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Jobs of The Future

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Researchers predict in about 15 years many jobs/or profession will be obsolete. there will be about 200 profession we never heard of as well.

Jobs with 99% chance of being automated‚ included data capturers‚ new accounts clerks‚ cargo agents‚ watch repairers‚ insurance underwriters‚ hand-sewers‚ telemarketers and tax preparers. Umpires‚ legal secretaries and couriers also stood little chance of surviving. Undergoing training and obtaining two or three certificates is not enough to be ready for tomorrow. Learning and developing competencies has to be continuous . Education is expanding beyond academic and vocational establishments, which is manifested in the emergence of public online courses, some of them offered by leading world universities.

There are some jobs that have only a 0.35% chance or less of being automated because “many of them require a level of human interaction that may take many more years for computer programs to replicate”.

Choreographers‚ psychologists‚ human resources managers‚ anthropologists‚ archaeologists‚ sales managers and CEOs are safe. Other sustainable jobs to be in or study towards include recreational therapists‚ audiologists‚ occupational therapists‚ healthcare social workers‚ orthotists and prosthetists‚ mental health and substance abuse social workers‚ emergency management directors, and first-line supervisors of mechanics‚ installers and repairers.

JOBS OF THE FUTURE

BIOTECHNOLOGY
System biotechnologist
Living system architect
Urban ecologist
Park ecologist
Biopharmacologist
HEALTHCARE
Medical data manager
Medical equipment designer
Bioethicist
Genetic consultant
Bioinformatician
Medical Marketing Expert
R&D manager in healthcare
Molecular nutrition expert
Medical robot operator
Gene therapy expert
Robotic prosthesis and implant
designer
Tissue engineer
Medical institution life cycle
designer
Personalized healthcare expert
Healthy old age consultant
Online doctor
Inter-sector
communication
Project
management
Lean production
Programming / Robotics /
Artificial Intelligence
Client focus
Multilingual and
multicultural abilities
Interpersonal skills
Environmentally
conscious thinking
Ability to work under
uncertainty
Artistic skills
Systems thinking
AGRICULTURE
Agricultural informatics and
engineering expert
GMO farmer
City farmer
Automated farming equipment
operator
Agricultural ecologist
Agricultural economist
ENERGY GENERATION
AND STORAGE
Power generation system upgrade
manager
Micro generation system designer
Weather expert in power industry
Recuperation system designer
Local power supply system
specialist
Wearable power device designer
Energy storage device designer
POWER GRIDS
AND POWER MANAGEMENT
Power marketing expert
Electricity consumer rights expert
Energy auditor
Power consumption system
designer
System engineer for smart power
grids
Electric vehicle charging station
operator
Power grid adjuster/controller
in distributed generation
Inter-sector
communication
Project
management
Lean production
Programming / Robotics /
Artificial Intelligence
Client focus
Multilingual and
multicultural abilities
Interpersonal skills
Environmentally
conscious thinking
Ability to work under
uncertainty
Artistic skills
Systems thinking
ROAD TRANSPORT
Automated transportation system
operator
Transportation network safety
engineer
Cross-logistics operator
Intermodal hub designer
Intermodal transport technician
Smart road builder
Designer of composite structures
for vehicles
High-speed railway designer
Smart management system
architect
WATER TRANSPORT
Port ecologist
Marine infrastructure system
engineer
Arctic navigation specialist
AVIATION
Unmanned flight interface
designer
Small aircraft production engineer
Operating data analyst
Aircraft recycling technologist
Airship designer
Airship infrastructure designer
Dynamic control smart
management system designer
Inter-sector
communication
Project
management
Lean production
Programming / Robotics /
Artificial Intelligence
Client focus
Multilingual and
multicultural abilities
Interpersonal skills
Environmentally
conscious thinking
Ability to work under
uncertainty
Artistic skills
Systems thinking
SPACE
Space structure designer
Space travel manager
Life support system engineer
Space road engineer
Space biologist
Space geologist
ADVANCED MATERIALS
AND NANOECHNOLOGY
Glass engineer
Recycling technologist
System engineer of composite
materials
Nanomaterial designer
Smart environment designer
Safety engineer in nano industry
IT SECTOR
Information systems architect
Interface designer
Online lawyer
Neural interface designer
IT preacher
Digital linguist
Big Data model designer
IT auditor
Information security supervisor
Personal profile security advisor
Smart environment cyber
technician
Cyber detective
MINING AND PROCESSING OF
MINERAL RESOURCES
Mining system engineer
Environmental analyst in mining
industries
Robotic system engineer
Unmanned exploration aircraft
operator
Distributed mining team
coordinator
Telemetric data interpretation
engineer
CONSTRUCTION
Specialist in old structure
renovation/reinforcement
Zero energy house architect
Construction technology upgrade
specialist
Smart house infrastructure
Foreman watcher
3D printing designer in
construction
BIM manager designer
Accessible environment designer
Environmental analyst in
construction
ROBOTICS AND MECHANICAL
ENGINEERING
Multi-purpose robotic systems
designer
Ergonomic designer
Composite engineer
Household robot designer
Children’s robot designer
Designer of neural interfaces for
robot control
Medical robot designer

