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There’s ongoing talk about AI’s impact on the workplace. We can’t deny the technology’s efficiency, scalability, and reliability. From data-sensitive applications in finance to IT, to even creative roles like copywriting and social media marketing – AI seems to extend its reach wherever there’s work to be done.
The discussion of AI has permeated water cooler conversations. And yes, career insecurities have stemmed from the technology’s overwhelming success.
With these advancements unfolding alongside job market challenges (job openings have reduced by 37% since early 2022 and have approached pre-pandemic levels), it’s understandable that employers and recruiters have begun to share occupational fears.
Yet, the topic of AI’s impact is a complex one.
At Ongig, we’re committed to using AI for optimized talent acquisition. So, we have spent years developing an AI-driven solution that pairs enterprises with the most skilled and culture-fitted talent. Our software engineers discovered firsthand that AI can do wonders for the workforce.
So then, how much “danger” does the workforce truly face from AI’s impact? We felt the responsibility to answer that nagging question from our perspective as AI-specialized TA allies. We’ll also review the roles most affected by AI’s impact. Plus, we’ll look at how you could (in a dramatic plot twist) attract the next big hire by using the same intelligent technology!
Behind The Workforce’s Fears of AI’s Impact
Before we list the jobs most affected by AI’s impact, let’s acknowledge the societal phobias that led to these concerns. These ideas have existed for decades if not centuries.
The truth is, there’s an intergenerational fear of robots overtaking humanity, with its precise programming and emotional detachment.
And so, fictional works like The Terminator, Frankenstein, and The Matrix have produced precautionary tales of machines turning on their masters.
To make matters worse, the lines between fiction and reality have increasingly blurred with the recent explosive developments in AI.
So, these steady breakthroughs resulted in significant progress in AI areas that include:
- Natural Language Processing (NLP) – Sophisticated AI systems can learn and express the subtleties of human languages. These deep learning features facilitate smoother communications between humans and AI software through linguistic applications like text generation and summarization.
- Speech Recognition – Also known as automatic speech recognition (ASR), the AI technology leverages machine learning and NLP, which converts speech to text and deciphers hidden user intentions. For instance, companies can apply ASR to conduct customers’ sentiment analyses (e.g., through recorded service support calls) to optimize interactions.
- Generative AI – AI large language models (LLMs) like generative pre-trained transformers (GPT) can create quality content at scale based on data inputs. For instance, Ongig’s Text Analyzer platform can generate inclusive and compelling JDs in a few short moments based on user-fed keywords.
AI efficiencies have led to the workforce worrying about having their jobs stolen by the very technology meant to assist them. Employees may also feel guilty for using AI, dreading that supervisors may fault them for cheating at work with these tools.
These negative impacts attributed to AI have even resulted in the creation of a website ominously named “Will Robots Take My Job?” All you need to do is key in a job title in the search bar and the site rates the role’s risk of AI exposure. Putting it to the test, the site turned up a 65% rating (high risk) for accountants and auditors and 29% (low risk) for lawyers.
Yet, despite the paranoia, AI use remains essential in modern organizations since it speeds up repetitive and data-intensive tasks with fewer mistakes. As with Ongig, Enterprise recruiters can rely on AI to schedule large-scale hiring campaigns with trusty algorithms that boost recruitment quality and time-to-fill.
An Overview of Roles Affected By AI’s Impact
According to Pew Research data, a fifth of the US workforce faces high exposure to AI’s impact at work.
These career paths include roles responsible for processing large amounts of information, performing deep statistical analysis, and complying with strict data-based standards.
These include cybersecurity specialists and digital communications experts. Affected roles also involve many higher-paying jobs such as market research analysts, computer support specialists, and bookkeeping clerks.
Careers in this category often require significant academic investment. These can include a college degree or a wide range of industry certifications. Workforce research reveals that employees with bachelor’s degrees or higher in education are more than twice as likely to face exposure to AI’s impact in their jobs compared to peers with lower qualifications.
