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Friday

Adapting to AI: 5 Future Proof Skills for the AI Era

29 August 0
As Artificial Intelligence (AI) transforms the workplace and automates routine tasks, the talents most sought after by employers are evolving. While job-specific knowledge remains essential in many sectors, human-centric skills are irreplaceable in virtually every field. By developing “future-proof” skills — often called durable or soft skills — you can establish yourself as an irreplaceable professional in a competitive, tech-driven market.

Let’s explore five in-demand, future-proof skills that can help you conquer the AI era.

1. Critical thinking and problem solving


A misconception about AI is that it thinks. However, the reality is that AI predicts — synthesizing vast amounts of data to recognize patterns and identify relevant details.

This is where you come in. Your uniquely human ability to think critically, interpret abstract information, and make nuanced decisions is an essential skill AI lacks. From healthcare and education to manufacturing and business, industries rely on human workers to generate cutting-edge ideas, analyze facts, evaluate solutions, and make strategic choices.

Your brain is a muscle

Love video games, puzzles, or riddles? These activities do more than entertain — they bulk up your ability to assess information, weigh options, and find solutions. By making problem-solving fun, you’ll naturally build critical thinking abilities that lend to your personal and professional growth.

Try incorporating these into your routine:
  • Level up your thinking – Engage in video games that require planning, adaptability, and quick decision-making.
  • Play strategically – Challenge yourself with games like Wordle, Sudoku, or chess to enhance logical thinking.
  • Solve for success – Tackle brain teasers, riddles, or escape room challenges to strengthen problem-solving skills.
2. Social and emotional awareness


AI’s ability to echo your tone and adapt on the fly is one reason we tend to humanize this technology. However, AI processes social cues and pleasantries purely through data, lacking the empathy and nonverbal communication skills that help you form genuine relationships.

From leadership and teamwork to conflict resolution and customer relations, nearly every facet of career growth relies on your ability to navigate interpersonal relationships — no matter your role or industry. Making meaningful connections with others is vital to developing and maintaining a reliable, supportive professional network.

Consider how you connect

Emotional and social awareness is more of an art than a science. While some may seem to command these abilities effortlessly, others may need more practice — and there’s zero shame in that!

If you’re looking to enhance your interpersonal aptitude, try these strategies:
  • Observe: Pay attention to physical cues like facial expressions and body language. You can even practice by watching your favorite TV or movie characters!
  • Expand: Reflect on how you communicate. Is your language clear or vague? How do you express your feelings, ideas, and concerns? Additionally, try asking open-ended questions to encourage deeper conversations.
  • Activate: Focus on the speaker by maintaining eye contact when possible and avoiding interruptions. After your interactions, reflect on what you observed. Note anything you’d like to improve and apply those insights next time!
3. Adaptability and self-growth


Keeping your head above water can be daunting amid the AI innovations constantly flooding our feeds. No sooner do we acclimate to one platform or tool than it becomes obsolete, making it challenging to remain current. But while resisting these waves of change may be tempting, fighting the stream won’t stop it. So, why not go with the flow?

Adapting a flexible, growth mindset can help keep you afloat in today’s tech-driven market. As AI disrupts the traditional workplace, demonstrating a dedication to enhancing your digital dexterity will set you apart — equipping you to adapt to future developments.

Invest in flexibility

Upskilling can be anxiety-inducing, sparking fire to imposter syndrome. But you don’t have to be an AI wizard to master new technology!

Instead, focus on refining your mental flexibility by:
  • Adjusting your perspective – View setbacks as learning experiences and approach every challenge with a problem-solving attitude.
  • Staying curious – Follow industry trends, explore emerging technologies, and engage with thought leaders to keep your skills sharp.
  • Stepping outside your comfort zone – Take on new challenges, expand your responsibilities, and embrace growth opportunities.
4. Ingenuity and innovation


As AI-generated content becomes more prevalent, consumers are becoming increasingly adept at recognizing it. Despite AI’s capabilities, research shows that many audiences still prefer authentic, human-created content, valuing its originality, transparency, and emotional depth.

While AI can generate intriguing ideas and creative suggestions, human ingenuity remains unmatched in originality, storytelling, and the ability to inspire emotional resonance. Companies need imaginative innovators who can drive new product ideas, marketing strategies, and business solutions.

Cultivate your creativity

Cultivating creativity will make you a star player on any team. By thinking outside the box, you’ll stay agile and astute — positioning you as an innovative and influential employee who uses their unique perspective to impact progress.

Ingenuity looks different in everyone. However, you can sharpen your one-of-a-kind creative edge by:
  • Challenging the traditional – Engage in brainstorming sessions and welcome diverse perspectives to spark fresh ideas.
  • Experimenting with ideas – Challenge yourself to approach tasks differently, test new strategies, and embrace unconventional solutions.
  • Fueling your fire – Explore hobbies like writing, music, or visual arts to strengthen problem-solving skills.
5. Leadership and teamwork


Although AI has become central to operations across sectors, nothing predicts organizational success like the efficacy of the people in charge.

Now, more than ever, constructive and compassionate leadership is paramount. The ability to guide teams, empower colleagues, and nurture a positive work environment will be key to ongoing professional success.

Learn to lead

The best leaders aren’t born — they’re built through experience and effort.

To hone your voice and harness your power, try:
  • Communicating confidently – Polish your ability to express ideas clearly, navigate conflict, and foster candid discussions.
  • Practicing your skills – Join team projects, take on leadership roles, and practice delegating tasks effectively.
  • Pursuing professional development – Seek out leadership programs, mentorship, and professional development opportunities.
Career-ready and future-forward

As tidal waves of new technology ripple through today’s workforce, remember: don’t panic!

Instead of framing AI as a total technology takeover, consider it a trade-off. With AI as your assistant, you can reserve your battery for the big picture — automating and augmenting rote tasks so you can concentrate on the most rewarding aspects of your career.

Although AI is undoubtedly here to stay, human mastery will always remain in demand. By fine-tuning sought-after soft skills, you position yourself as a future-proof professional and a priceless asset in an ever-changing job market.
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Wednesday

12 New Jobs Artificial Intelegence (AI) Is Creating

27 August 0
Most tech leaders when asked about AI disrupting jobs seem to have a common refrain — while AI will many many jobs redundant, AI will also create new jobs. But they don’t seem to elaborate on what exactly these new jobs will be. But we’ve come up with a list of the new jobs AI will create. This list can help you look into the crystal ball, plan your career and get an insight into what the world could be like in a few years.


New jobs AI is creating

1. Prompt engineer

This is the most obvious new job that AI will create. Thus far, computers could only understand code, and people had to learn how to code – or speak the language of computers — for several years through degrees in Computer Science to be able to work with them. But LLMs have changed all that — as Andrej Karpathy says, the hottest new programming language is English. Prompt engineers can build workflows and prompts just using simple words. And if this sounds simple, it isn’t — creating perfect prompts is more of an art than a science, needing understanding of how LLMs work, and how to elicit the best results out of the them. Prompt engineers are currently being sought after to write prompts for creating images, videos, and even entire workflows. Prompt engineer is the one of the most prominent new jobs that AI is creating.

2. AI Trainer & RLHF Specialist

AI models are not born perfect; they are trained. AI Trainers are the teachers responsible for this education. They are deeply involved in curating datasets, labeling information, and refining the model’s knowledge base. A crucial subset of this field is the Reinforcement Learning from Human Feedback (RLHF) Specialist. These individuals “grade” the AI’s responses, ranking them for helpfulness, accuracy, and safety. This human feedback loop is critical for aligning AI behavior with human values and expectations, essentially teaching the AI to be more useful and less prone to generating harmful or biased content. This job didn’t exist before AI, and could end up being one of the most popular jobs created by AI.

3. AI Implementation Specialist / AI Solutions Architect

Having a powerful AI model is one thing; successfully integrating it into an organization’s complex existing workflows is another challenge entirely. The AI Implementation Specialist is the bridge between cutting-edge AI technology and practical business application. They analyze a company’s needs and design a strategy for deploying AI tools—for instance, integrating a generative AI chatbot into a customer service platform or using a predictive model to optimize a supply chain. They require a deep understanding of both business processes and the technical capabilities of AI systems.

