Wednesday, February 24, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Neural Networks

AI & The Future of Work. Will you still have a job in the… | by Raj Hayer | Aug, 2020

September 10, 2020
in Neural Networks
AI & The Future of Work. Will you still have a job in the… | by Raj Hayer | Aug, 2020
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter
“The Role Digital Plays in the HR IT Landscape “— Future of Work Media

What jobs will AI replace?

Some jobs are relatively easily replaced by AI, not because they are easy tasks, but more so because they are formulated and run by a set of rules and regulations, which can be learned from, adapted to, and used by an AI.

There is lots of speculation on which roles will be replaced, and perhaps some are far fetched, but I reviewed a few legitimate and realistic options that I found on HubSpot.

You might also like

Statistical Concepts behind A/B Testing | by Sarvagya Dasgupta | Feb, 2021

Generating Music Using LSTM Neural Network | by Linan Chen | Jan, 2021

Convolutional Neural Networks with Keras | by Krishnakumar Karancherry

  • Telemarketing — unfortunately, this role already feels like it has been taken over by robots! Surprisingly though, even with automation, the conversion rate is barely impacted.
  • Bookkeeping Clerks — cheaper equivalents such as Quickbooks or Microsoft office software does a lot of the work for you, and there are standardized bookkeeping practices for the AI to follow.
  • Compensation and Benefits Managers — automation here is being increasingly adopted as companies across the globe need to reduce costs.
  • Receptionists — there have been scheduling applications and automated message receivers for years, but the number of businesses operating online, along with the reduced in-person office operations for this year and 2021, the need for this role has dramatically decreased.
  • Couriers — it seems only a matter of time before drones and robots take over, and with automated driving, in test phases, this appears to be edging closer.
AI Jobs
  • Proofreaders — in my experience Grammarly and these types of applications can do the job with less error and more quickly than a person!
  • Computer Support Specialists — with step-by-step guides, it will be easy to program software to answer simple questions. Hmm, machines helping to fix themselves, sound familiar?
  • Market Research Analysts — technology can manage and organize more data than any human and therefore is capable of deriving insights more efficiently.

Even in my limited knowledge, this list covers only a segment of jobs that are considered replaceable, and it is evident that there is an opportunity to simplify and replace the role responsibilities with automation or machine learning beyond these.

The larger impact is however that some jobs are unlikely to even exist in the coming years because of reduced demand and the non necessity of them.

Which jobs will be gone by 2030?

Automation, AI, and self-determined processes have already begun to replace some of these roles per Career Addict.

Job Loss from AI — Forbes

We have all influenced the transition or experienced the impact of the following:

  • Travel Agents — most people book online themselves these days directly through the companies or hotel web services.
  • Cashiers — it is common to use self-service checkouts, and some new retail models no longer have any personnel in store.
  • Librarians — most content is online and while there is a great benefit to studying at the library for students, a self-check-in and check-out of the building can be automated and online books make re-filing unnecessary.
  • Bank Tellers — most services are available through the ATMs and tellers are a residual vestigial service that we have continued for the elder demographic. Most business services are not available in branch and only through a central remote office.
  • Textile Workers — machinery can replace even the most intricate work requirements these days.
  • Postal Couriers, The Print Industry, Sports Referees and Umpires…

There are roles that may well stay around, not from necessity, but as a vestigial and sentimental course of action, such as librarians or bank tellers. But eventually, anywhere there are rules and regulations for the AI to follow, job loss is likely to be experienced.

Credit: BecomingHuman By: Raj Hayer

Previous Post

Link-Building: How to Use 'Tangential Content'

Next Post

'No evidence' machine learning works well in children's social care

Related Posts

Statistical Concepts behind A/B Testing | by Sarvagya Dasgupta | Feb, 2021
Neural Networks

Statistical Concepts behind A/B Testing | by Sarvagya Dasgupta | Feb, 2021

February 24, 2021
Generating Music Using LSTM Neural Network | by Linan Chen | Jan, 2021
Neural Networks

Generating Music Using LSTM Neural Network | by Linan Chen | Jan, 2021

February 24, 2021
Convolutional Neural Networks with Keras | by Krishnakumar Karancherry
Neural Networks

Convolutional Neural Networks with Keras | by Krishnakumar Karancherry

February 24, 2021
How I meet the KNN algorithm.. During the study of Data Science, I met… | by Mari Galdina | Feb, 2021
Neural Networks

How I meet the KNN algorithm.. During the study of Data Science, I met… | by Mari Galdina | Feb, 2021

February 23, 2021
No Bias Labeled Data — the New Bottleneck in Machine Learning | by ByteBridge | Feb, 2021
Neural Networks

No Bias Labeled Data — the New Bottleneck in Machine Learning | by ByteBridge | Feb, 2021

February 23, 2021
Next Post
‘No evidence’ machine learning works well in children’s social care

'No evidence' machine learning works well in children's social care

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Red Hat closes StackRox Kubernetes security acquisition
Internet Security

Red Hat closes StackRox Kubernetes security acquisition

February 24, 2021
Critical RCE Flaws Affect VMware ESXi and vSphere Client — Patch Now
Internet Privacy

Critical RCE Flaws Affect VMware ESXi and vSphere Client — Patch Now

February 24, 2021
Machine Learning

Way of using machine learning to aid mental health diagnoses developed

February 24, 2021
COVID pandemic causes spike in cyberattacks against hospitals, medical companies
Internet Security

COVID pandemic causes spike in cyberattacks against hospitals, medical companies

February 24, 2021
How Machine Learning Discretely Assists Data Scientists
Data Science

How Machine Learning Discretely Assists Data Scientists

February 24, 2021
Xi’an Jiaotong University establishes blockchain research institute with Future FinTech
Blockchain

Xi’an Jiaotong University establishes blockchain research institute with Future FinTech

February 24, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Red Hat closes StackRox Kubernetes security acquisition February 24, 2021
  • Critical RCE Flaws Affect VMware ESXi and vSphere Client — Patch Now February 24, 2021
  • Way of using machine learning to aid mental health diagnoses developed February 24, 2021
  • COVID pandemic causes spike in cyberattacks against hospitals, medical companies February 24, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates