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Solutions to STEM Skills Mismatch

Saturday, February 25th, 2012

My December 26, 2011 blog, Expanding the Ranks of STEM Professionals, examined some of the realities and the myths behind the much discussed skills mismatch in the U.S. labor force; a mismatch characterized by a surplus of people looking for jobs, but a shortage of people with the skills for which employees are looking. This is reflected in an economy in which there are more than four unemployed workers for every job opening, but also thousands of unfilled positions (primarily technical) for which employers have been unable to find people with the required skills.

In a nutshell, the disagreement, as I explained in last month’s article, boils down to three interpretations of the shortage problem:

  1. We are not educating or training enough STEM professionals;
  2. We are educating/training enough people, but employers are not paying them enough to attract them from jobs in fields such as management consulting or investment banking. This problem is exacerbated by U.S. government policies that make it difficult or unattractive for U.S.-educated, foreign-born citizens to stay in the U.S. and by increased aggressiveness of emerging country companies (especially Chinese and Indian) to recruit and attract top university graduates with offers of permanent visas, comparable salaries, attractive benefit packages, and the promise of interesting, resume-burnishing overseas work; and
  3. We are educating/training enough people, but many have insufficient functional skills (in their specific discipline) or broad foundational skills (communications, cognitive, etc.) to be hired in STEM jobs.

Although proponents of each of these interpretations disagree on many things, they generally do agree on two issues:

  1. Our K-12 educational system is not doing a good job at teaching STEM fundamentals (and thereby not preparing students for college-level work in these fields) or in creating the type of curiosity and excitement required to motivate our best and brightest to become engineers and scientists;
  2. Employers, who are cutting back on their own training programs, will accept only graduates who can fill a current need or otherwise deliver immediate value.

In Search of “THE STEM Solution”

We certainly don’t and possibly never will, fully agree on all of the specific “cause/s” of the STEM skills mismatch problem. However, most agree that the tech industry is having trouble getting the number and quality of people that it needs. Many agree that the reasons for this are two-fold:

  • The imitations of our K-12 education system; and
  • A dearth of corporate training programs;

I, along with virtually everybody else who examines the education-to-career pipeline, fully acknowledge that K-12 education is at the root of many of our problems. Unfortunately, none of the experts seem to be able to agree on the cause of this problem, much less on its solutions. Even if they could agree, the educational system is highly unlikely to get additional money (or probably, even avoid additional cuts) from state and local governments. Moreover, even if we were to identify the magic bullet, and could afford to develop and shoot it, it would probably take at least half of a generation to begin seeing meaningful results.

Compared with fixing the K-12 educational system, improving corporate training programs should be a piece of cake. After all, big companies already know how to provide training. Some, particularly those with large operations in India and China, already provide extensive education and training programs to compensate for the big gaps in these countries’ educational systems. Although smaller companies may not have such capabilities, even they can retain specialists to develop and administer programs that are tailored to their needs. The “only thing” that it will really take to address these needs is money. This too, however, will be a very tall order in the current era of economic uncertainty and unrelenting belt-tightening.

Moreover, even if we identify solutions to, invest in and address both of these potential issues, what if the underlying problem—companies’ inability to find people suited to fill specific STEM job openings—is not resolved?

Plugging the Leaks in the STEM Pipeline

There is no question. We absolutely must work to fix the K-12 educational system—for the good of our society, as well as for our companies. I would also love to see a recreation of many of the traditional corporate training programs. Ideally, I would particularly like to see U.S. companies go further, as by creating programs of the type that are widely used in India—whereby companies establish their own schools in which all new recruits are brought up to a common, base level of capabilities and then provided basic training in the specific disciplines to which they will be initially assigned. Such programs, could be used both, for new graduates (whichever level of school is appropriate for the anticipated positions) or for current or displaced employees who need to be retrained for new jobs.

In reality, however, such hopes are little more than pipedreams, at least in today’s economic and fiscal environment. Although we can certainly hope for progress in each of these areas, there are a number of generally smaller, more incremental steps that have the potential of at least alleviating part of the core STEM skills mismatch problem. For example:

  • Employers can work with state and local governments to develop and continually update an online jobs guide, using a companies’ best estimates on which and how many positions are likely to be available over the next year, the next three years and the next five years, as well as the types of skills, qualifications and/or certifications individuals will need to prepare for these jobs. The postings should also provide anticipated compensation ranges, the schools and programs that train people for these jobs, and examples of potential career paths.
  • Employers can partner with schools—particularly two-year colleges and universities—to jointly develop curricula, courses and materials for teaching the skills that will be needed for these jobs. Employers should also provide volunteer instructors, tools (computers, software, machines, support, etc. on which students can get hands-on training and practice), and, where appropriate, create meaningful internships, apprenticeship or sandwich year programs.
  • Schools, local government organizations, companies and labor unions can invest in training and building networks of “career navigators” who can help students or transitioning workers assess their interests and skills; match these to colleges, curricula and career pathways; and guide clients through college planning and the college-to-career transition. Some non-profits, such as CAEL, already help companies, local governments and labor unions create such programs. It is also working with other organizations to develop an online training and certification process for these navigators.
  • Governments and unions could make it easier for companies to put people though through company-run or company-sponsored training programs, test-hire them at low or subsidized rates for defined periods and easily dismiss those who do not meet expectations.

Most importantly, all students and employees must take much greater responsibility for planning, preparing for and managing their careers and for continually upgrading their skills. They must seek out and proactively work with career navigators to identify and prepare for careers that match their interests and skills, and that are likely to offer strong long-term employment opportunities. They must select schools and employers that offer the educational and training opportunities that will prepare them for these careers. They must, though coursework, reading and extra-curricular activities, develop the foundational skills, as well as the functional skills they will require. And, in the current era of perpetual uncertainty, they must continually assess the long-term trends in their own and other potential career paths and industries, identify needs and opportunities for changes, and continually update and supplement their skills to ensure they will can provide higher and higher levels of value to current and future employers.

Expanding the Ranks of STEM Professionals

Monday, December 26th, 2011

The U.S. industry in general, and technology-based sectors in particular, have decried the lack of STEM professionals and have called on everyone from government, educational institutions and non-profits to take steps to address the shortages. As I’ve discussed in numerous blogs, a growing number of companies (including IBM, General Electric, Intel, Exxon Mobil and many others) are taking matters into their own hands. They are sponsoring competitions and after-school workshops, funding scholarships and fellowships, helping universities create curricula and train instructors and helping their own employees identify promising career paths by providing skills maps and classes designed to prepare employees for future jobs.

Although such efforts are helpful, we need more—much more—if we are to provide an adequate pipeline of qualified STEM graduates, through all steps of the educational system, into STEM jobs. The first steps are to understand:

  • Why declining percentages of American students graduate with STEM degrees; and
  • Why so many of those that do graduate do not end up in STEM professions.