4. AI Model Auditor

Another significant role among the new jobs AI has created is the AI model auditor. These experts review AI models for bias, accuracy, transparency, and compliance. As regulations tighten around AI, this position is becoming indispensable for companies wanting to mitigate risks.

5. Machine Learning Operations (MLOps) Engineer

An AI model isn’t a “set it and forget it” solution. Its performance can degrade over time as new data emerges, a phenomenon known as “model drift.” MLOps Engineers are the guardians of live AI systems. They build and manage the infrastructure that allows for the seamless deployment, monitoring, and continuous updating of machine learning models. They ensure that the AI tools a company relies on remain accurate, efficient, and robust long after their initial launch. The landscape of new jobs AI has created isn’t just about developing models; it’s about the crucial, ongoing work of maintaining them.

6. Synthetic Data Specialist

AI requires massive amounts of data, but privacy concerns and data scarcity present challenges. Enter the synthetic data specialist — a role focused on creating artificial datasets that train AI systems without compromising sensitive information. Companies like Scale AI have become multibillion-dollar businesses based off creating synthetic data for top AO companies like Google and OpenAI. This is one of the new jobs AI has created in response to both technical and regulatory demands.

7. AI Business Integration Consultant

Companies are investing in AI but often struggle with integration. AI business integration consultants help organizations identify opportunities, implement AI strategies, and manage change. This consulting niche is among the most lucrative new jobs AI has created.

8. Digital Twin Engineer

AI-driven simulations, or “digital twins,” are revolutionizing industries from manufacturing to healthcare. Digital twin engineers design these virtual replicas, making this one of the more technical yet highly specialized new jobs AI has created.

9. AI Workflow Designer

Another exciting addition to the roster of new jobs AI has created is the AI workflow designer. These professionals specialize in integrating AI tools into business processes to enhance productivity. For instance, an AI workflow designer might streamline a company’s supply chain by incorporating predictive analytics or automate customer support with intelligent chatbots. This role requires a deep understanding of both AI capabilities and business operations, making it a critical bridge between technology and practical application.

10. AI Factory Operator

The concept of “AI factories”—data centers dedicated to training and running AI models—has introduced new jobs, such as AI factory operators. These professionals manage the infrastructure that powers AI, ensuring systems run efficiently and securely. With companies like NVIDIA and xAI investing heavily in AI infrastructure, roles in AI factory operations are growing in demand, offering opportunities for those with expertise in data center management and AI systems.

11. AI Agent Supervisor

As AI agents—autonomous systems that perform tasks like scheduling or customer support—become more prevalent, AI agent supervisors has become one of the new jobs AI has created. These professionals monitor and fine-tune AI agents to ensure they operate effectively and align with organizational goals. For instance, an AI agent supervisor might oversee a virtual assistant handling customer inquiries, ensuring it delivers accurate responses and escalates complex issues to human staff. This role combines technical expertise with strategic oversight, making it a cornerstone of AI-driven operations.

12. AI Video Maker

AI is now able to generate realistic videos. This has led to a growing demand for talent in making AI films and advertisements. Directors like PJ Ace have created short films for Kalashi that are fully generated with AI, and have amassed millions of views. AI video makers much know the strengths and weaknesses of AI video generating models, be able to write detailed prompts to generate their clips accurately and cheaply, and then must be able to put them together as a coherent video. An AI video maker is one of the newest jobs that AI is creating.

The Broader Impact on the Workforce

The new jobs AI has created reflect a broader trend: AI isn’t just automating tasks; it’s reshaping how organizations function and compete. These roles require a hybrid of skills — technical acumen, creativity, critical thinking, and ethical judgment. They also highlight the importance of lifelong learning as professionals adapt to an AI-driven world.

Preparing for the Future of Work

For individuals and organizations alike, understanding the new jobs AI has created is key to staying relevant. Upskilling in AI-related fields, from machine learning to AI governance, is no longer optional. Educational institutions and training providers are rapidly adapting their curricula to meet this demand, ensuring that the workforce is prepared for the opportunities ahead.