Recruitment Guidelines in an AI-Centric Climate
Today, AI has taken center stage in operational efficiencies. Therefore, promoting an AI-friendly culture along with external training and development support can help accelerate hiring campaigns to foster a highly motivated workforce.
On that note, let’s look at the roles most affected by AI’s impact and advancement. We’ll also look at how you can keep JDs compelling for worried job seekers.
#1 AI’s Impact on Telemarketers
Every telemarketer call provides a precious opportunity to convert potential clients into long-term brand advocates.
AI supercharges these interactions through data that suggests the most suitable recommendations based on a customer’s profile. So, these solutions gather details like user browser histories and keywords taken from chatbot conversations that mimic the social interaction of human beings. AI technology’s data-driven algorithms can also contact users at optimal times for the best customer response and derive user intent from subtle behavioral cues.
Attracting Telemarketers in The AI Age
Although AI enables companies to streamline caller engagement, there’s no real replacement for warmth and empathy in human conversations. Your recruiting team can attract qualified telemarketers by promoting training and development opportunities. So, these opportunities help candidates acquire smart AI competencies in constantly meeting call management KPIs.
AI training and upskilling benefits for telemarketers may include competency workshops for automated lead-generation and scoring tools that apply NLP and predictive analytics.
You could boost the morale of your potential telemarketers by offering them advanced support and training in AI-informed caller solutions. These include AI-driven virtual assistant software that offers detailed caller insights for polishing sales pitches and improving customer conversions.
#2 AI’s Impact on Bookkeeping Clerks
AI is highly advantageous in the world of numbers since it computes and verifies large calculations with minute precision. It’s probably no surprise that many companies have turned to automated bookkeeping software for smoother and transparent financial processes.
Through AI implementation, accountants can process real time updates in their checkbooks and oversee each transaction to avoid costly oversights. Quality AI systems can also integrate with industry-standard programs like SAP to streamline budgets and cost allocations for streamlined bookkeeping.
Attracting Bookkeeping Clerks in The AI Age
Upskilling is the name of the game when it comes to future-proofing bookkeeping hires. These could include career development courses for bookkeepers to adapt their services to the latest data-supported and cloud-based financial platforms.
Companies may also offer cross-discipline tech training for AI software like SQL and PowerBI, for automating data entry, manipulation, and reconciliation. Supporting bookkeeping hires through their AI transformation enables hires to manage accounts with newfound cost-effectiveness.
#3 AI’s Impact on Proofreaders
AI solutions equipped with machine learning and NLP features have led to the emergence of tools like Grammarly and Hemingway which have become must-haves in proofreading toolkits. These continuous advancements could lead to more sophisticated linguistic detectors that further challenge traditional proofreader capabilities.
One of AI’s major benefits is immediately detecting syntax and grammar issues. However, smart AI solutions can also reach into big data insights that assess written content for plagiarism scores and AI likeness (which has become an ironic necessity).
Attracting Proofreaders in The AI Age
Despite the fears of editors and proofreaders being replaced en masse by AI, the reality is much further from the truth. Alan Henry, Wired editor and author shared, “AI text generation systems are still prone to simple elementary errors, inherent biases due to poorly engineered datasets, and hallucinations where the tool isn’t aware of decisions it made or processes it executed only moments before.”
Organizations can attract proofreaders by positioning AI as a career ally rather than a threat. Recruiters can achieve this in their JDs by openly entrusting hires with automated solutions like Grammarly and ChatGPT in the roles and responsibilities section.
The transparent hiring process gives proofreaders a better sense of career stability while freeing them from repetitive tasks (e.g., grammatical or spelling errors). By doing so, they can focus on high-level editing such as adjusting writer tones and intentions according to context.
#4 AI’s Impact on Market Research Analysts
AI’s scalability and 24/7 availability enable organizations to compile relevant market data more cost-effectively than manual research practices. Automated AI solutions could also readily convert the information into actionable reports without delay via predictive analytics and sentiment analysis.