Leakage in the STEM Education Pipeline

As discussed in my July 31 blog, The United States’ Clogged Technology Education-to-Employment Pipeline, our shortage of STEM professionals begins in primary and secondary school and gets worse in every stage of the education pipeline.

According to the 2009 National Assessment of Educational Progress exam, less than one-third of elementary school students are considered to be either proficient or advanced in science. This percentage declines steadily, to 21%, by the time they reach 12th grade. These declines are highlighted in international comparisons, with the OECD’s 2009 Program for International Student Assessment (PISA) rankings placing U.S. 15-year-olds below the median ranking among 30 OECD countries in each of the three tested areas. They rank 16th in reading, 21st in science and 29th in math.

These deficiencies, however, have not discouraged college-bound students from pursuing STEM majors. Despite the fact that the 2011 ACT test found only 45% of graduates prepared for college-level math courses, and only 30% prepared for science courses, the percentage of incoming freshman who initially plan to major in STEM fields has increased dramatically (to 34% in 2009) from their lows in the 1980s and 1990s.

These plans, however, don’t last long. After getting a sampling of the rigors of college-level STEM classes, many switch majors to less demanding disciplines. In fact, while the number of college graduates has increased by 29% from 2001 through 2009, the number of engineering graduates grew by only 19% and the number of computer and information science grads actually fell (by 14%). A 2011 study by McKinsey Global Institute, “An economy that works: Job creation and America’s future,” generally confirms these trends, citing a meager 0.8% per year growth in the number of STEM graduates—significantly less than fields such as business, social science, humanities and arts.

Worse still, many of those that do graduate do not end up in STEM careers. According to one of the most comprehensive U.S. studies to date, only one-third of STEM graduates actually end up with jobs in these fields (see the below cited Lowell and Salzman study).

Causes of STEM Pipeline Leakage—Follow the Money

A preponderance of industry experts, analysts and educators, as discussed in the above-referenced “Pipeline” report, place the primary blame on a range of factors. These include:

  • A culture that does not sufficiently value technical skills;
  • A student body that shuns hard work and study required of STEM disciplines; and
  • Big gaps in all levels of the educational system—from a lack of qualified teachers and mentors in primary and secondary schools, a disconnect between colleges that educate future professionals and the companies that hope to employ them and a large pool of STEM graduates that lack the skills required for the jobs companies are looking to fill; and
  • Corporate training and educational systems that are ill-suited to the continual education, skills refresh and new skills training requirements of a dynamic jobs market.

This skills mismatch, or skills gap, is becoming severe. According to McKinsey’s “An economy that works” study, 40% of companies with plans to hire in the next 12 months have had positions open for six months or longer, because they couldn’t find the right candidate—candidates with degrees in the appropriate field and/or relevant work experience. Although these needs span all types of jobs, the most difficult occupations to fill are in management, science and engineering, followed by computer programming and IT. The study also highlights a big emerging gap in statisticians and mathematicians who can handle “big data” and, in the future, fill the rapidly growing need for health care professionals.

There is, however, an alternate school of thought, not only as to the causes and remedies of a STEM skills gap, but also as to whether such a gap even exists. For example, a 2007 and a 2009 follow-up study by B. Lindsay Lowell and Hal Salzman, Steady as She Goes? Three Generations of Students through the Science and Engineering Pipeline, claim:

  • There has been no decline in the total number of STEM graduates;
  • The number of graduates is sufficient to meet demand; and that
  • Many of these graduates are adequately qualified and prepared for available jobs.

According to their research, the primary problem is that only one-third of these graduates end up taking jobs in the fields in which they graduate. This drop-off, which began in the 1990s, spans all levels of students, from lower through upper quintiles. The drop, however, is particularly steep among those with the highest SAT/ACT scores and GPA averages—i.e., the best and the brightest of STEM graduates. Although their research does not show the reasons for this leakage from STEM careers, the authors see two possible reasons:

  1. Growing numbers of graduates are going into jobs that, while not specifically categorized as STEM, entail STEM skills—jobs such as patent law, medical sales and management in technology firms; and
  2. Growing numbers of the most qualified graduates end up taking jobs in fields that offer higher salaries (such as finance), more prestige and more varied experiences (such as consulting) or more flexible career paths (such as management).

In their view, the conclusion that today’s graduates are not qualified for STEM careers is “not supported by this data.” They believe that the primary problem is that the rewards of STEM careers are not sufficiently attractive to retain the best and the brightest graduates. Their primary recipe for attracting these graduates to STEM careers: increase pay.

Lowell and Salzman’s diagnosis of the problem and prescription for the solution are shared by others. Vivek Wadhwa of Duke and Berkeley Universities, in particular, has long argued that there is no shortage in STEM talent. The problems, as he lays them out in a TechCrunch face-off with ex-Intel chief Craig Barrett, are three-fold:

  1. Much of the nation’s talent is “bottled-up” in the form of postdocs (post-doctoral fellows hoping to get a faculty appointments) who are locked into a broken university technology education system;
  2. U.S. government policy makes it increasingly difficult and unattractive for foreign-born graduates of U.S. universities—who account for half of all U.S. STEM Masters and PhD graduates—to remain in the U.S.; and
  3. Technology firms do not pay top graduates what they are worth, particularly relative to finance and consulting companies.

Causes of the STEM Pipeline Leakage—A Skills Gap

Not all studies come to the same conclusions. The U.K., which faces a similar issue in which half of its STEM graduates take jobs in other fields, launched a series of studies into the reasons. Although these studies certainly admit a loss to higher-paying career paths, they, as concluded in a 2010 study, Shaping Up for Innovation: Are we delivering the right skills for the 2020 knowledge economy, also find some evidence for the possibility that some STEM graduates do not have the skills required to meet employer needs.

The authors cite a 2008 CBI (Confederation of British Industry) study finding that 42% of employers see the quality of graduates as a major barrier to STEM recruitment. A 2009 study that examined The Demand for Science, Technology, Engineering and Math Skills, meanwhile, found that the occupations in which many of these STEM graduates actually end up, pay significantly less than jobs in STEM and finance. (A Georgetown University Center on Education and the Workforce compilation of U.S. salaries and unemployment rates by college major shows that STEM and finance jobs also tend to pay significantly better than, and have lower unemployment rates than, do jobs in most other fields.)

So, if STEM and finance pay better, and offer better employment prospects than do other fields, why would so many STEM grads shun these higher-paying fields to take jobs outside of the areas they had studied? According to the Demand for STEM Skills and the Shaping up for Innovation studies’ authors, there must be “some kind of mismatch between the type of skills STEM graduates have, and the type of skills sought in science occupations.” They do, however, plan to commission additional research to determine the extent to which these patterns are attributable to a skills mismatch, rather than individual choice.

What are these mismatches? Although they vary by sector, the CBI survey shows that employers’ primary concerns relate to candidates’ technical and practical skills. There is, however, a broad overarching concern that STEM candidates lack a number of softer skills in areas including problem solving, commercial awareness, team working, communication, interdisciplinary perspective and empathy for different points of view. (Note that this list is quite similar to that posed in my October 30th blog, Core skills Required in a Knowledge Economy.)