Conclusion

While the narrative around AI and employment often focuses on job losses, the reality is more nuanced. The new jobs AI has created demonstrate how technology continues to drive innovation not only in products and services but in careers themselves. For businesses, staying competitive means recognizing these opportunities and investing in the talent needed to seize them. For professionals, it means staying agile, curious, and ready to embrace the next wave of AI-driven change.

If you’re looking to future-proof your career or business, paying close attention to the new jobs AI has created is a smart place to start.
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Tuesday

6 websites where you can find modern-day AI JOBS in 2025

26 August 0

 

Hey guys this is Aynorm, your Passive Income Coach and today I am really excited to discuss about this topic!

I get a lot of DM queries on My X, Linkedin and Instagram accounts about AI based jobs.

These are the 6 Websites, where you can find AI based Jobs

1. AI-Jobs Net — ai-jobs. net

The website reportedly prioritizes a user-friendly interface with a focus on clear and concise job postings.

This can save you time by allowing you to quickly identify relevant positions.

Search for AI-related job openings across various categories like Machine Learning Engineer, Data Scientist, Computer Vision Specialist, and more. They potentially offer a global reach, allowing you to find opportunities internationally.

2. Cut Short IO — cutshort.io

Cut Short IO (cutshort.io) is an AI-powered recruitment platform designed to streamline the job search process for both tech professionals and companies in India. (for specific country only)

The site leverages AI to analyze your skills and experience, matching you with relevant job openings that fit your career aspirations.

It helps companies find the perfect talent by matching them with pre-qualified candidates based on relevant skills, industry background, and past recruiter interactions.

3. AI Jobs app — aijobs.app

AI Jobs App (aijobs.app) is a leading platform dedicated to connecting talented professionals with exciting opportunities in the ever-evolving field of AI. Here’s a breakdown of what you can expect from this resource:

Explore job listings across various AI subfields, including:
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Robotics
  • Data Science (with an AI focus)
4. Turing -turing.com

Turing highlights their ability to connect companies with remote developers.

If you’re an AI professional interested in remote work, keep an eye out for job postings on their website.

5. Joblist AI — joblist.ai

Joblist AI is a platform designed specifically for AI job seekers.

It leverages the power of artificial intelligence to streamline your search and connect you with exciting opportunities in the AI landscape.
  • Targeted Search: Unlike general job boards, Joblist AI focuses exclusively on AI-related positions. This means you won’t waste time sifting through irrelevant listings.
  • AI-Powered Matching: The platform utilizes AI algorithms to analyze your skills and experience, matching you with jobs that are a perfect fit for your profile.
  • Curated Listings: Joblist AI handpicks high-quality positions from leading companies in the AI sector. This ensures you’re applying to reputable organizations with a strong track record in AI development.
6. Vasitum — vasitum.com

Although it’s an only AI jobs focused site, Vasitum might have listings for positions that require some level of AI expertise. These could include roles like:
  • Data Scientist (with an AI focus)
  • Machine Learning Engineer (supporting recruitment automation systems)
  • Software Engineer (developing features related to AI-powered candidate screening)
Hope you liked this article give your comment below.
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Monday

Cloud Computing Explained in Simple Terms (For Beginners)

25 August 0

 

Understanding Cloud Computing: Benefits, Services, and Security

What Is Cloud Computing?

Cloud computing delivers computing services—like servers, storage, databases, networking, software, and analytics—on demand over the internet. Instead of storing files locally on a hard drive, cloud-based storage allows users to save and access data from remote servers, providing flexibility and accessibility. For both individuals and businesses, cloud computing offers benefits such as cost savings, improved productivity, rapid deployment, enhanced performance, and robust security measures.


Key Takeaways
  • Cloud computing provides on-demand delivery of services like storage, servers, and software over the internet, allowing for remote data saving and access from any internet-connected device.
  • There are three main types of cloud computing services: Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS), each serving different user needs.
  • Cloud solutions can be public, private, or hybrid, offering varying levels of accessibility and control based on user requirements.
  • While cloud computing offers benefits such as cost savings and increased efficiency, it also raises security concerns, requiring robust protection measures like encryption and firewalls.
  • Major service providers like Amazon Web Services and Microsoft Azure facilitate cloud computing, with options ranging from fully public services with flexible pricing to private clouds with in-house data retention.
How Cloud Computing Manages and Stores Data

Cloud computing means data is stored remotely in the cloud or a virtual space. Companies that provide cloud services enable users to keep files and applications on remote servers and access all data via the Internet. An individual's or company's data, work, and applications are available from any device that connects to the Internet.