 

FINANCIAL SECTOR

Intellectual property appraiser

Personal pension plan designer

Multicurrency translator
Crowd funding and crowd
investing platform manager
Direct talent investment fund
manager
MANAGEMENT
Time broker
Time manager
Production coordinator in
distributed communities
Environment auditor
Trend watcher / foresighter
Virtual lawyer
Corporate venture fund portfolio
manager
Corporate anthropologist
Community development plan coordinator
Personal brand manager
Cross-cultural communication
manager
User community moderator
Online sales manager
Individual financial trajectory designer
SOCIAL SECTOR
Crowd sourcing expert for social
issues
Government authority
communication platform
moderator
Social conflict mediator
Environmental counselor
Personal charity platform
moderator
State-private partnership
specialist for the social sector
Social worker for disabled
persons adaptation using internet
technology
Migrant adaptation specialist
EDUCATION
Moderator
Academic path designer
Tutor
Project training organizer
Educational online platform
coordinator
Startup mentor
Ecopreacher
Game master
Game educator
Mind fitness coach
Designer of consciousness train
CHILDREN’S PRODUCTS
AND SERVICES
Transmedia product designer
Children’s R&D manager
Children’s future image expert
Children’s psychological security
specialist
MEDIA AND ENTERTAINMENT
Content aggregator editor
Info stylist
Semantic field producer
Media software designer
Media policeman
Virtual reality architect
Virtual world designer
Game practitioner
TOURISM AND HOSPITALITY
Individual tour director
Space brand manager
Augmented reality area designer
Robot attendant
Territory architect
Smart travel system designer
SECURITY
Integrated industrial security
auditor
Remote security coordinator
Ergonomic designer of wearable
security devices
Expert for mitigating systemic
environmental disasters
Personal security designer
BIOPHARMACOLOGIST
URBAN ECOLOGIST

BIOTECHNOLOGY

LIVING SYSTEMS
DESIGNER
MEDICAL DATA MANAGER
GENETIC
CONSULTANT

Levi Jeans & Automation

Eureka Lab [Photo: courtesy of Levi’s]
A team of designers took weeks to figure out exactly where to fade the indigo and position the tears for the most authentic vintage look. Then, factory workers used sandpaper and harsh chemicals to make it look properly worn in. The jeans were probably washed for hours so that the blue color would fade out–even though those dyes would inevitably end up polluting the groundwater. It could take weeks for a team of Levi designers to figure out exactly where to fade the indigo and position the tears for the most authentic vintage look.

