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Business Model Analysis
Sharing expertise isn’t easy. Most of us think we’re
smarter than we are, and many of us like to pretend we’re
smarter than everyone else. Some of us would rather be
lost than ask directions. Even when we think we’re working
together in big groups or institutions – in businesses, social
movements, social media, or governments – we too often
mistake the crowd for wisdom…
That idea is the premise and promise of what might best be
called the expert economy. As the volume of information
expands and the time windows to make decisions shrinks,
the value of the expertise, experience, and wisdom it takes
to make sense of all that information multiplies just as
quickly. No matter how rapid the spread of artificial
intelligence, our economy and society will be stronger if
people have the opportunity to put their own intelligence to
good use. We have much to teach each other and much to
learn from one another.
What’s more: for many, sharing expertise could be the
next great gig.
Nearly a decade after it first emerged in the wake of the
global financial crisis, the gig economy has ushered in more
than its share of joys and sorrows. According to an analysis
by Intuit and Emergent Research, 5.8 million Americans will
work with on-demand platforms this year.1 Somewhere on
Earth, an Uber soon will be arriving to take a customer on
the company’s 10-billionth ride.
Business Model Analysis
The expert economy can’t match the rest of the gig economy in headlines or
valuations, but its ranks are rising. Analysts predict that this year the expert
economy will become a billion-dollar business. You may never have heard of
any of these networks. Yet together, these firms work with some 1.5 million
experts. That’s about the size of the active U.S. driver pool of Uber and Lyft
combined. Experts don’t work as often as drivers. Still, GLG alone has almost
as many experts (600,000) as Lyft (700,000) or Uber (750,000) has active
U.S. drivers.
Business Model Analysis
In 1998, Mark Gerson and Thomas Lehrman, two young New York-based
entrepreneurs, founded Gerson Lehrman Group, originally envisioning it as
a publishing house to produce industry guidebooks for investors. GLG
analysts would talk to a range of experts working in a particular field, then
summarize their findings. They quickly found that investors seemed less
interested in reading GLG’s analysis than in talking with the experts
themselves. That gave Gerson, Lehrman, and Alexander Saint-Amand,
who joined them shortly after the firm’s founding, an idea. Rather than
producing lengthy reports, why not connect investors directly with experts
who can help them learn exactly what they need to know? They set out to
build the first comprehensive expert network. Saint-Amand, who became
CEO of the firm in 2006, emerged as one of the industry’s chief
evangelists. Two major shifts in federal regulation of investment banks
created an opening for such networks to thrive.
In 2000, the Security and Exchange Commission (SEC) adopted new rules
declaring that companies could no longer selectively disclose information
to certain individuals before it was made available to the general public,
creating a greater demand for research in investment banking. And in
2003, U.S. regulators and 10 of the world’s largest banks reached a global
settlement to reduce conflicts of interest by forcing financial institutions to
separate their investment banking and research departments.5 These
changes meant institutional demand for research was greater than ever
while in-house capacity to gather knowledge was shrinking. At the same
time, technological advances enabled firms like GLG to meet that demand.
Google and LinkedIn made it easier to identify potential experts; email
made it cheaper to recruit talent; on-line contracts and payment systems
made it faster and cheaper to retain and reimburse that talent
A whole new industry of companies emerged. Guidepoint, a
New York City firm founded in 2003, became GLG’s largest
competitor. London’s ascendance as a financial capital fueled the
rapid growth of two other expert networks, AlphaSights and Third
Bridge. By 2008, GLG had nearly 200,000 experts in its network,
$284 million in annual revenues, and a $1 billion valuation.6 By
2010, there were nearly 50 expert networks worldwide.7
Beginning in 2008, the global financial crisis led a number of
hedge funds to close, costing expert networks a number of major
clients. Around the same time, a broad federal crackdown on
insider trading, which eventually led to dozens of convictions by
the Department of Justice across the financial and banking
sectors, also impacted the industry. The expert network firm
Primary Global Research (PGR) shut its doors in 2011 after 10
employees, executives, and consultants were found guilty of
felony charges related to insider trading. One PGR expert
employed by the tech firm NVIDIA was convicted of passing
inside information from her company and another chipmaker to
investors at two different hedge funds.
The crackdown even touched firms that had forbidden experts
from discussing sensitive information. Sidney Gilman, a
pharmaceutical expert GLG had warned not to discuss an
Alzheimer’s drug under development, conspired to give SAC
Capital employee Mathew Martoma a tip that earned his firm
$275 million.8 GLG never faced any suspicion of wrongdoing,
and GLG’s compliance rules were cited during the trial as
evidence that both Gilman and Martoma knew what they were
doing was wrong. When the dust finally settled from the financial
crisis and insider trading crackdown, the number of expert
networks had shrunk by more than half.10
Funding Timeline
Business Model Analysis
Social Media – Facebook Followers
Social Media – Twitter Followers
Services Offered (GLG example)
Business Process (GLG example)
Outlook
The dramatic growth of expert networks has made the matching process
easier and more powerful. According to GLG Chief Technology Officer Will
Ballard, “A CV is the most effective source for identifying a potential match.
You tell us where you’ve worked and give us a bio. That’s where we start.”
