction cost’ of each deal will be lowered significantly. In the case of the real estate industry, the standard 3% to 6% real estate commission may get reduced to a $100 or $200 downloaded APP purchase price. And that is no small cost reduction number, we’re talking about over $30 billion in annual real estate ‘transaction’ commissions being disrupted, and going back to the buyers’ or sellers’ pockets as the middleman is eliminated by these APPs.
And these future real estate transaction APPs could have further financial benefits by coming paired with ‘Errors and Omissions’ insurance to guarantee the APP user that if the APP makes any calculation errors or mistakes in the property buying or selling function it is intended to handle for you, you are protected for any financial loss that may occur. This is very similar to how Wall Street currently uses hedges, exchange rates and insurances to cover potential trading losses on various financial instruments (i.e., the MBS market with CDO, CDS and CDX products).