Attracting Market Research Analysts in The AI Age
Continuous reskilling is critical for market researchers in the AI era, in optimizing change management. So, hiring teams and HR leaders should shortlist the in-demand skills to ensure they continue to equip researchers with the right competencies to thrive in a competitive AI-dominated market.
Once your organization has identified these skills, consider adding them strategically to your JDs. Your hiring team may also implement AI-assisted reskilling programs. These include the internal recruitment initiative by Pharmaceutical company Novartis, which predicts, matches, and offers roles and projects related to employees’ skills and goals.
#5 AI’s Impact on Technical Support Specialists
A successful technical support specialist diagnoses and troubleshoots technical issues and user problems with minimal guesswork. AI can achieve these service support standards through a reliable database that resolves issues based on data points like system performance metrics and user logs.
Rather than manually reviewing user complaints (i.e., tickets), AI support solutions can instantly troubleshoot a specific issue through keyword detection, performance monitoring, and knowledge base integration. Doing so minimizes system downtime while improving customer satisfaction.
Leading AI systems often include proactive support features that alert users to potential issues before they escalate. Therefore, users can take swift action to keep systems running optimally, resulting in better relationships with service providers.
Attracting Technical Support Specialists in The AI Age
Technical support specialists lie at the forefront of the AI revolution. It is important to convince hires that AI technology can elevate job performance. For instance, your JDs can promote an AI-friendly culture by offering career development workshops specialized in generative AI programs.
Industry experts continue to discover advantageous use cases for generative AI in technical support roles. These include multi-language support and personalized marketing campaigns based on targeted customer data.
#6 AI’s Impact on Paralegal Workers
Although the “Will Robots Take My Job?” site identifies lawyers as having low AI risk (29%), studies from Goldman Sachs suggest that legal assistants/paralegals may not enjoy the same safety net. The research revealed that sophisticated AI could perform up to 44% of the tasks of European and US assistants in the legal profession.
Specifically, AI technology like the GPT-4 LLM offers powerful automated processes that make it easier to conduct legal research and review detailed legal documents like memorandums and court filings. Paralegals have the expertise to quickly analyze large volumes of legal documents. However, they can leverage AI to accelerate the repetitive work routine.
Attracting Paralegal Workers in The AI Age
Legal hiring teams can empower paralegals in the Age of AI by shifting roles toward the human experience. Specifically, JDs for these roles can explicitly encourage AI solutions in daily operations while emphasizing frequent skills training to complement the usage of automated tools.
Potential AI courses for paralegals could include fundamental data analytics and compliance training.
#7 AI’s Impact on Program Coders
Nvidia CEO Jensen Huang caused a ripple of fear at the World Economic Summit in Dubai when he quipped, “Over the last 10-15 years, almost everybody who sits on a stage like this would tell that it is vital that your children learn computer science, everybody should learn how to program, in fact, it is almost exactly the opposite.”
Generative AI seemingly equips untrained programmers with powerful tools to create functional codes tailored to their application requirements. As such, companies can rely on the right prompt (users could even use templates for these prompts) to have AI perform the heavy lifting for their coding projects. These tech conveniences have led to widespread fears of obsoletion in the coding department.
Attracting Program Coders in The AI Age
Project specialization and AI-supported software implementations are two potential solutions for attracting coders in an AI-dominated virtual world.
Emerging AI technologies have become increasingly adept at utilizing popular programming languages. So, you could attract talented hires by recruiting (or providing training for) candidates to manage more complex or niche projects. For example, your JD could specify skills-building initiatives for software like GitHub Copilot, an AI-supported development tool.
#8 AI’s Impact on Manufacturing Roles
AI technology and advanced robotics have brought newfound manufacturing capabilities through cost-effective processes. Academic research from MIT and Boston University reported that AI will replace as many as two million manufacturing workers by 2025.
The US Department of Defense Manufacturing Technology Program continues to support these developments. This is made possible with company funding through initiatives like the Curriculum and Pathways Integrating Technology and Learning (CAPITAL).
Such government-aided programs have supported the training and development of high-demand industry competencies including supply chain data analytics and cybersecurity compliance.
