Big Data. Big Decisions
InformationWeek
Special Coverage Series


Race Against The Machine: 5 Takeaways For IT

IBM's Watson and the Google car represent just two examples of how the pace of technology change moves faster than we can keep up right now, said MIT's Erik Brynjolfsson. What will that pace mean to IT as a career?

Eight years ago, MIT professor Erik Brynjolfsson thought the idea of a bakery truck driver's job being replaced by a computer sounded far-fetched. This year, he rode in the Google car--no human required.

The pace of technology is changing so rapidly that our skills, organizations, and schools aren't keeping up, he told the audience at the InformationWeek 500 conference Monday. Brynjolfsson, author of Race Against The Machine, said that's causing what he calls the great paradox of our generation. While productivity continues to head north and wealth creation has never been greater than in the past decade, the average worker is worse off, median family income has fallen, and fewer people are working, he said. "There's no economic law that everyone is going to share equally in the benefits," he said.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

As the top U.S. earners continue to earn more, other people are left behind as their incomes and jobs disappear, he said. Brace yourself, he said, because the next 10 years will be even more disruptive.

[ Don't forget to add serendipity to your agenda. See InformationWeek 500 To-Do List. ]

Consider these five takeaways about the pace of technology change now and what it will mean to you and your organization.

1. It's Not Just Low-Level Jobs Vanishing

Computers now can do many tasks that people used to do--not only in IT but also in sales, logistics, and analytics, noted Brynjolfsson. That's one reason not everyone will share in the economic gains of the next decade. "It's entirely possible you can make the pie much bigger and not have everyone benefit," he said.

2. Success Scales Differently Now

In the last decade, 64% of the U.S. income gains were earned by the top 1% of the people, he said. Whereas in the decades after World War II, incomes and jobs were rising steadily from top to bottom of the spectrum, now the top 1% is using technology to succeed on a scale that was not possible before, he said.

3. Look For Three Sets Of Winners And Losers

Given the pace of technology change that shows no sign of stopping, you can expect three sets of winners and losers, Brynjolfsson said. First, high-skilled and low-skilled workers will find themselves in very different places. Second, wealth creation becomes a battle of superstars versus everyone else, he said. Music superstars multiply their influence and earnings using digital technologies; software superstars are writing algorithms that replace professionals like tax preparers. Finally, look closely at where corporate profits are being directed, he said. Capital vs. labor. Corporate profits are at an all time high, but that money is being directed to capital, not laborers.

4. The Next 10 Years Will Be More Disruptive

What new jobs might be replaced by technology, just as manufacturing jobs have been replaced by robots? Perhaps more jobs than you think, Brynjolfsson said. Consider IBM's Watson technology. IBM didn't design Watson just to win Jeopardy, of course. IBM is developing different versions of Watson for targeted industries. The Watson technology is now getting jobs on Wall Street, working in call centers, and answering prescription questions, Brynjolfsson said.

So, as InformationWeek editor Art Wittmann noted in a Twitter post, you may already be taking investment advice from Watson.

5. Skills, Organizations, And Schools Don't Change As Fast As Computers

IT leaders looking for specific technology skills understand how quickly hiring needs can change, leading to situations like the current demand for data scientists to work on big data projects. Digital technologies will continue to accelerate, Brynjolfsson said, creating a bigger mismatch of needs and skills. "Business as usual won't solve this problem," he said.

Seth Ravin, CEO of Rimini Street, noted that the pace of change has already changed how he is hiring. "I am hiring problem solvers, not for skills," Ravin said. "It's a very different skill set."

That's one bright side in an otherwise unsettling picture that Brynjolfsson paints for IT leaders and IT careers, not to mention the larger U.S. employment outlook. In the age of Google, people who can ask the right questions become more valuable than people who are a font of knowledge. "Being creative, that's a uniquely human skill," Brynjolfsson said.

A crucial question is whether IT leaders will change their hiring habits in light of the new pace of technology change. General Motors CIO Randy Mott, who spoke later in the day at the conference, said that he still has to convince some people to hire new college grads, who he has always favored in his IT organizations for their energy and their ability to tackle problems in new ways.

But he said, too often the hiring spec is a seven-year person with seven specific skills. "Never mind that there's four of them on the planet," Mott said. You could almost hear the collective wince in the audience as that statement rang true with many IT leaders who follow a hiring process that has become incredibly targeted.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.