Technology Review – In Automate This, a book due out next month, author and entrepreneur Christopher Steiner tells the story of stockbroker Thomas Peterffy, the creator of the first automated Wall Street trading system. Using a computer to execute trades, without humans entering them manually on a keyboard, was controversial in 1987—so controversial that Nasdaq pressured him to unplug from its network. Then, with a wink, Peterffy built an automated machine that could tap out the trades on a traditional keyboard—technically obeying Nasdaq rules. Peterffy made $25 million in 1987 and is now a billionaire.
Today, automated trading bots account for nearly three-quarters of U.S. equity trading by volume. Trading houses plow millions into fiber optics and microwave dishes so their algorithms can send trades a millisecond faster than the next guys’. And although the first trading robot was built 25 years ago, most of the change on Wall Street has occurred during just the last few years. When it comes to automation, we may be in the elbow of an exponential curve.
The job market was already being “hollowed out.” High-wage, high-skill employment is still being created—and so are many poorly compensated service industry jobs for food preparers, home care aides, and others. It’s the jobs in the middle that are disappearing: certain clerical, sales, and administrative jobs and some on factory floors.
Now a combination of growing computing power and advances in data crunching mean automation is primed to threaten not just tax preparers and travel agents but higher-rung jobs such as those in the medical and legal professions, where software can increasingly do things like analyze images and understand speech more accurately and in more contexts than ever before. Any work that is repetitive or fairly well structured is open to full or partial automation. Being human confers less and less of an advantage these days.
Robots made by Kiva Systems move product shelves on a warehouse floor. Amazon bought the company earlier this year in a step toward automating its distribution system and reducing labor costs. Kiva Systems
Jeff Bezos, is placing new bets on automation. In March, Amazon paid $775 million for Kiva Systems, a company that makes robotic dollies that zip across warehouse floors carrying shelves full of goods. Kiva found it was more productive to have the humans who “pick, pack, and stow” items stay in one place and let intelligent shelves come to them. Among other reasons, Amazon said, it bought the robotics firm because the technology offered the chance to reduce labor requirements at its dozens of warehouses.
Todd Ruback, a privacy lawyer in Warren, New Jersey, handles legal paperwork for companies that have lost sensitive data like credit card numbers. The job involves filing forms and notifying consumers in dozens of states, each with slightly different laws and deadlines. He’s been field-testing software made by a company called Co3 Systems that automates much of the process. It walks attorneys through what they need to do and prints out the right form letters for each state.
Ruback estimates that the software cuts the time it takes him to handle a case by 10 to 20 percent. But don’t lawyers bill by the hour? Why would Ruback want something that makes it all go faster? It’s pretty simple, he says. The software makes him more efficient. And if he doesn’t automate, the other guy will.
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Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
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