Research staff uses the company’s proprietary database to make most
matches. But with each match, the company learns something, too. GLG now
uses artificial intelligence to make 15 percent of matches. “We look like a
service company on the outside,” Ballard says, “but we’re definitely a
technology company.” Matches have to happen quickly. AlphaSights claims
that over 90 percent of all interactions occur within 72 hours of their clients’
initial briefing.35
Once they find the right match, professional learning firms use a variety of
ways to put experts in touch with clients. Some host roundtables for multiple
thought leaders and clients. Others offer businesses surveys of hundreds of
experts at a time. Most connections take place by phone. These conference
calls show the massive scale of the expertise-connecting enterprise. GLG
alone arranges 350,000 expert-client phone calls a year. That’s about 1500
calls a day. After collecting data on millions of calls, the company found the
average length to be 52 minutes.
For the experts, expertise sharing is truly a gig. “In no scenario is being an
expert an actual replacement for a job,” says one executive. “Unless you have
been actively employed you don’t have the necessary expertise.” What makes
experts so willing to jump onto blind 52-minute phone calls with people they
don’t know? To be sure, the money is good. On an hourly basis, some
experts command close to what a law firm or expert witness might charge –
up to $1,000 an hour for a few, the low three figures for most everyone
else.36 It’s called the high-end gig economy for a reason. For most experts,
however, demand is episodic – something interesting to do now and again.
What the Expert Economy Means for Traditional
Consulting:
The emergence of the PwC Talent Exchange suggests that
while the expert economy spun out of the investment research
sector, it looks increasingly like the on-demand economy’s
answer to traditional consulting. By some estimates, business
consulting is a $250 billion global business.53 The Wall Street
Journal recently reported that the Big Four auditing firms –
Deloitte, PwC, EY, and KPMG – now generate more revenue
from consulting and advising (up 44% since 2012) than from
auditing (up only 3%).54 Management consulting firms are
built on the same model that big law firms are struggling to
sustain – charging partner prices for young associate labor,
producing top-shelf product at shock-and-awe scale, often
running the meter in weeks and months, not hours.
Outlook
A recent study of Millennials found that given the choice, one in four would
quit their jobs over the next year to join a new organization or do something
different. That proportion jumps to 44 percent if the time frame is expanded to
two years, with two-thirds of Millennials hoping to have changed jobs by 2020
and just 16 percent seeing themselves with their current employer a decade
from now.42 Millennials are not alone in their quest for more short-term
working arrangements. More and more, people of all ages are opting for
flexibility rather than traditional stability and businesses are starting to take
notice. A recent study found that almost half of all business leaders believe the
top socio-economic driver of changes in industry is the changing nature of
work or flexible work.43
Firms frequently complain that they lack the right internal workforce to get
projects done. Those businesses face a difficult decision: whether to hire more
staff with the skills needed to complete this project. Bringing on full-time talent
may diminish a firm’s ability to shift priorities quickly and take on diverse
projects. According to the 2017 Catalant survey, 35 percent of companies with
1,000 or more employees are using on-demand knowledge workers to support
key business initiatives, although firms with 5,000 or more employees are
more likely to do so than smaller midsize firms. Three-quarters of the
companies using on-demand knowledge workers are satisfied, but half
struggle to find the right person and 45 percent find the cost is high.44
The Rise of Talent-on-Demand
Professional learning firms, consulting firms, and even some major
corporations are forming Talent-on-Demand divisions. Starting in 2014,
recognizing an opportunity beyond one-on-one phone consultations, GLG
began helping place experts on temporary assignment. The rush of top talent
Outlook to technology companies has left many industrial
companies with gaps. GLG has targeted the life sciences
sector, among others, where talent is particularly expensive
and hard to find. In a 2016 PricewaterhouseCoopers survey,
more than three-quarters of pharmaceutical CEOs worried
about a skills shortage.45
That same year, PricewaterhouseCoopers launched its own
platform called Talent Exchange, an online marketplace for
highly skilled independent talent interested in working on
consulting projects for and with PwC clients. “Let us help you
find your next gig,” Talent Exchange promises. A recent
search of the site found 198 gigs, ranging in duration from 1
week to 143 weeks. Half involved traveling at least 60 percent
of the time, to such exotic destinations as Suwanee, GA, and
Omaha, NE. The talents in demand ranged from
cybersecurity to portfolio management.46
On-demand talent has the ability to allow businesses to
increase their capacity to take on new projects, while
remaining flexible to adapt to the ever-changing future of
work as new opportunities arise. In its 2017 CEO survey,
“The talent challenge: Harnessing the power of human skills
in the machine age,” PwC found that 77 percent of CEOs
consider the availability of key skills “the biggest threat to
their business.”47 That demand is a boon for the high-end gig
economy. A recent MavenLink report found that 56 percent of
executives currently in full-time positions say they have done
contract work in the past; and 63 percent say they would
leave their full-time position for contract work if the
opportunity arose.48
Outlook
Financial Regulation and MiFID II
Europe has begun implementing new regulation to strengthen investor
protections and improve the functioning of financial markets. In January 2018,
the second version of the Markets in Financial Instruments Directive, or MiFID
II, took effect across member states in the European Union. While the law is
long and complex (it contains nearly 7,000 pages), one section centers on
research by investment firms. MiFID II will require that investment banks
charge separately for research and brokerage services. Before this law went
into effect, the cost of research was included in the fees that banks would
charge to execute trades. “The change is expected to lead asset managers in
Europe to shift spending on research from banks to other sources, perhaps to
the benefit of professional learning networks”.
The Beginning of Wisdom
At first blush, it is hard to imagine a more unlikely disruptive force than a
simple phone call. These days we text, we tweet, we e-mail, we glare at
colleagues for even thinking of taking a call in our shared workspace. On
conference calls we multi-task rather than listen, convinced we can learn more
from Googling than from the voice we’re half-listening to on the speakerphone.
So it is quite an irony that at Big Data’s Big Bang moment, when the universe
of information is expanding faster than humanity can comprehend, one of the
most efficient and effective ways to gain useful, actionable knowledge is to
spend an hour on the phone or face to face with someone who knows and can
teach us the very thing we want to learn.
The expert economy is built on two simple yet radical
principles: First, that each of us is an expert at something,
even if we don’t think so; and second, that our expertise is
worth sharing and has real value to someone else. As
technological and economic disruption upend the old order,
the notion of putting a premium on earned wisdom, hands-on
experience, and deep knowledge is itself a disruptive idea –
or perhaps a restorative and reassuring one. From medieval
guilds and colonial apprenticeships to family businesses and
schools of law and medicine, we have long learned how the
world works from one another. If modern management
consulting has become the way smart young people gain
business experience, the expert economy provides a way for
people who’ve mastered a business to share their
experience.
The most profound aspect of the expert economy is not
about business or technology. It’s the recognition that the
lessons of one person’s career and life are of genuine value
to others. For some, it’s a living; for most, it’s a good gig. But
getting paid to share life’s lessons is a bonus. The real prize
is realizing that the work it took to learn those lessons still
matters, and the life lived has been a worthy gig, too.
Notes & Sources
1 Rani Molla, “The gig economy workforce will double in four years,” Recode, May 25, 2017. 2 “Freelancing in America: 2017,” Edelman
Intelligence, October 17, 2017. 3 Alex Rosenblat, “The Network Uber Drivers Built,” Fast Company, January 9, 2018; Jonathan Hall, “An
analysis of CEEPR’s Paper on ‘The Economics of Ride-Hailing,’” Medium, March 3, 2018.
4 Some experts may only work once or twice a year, while Uber and Lyft active driver pools are by definition more active. Just as many drivers
drive for both Uber and Lyft, some experts belong to more than one network – which means a portion of the aggregate in both sectors is double-
counted. Even so, the numbers in both cases are quite substantial. 5 “2003 Global Settlement,” Financial Industry Regulatory Authority, April 28,
2003. 6 Paul Smalera, “LinkedIn Deal Whacks Consulting Firm GLG in the Nose,” Business Insider, June 30, 2009.
7 “Gerson Lehrman 2.0,” Integrity Research, March 26, 2014.
8 Robert Cookson, “Information matchmaker looks beyond Wall Street,” The Financial Times, June 1, 2016.
9 Matthew Goldstein, “Martoma, SAC Capital Ex-Trader, Gets 9 Years in Prison,” New York Times, Sept. 8, 2014. 10 “Gerson Lehrman 2.0,”
Integrity Research, March 26, 2014. 10 “Gerson Lehrman 2.0,” Integrity Research, March 26, 2014.
11 Julie Edde, Nishant Kumar, and Suzy Waite, Investors are Paying $1,300 an Hour for ‘Expert Chats,’” Bloomberg, Feb. 28, 2018.
12 Sanford Bragg, “Expert Network Industry Nears $1 Billion,” Integrity Research, April 12, 2018.
13 Sanford Bragg, “AlphaSights: Expert Network Industry Will Be $5+ Billion,” April 16, 2018.
14 Sanford Bragg, “Gerson Lehrman Recruits New Technology CEO from Ebay,” Integrity Research, March 27, 2018. 15 “Gone Global: Ten
Years of AlphaSights,” Medium.com, March 19, 2018.
16 “Annual Report and Financial Statements for the Year Ended 31 December 2016,” AlphaSights Ltd., retrieved from
beta.companieshouse.gov.uk.
17 See “The Fast Track 100: 2017,” The Sunday Times, December 3, 2017, retrieved from http://www.fasttrack.co.uk/wp-content/uploads/2017-
Sunday-Times- Virgin-Fast-Track-100-National-press-release.pdf; and Martin Stabe, Andrew Rinisland, and Steve Bernard, “The FT 1000: The
complete list of Europe’s Fastest Growing Companies,” The Financial Times, retrieved from https://ig.ft.com/ft-1000/.
18 Retrieved from https://www.alphasights.com/corporate.
19 Retrieved from https://www.guidepoint.com/advisors/.
20 “Consultants Call on Guidepoint,” www.guidepoint.com; “Expert Network Global Hiring Binge Includes New Corporate Focus,” Integrity
Research, May 11, 2017.