This all leads to a number of questions that I will address in subsequent blogs and in my planned book—what can be done do address these skills gaps and mismatches? What should students do today to ensure that they are best equipped to capture the jobs and build the careers of the future?

Scaling Infosys’ Educational Programs

Sunday, September 25th, 2011

Infosys, as discussed in my September 11 blog, has developed one of the IT industry’s largest and most comprehensive talent development programs. Although the program was created I India, and is by far the most mature, multifaceted and far-reaching in India, the company is now bringing parts of the program to other countries in which it operates.

From India to the World

Infosys has, for example, implemented versions of its CampusConnect program (which help colleges develop and launch business-relevant curricula and courses) in other countries in which it has Delivery Centers. It is, for example, working with Malaysian university faculties to improve IT education and with Mexican faculties to develop an IT curriculum to make programs more industry-relevant.

Just this month, it entered into an agreement with Singapore Management University (SMU) to jointly develop content, case studies and learning labs for both Infosys employees and SMU undergraduate and graduate students. They also plan to conduct joint seminars and tutorials and collaborate on currently unspecified research and pedagogy projects.

Infosys, however, is focusing the vast majority of its Out-of-India efforts on China, the county in which it has already hired 3,500 employees, with plans for another 8,500 in three years. For example,it  opened a Development Center in Shanghai and an Education Center in Jiaxing. This new Education Center, which will eventually accommodate 3,000 students at a time, will generally replicate the company’s Mysore curricula and courses, but tailor them to the specific needs of Chinese recruits. More than 650 recruits have already completed the Center’s foundation training program and another 350 in process.

The company is also beginning to work with Chinese universities. It has, for example, launched a Chinese version of CampusConnect and is working closely with local governments to extend the program to more schools in other regions of the country.

Multi-Lateral in India

Infosys is also working to scale its education programs by partnering with third parties. These partners include:

  • Individual companies, such as Microsoft, which is now participating in SPARK; and
  • Non-profits, such as NASSCOM, where it is sharing best practices with the group’s Education Council, for deployment across India; and
  • Pan-national organizations, like UNESCO, to share learnings and identify best practices that can be applied across many different countries.

The company also forges more informal cross-border relationships. For example, it regularly invites industry bodies and faculty from other countries to visit Mysore. They have hosted a range of countries, from barely emerging (like Bhutan and Rwanda) and solidly industrializing countries (such as Thailand and Colombia) to learn and deploy capabilities in their own countries.

Applying Indian Learnings to Developed Countries

Cross-border learnings on employee development and most other business processes typically flow from more developed countries (which typically have the educational institutions to create and the corporations to test and develop best practices around these processes) to less developed countries.

Perhaps, however, it is about time for more such learnings to migrate in the other direction. Companies ranging from Proctor and Gamble and General Electric Medical Systems have developed products specifically for emerging countries that have since been migrated to developed countries. There are similar opportunities for migrating business models, such as Li & Fung’s supply chain practices and Bharti Airtel’s use of variable cost, virtual infrastructures.

On one hand, it may seem strange to suggest that countries like the U.S. and England—countries that virtually invented and still have some of the best colleges and corporate talent development and management practices in the world—could learn much from India. That country’s IT services sector, for example, is prospering only because the private sector was forced to develop capabilities that the public sector was not capable of providing.

But in many senses, developed countries are now facing some of the same challenges as developing countries. These include a sclerotic education-to-employment pipeline that does not seem capable either of:

  • Preparing students with the skills that will be required in an increasingly global knowledge economy, or of
  • Reskilling current workers who must learn totally new skills to qualify for new jobs in their current industries, much less those in new growth industries.

This is certainly not to suggest that emerging country companies have some type of inherent advantage over developed country companies, either in helping schools to graduate more employment-ready students or in proactively developing the skills that current workers will need for tomorrow’s jobs. After all, Western IT services companies such as IBM, HP and Accenture, were faced with many of the same challenges as their Indian counterparts in growing the Indian talent pool. These companies addressed their Indian needs in much the same way as did the Indian IT services firms. All of these companies–both Indian and Western–are now applying similar practices to develop their Chinese labor forces.

Some Western companies–especially IBM in universities and Microsoft in secondary schools—are at least as active in partnering with U.S. schools as Infosys is in partnering with Indian schools. It is, however, a shame that such actions are not ubiquitous, across not just the technology industry, but all industries.

Given the seemingly intractable challenges faced in reforming our education system and in addressing the worsening mismatch in the skills that students graduate with, versus those needed by employers, this country’s education system seems to need at least as much help from the private sector as do those in China and India. In fact, in some ways it needs even more, since U.S. and European students are increasingly turning away from the type of STEM educations that Indian and Chinese students crave.

Perhaps many more companies, across all industries and countries, have something to learn from the Indian IT services industry’s experience in educating, developing and managing talent.

The ACM Computer Programming Competition: Lessons for America and from IBM

Sunday, August 28th, 2011

My previous blog, The United States’ Clogged Technology Education-to-Employment Pipeline, provided a number of examples of how U.S. students, from K-12, to college to grad schools), are falling behind their counterparts in other countries across virtually all segments of STEM education. Although these deficiencies are troubling in their own right, they only begin to suggest a much bigger, much more troubling problem for the U.S. economy.

The educational system is, after all, the primary pipeline through which corporations receive the steady flow of talent they need to keep America competitive in a global economy. And since this competitiveness will be based on innovation, this talent must be fluent in the language of innovation. STEM is that language.

Although I have spoken with many people and have read and written much on the challenges facing U.S. STEM education, I never really had a chance to see the manifestation of these challenges for myself. Therefore, I was happy to travel to Orlando Florida to learn about and see the world finals round of the Association of Computing Machinery (ACM) International Collegiate Programming Contest (ICPC).

This blog briefly describes the contest and its outcome, and provides my view of the implications for the U.S. Its primary focus, however, is on corporate support of these competitions and on their role in supporting the recruitment activities of their sponsors—in this case, IBM:

  • Why, for example, has IBM sponsored and funded this competition for the last 15 years, and why it has committed to continuing to do so for at least the next 5 years;
  • What value does IBM get from this generosity and what is it doing to maximize the value it derives from it; and
  • What are the implications and opportunities for other tech vendors that hope to promote STEM education and improve their own chances of recruiting the most promising graduates?

The ACM International Collegiate Programming Contest

The contest is a multi-stage competition that started with more than 300,000 students. It begins with dozens of local competitions, and progresses through six geographically-aligned regional competitions (this year, with 24,915 contestants from 2,070 universities and 88 countries). It culminates in a final competition that, this year, consisted of 315 students on 105 teams.

These teams compete not only with each other, but also against tight time constraints and limited resources (one computer and three calculators per team) in an attempt to solve eleven real-world problems. They must often deal with ambiguity, exercise judgment to assess when to submit an answer (to avoid penalties for incorrect submissions) and continually reassess their strategies to determine on which problems to focus their energies. Success, therefore, depends not only on speed and accuracy, but also on teamwork, resource prioritization and allocation, quick thinking, and adaptability.

The questions are designed with varying levels of difficulty, from a couple that require relatively moderate skills to a couple that would challenge many of the best, most experienced programmers in the world. In the end, after five hours of intense work, ten teams answered seven questions correctly, and two teams managed to answer eight, an impressive feat for college students, especially under the constraints imposed by the rules.

As has been the case in most years since the competition went international, this year’s winner’s circle was led by teams from Russia (four of the top ten teams) and China (two of the top ten, including 1st place Zhejiang University and 3rd place Tsinghua University). In fact, combined, these two countries represented half of the top 26 teams (7 for China and 6 for Russia), with two other perennially strong countries, Poland and the U.S., taking two spots apiece and another, Ukraine, capturing three.

U.S. schools, who typically make quite respectable showings, qualified 18 teams for the finals. One, North American regional champion University of Michigan Ann Arbor, took 2nd place in the world finals and three others (Carnegie-Mellon took 13th, MIT 32nd and Princeton 48th) in the top 58 (all of whom had at least 4 correct answers). The remaining 14, each correctly answering fewer than four questions, received Honorable Mentions.

As would be expected, men overwhelmingly dominated the competition, with women accounting for fewer than 10 of the 315 contestants. This year, however, a woman was part of the Zhejiang University championship team. (As I discussed in my previous blog, U.S. women, while expanding their inroads in science and especially medicine, are poorly represented in math, engineering and IT.)

Challenges for the U.S.

Although one must not try to read too much into the results of one competition, Russian and Chinese (and more broadly, Eastern European and East Asian) schools are traditionally among the winners. U.S. teams, meanwhile, typically do make quite respectable showings. Approximately 20 U.S. schools typically make it to the finals, and in eight of the last 15 years at least two U.S. universities have won medals (i.e., placed among the top 12). In fact, at least three U.S. teams medaled in four of the last 15 years, with one winning the championship and five placing second.

Respectable: yes. But as the results of this competition (not to speak of the educational statistics cited in my July 31 blog) make clear, companies that need access to the best talent must look well beyond U.S. citizens and U.S. schools. After all, non-U.S. universities, as is clear from the competition, already contain much of the world’s best programming talent. (Meanwhile, some of U.S. teams, including the Number 2 University of Michigan team, included students from other countries.) These non-U.S. students and schools promise to become even more competitive as Asian schools, in particular, continue to improve, attract more world-class professors and become more attractive destinations for the world’s most promising students.

Meanwhile, as discussed in my July 31 blog, U.S. students (with the notable exception of Asian-Americans) are moving away from STEM disciplines and U.S. universities now count on non-U.S. citizens for rapidly growing percentages of their undergraduate science and engineering classes–259,000 new undergraduate students in 2009/10 alone (not to speak of an absolute majority of their PhD candidates).

That creates a problem: The U.S. is producing fewer of its own world-class programmers and IT engineers. Meanwhile, U.S. companies are finding it increasingly difficult to bring world-class talent from other countries into the U.S. Where then will these companies find the talent they need to grow?

This brings us full-circle back to the ACM competitions, and specifically to IBM, which sponsors the competitions.

Opportunities for IBM

IBM has been sponsoring the ACM competition for the last 15 years and has just committed to extending this sponsorship for at least the next five years. Why does it devote so much money and so many of its people to this work? It hopes to:

  1. Recognize and spotlight STEM skills;
  2. Inspire more students to study and develop their problem-solving skills in these fields;
  3. Encourage and facilitate cross-cultural exchange among schools and students; and
  4. Identify some of the best STEM talent in the world, expose them to IBM and the types of problems they would work on at IBM and improve IBM’s ability to recruit these people.

IBM, as exemplified by its rapidly expanded focus on donating money, products and expertise to educational institutions, and as demonstrated by programs such as its Academic Initiative and its newly announced P-Tech high school partnership with New York City, is deeply committed to encouraging students and helping all levels of schools to improve STEM education.

But for all of its philanthropic efforts, IBM is also intent on reaping its fair share of the rewards from such efforts. It wants the best and brightest of these graduates to join IBM. This is more of a challenge than it may appear. True, IBM is clearly one of the leading and most diversified IT companies in the world. It is also consistently rated as one of the world’s top brands and one of the best companies for which to work. Still, it is generally less visible to students than are more consumer-facing brands, such as Microsoft and Google and does not offer the type of pre-IPO lure of companies such as Facebook and Twitter.

The ACM competition provides IBM with a unique opportunity to meet and to present itself to many of the most promising college-age programmers in the world. It is, therefore, no surprise that IBM leverages the competition to introduce itself to these students. It provides demonstrations of some of the company’s cutting-edge technologies and research, and populates the conference with a number of IBM employees who are alumni of the ACM competition and of some of the schools represented in the contest.

It has also set up a separate recruiting process, separate from but coordinated with the company’s primary recruiting efforts, to learn what interested contestants are looking for in their careers and to help identify how they can accomplish their goals at IBM. This year, the company went a big step beyond recruiting. In addition to monetary rewards (of up to $12,000 per team) from ACM, IBM, this year, made open job offers to the top 12 placing studentsthree members from each of the Top Four teams in the competition. The company will offer them jobs or internships in whichever IBM group (IBM Research, Software Group, etc.) and whichever country (subject to IBM operations in and government permissions) they choose.

IBM’s partnership with ACM provides yet another example of how a company can do well by doing good.

The Services-Led Verticalization of the IT industry (and what it says about the future of the industry and its need for talent)

Sunday, March 28th, 2010

I feel that I have just witnessed history. Well, maybe not the type of “Capital H” History that one normally thinks of, like the fall of the Berlin Wall or the Red Sox 2004 World Series victory, but at least a “small h” history.

This month, I attended two IT analyst conferences. For those who do not typically attend these events, some vendors, such as Hewlett-Packard (March 9 and 10, 2010), hold them annually. Others, like Dell (March 24, 2010), schedule them only occasionally. But regardless of the frequency, these events are typically intended to provide previews of the vendor’s new strategic initiatives. The vendors typically preview such big new initiatives with industry analysts to assess reactions and tune their presentations before taking them to audiences (like financial analysts and especially customers) that vote with dollars, rather than reports.

Two things were historic about the HP and Dell conferences:

  1. Both companies emphasized big, corporate-wide focuses around delivering business solutions that are tailored to the needs of specific industries; and
  2. Both highlighted dramatically expanded roles for their services organizations in delivering new types of business (in addition to traditional IT) services and increasingly, in leading the respective company’s solutions-based go-to-market efforts.