They now have a new laser technology that will, in a snap, do what now takes much longer. The breakthrough uses infrared light to etch off a very fine layer of the indigo and cotton from a pair of jeans, creating the same kind of faded finishes and tears in 90 seconds flat.

This new tech, which Sights will automate many new aspects of the company’s denim-making process, from the design and prototyping to the manufacturing, to catering to consumer demand.

[Photo: courtesy of Levi’s]

The company employs 13,500 workers around the world—not including those that work in third-party factories. Levi’s jeans are sold at 50,000 retailers in 110 countries. This will will mean retraining hundreds of people and changing the time it takes to get products to stores. But by introducing these laser-wielding robots into Levi’s factories around the world, it has the potential to eliminate many repetitive, dangerous tasks that are an everyday part of the job for denim workers.

[Photo: courtesy of Levi’s]

[Photo: courtesy of Levi’s]

Between 80 and 100 billion never-worn garments are sent to landfills globally every year. This new technology will shift our model from ‘sell what you make’ to ‘make what you sell,’ which will absolutely improve their overall inventory health.

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AI technologies like speech analytics, deep-learning platforms and natural language generation have exploded onto the scene in the past 12 months. Soon firms will be able to automate and scale in a more efficient way because software will ultimately be able to learn and adapt rather than require programming.

Automation will transform the workforce as technology advances result in humans increasingly working side by side with software robots These robots don’t herald a gloomy future for jobs. As we showed in our report. Working Side By Side With Robots, automation will replace some jobs and create others, with a net loss of 9.8 million US jobs by 2027 — while transforming at least 25 percent of the remaining jobs.

Will Robots Take Your Job?

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Designed and developed by Dimitar Raykov and Mubashar Iqbal, uses data from the 2013 report, “The Future of Employment: How susceptible are jobs to computerisation?” as well as data from the Bureau of Labor. The researchers for that study estimated 47 percent of total US employment is at risk of automation.

You can search for your own gig (reporters and correspondents are at an 11 percent risk of automation, or hit the randomized button to see an example from their database (metal and plastic pattern makers are at 90 percent risk). Alongside the risk percentage are projected growth rates in the next seven years, the amount of people sharing that job title as of 2016, and median annual wage.

Sorry To say data reveals positions such as Bank Tellers, Postal Clerks, Office Clerks, Cashiers,Retail sales person are about 96% doomed. Librarians 65% Train Operators 86% Dispatchers except Police Fire 3ll

Click Here To Find If Robots Will Take Your Job

Map Tells Which Cities Likely To Lose Jobs To Robots

As the map shows, almost all large metropolitan areas can lose over 55% of their current jobs due to automation. The ones that fare better than others include high-tech centers like Silicon Valley and Boston.

Lower income jobs face higher automation risk, the effect on employment will be much more drastic than the effect on wages. MSAs with a high share of low paying jobs will have larger job and wage losses. The researchers emphasize that probability of automation does not equal future unemployment rates: “Technical feasibility does not imply that automation necessarily makes economic sense. And historically, automation went hand in hand with new job creation both in skilled and less skilled labor,” explains Dr. Chen. “However, the speed and the high share of automation in less skilled jobs raises many questions about whether the economy will be able to make up for the expected job losses. They expect that automation will create winners and losers among cities and regions of the U.S.,

Metropolitan Statistical Area Share of Jobs Automatable
1 Las Vegas-Henderson-Paradise, NV 65.2%
2 El Paso, TX 63.9%
3 Riverside-San Bernardino-Ontario, CA 62.6%
4 Greensboro-High Point, NC 62.5%
5 North Port-Sarasota- Bradenton, FL 62.4%
6 Bakersfield, CA 62.4%
7 Orlando-Kissimmee-Sanford, FL 61.8%
8 Fresno, CA 61.5%
9 Greenville-Anderson-Mauldin, SC 61.3%
10 Louisville/Jefferson County, KY-IN 61.3%

The White house Report On Artificial Intelligence & America’s Employees

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The White House released a new report this week entitled Artificial Intelligence, Automation, and the Economy, as part of an admirable but very flawed initiative to understand the impact of the new technology on American employees.