Cloud computing can be both public and private. Public cloud services are available to anyone for a fee over the Internet, while private cloud services are limited to specific users. These services are a system of networks that supply hosted services. There is also a hybrid option, which combines public and private services.

Exploring Different Types of Cloud Services
  • Email
  • Storage, backup, and data retrieval
  • Creating and testing apps
  • Data Analytics
  • Audio and video streaming
  • Delivering software on demand
Understanding Cloud Computing Platforms: SaaS, IaaS, PaaS

Cloud computing is a system primarily comprised of three services: software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS).

  1. Software-as-a-service (SaaS) involves the licensure of a software application to customers. Licenses are typically provided through a pay-as-you-go model or on-demand. This type of system can be found in Microsoft Office 365.
  2. Infrastructure-as-a-service (IaaS) delivers everything from operating systems to servers and storage through IP-based connectivity as part of an on-demand service. Clients do not need to purchase software or servers and instead procure these resources in an outsourced, on-demand service. Popular examples of the IaaS system include IBM Cloud and Microsoft Azure.
  3. Platform-as-a-service (PaaS) is considered the most complex of the three layers of cloud-based computing. PaaS shares some similarities with SaaS, but instead of delivering software online, it is a platform for creating software delivered via the Internet. This model includes platforms like Salesforce.com and Heroku.

Weighing the Pros and Cons of Cloud Computing

Thanks to cloud computing, users can check their email on any computer and store files using services such as Dropbox and Google Drive.

Cloud computing lets users back up their music, files, and photos. Companies were once required to purchase, construct, and maintain costly information management technology and infrastructure. Companies can swap costly server centers and IT departments for fast Internet connections, where employees interact with the cloud online to complete their tasks.

The cloud structure saves storage space on desktops or laptops. It also lets users upgrade software via the web rather than through more traditional, tangible methods involving discs or flash drives. However, security is a concern, especially for medical records and financial information.

While regulations force cloud computing services to shore up their security and compliance measures, it remains an ongoing issue. Encryption is commonly used to protect vital information. Cloud servers can be affected by natural disasters, bugs, and power outages. As with any technology, with many individuals accessing and manipulating information through a single portal, mistakes can transfer across an entire system.

Leading Cloud Service Providers: AWS, Azure, and Alibaba Cloud
  • Google Cloud
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • IBM Cloud
  • Alibaba Cloud
  • Dell Cloud
  • Oracle Cloud
Amazon Web Services is 100% public and includes a pay-as-you-go, outsourced model.
Once on the platform users can sign up for apps and additional services. Microsoft Azure allows clients to keep some data at their sites. Meanwhile, Alibaba Cloud is a subsidiary of the Alibaba Group.

What Is an Example of Cloud Computing?

Businesses and individuals use cloud applications like streaming platforms, where media files are stored remotely, and data storage services like Google Drive, Dropbox, OneDrive, or Box.

Is Cloud Computing Safe?

Cloud security refers to efforts to protect digital assets and data stored on cloud-based services. Measures to protect this data include two-factor authorization (2FA), the use of VPNs, security tokens, data encryption, and firewall services, among others.

What Is Cloud Hacking?

Cloud hacking is when a cyber attack targets cloud-based service platforms, such as computing services, storage services, or hosted applications.

The Bottom Line

People and businesses use cloud-based storage instead of local hard drives. Cloud computing is comprised of three services: (SaaS), (IaaS), and (PaaS). Providers allow users to store email, backups, data, audio, and video.


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Saturday

The Future of AI: How Artificial Intelligence Will Change Jobs in 2025 - 2030 and Beyond

23 August 0
You would have been living under a rock if you did not know how artificial intelligence is set to affect jobs in 2025-2030. AI like ChatGPT seems to be stealing all of the headlines at the moment, Google unveiled new AI software to build presentations, analyze and enter data, and write content, and there are so many more AI tools like Gamma and Numerous AI. Those that are resisting, rather than riding the crest of the wave will not be making hey whilst the sun shines when it comes to landing in-demand jobs in the next 6 years and enjoying job growth. AI will be taking some jobs, but it will be creating new ones! Here are the most likely jobs that artificial intelligence will affect from 2025-2030:


How artificial intelligence will change the world

Will AI help the world or hurt it?

Like any controversial subject, there will always be people who are for it, and those that are against it. Artificial Intelligence is no different. In fact, as new ai tools are introduced, and the news around them grows, so the division between the two camps will grow with it.

Many market research analysts say that AI has the potential to bring about numerous positive changes in society, including enhanced productivity, improved healthcare, and increased access to education. But we need to adapt right now.

Others will say, mostly those working in human work types of jobs that are manually repetitive, that ai and robotics is a disruptive force and when it comes to the future of jobs it merely serves to steal jobs.

But robots and ai technologies can and will create a great many new vocations and help solve complex problems and make our daily lives easier and more convenient.

The jury is not yet out on this, but the leaning is more toward ai being a positive force rather than a negative one.

How will AI affect jobs and the economy?

McKinsey global institute says that at the global average level of adoption and absorption and advances in ai implied by their simulation, AI has the profound impact to deliver additional global economic activity of around $13 trillion in the foreseeable future and by 2030, or about 16% higher cumulative GDP compared with today.

This amounts to 1.2% additional GDP growth per year. If delivered, this impact would compare well with that of other general-purpose technologies through history. This will mainly come from substitution of labor by automation and increased innovation in products and services.

The same report went on to say that By 2030, the average simulation shows that some 70% of companies will have embraced the ai revolution and adopted at least one type of AI technology but that less than half will have fully absorbed the five categories.

Forbes say ai has the potential to be among the most disruptive technologies across global economies that we will ever develop.

How will artificial intelligence affect society and future?

Forbes says that the future of AI brings endless possibilities and applications that will help simplify our lives to a great extent. It will help shape the future and destiny of humanity positively, whilst Bernard Marr & Co says that the transformative impact of artificial intelligence on our society will have far-reaching economic, legal, political and regulatory implications on all types of jobs and industries that we need to be discussing and preparing for.

Others in the know say that AI has the potential to bring about numerous positive changes in society both now and in the future, including enhanced productivity, improved healthcare, and increased access to education.

AI-powered technologies can also help solve complex problems and make our daily lives easier and more convenient.


How Will AI Affect Jobs - How many jobs will AI replace by 2030

Artificial intelligence (AI) could replace the equivalent of 300 million full-time jobs, a report by investment bank Goldman Sachs says. It could replace a quarter of work tasks in the US and Europe but may also mean new jobs and a productivity boom.

And it could eventually increase the total annual value of goods and services produced globally by 7%. The report also predicts two-thirds of jobs in the U.S. and Europe “are exposed to some degree of AI automation,” and around a quarter of all jobs could be performed by AI entirely.

Researchers from the University of Pennsylvania and OpenAI found some educated white-collar workers earning up to $80,000 a year are the most likely to be affected by workforce automation.

Forbes also says that According to an MIT and Boston University report, AI will replace as many as two million manufacturing workers by 2025.

A study by the McKinsey Global Institute reports that by 2030, at least 14% of employees globally could need to change their careers due to digitization, robotics, and AI advancements

What jobs are most likely to be automated?

1. Customer service representative

Most human customer service interactions are no longer done by phone with human employees manning the lines. Most of the time, the queries and problems of customers are repetitive.

Answering these queries does not require high emotional or social intelligence. Therefore, AI can be used to provide automated responses to frequently asked questions.

2. Receptionists

The majority of companies across the world are now using robots at their reception. Even the calls are being managed by AI now. For example, AimeReception can see, listen, understand, and talk with guests and customers.

3. Accountants/Bookkeepers

Many companies are now using automation and ai for their bookkeeping practices. AI-powered bookkeeping services provide an efficient accounting system and flexibility and security, considering that they are available as cloud-based services.

Using ai algorithms, AI will ensure the data is collected, stored, and analyzed correctly. Using an AI accounting service is significantly less costly than paying an employee’s salary to do the same job.

4. Salespeople

Gone are the days when corporations required salespeople for advertising and retail activities. Advertising has shifted towards web and social media landscapes. The built-in target marketing capabilities in social media allow advertisers to create custom content for different types of audiences.

5. Research and analysis

The fields of data analysis and research are areas that already implement the use of artificial intelligence as a method of streamlining the process and identifying new data without human assistance.

The processing power of modern computers allows for the efficient sorting, extrapolation and analysis of data. As artificial intelligence continues to improve, there may not be a need for humans to play a role in data analysis and research.

6. Warehouse work

Online sales is a steadily growing industry and comes with an increasing need for processes and automated systems that efficiently get orders onto trucks for delivery.One area of focus for streamlining the process has been the use of automation.

Basic automation and artificial implementation in a warehouse allow for easy access to computerized systems to locate packages and direct staff, and future AI may even perform mechanized retrieval and loading to increase shipping capacities.

7. Insurance underwriting

When making assessments on the viability of insurance applicants, the most important work is often in analyzing the data available and applying it within a set of formulas or structures.

Automation can easily complete these tasks and is continually adapting to perform more complicated duties, which may reduce how many underwriters a company requires.

8. Retail

Self-checkout stations at stores are an example of automation in the retail sphere and have gained prominence in grocery stores and big-box outlets. When a company makes use of self-checkout areas, it results from a cost-benefit analysis.

Although allowing customers to scan their own items can increase the instances of theft, the company saves more money by reducing the need for employees working registers.
How to quickly change career

Experts say that ai and machine learning will help workers by creating more occupations than it replaces. That said, in order to ride the wave and build a new career, you have to have procured the skills necessary to get the job done.

If you're exposed to ai and looking to pivot into an AI-focused role, demonstrating your knowledge and experience with AI development can give you an edge.

Why not take a read of our top 10 highest paying AI jobs article here. To acquire the skills to stand out from other would be candidates you should: ramp up your technical skills, complete online courses, understand the industry, gain work experience, and develop your soft skills.

AI will require extensive research and collaboration as it is still an emerging area. Soft skills will help set you apart from other developers who only have technical skills.


Which jobs will not be replaced by ai?

It is widely touted that ai will create more jobs than it replaces. Further to that, many in certain industries will breath a sigh of relief that ai will not threaten their vocation and livelihood.

These are some of the jobs that will not involve repetitive tasks and be prone to disruption. This means that ai will not replace those that perform them in the open labor market.

1. Teachers

Teachers often represent a reference point for many of us. Often, our academic decisions are partly based on how inspiring a particular teacher has been with us in the years prior. For all these reasons, it is almost impossible that we will have a fully digital teaching experience in the Future.
 
2. Lawyers and judges

These positions have a strong component of negotiation, strategy and case analysis. A lot is based on the personal experience and knowledge of each specialist.

It requires a certain set of skills to be able to navigate complex legal systems and argue in defense of a client in court. There is a human factor involved when it comes down to consider all the various aspects of a trial and take a final decision that could turn into years in prison, in the case of a Judge.

3. Directors, Managers and CEOs

Managing teams inside an organization is a matter of Leadership and this is not a stack of behaviors that can be written down in a code and processed in a linear way.

A CEO is also the person responsible for sharing the company’s mission and value down to the team. It is very unlikely that investors will ever feel comfortable investing in a company managed by robots or algorithms.

4. HR Managers

Although ai does assist in the hiring process to make sifting through CVs so much easier and quicker, Human Resource Managers still cover a variety of very important tasks inside an organization.

Hiring new professionals is just part of their prerogatives. They also are a key position inside the organization for maintaining the staff motivated, detecting early-on signs of discontent, and manage them if possible.
 
5. Psychologists and Psychiatrists

Although a lot of face recognition technology is currently being used to develop initial AI counseling care and support, given the growing demand, mental health is a very delicate topic. Human touch is essential when it comes down to supporting people to succeed in their lives in all of the aspects that it can entail.