Why are these announcements so historic? Because both HP and Dell have traditionally been product-focused companies that presented broad, technology-focused horizontal value propositions that are applicable to customers across all types of industries. They have traditionally led their marketing programs and sales efforts primarily on the basis of the strengths of their products, their price-performance and the ways in which these products, combined with related technology services, would improve customer IT environments.

Don’t get me wrong. Both companies will generally retain their traditional IT solution-based go-to-market and business models. Both will continue to rely primarily on horizontal value propositions and product-led sales.

However, both companies have recently made major acquisitions of big business and IT service companies. HP completed its acquisition of EDS 18 months ago and Dell just closed its acquisition of Perot Systems in November 2009. These acquisitions, and the new directions they are enabling, represent huge turning points not only for the vendors themselves, but for the IT industry as a whole.

The reasons? Both HP and Dell had been notable holdouts in an industry that has, over the last five years, steadily migrated from:

  • Value propositions that emphasized the IT value of their offerings, to propositions that emphasized the value these solutions can deliver to the business;
  • Horizontal marketing and go-to-market models that emphasized the value the vendor’s IT solutions could offer to all companies, toward more vertical, industry-focused models that identify business needs that are specific to individual industries and portray vendor-specific points of view as to how the vendor can address these needs; and from
  • A product-led sales model that focused almost extensively on technical sales to the customer’s IT organization, to more of a services-led sales model in which more business-value-focused account managers engage as closely with the customers’ business executives, as with their IT executives.

Both companies used their March analyst briefings to highlight the growing roles of their services organizations (Dell, in fact, launched its conference with a presentation by its top services executive) and their growing focus on business-based, industry-focused value propositions (HP, for the first time, dedicated one of its keynotes to solving industry problems and Dell repeatedly emphasized Perot’s particular focus on healthcare).

The Services-based Future of the IT Industry

HP and especially Dell’s migrations from their traditional product-based, IT-focused, technical value propositions to more business-based, services-led models provide a validation that the IT industry is maturing, that value propositions must be increasingly targeted and that vendors must increasingly focus their sales efforts on business executives who lead profit centers, rather than on IT executives who lead increasingly financially-constrained cost centers.

While customers increasingly squeeze IT department budgets and impose shorter and tighter return requirements on IT projects, vendors will have to focus their efforts on those line-of-business executives who can marshal required discretionary funds required to fund projects that address pressing business problem and promise to yield demonstrable, measurable business value.

Although there will certainly continue to be huge, cross-industry, horizontal transformations of IT infrastructures, such as migrations to cloud-based infrastructures and service delivery, services-based software and, increasingly, mobile wireless clients, most companies have already made their big IT investments and have already achieved most of the “easy” gains associated with automation. Product—especially hardware—revenue gains will become increasingly difficult to come by and services will play increasingly critical roles in growing vendor’s revenues, smoothing revenue streams and increasing margins.

These services organizations will play increasingly critical roles not only in delivering on IT vendors’ value propositions, but also in leading vendors’ engagement with—and promoting the value of—these vendors’ solutions to their customers. They will be increasingly aligned around four primary centers of gravity:

  1. Industry-focused business services, some of which may be billed separately, but more of which will play demand-creation roles, as by being integrated into vendor marketing organizations (to identify pain points, develop points of view and work with product teams to develop business solutions) and sales teams (to lead engagements with customer business executives and budget holders);
  2. IT consulting services to architect and deliver solutions and manage transformations of customer environments;
  3. Support services to maintain customer environments, ensure customer satisfaction, identify new sales opportunities and provide profitable, annuity revenue streams; and
  4. Managed/outsourcing services which will increasingly integrate and subsume the roles of all three of the previous services organizations and increasingly become the primary design center, customer engagement arm (for both go-to-market and ongoing support), delivery vehicle and revenue/profit engine for virtually all IT companies.

I will discuss the prospects for and implications of these changes in HP in a forthcoming blog, tentatively named, “HP Goes Vertical”.

The IT Industry’s Changing Talent Requirements

The transformation of IT vendors from products-focused technology companies to business-solutions services companies will fundamentally change their requirements for people. Sure, IT companies will continue to require all of the same skills that they currently employ. But, unless they grow very quickly, they will need fewer of these people and more—in many cases, many more—new people with different skills.

I will discuss these new talent needs, at least from the perspective of HP, in another forthcoming blog, tentatively titled, “Addressing HP’s Industry Solutions Talent Gap”. In brief, however, these new-generation IT companies will require fewer technology specialists across virtually all parts of their organizations—product engineering, IT consulting, support, and especially marketing and sales.

Although all of these vendors will certainly require some IT specialists in all of these areas, they will have rapidly growing needs for people who truly understand their customer’s business needs.

They will, for example, need people who understand enough about these needs to identify the markets for and lead the development of business solutions. They will have particular needs for new types of consultative account executives and salespeople—people who understand enough about their customer’s specific industry and business needs to ask penetrating questions designed to uncover the customers’ deepest, and in some cases least well recognized or articulated pain points. They must, however, also understand enough about IT and the vendor’s product line to demonstrate which, if any of the vendor’s solutions are best suited to addressing that pain and to restate the customers’ need in a way that leads them to recognize the suitability of the vendor’s solution to their need.

These vendors will also need people who can delve into these needs much more deeply than account executives can or should do for themselves. They will, for example, need business and business process consultants. Not necessarily the type of senior consultants that are the hallmark of the management strategy firms, but those with a deep sensitivity to the needs of business and at least a few years of experience in analyzing and architecting business solutions.

These consultants would certainly support marketing and sales in their demand creation roles and in some cases, serve as the vendor’s primary contact to line-of-business executives. The consultants would also:

  • Serve as intermediaries between customers and product/solution design engineers;
  • Architect business solutions to address customer needs; and
  • Ensure that the ultimate solution actually delivers the business benefits that have been contracted for.

But while IT vendors will certainly have much greater needs for the type of “T-shaped” people who can understand the true needs of their customer’s business and determine and articulate the ways in which the vendor’s technology can address that need, the vendor’s needs will be dwarfed by their customers’ needs for the same type of people. These customers will require the type of IT people who understand almost as much about their own company’s business needs as their IT needs and business people who fully understand how IT can address their business needs. After all, customers who lack such people on staff will be less capable of anticipating, justifying, driving, implementing or effectively using the solutions the vendors are trying to sell.

The real challenge—for both vendors and customers alike—is that there simply aren’t enough such people to go around. And, with fewer and fewer U.S. and European students studying the type of STEM (Science, Technology, Engineering and Math) disciplines that are required to make these links between business and technology, these shortages are likely to get much worse, before they get better.

As I have argued in many previous blogs and reports, IT companies MUST take a much more active role in creating such people.

The Great U.S. Tech Education Debate

Sunday, March 21st, 2010

On March 15, TechCrunch produced a very informative debate between Craig Barrett, former CEO of Intel and huge proponent of technology education, and Vivek Wadhwa, a Duke/UC-Berkeley professor who writes extensively on innovation, entrepreneurship and cross-border movement of technology talent. 