21 “About Us,” www.thirdbridge.com. 22 Annual Report and Financial Statements for the Year Ended 31 December 2016, Third Bridge Group
Ltd., retrieved from beta.companieshouse.gov.uk.
23 “Third Bridge Strengthens C-Suite With New President and Chief People Officer,” retrieved from www.prnewswire.co.uk, May 3, 2018.
24 “About Us,” retrieved from www.colemanrg.com; “Chief Financial Officer,” www.colemanrg.com, April 25, 2018.
25 “Insights,” “Hosted Events,” retrieved from www.colemanrg.com.
26 “Connecting knowledge with opportunity,” retrieved from http://cv.tomodoherty.com/about/.
27 “Our Clients,” retrieved from http://cv.tomodoherty.com/about/.
28 “Company Overview of Capvision Partners Ltd.,” Bloomberg, May 4, 2018.
29 William Alden, “Mark Cuban Invests in Start-Up to Connect Companies to M.B.A.’s,” New York Times, Sept. 12, 2013.
30 Retrieved from https://gocatalant.com/expert-marketplace/.
31 Scott Kirsner, “Uber for MBAs is a worrying sign,” Boston Globe, April 15, 2012.
32 Nadim Yacteen, “Ripe for Disruption: The Business Model of Big Consulting Is Overdue for Change,” retrieved from www.gocatalant.com,
Nov. 6, 2017. 33 “Pauline Brown: Barron’s Top Independent Women Advisors,” retrieved from https://www.barrons-indywomen.com/brown.html.
34 Wayne Drash, “From button-down to stand-up,” CNN.com, Dec. 28, 2013; retrieved from
http://www.crainsnewyork.com/40under40/2010/Walker. 35 Retrieved from https://www.alphasights.com/corporate.
36 Robert Cookson, “Information Matchmaker Looks Beyond Wall Street, Financial Times, June 1, 2016.
37 “Capvision: Globalization Step Just Kicks Off,” retrieved from www.prnewswire.com, July 7, 2017. 38 Retrieved from
https://www.alphasights.com.
39 “Address Critical Skill Gaps with On-Demand Knowledge,” retrieved from Forrester.com, June 2017
40 “Address Critical Skill Gaps with On-Demand Knowledge,” retrieved from Forrester.com, June 2017.
41 Christopher J. Dwyer, The State of Contingent Workforce Management 2017-18: The Convergence of Talent, Technology, and the Future of
Work, October 2017. 42 “The 2016 Deloitte Millennial Survey: Winning over the next generation of leaders,” retrieved from www2.deloitte.com.
43 World Economic Forum, Future of Jobs Report, retrieved from http://reports.weforum.org/future-of-jobs-2016/.
44 “Address Critical Skill Gaps with On-Demand Knowledge,” retrieved from Forrester.com, June 2017.
45 Retrieved from https://www.pwc.com/gx/en/ceo-survey/2016/landing-page/pwc-19th-annual-global-ceo-survey.pdf. 46 Andrew Karpie, “PwC
Launches its Online Talent Exchange to Join the Independent Workforce Platform Economy,” Spend Matters, Feb. 20, 2016.
47 Retrieved from https://www.pwc.com/gx/en/ceo-survey/2017/pwc-ceo-20th-survey-report-2017.pdf.
48 “The White-Collar Gig Economy,” retrieved from www.mavenlink.com.
Notes & Sources
Disclaimer:
All written material (documents) and verbal material (consulting calls) are based on information collected within the public domain and on
assessments of Industry experts within the advisors professional network. The advisor prepared this Material utilizing reasonable care and skill
in applying methods of analysis consistent with normal industry practice. All results are based on information available at the time of review.
Other information, including government sources, trade associations or marketplace participants, may have provided some of the information on
which the analyses or data is based on. All written material is containing forward-looking statements and information on the business
development of any Industry/market place participants. These statements may be spoken or written and can be recognized by terms such as
“expects”, “anticipates”, “intends”, “plans”, “believes”, “seeks”, “estimates”, “will” or words with similar meaning. These statements are based on
assumptions relating to the development of the economies of individual countries, and in particular of the industry and related market
participants, which the advisor has researched on. The estimates given involve a degree of risk, and the actual developments may differ from
those forecasts.
Consequently, changes in factors upon which the written and verbal material is based on, could affect the results. Forecasts are inherently
uncertain because of events or combinations of events that cannot reasonably be foreseen including the actions of government, individuals, third
parties and marketplace participants. The advisor shall not be liable for any claims whatsoever, whether caused by negligence, errors,
omissions, strict liability, or contribution, or any unexpected fall in demand or economic stagnation in key sales markets. The same applies in the
event of a significant shift in current exchange rates relative to the US $ or EURO.€, such like Swiss Fr, British £, Japanese ¥, Brazilian R$,
Chinese RMB.¥, Indian ₹, Czech Kč and other foreign important trade valutas. If any of these or other risks occur, or if the assumptions
underlying any of these statements prove incorrect, the actual forecasts made within the consultancy service significantly differ from those
expressed or implied by such statements.
The advisor does not update forward-looking statements retrospectively. Such statements are valid on the date of documentation and can be
superseded. The written material and verbal material is provided for the sole benefit of the client and, unless otherwise approved in a written
statement by the advisor, are non-transferable, non-assignable, and are for clients” internal use only”.