6. Surgeons

For sure, technology has seriously increased the accuracy with whom we are today able to diagnose and detect diseases in any medical report. Micro robotics also enhance the precision of the surgeons when it comes down to operation, enabling less invasive procedures.

But being a surgeon requires the ability to connect with the patient on so many other different levels while taking a vast number of the factor under consideration at the same time. Experience, knowledge, and skills acquired throughout the years are all factors that need to be condensed in a matter of minutes during an operation.

7. Computer System Analysts

No matter how automated we become, there will always be the need of a human presence that can run maintenance work, update, improve, correct, and set-up complex software and hardware systems that often require coordination among more than one specialist in order to properly work.

Reviewing the system capabilities, controlling the workflow and schedule improvements and increase automation is only part of a Computer System Analyst, a profession that is a great demand in the last years.

8. Artists and writers

Writing especially is such an imaginative fine art, and being able to place a specific selection of words in the right order is definitely a challenging endeavor.

So even if AI technically would have the capacity of absorbing the content of most books in the world, in probably any language and come up with a somewhat personal style of communication, the magic and thrill of creating art with words is something that is pretty much going to rest in our domain of competition in the years to come.
 
How many jobs will be lost to ai by 2025?

The World Economic Forum has estimated that artificial intelligence will replace some 85 million jobs by 2025. Freethink says that 65% of retail jobs could be automated by that year, saying that this is largely due to technological advancements, rising costs and wages, tight labor markets, and reduced consumer spending.
 
How many jobs will be lost to ai by 2030?

PwC estimates that by the mid-2030s, up to 30% of jobs could be automatable, with slightly more men being affected in the long run as autonomous vehicles and other machines replace many manual tasks where their share of employment is higher.

During the first and second waves, they estimate that women could be at greater risk of automation due to their higher representation in clerical and other administrative functions​.


How to embrace AI and learn skills to take advantage of this new technology

You may be wondering how you can start familiarizing yourself with AI in your work to help advance your career. LinkedIn says that the good news is that you probably already have experience with AI whether you know it or not.

Asking voice assistants like Alexa and Siri questions uses AI, for example. Plenty of the apps on your phone also use AI, too. Generative AI, which is taking up all the headlines lately, is really the next step for this technology.

The company went on to say that to stay ahead in the era of artificial intelligence, it is essential to develop new skills and adapt to the changing job market. Here are some strategies for staying ahead in the era of artificial intelligence:

1. Embrace lifelong learning

In the era of AI, it is important to be constantly learning and adapting to new technologies and ways of working. This means taking courses, attending workshops and conferences, and keeping up-to-date with the latest trends in your industry.

2. Develop soft skills

While AI is great at performing routine tasks, it is still far from replicating human emotional intelligence and creativity. Developing soft skills such as communication, problem-solving, and collaboration will be crucial in the era of AI.

3. Be agile

In the era of AI, the ability to adapt quickly to changing circumstances will be key. This means being willing to learn new skills, take on new responsibilities, and pivot to new career paths.

4. Specialize

As AI becomes more ubiquitous, there will be increasing demand for workers with specialized skills and knowledge. By developing expertise in a particular area, you can increase your value to employers and differentiate yourself in the job market.

Conclusion

The neigh sayers have seemingly concluded that ai will take millions of jobs and put people out into the street, whilst those that are excited for it and ready to embrace the change are saying that ai has the ability to create more new types of jobs than it replaces.

That said, it would appear that resistance is futile, and that people must accept that artificial intelligence is becoming a part of our everyday lives. Every job role should embrace it, considering the efficient and cost-effective solutions it brings.

It lets people focus on more creative goals by automating the decision-making processes and tedious tasks.Artificial intelligence offers great promise to drive businesses forward, automate manufacturing processes, and deliver valuable insights.

AI is increasingly being used across various industries, including logistics, manufacturing, and cybersecurity. Small businesses have also made rapid progress in creating speech recognition software for mobile devices.

To stay ahead in the era of artificial intelligence, it is essential to embrace lifelong learning, develop soft skills, be agile, and specialize in a particular area. By developing these skills and adapting to the changing job market, workers can thrive in the era of AI and take advantage of the opportunities it presents.
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