The debate was spawned by a Wadhwa comments in a Scientific American article that claimed there is no shortage of tech talent in the U.S. To summarize a debate, which must be read in its entirety to be fully understood, Wadhwa claims there is plenty of talent in the form of STEM (science, technology, engineering and mathematics) talent in this country. The problem is that much of this talent is in the form of postdocs (post-doctoral fellows) that are bottled up in a broken university technology education system, and in foreign-born PhDs who, once they receive degrees from U.S. universities, find it increasingly difficult or unattractive to remain in the U.S. If the artificial economic and political restraints were removed, and STEM PhDs were actually paid what they were worth, this talent would be unleashed and produce the type of innovation and jobs that the U.S. so desperately needs.

Barrett views things differently. Although he acknowledges that some postdoc PhD’s do not achieve their commercial market potential, he claims that this is due to their decisions to dedicate their efforts to the long, uncertain process of becoming tenured professors at research universities, rather than working at corporations. In his view, the real problem lies in our K-12 education system, which, due largely to the lack of qualified science and mathematics teachers, fails to ignite children’s’ imaginations around the opportunities in these disciplines and fails to provide a foundational knowledge for university study.

Wadhwa certainly acknowledges the limitations in the U.S. K-12 education system and the need to create “excitement about science and engineering at the national level and motivate our best and brightest to become engineers and scientists.” He, however, clams that the biggest problem is pay. The scientific community in general and the educational system in particular, simply do not pay enough to retain the best talent. These people are lured by the huge the huge rewards promised by the financial industry (such as becoming venture capitalists or investment bank “quants “), rather than become research scientists who drive U.S. innovation.

My Interpretation

While the debate is fascinating, it appears to me that Wadhwa over-generalizes the admittedly disturbing dilemma of postdocs. Just because some STEM PhDs remain in poorly paid fellowships (with hopes of earning valued professorships) rather than going to industry, it does not necessarily mean either that:

  • There are not enough jobs for STEM graduates; or that
  • STEM professions do not pay competitively.

True, not all STEM PhDs can become professors at prestigious research universities. On other hand, not all law school graduates can win U.S. Supreme Court clerkships or highly paid posts at premier white shoe law firms. That, however, does not stop students from overwhelming law school admissions offices. Nor do the short odds of becoming professional athletes, actors or musicians prevent millions of young adults from aspiring to these careers.

Even if there are not enough tenured professorships, PhDs who do need jobs can always “stoop” to work in the private sector. Nor should we confine the analysis of STEM jobs to PhDs. There are, after all, far more Bachelor and Master-level STEM graduates than there are PhDs. Most statistics show that newly minted STEM graduates have higher employment rates than other job categories (even during the recession) and that by far, the largest percentage of unfilled jobs utilize STEM-related skills. Moreover, starting salaries for these graduates remain among the highest of those for all degrees. As shown in a March 2010 Association of Colleges and Employers study, for example, engineering and IT jobs account for all ten of the top ten earning degrees. 

Although some segments of the financial services industry certainly pay more for a handful of the best graduates from the best schools, this cannot be viewed as the standard for all STEM jobs—just as Wall Street law firm salaries cannot be viewed as the standards for all JDs from all law schools. These numbers are too small, and their selection criteria too limited to apply to all graduates.

In sum, I generally agree with Craig Barrett that most people—especially young people—are driven as much by their passions as by the immediate opportunities for monetary rewards. There are, however, limits to this idealism. Pay must yield reasonably comfortable lifestyles and must at least be in the same ballpark as reasonably competitive fields. Although most STEM careers probably meet these criteria (except when compared with financial services, professional sports or entertainment), the big exception is in K-12 STEM education.

Unfortunately, it will take much more than competitive salaries to fix this country’s K-12 education system. Its problems are far too complex and ingrained to be solved by the education community alone. As I have discussed in many of my articles, solving these problems will require a huge amount of assistance from the private sector.

A number of private sector companies—especially IT companies, like Intel, Microsoft and IBM—are already doing great work in helping to improve education at all levels, from K through graduate schools. They are giving schools some of the tools and the training required to improve teaching and learning and helping them improve STEM curricula.

Some are even attempting to address the intense social and peer pressures against becoming “geeks” and “nerds” by demonstrating that STEM skills can be instrumental in achieving the goals of many young adults—to make a real difference in the world. As discussed in my report on IBM’s Academic Initiative, IBM is doing particularly interesting work in engaging student’s desire to make a difference in the world by showing how STEM skills are so critical to addressing some of society’s most pressing problems, as around smarter healthcare, energy and food supplies.

With all due respect to Intel’s wonderful commercials, it may be too much to hope to persuade kids to view scientists, engineers and mathematicians with the same admiration and awe as rock stars or professional athletes. It may, however, be possible to engage at least some part of their minds, psyches and self esteem around the idea of helping the world solve real problems. Perhaps someday, children focused on such missions may even earn the respect, if not necessarily the admiration, of their peers.

The Economic, Competitive, Social and Political Implications of KPO

Sunday, March 14th, 2010

My last three blogs (The Growth of Knowledge Process Outsourcing, Evalueserve’s KPO Service Offerings, Understanding Evalueserve’s KPO Business) discussed the emergence and rapid growth and evolution of the Knowledge Process Outsourcing (KPO) industry and market. As I discussed, this industry, which was borne of and enabled by the boom in IT Services offshoring, takes the offshoring of services into totally new directions. The most basic of this work extends the IT industry’s experience in outsourcing standardized, structured, rules-based tasks into a number of more broadly defined, less structured and more discretionary functions.

The Evolution of Offshorable Services Jobs

More importantly, just as IT outsourcing progressed up the value chain from ministerial jobs, such as the maintenance of old legacy application into more conceptual work, such as in architecting of distributed Internet-based applications, so too is the outsourcing of a broad range of other “knowledge-based functions”. KPO is rapidly extending the offshoring of knowledge-based services:

  • Beyond jobs that consist of standardized, repeatable processes, are easy to learn and can be readily monitored and tracked (such as application maintenance and call center operator);
  • To those that require analytical (like financial and market analysis), conceptual (like legal research and architectural design) and, in some instances, innovative (scientific research and industrial design) skills. These services are typically less structured and manageable, entail greater discretion and, increasingly, require ongoing coordination with professionals in other countries.

Services Continunium

But to understand the real implications of KPO, you must combine the rapid growth in the type and number of jobs that can be performed offshore, with the:

  • Rapid growth in the number of foreign—and declining number of U.S.—professionals with science, technology, engineering and mathematics (STEM) training;
  • New information technology and communications (ITC) capabilities that allow work to be seamlessly performed and transferred across geographies and time zones; and
  • New management and collaboration practices that permit business processes to be componentized and workers from remote locations to seamless collaborate on complex tasks.