This information does not constitute an offer to exchange or sell or an offer to exchange or buy any securities!
Thank you for your Attention!
Zivko Andelkovski
Independent Advisor
info.AAA@gmx.ch

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White paper expert economy-2018 july-aaa

  • 1.
  • 3. Sharing expertise isn’t easy. Most of us think we’re smarter than we are, and many of us like to pretend we’re smarter than everyone else. Some of us would rather be lost than ask directions. Even when we think we’re working together in big groups or institutions – in businesses, social movements, social media, or governments – we too often mistake the crowd for wisdom… That idea is the premise and promise of what might best be called the expert economy. As the volume of information expands and the time windows to make decisions shrinks, the value of the expertise, experience, and wisdom it takes to make sense of all that information multiplies just as quickly. No matter how rapid the spread of artificial intelligence, our economy and society will be stronger if people have the opportunity to put their own intelligence to good use. We have much to teach each other and much to learn from one another. What’s more: for many, sharing expertise could be the next great gig. Nearly a decade after it first emerged in the wake of the global financial crisis, the gig economy has ushered in more than its share of joys and sorrows. According to an analysis by Intuit and Emergent Research, 5.8 million Americans will work with on-demand platforms this year.1 Somewhere on Earth, an Uber soon will be arriving to take a customer on the company’s 10-billionth ride. Business Model Analysis The expert economy can’t match the rest of the gig economy in headlines or valuations, but its ranks are rising. Analysts predict that this year the expert economy will become a billion-dollar business. You may never have heard of any of these networks. Yet together, these firms work with some 1.5 million experts. That’s about the size of the active U.S. driver pool of Uber and Lyft combined. Experts don’t work as often as drivers. Still, GLG alone has almost as many experts (600,000) as Lyft (700,000) or Uber (750,000) has active U.S. drivers.
  • 4. Business Model Analysis In 1998, Mark Gerson and Thomas Lehrman, two young New York-based entrepreneurs, founded Gerson Lehrman Group, originally envisioning it as a publishing house to produce industry guidebooks for investors. GLG analysts would talk to a range of experts working in a particular field, then summarize their findings. They quickly found that investors seemed less interested in reading GLG’s analysis than in talking with the experts themselves. That gave Gerson, Lehrman, and Alexander Saint-Amand, who joined them shortly after the firm’s founding, an idea. Rather than producing lengthy reports, why not connect investors directly with experts who can help them learn exactly what they need to know? They set out to build the first comprehensive expert network. Saint-Amand, who became CEO of the firm in 2006, emerged as one of the industry’s chief evangelists. Two major shifts in federal regulation of investment banks created an opening for such networks to thrive. In 2000, the Security and Exchange Commission (SEC) adopted new rules declaring that companies could no longer selectively disclose information to certain individuals before it was made available to the general public, creating a greater demand for research in investment banking. And in 2003, U.S. regulators and 10 of the world’s largest banks reached a global settlement to reduce conflicts of interest by forcing financial institutions to separate their investment banking and research departments.5 These changes meant institutional demand for research was greater than ever while in-house capacity to gather knowledge was shrinking. At the same time, technological advances enabled firms like GLG to meet that demand. Google and LinkedIn made it easier to identify potential experts; email made it cheaper to recruit talent; on-line contracts and payment systems made it faster and cheaper to retain and reimburse that talent A whole new industry of companies emerged. Guidepoint, a New York City firm founded in 2003, became GLG’s largest competitor. London’s ascendance as a financial capital fueled the rapid growth of two other expert networks, AlphaSights and Third Bridge. By 2008, GLG had nearly 200,000 experts in its network, $284 million in annual revenues, and a $1 billion valuation.6 By 2010, there were nearly 50 expert networks worldwide.7 Beginning in 2008, the global financial crisis led a number of hedge funds to close, costing expert networks a number of major clients. Around the same time, a broad federal crackdown on insider trading, which eventually led to dozens of convictions by the Department of Justice across the financial and banking sectors, also impacted the industry. The expert network firm Primary Global Research (PGR) shut its doors in 2011 after 10 employees, executives, and consultants were found guilty of felony charges related to insider trading. One PGR expert employed by the tech firm NVIDIA was convicted of passing inside information from her company and another chipmaker to investors at two different hedge funds. The crackdown even touched firms that had forbidden experts from discussing sensitive information. Sidney Gilman, a pharmaceutical expert GLG had warned not to discuss an Alzheimer’s drug under development, conspired to give SAC Capital employee Mathew Martoma a tip that earned his firm $275 million.8 GLG never faced any suspicion of wrongdoing, and GLG’s compliance rules were cited during the trial as evidence that both Gilman and Martoma knew what they were doing was wrong. When the dust finally settled from the financial crisis and insider trading crackdown, the number of expert networks had shrunk by more than half.10