The White House said, “Accelerating AI capabilities will enable automation of some tasks that have long required human labor”. The report says some low wage jobs will become obsolete. Research consistently finds that the jobs that are threatened by automation are highly concentrated among lower-paid, lower-skilled, and less-educated workers. This means that automation will continue to put downward pressure on demand for this group, putting downward pressure on wages and upward pressure on inequality.  Robots are taking orders and making food; customers are growing accustomed to the lack of human interaction.

These transformations will open up new opportunities for individuals, the economy, and society, on the other hand, has the potential to disrupt the current livelihoods of millions of Americans. Whether AI leads to unemployment and increases in inequality over the long-run depends not only on the technology itself but also on the institutions and policies that are in place. 

The advent of computers and the Internet raised the relative productivity of higher skilled workers. Routine-intensive occupations that focused on predictable, easily-programmable tasks—such as switchboard operators, filing clerks, travel agents, and assembly line workers— were particularly vulnerable to replacement by new technologies. Some occupations were virtually eliminated and demand for others reduced. Research suggests that technological innovation over this period increased the productivity of those engaged in abstract thinking, creative tasks, and problem-solving and was therefore at least partially responsible for the substantial growth in jobs employing such traits. Shifting demand towards more skilled labor raised the relative pay of this group, contributing to rising inequality. AI is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of AI will be felt unevenly through the economy. Some tasks will be more easily automated than others, and some jobs will be affected more than others—both negatively and positively. Some jobs may be automated away, while for others, AI-driven automation will make many workers more productive and increase demand for certain skills. Finally, new jobs are likely to be directly created in areas such as the development and supervision of AI as well as indirectly created in a range of areas throughout the economy as higher incomes lead to expanded demand. Recent research suggests that the effects of AI on the labor market in the near term will continue the trend that computerization and communication innovations have driven in recent decades. Researchers’ estimates on the scale of threatened jobs over the next decade or two range from 9 to 47 percent.

The report suggests three broad strategies for addressing the impacts of AI-driven automation across the whole U.S. economy:

  1. Invest in and develop AI for its many benefits;
  2. Educate and train Americans for jobs of the future; and
  3. Aid workers in the transition and empower workers to ensure broadly shared growth.
 

 

More Workplace Trends: Perks & Gig Economy Will slow Down

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According to Glassdoor research sixty seven percent of U.S. employees said they were not likely to apply for a job at a company where men and women were paid unequally for the same work.

Boston Consulting Group says that by 2025, up to a quarter of jobs will be replaced by either smart software or robots, and a study from Oxford University reveals that 35% of existing U.K. jobs are at risk of automation in the next 20 years.

Tom Davenport and Julia Kirby have researched and wrote a book on this subject called Only Humans Need Apply: Winners and Losers In the Age of Smart Machines. Their bottom line is this: machines are less likely to displace entire jobs, but will more likely replace specific tasks and in the process will augment many jobs.

Jobs Will Be Impacted by Intelligent Technologies

.  Presently journalist can tap into algorithms from two firms called Narrative Science and Automated Insights, that use machine learning to write an article in a matter of seconds. The journalist then can focus on writing a more strategic view of the article. In other words, leverage the technology to do what it does best and re-frame the article to a more analytical level.

Wealth advisors are already seeing the power of Analytix Insights, a company that creates investment analytic narratives on more than 40,00 public companies.The job of a wealth advisor is already automated, the critical part of advising clients, establishing trust, and providing personalized expertise is the opportunity for wealth advisors to enhance their skill sets.

The proliferation of automated teller machines has actually led to slightly more bank tellers, due to both bank deregulation and job augmentation as bank tellers now reduce their time on cash handling responsibilities and can be trained to provide relationship based services to bank customers.

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