The result, as Princeton University’s Alan Blinder concluded in a 2007 study that was corroborated by an independent Harvard Business School study—between 21% and 42% of U.S. jobs have the potential of being outsourced. (Not that they necessarily will be outsourced, but that they are potentially outsourceable.) And, unlike the case with manufacturing jobs before them, the majority of these new positions are knowledge jobs that typically require college degrees.

Opportunities for U.S. Knowledge Workers

What does the growth and changing nature of knowledge outsourcing in general, and KPO in particular, mean for U.S. knowledge workers? Two things:

  • Regardless of whether Blinder and HBS’s numbers are right, the U.S. will undoubtedly lose millions of traditionally secure white collar jobs to offshore providers over the next decade; and
  • Although Indian providers will continue to source many jobs offshore, even they will be hiring American workers as firms including Evalueserve, Infosys, Wipro and Tata Consulting Services open, acquire and expand delivery centers in the United States.

What does all this mean to current and prospective U.S. knowledge workers? As I have discussed in recent posts, the U.S. will always retain millions of existing knowledge jobs and will continue to produce millions of new ones. The difference is that employers will look for very different types of skills than in the past. Those workers that Thomas Friedman calls “the average practitioners”—those people who perform routine tasks and those that wait for work to be handed to them—are becoming an endangered species.

Knowledge workers that hope to qualify for the secure jobs of the future—both in domestic and offshore firms—will require different sets of skills than those of Friedman’s average practitioners. As discussed in my report IT Companies as Catalysts in Creating the 21st Century Workforce (click here to see an excerpt or  here to request a free copy of the full report), these workers must be able to innovate, analyze and communicate. They must increasingly possess a new set of core skills that include:

  • IT, not necessarily in developing and managing IT environments, but in understanding which IT tools are most applicable to a chosen field and how to apply them to deliver business value;
  • Communications, the combination of writing, speaking, presentation (and optionally others, such as multimedia and video) that will be so essential in selling one’s ideas;
  • Internet (to the extent that such skills will not be innate in new-generation workers), which provides all employees complete access to all the information they need and the social networking tools and techniques that will be increasingly required to find allies, build consensus and effectively sell one’s ideas (both within and outside of their organizations); and
  • Mathematics (particularly analytic techniques and supporting capabilities such as statistics, modeling and simulations) to help workers derive true insight from, and develop innovative solutions based on the huge volumes of digital information that are becoming available to all knowledge workers in all disciplines.

People who possess such skills will produce higher value for their employers (whether domestic or foreign), enjoy higher salaries and better job security and will be in greater demand by other companies. Those that lack such skills will suffer the opposite fate

Evalueserve’s KPO Service Offerings

Sunday, February 28th, 2010

My last blog discussed the outsourcing of knowledge-based services and the growth and breadth of the Knowledge Process Outsourcing (KPO) industry. This blogs drills into some of the most general of these offerings by focusing on the evolution and growth of a single provider, Evalueserve. I focus on this company not because its services are unique (many KPO providers have similar offerings), but because it is representative of the broad range of horizontal knowledge-based business services that are now available from India.

Evalueserve Offerings

Evaluserve, which was founded in December 2000, now consists of more than 2,100 employees in Delhi-Gurgaon, India; Shanghai, China; Valparaiso-Santiago, Chile; and Cluj, Romania. Since it is a private company, its precise annual revenues are not known, but they are believed to be around $100 million. Its first offerings, launched in 2001, included intellectual property and business research services, targeted at lawyers, consulting companies, and investment banks. It added roughly one additional service per year, consisting of market research services, other banking-related research services, risk and data analytics services, and, in 2007, a range of legal process offerings.

It currently offers eight types of services, which are combined in distinct ways to provide customized solutions for its customers:

  • Market Research – qualitative and quantitative surveys and focus groups to address issues including employee satisfaction, brand perception, customer loyalty, event effectiveness, and new concept testing.
  • Business Research – market sizing, market assessment and segmentation studies, value chain analyses, competitive research and analyses, innovation searches, company profiling, and the identification of new business opportunities and business partners.
  • Investment Research – independent and support services to all types of financial services companies across four primary areas: equity, fixed income, corporate finance, and buy-side. It provides a full range of research services plus a broad range of analytical services, such as to model portfolios and risk, allocate resources, and simulate returns. It also provides reports and develops pitch books and marketing packs.
  • Intellectual Property Research – patentability and invalidation searches, patent landscape and portfolio analyses, patent drafting and filing services, and patent litigation support services.
  • Legal Support Services – a broad range of legal research and litigation, electronic document discovery, immigration support services, ongoing contract management, with the ability to bring engineers, scientists and business analysts, as well as lawyers and paralegals onto teams.
  • Marketing and Sales Support – services covering the sales spectrum, including lead generation, proposal and collateral production; sales analytics; client satisfaction studies; sales process benchmarking and public relations support.
  • Knowledge Technology Development – developing knowledge management tools including portals, taxonomies, business intelligence and data warehouses, and content management and elearning solutions.
  • Data Analytics – data acquisition and modeling as well as the use of analytics techniques including simulations and econometric modeling plus more specialized credit risk, consumer risk and market risk analytics services to banks and insurance companies. In addition, it builds dashboards and offers specialized services atop packaged data analysis software, such as Cognos.

Although the vast majority of Evalueserve analysts are recent graduates with only a few years of experience (see my next blog), the company also recognizes and accommodates client requirements for assistance from much more seasoned industry experts. The company’s Circle of Experts program is a network of more than 20,000 senior independent consultants or retired executives from across the globe, each with deep domain and industry expertise in their specific fields. These experts, who are billed at anywhere from $150 (for an Indian expert) to $900 (for a U.S. one) per hour, can address specific client questions, provide days of consulting, or provide an extra level of analysis to work provided by more junior Evalueserve analysts.

But while this provides an overview of the breadth of current KPO offerings, it is more important to understand the business models by which KPO providers operate, the value they provide to clients and the implications for U.S. knowledge workers is something totally different. This is the focus of my next blog.

The Growth of Knowledge Process Outsourcing

Monday, February 22nd, 2010

Over the last decade in my quarter-century career as an IT Industry analyst, I focused extensively on the outsourcing of increasingly high-level IT functions to offshore employees. I examined, for example, how offshore tasks have evolved from basic maintenance of old, centralized, Cobol-based applications to the architecting of new-generation, distributed Java and .Net-based apps and a broad range of other high-level IT functions. I examined how application outsourcing evolved into business process outsourcing, in which offshore providers not only managed increasingly sophisticated processes (as from basic call centers though comprehensive financial and supply chain processes), but also developed deep expertise in architecting and transforming entire processes to make them more secure, accurate and efficient.

Although Application Outsourcing (AO) and Business Process Outsourcing (BPO) growth has (along with everything else in the business world) stalled over the last couple years, they promise to resume rapid growth as the recession ends and companies strive to institutionalize the efficiency gains achieved during the recession.