  • 7. Social Media – Facebook Followers
  • 8. Social Media – Twitter Followers
  • 11. Outlook The dramatic growth of expert networks has made the matching process easier and more powerful. According to GLG Chief Technology Officer Will Ballard, “A CV is the most effective source for identifying a potential match. You tell us where you’ve worked and give us a bio. That’s where we start.” Research staff uses the company’s proprietary database to make most matches. But with each match, the company learns something, too. GLG now uses artificial intelligence to make 15 percent of matches. “We look like a service company on the outside,” Ballard says, “but we’re definitely a technology company.” Matches have to happen quickly. AlphaSights claims that over 90 percent of all interactions occur within 72 hours of their clients’ initial briefing.35 Once they find the right match, professional learning firms use a variety of ways to put experts in touch with clients. Some host roundtables for multiple thought leaders and clients. Others offer businesses surveys of hundreds of experts at a time. Most connections take place by phone. These conference calls show the massive scale of the expertise-connecting enterprise. GLG alone arranges 350,000 expert-client phone calls a year. That’s about 1500 calls a day. After collecting data on millions of calls, the company found the average length to be 52 minutes. For the experts, expertise sharing is truly a gig. “In no scenario is being an expert an actual replacement for a job,” says one executive. “Unless you have been actively employed you don’t have the necessary expertise.” What makes experts so willing to jump onto blind 52-minute phone calls with people they don’t know? To be sure, the money is good. On an hourly basis, some experts command close to what a law firm or expert witness might charge – up to $1,000 an hour for a few, the low three figures for most everyone else.36 It’s called the high-end gig economy for a reason. For most experts, however, demand is episodic – something interesting to do now and again. What the Expert Economy Means for Traditional Consulting: The emergence of the PwC Talent Exchange suggests that while the expert economy spun out of the investment research sector, it looks increasingly like the on-demand economy’s answer to traditional consulting. By some estimates, business consulting is a $250 billion global business.53 The Wall Street Journal recently reported that the Big Four auditing firms – Deloitte, PwC, EY, and KPMG – now generate more revenue from consulting and advising (up 44% since 2012) than from auditing (up only 3%).54 Management consulting firms are built on the same model that big law firms are struggling to sustain – charging partner prices for young associate labor, producing top-shelf product at shock-and-awe scale, often running the meter in weeks and months, not hours.
  • 13. A recent study of Millennials found that given the choice, one in four would quit their jobs over the next year to join a new organization or do something different. That proportion jumps to 44 percent if the time frame is expanded to two years, with two-thirds of Millennials hoping to have changed jobs by 2020 and just 16 percent seeing themselves with their current employer a decade from now.42 Millennials are not alone in their quest for more short-term working arrangements. More and more, people of all ages are opting for flexibility rather than traditional stability and businesses are starting to take notice. A recent study found that almost half of all business leaders believe the top socio-economic driver of changes in industry is the changing nature of work or flexible work.43 Firms frequently complain that they lack the right internal workforce to get projects done. Those businesses face a difficult decision: whether to hire more staff with the skills needed to complete this project. Bringing on full-time talent may diminish a firm’s ability to shift priorities quickly and take on diverse projects. According to the 2017 Catalant survey, 35 percent of companies with 1,000 or more employees are using on-demand knowledge workers to support key business initiatives, although firms with 5,000 or more employees are more likely to do so than smaller midsize firms. Three-quarters of the companies using on-demand knowledge workers are satisfied, but half struggle to find the right person and 45 percent find the cost is high.44 The Rise of Talent-on-Demand Professional learning firms, consulting firms, and even some major corporations are forming Talent-on-Demand divisions. Starting in 2014, recognizing an opportunity beyond one-on-one phone consultations, GLG began helping place experts on temporary assignment. The rush of top talent Outlook to technology companies has left many industrial companies with gaps. GLG has targeted the life sciences sector, among others, where talent is particularly expensive and hard to find. In a 2016 PricewaterhouseCoopers survey, more than three-quarters of pharmaceutical CEOs worried about a skills shortage.45 That same year, PricewaterhouseCoopers launched its own platform called Talent Exchange, an online marketplace for highly skilled independent talent interested in working on consulting projects for and with PwC clients. “Let us help you find your next gig,” Talent Exchange promises. A recent search of the site found 198 gigs, ranging in duration from 1 week to 143 weeks. Half involved traveling at least 60 percent of the time, to such exotic destinations as Suwanee, GA, and Omaha, NE. The talents in demand ranged from cybersecurity to portfolio management.46 On-demand talent has the ability to allow businesses to increase their capacity to take on new projects, while remaining flexible to adapt to the ever-changing future of work as new opportunities arise. In its 2017 CEO survey, “The talent challenge: Harnessing the power of human skills in the machine age,” PwC found that 77 percent of CEOs consider the availability of key skills “the biggest threat to their business.”47 That demand is a boon for the high-end gig economy. A recent MavenLink report found that 56 percent of executives currently in full-time positions say they have done contract work in the past; and 63 percent say they would leave their full-time position for contract work if the opportunity arose.48
  • 14. Outlook Financial Regulation and MiFID II Europe has begun implementing new regulation to strengthen investor protections and improve the functioning of financial markets. In January 2018, the second version of the Markets in Financial Instruments Directive, or MiFID II, took effect across member states in the European Union. While the law is long and complex (it contains nearly 7,000 pages), one section centers on research by investment firms. MiFID II will require that investment banks charge separately for research and brokerage services. Before this law went into effect, the cost of research was included in the fees that banks would charge to execute trades. “The change is expected to lead asset managers in Europe to shift spending on research from banks to other sources, perhaps to the benefit of professional learning networks”. The Beginning of Wisdom At first blush, it is hard to imagine a more unlikely disruptive force than a simple phone call. These days we text, we tweet, we e-mail, we glare at colleagues for even thinking of taking a call in our shared workspace. On conference calls we multi-task rather than listen, convinced we can learn more from Googling than from the voice we’re half-listening to on the speakerphone. So it is quite an irony that at Big Data’s Big Bang moment, when the universe of information is expanding faster than humanity can comprehend, one of the most efficient and effective ways to gain useful, actionable knowledge is to spend an hour on the phone or face to face with someone who knows and can teach us the very thing we want to learn. The expert economy is built on two simple yet radical principles: First, that each of us is an expert at something, even if we don’t think so; and second, that our expertise is worth sharing and has real value to someone else. As technological and economic disruption upend the old order, the notion of putting a premium on earned wisdom, hands-on experience, and deep knowledge is itself a disruptive idea – or perhaps a restorative and reassuring one. From medieval guilds and colonial apprenticeships to family businesses and schools of law and medicine, we have long learned how the world works from one another. If modern management consulting has become the way smart young people gain business experience, the expert economy provides a way for people who’ve mastered a business to share their experience. The most profound aspect of the expert economy is not about business or technology. It’s the recognition that the lessons of one person’s career and life are of genuine value to others. For some, it’s a living; for most, it’s a good gig. But getting paid to share life’s lessons is a bonus. The real prize is realizing that the work it took to learn those lessons still matters, and the life lived has been a worthy gig, too.
  • 15. Notes & Sources 1 Rani Molla, “The gig economy workforce will double in four years,” Recode, May 25, 2017. 2 “Freelancing in America: 2017,” Edelman Intelligence, October 17, 2017. 3 Alex Rosenblat, “The Network Uber Drivers Built,” Fast Company, January 9, 2018; Jonathan Hall, “An analysis of CEEPR’s Paper on ‘The Economics of Ride-Hailing,’” Medium, March 3, 2018. 4 Some experts may only work once or twice a year, while Uber and Lyft active driver pools are by definition more active. Just as many drivers drive for both Uber and Lyft, some experts belong to more than one network – which means a portion of the aggregate in both sectors is double- counted. Even so, the numbers in both cases are quite substantial. 5 “2003 Global Settlement,” Financial Industry Regulatory Authority, April 28, 2003. 6 Paul Smalera, “LinkedIn Deal Whacks Consulting Firm GLG in the Nose,” Business Insider, June 30, 2009. 7 “Gerson Lehrman 2.0,” Integrity Research, March 26, 2014. 8 Robert Cookson, “Information matchmaker looks beyond Wall Street,” The Financial Times, June 1, 2016. 9 Matthew Goldstein, “Martoma, SAC Capital Ex-Trader, Gets 9 Years in Prison,” New York Times, Sept. 8, 2014. 10 “Gerson Lehrman 2.0,” Integrity Research, March 26, 2014. 10 “Gerson Lehrman 2.0,” Integrity Research, March 26, 2014. 11 Julie Edde, Nishant Kumar, and Suzy Waite, Investors are Paying $1,300 an Hour for ‘Expert Chats,’” Bloomberg, Feb. 28, 2018. 12 Sanford Bragg, “Expert Network Industry Nears $1 Billion,” Integrity Research, April 12, 2018. 13 Sanford Bragg, “AlphaSights: Expert Network Industry Will Be $5+ Billion,” April 16, 2018. 14 Sanford Bragg, “Gerson Lehrman Recruits New Technology CEO from Ebay,” Integrity Research, March 27, 2018. 15 “Gone Global: Ten Years of AlphaSights,” Medium.com, March 19, 2018. 16 “Annual Report and Financial Statements for the Year Ended 31 December 2016,” AlphaSights Ltd., retrieved from beta.companieshouse.gov.uk. 17 See “The Fast Track 100: 2017,” The Sunday Times, December 3, 2017, retrieved from http://www.fasttrack.co.uk/wp-content/uploads/2017- Sunday-Times- Virgin-Fast-Track-100-National-press-release.pdf; and Martin Stabe, Andrew Rinisland, and Steve Bernard, “The FT 1000: The complete list of Europe’s Fastest Growing Companies,” The Financial Times, retrieved from https://ig.ft.com/ft-1000/. 18 Retrieved from https://www.alphasights.com/corporate. 19 Retrieved from https://www.guidepoint.com/advisors/. 20 “Consultants Call on Guidepoint,” www.guidepoint.com; “Expert Network Global Hiring Binge Includes New Corporate Focus,” Integrity Research, May 11, 2017.
  • 16. 21 “About Us,” www.thirdbridge.com. 22 Annual Report and Financial Statements for the Year Ended 31 December 2016, Third Bridge Group Ltd., retrieved from beta.companieshouse.gov.uk. 23 “Third Bridge Strengthens C-Suite With New President and Chief People Officer,” retrieved from www.prnewswire.co.uk, May 3, 2018. 24 “About Us,” retrieved from www.colemanrg.com; “Chief Financial Officer,” www.colemanrg.com, April 25, 2018. 25 “Insights,” “Hosted Events,” retrieved from www.colemanrg.com. 26 “Connecting knowledge with opportunity,” retrieved from http://cv.tomodoherty.com/about/. 27 “Our Clients,” retrieved from http://cv.tomodoherty.com/about/. 28 “Company Overview of Capvision Partners Ltd.,” Bloomberg, May 4, 2018. 29 William Alden, “Mark Cuban Invests in Start-Up to Connect Companies to M.B.A.’s,” New York Times, Sept. 12, 2013. 30 Retrieved from https://gocatalant.com/expert-marketplace/. 31 Scott Kirsner, “Uber for MBAs is a worrying sign,” Boston Globe, April 15, 2012. 32 Nadim Yacteen, “Ripe for Disruption: The Business Model of Big Consulting Is Overdue for Change,” retrieved from www.gocatalant.com, Nov. 6, 2017. 33 “Pauline Brown: Barron’s Top Independent Women Advisors,” retrieved from https://www.barrons-indywomen.com/brown.html. 34 Wayne Drash, “From button-down to stand-up,” CNN.com, Dec. 28, 2013; retrieved from http://www.crainsnewyork.com/40under40/2010/Walker. 35 Retrieved from https://www.alphasights.com/corporate. 36 Robert Cookson, “Information Matchmaker Looks Beyond Wall Street, Financial Times, June 1, 2016. 37 “Capvision: Globalization Step Just Kicks Off,” retrieved from www.prnewswire.com, July 7, 2017. 38 Retrieved from https://www.alphasights.com. 39 “Address Critical Skill Gaps with On-Demand Knowledge,” retrieved from Forrester.com, June 2017 40 “Address Critical Skill Gaps with On-Demand Knowledge,” retrieved from Forrester.com, June 2017. 41 Christopher J. Dwyer, The State of Contingent Workforce Management 2017-18: The Convergence of Talent, Technology, and the Future of Work, October 2017. 42 “The 2016 Deloitte Millennial Survey: Winning over the next generation of leaders,” retrieved from www2.deloitte.com. 43 World Economic Forum, Future of Jobs Report, retrieved from http://reports.weforum.org/future-of-jobs-2016/. 44 “Address Critical Skill Gaps with On-Demand Knowledge,” retrieved from Forrester.com, June 2017. 45 Retrieved from https://www.pwc.com/gx/en/ceo-survey/2016/landing-page/pwc-19th-annual-global-ceo-survey.pdf. 46 Andrew Karpie, “PwC Launches its Online Talent Exchange to Join the Independent Workforce Platform Economy,” Spend Matters, Feb. 20, 2016. 47 Retrieved from https://www.pwc.com/gx/en/ceo-survey/2017/pwc-ceo-20th-survey-report-2017.pdf. 48 “The White-Collar Gig Economy,” retrieved from www.mavenlink.com. Notes & Sources
  • 17. Disclaimer: All written material (documents) and verbal material (consulting calls) are based on information collected within the public domain and on assessments of Industry experts within the advisors professional network. The advisor prepared this Material utilizing reasonable care and skill in applying methods of analysis consistent with normal industry practice. All results are based on information available at the time of review. Other information, including government sources, trade associations or marketplace participants, may have provided some of the information on which the analyses or data is based on. All written material is containing forward-looking statements and information on the business development of any Industry/market place participants. These statements may be spoken or written and can be recognized by terms such as “expects”, “anticipates”, “intends”, “plans”, “believes”, “seeks”, “estimates”, “will” or words with similar meaning. These statements are based on assumptions relating to the development of the economies of individual countries, and in particular of the industry and related market participants, which the advisor has researched on. The estimates given involve a degree of risk, and the actual developments may differ from those forecasts. Consequently, changes in factors upon which the written and verbal material is based on, could affect the results. Forecasts are inherently uncertain because of events or combinations of events that cannot reasonably be foreseen including the actions of government, individuals, third parties and marketplace participants. The advisor shall not be liable for any claims whatsoever, whether caused by negligence, errors, omissions, strict liability, or contribution, or any unexpected fall in demand or economic stagnation in key sales markets. The same applies in the event of a significant shift in current exchange rates relative to the US $ or EURO.€, such like Swiss Fr, British £, Japanese ¥, Brazilian R$, Chinese RMB.¥, Indian ₹, Czech Kč and other foreign important trade valutas. If any of these or other risks occur, or if the assumptions underlying any of these statements prove incorrect, the actual forecasts made within the consultancy service significantly differ from those expressed or implied by such statements. The advisor does not update forward-looking statements retrospectively. Such statements are valid on the date of documentation and can be superseded. The written material and verbal material is provided for the sole benefit of the client and, unless otherwise approved in a written statement by the advisor, are non-transferable, non-assignable, and are for clients” internal use only”. This information does not constitute an offer to exchange or sell or an offer to exchange or buy any securities! Thank you for your Attention! Zivko Andelkovski Independent Advisor info.AAA@gmx.ch