Emergence of KPO

However, the greater growth, and even greater workforce implications will come from a new generation of outsourcing—the outsourcing of a broad range of sophisticated knowledge-based processes in fields ranging from financial analysis and marketing management to legal research and the research and development of the newest generation of sophisticated IT, communication and pharmaceutical products. Even hip replacement and open heart surgery is now being outsourced!

This growth of Knowledge Process Outsourcing (KPO), which was originally launched on the promise of cost cutting, or “labor arbitrage”, is now being driven by something else—the rapid growth in education in emerging countries and the rapid decline in availability of developed country students majoring in STEM (science, technology, engineering and mathematics) disciplines. It is simply becoming easier (not to speak of less expensive) to find, grow and mange such skills in emerging countries. (Note, that while the U.S. continues to lead the world in STEM PhDs, foreign-born students now account for more than half of all graduates. And since the U.S., through a combination of government policies and societal pressures, is making it increasingly difficult for foreign graduates to work in the U.S., more and more of these graduates are returning to their home countries—especially India and China—rather than contributing to the U.S. economy.

We have all seen, or at least heard of the rapid growth in offshore knowledge work:

  • Virtually all of the major financial service companies have opened offshore financial analysis centers;
  • All leading electronics and pharmaceutical companies have build large offshore research and development teams;
  • Offshore hospitals, which perform increasingly sophisticated surgeries for 15-20% of the price of domestic hospitals—with free foreign vacations thrown in—are proliferating and U.S. insurance companies are increasingly referring patients to them.

These, however, are just the most visible tip of a revolution that has begun to touch virtually every aspect of knowledge work. And while the fruits of these offshore knowledge sources were traditionally available only to those very large corporations that had the resources, skills and patience to build and manage their own offshore centers, the emergence of third-party KPO providers is rapidly democratizing the offshore knowledge processing industry, making such services available to mid-size, as well as large firms.

The Emergence of KPO Service Providers

All of the leading Indian IT providers now offer some knowledge processing services. (Tata Consulting Services, for example, offers business intelligence and performance management services, Infosys provides legal research and litigation support services and Wipro is a leader in product engineering services). A growing number of Western outsourcing providers also provide KPO services. IBM BPO/KPO offerings include a broad range of horizontal (including supply chain management) and vertical (as for banking, insurance and healthcare) offerings. So too does Accenture, with cross-industry services including financial and human resource management and industry-specific, such as Clinical Trial Management and Pharmacovigilance.

But while most of the leading outsourcers have begun to enter this field, their progress and active marketing of these offerings has—not surprisingly—slowed during the recession. As of now, the industry remains dominated by business KPO specialists. Although there are a few multi-line KPO providers, such as Outsource2India, KPO Experts and Evalueserve, the vast majority are specialists. More than 300 Indian firms already provide horizontal or industry-specific vertical services in fields including legal research and litigation support (Lexadigm), market research (Progonsys), business analytics (C-BIA) to architectural and drafting (Indovance) services.

Although the vast majority of the larger providers focus on providing business services to large or mid-sized companies, the Internet, combined with the emergence of third-party offshore service intermediaries, are now making KPO services available to very small businesses (as for Web design and accounting) and even individuals (such as for English and math tutors to personal assistants).

But, when you talk about business KPO providers, the discussion should begin with Evalueserve, one the first and largest of India’s multi-line KPO providers. My next blog (February 28 blog) will look specifically into the growth of Evalueserve and the range of services it provides. My March 7 blog will examine the implications for U.S. corporations and knowledge workers and what students and employees can do to “outsource-proof” their careers.

The Jobs of Today—and Tomorrow

Sunday, February 14th, 2010

I have written extensively about the jobs of tomorrow and the critical role of STEM (science, technology, engineering and math) skills in preparing applicants for these jobs. (See, for example, my recently completed free report,IT Companies as Catalysts in Creating the 21st Century Workforce.“) As explained in a new CareerCast study, these skills also critical in preparing applicants for the jobs of today—or at least many of the “best jobs”.

“Best Jobs”

What are these “best jobs” and what makes them “the best”? The study, which compiles U.S. Bureau of Labor Statistics and Census Bureau data, evaluates jobs in terms of five criteria:

  1. Stress;
  2. Working environment;
  3. Physical demands;
  4. Income and growth potential; and
  5. Hiring outlook.

While not necessarily the highest skilled (neurosurgeon, corporate M&A lawyer), highest paying (bond trader, hedge fund manager) or most glamorous (movie star, professional athlete), these jobs are available in reasonably high numbers and are available to people with relatively moderate (typically a four-year degree) degree of education.

Just what are these jobs? The top ten are, in descending order: actuary, software engineer, computer systems analyst, biologist, historian, mathematician, paralegal assistant, statistician, accountant and dental hygienist. All but two (historian and paralegal) require some form of specialized STEM education.

Perhaps none of these jobs are quite your cup of tea. Or, perhaps unlike CareerCast, you do not weigh each of the five criteria equally. You may, for example, be motivated primarily by income and advancement potential, or you may actually prefer a physically demanding job.

No worries. There are dozens of other jobs. But be forewarned: 37 of the CareerCast’s 50 “best jobs” (out of a total 200 ranked jobs) require some form of explicit math, science or technology background. Moreover, as I have discussed in previous blogs, a number of the 13 additional jobs (such as historian, sociologist, anthropologist and archeologist) increasingly require specialized IT and math skills, such as in compiling and analyzing huge quantities of information and data.  

Of course, this doesn’t suggest that ALL jobs that are intellectually, emotionally and financially rewarding require STEM educations. You can, for example, become a philosopher (11), attorney (80), author (74), clergyman (96) or artist (104), although most such professions require extensive training or specialized skills. There are also somewhat lower skill jobs. You can be a damn good paralegal (7), medical records technician (20), purchasing agent (40), jeweler (61) or actor (163) with little or no math or science training and few, if any, computer skills. But if you want to find jobs with no specialized training requirements or long apprentices, you generally have to move much further down the CareerCast list into lower-skill, more physical and/or more repetitive jobs such as waitperson (125), bus driver (137), retail salesperson (142) or mail carrier (191). And if you really want to live on the edge (literally and figuratively), you can always become a lumberjack (199) or roustabout (200).

Skills Requirements

But regardless of which type of career you choose, the work environment of the 21st century will not be like that of the 20th century. Jobs will remain scarce for at least the next five years, more positions will become temporary or freelance, and a growing number of jobs will be devalued or disappear as a result of increasingly pervasive globalization of knowledge work and the automation of functions that used to require human discretion and labor.

Success in this new environment will require much more than strong, specialized domain skills (whether STEM-based or not). Traditional left-brain analytical skills will, in fact, become the ante required for success in tomorrow’s jobs. Knowledge workers who hope to capture and retain the best, highest-value and most secure jobs must also complement these capabilities with increasingly large doses of left-brained conceptual and empathic skills. And, with all due respect to technophobes, virtually all high-value knowledge jobs will also require at least basic quantitative, statistical and IT skills. IT, in fact, will increasingly have to become the second language for almost all 21st century knowledge workers.