These industry innovations have also resulted in fundamental changes in data collection and analytics routines, where facilities of all sizes can effectively utilize AI to optimize inventory control and management.
Through these developments, manufacturing leaders have subscribed to AI developments as an ongoing movement toward realizing smart factories, where manufacturing sectors function as a collective nervous and brain system.
Attracting Manufacturing Roles in The AI Age
Manufacturing continues to innovate and develop exponentially with AI and robotic process automation. Deloitte reports that 93% of manufacturing companies prioritize AI as a pivotal technology for driving growth and innovation. Yet, the same study reveals that 91% of AI projects fail due to inefficient implementation.
Recruiting for success in manufacturing would require HR and hiring managers to identify the most cost-effective applications of AI and seek talent with matching competencies. For instance, “predictive maintenance” and “quality control” have topped the list of AI demands in the industry. Adding these specializations to your JD could improve TA ROI in the competitive AI climate.
#9 AI’s Impact on Healthcare Technicians
Healthcare technicians like radiologists may also face significant career changes as AI technology streamlines patient data analytics.
These AI-powered diagnostic solutions pinpoint exact medical issues faster and with improved certainty for improved patient outcomes. At this rate, clinicians could increasingly rely on generative AI to personalize treatment plans. They may also use AI to identify underlying health risks. Thus, bypassing manual diagnostic services.
Attracting Healthcare Technicians in The AI Age
US regulators have consented to hundreds of AI algorithms for clinical use. However, facilities have only implemented an estimated 2% of these diagnostic solutions. Reports have attributed the slow AI uptake to technicians disagreeing with AI’s accuracy.
As such, it is important to position your hiring strategies based on current industry jobseeker sentiments. For example, your JD role overview could entice candidates with the exciting prospects of pilot AI-assisted programs while stressing the importance of the human touch through hands-on care.
#10 AI’s Impact on Supply Chain and Logistics Managers
AI’s use of data makes it highly advantageous in supply chain and logistics, where time-sensitive processes abound. Recent statistics indicate that 6% of supply chain businesses use AI for their projects, with 11% of these companies prioritizing the technology as a critical operational component.
Through AI empowerment, supply chain teams can expedite critical tasks like process optimization, inventory management, and supplier evaluation. Thus, resulting in more robust business intelligence strategies.
Supply chain and logistic AI developments could eventually extend to large-scale use of autonomous vehicles, reducing driver demands. These industry changes could see new proficiencies and roles, such as fleet managers navigating automated transports from a central control station.
These AI-driven supply chain integrations drive leaner and more flexible operations for stabler operations across market volatility and outlier events like the pandemic.
Attracting Supply Chain and Logistics Managers in The AI Age
As with other roles on our list, it is important to attract supply chain and logistics managers by rephrasing the AI narrative. List the AI-related job requirements in your JDs and their positive impact on operational performance. These requirements could include data integration, systems evaluation, statistical analytics, and other digital competencies. For added career assurance, offer upskilling and reskilling packages to futureproof these job roles.
Mitigating Jobseeker Woes With AI’s Impact
AI has become an impactful force for roles and responsibilities in various industries. The technology’s benefits apply to the talent acquisition process to help you match hires to a recommended role.
Through AI’s accuracy and consistency, enterprise HR teams can secure suitable candidates without getting inundated by massive amounts of data. Ongig’s Text Analyzer job description platform achieves this with AI algorithms that enrich JD content based on the latest recruitment trends and job seeker interests.
Our job description platform supports your candidate engagement campaigns by:
- Automating repetitive and tedious tasks across the JD vetting process
- Equipping your recruiters with user-friendly JD templates for scaling the hiring process
- Maintaining inclusive hiring standards throughout the candidate pipeline according to the best practices in DEIB
- Establishing and managing job libraries with compelling ads that attract and retain top talent
- Generating compelling SEO-friendly JDs based on the latest keywords to improve the searchability of your ads.
Through Text Analyzer, your recruiters can constantly meet hires in the middle by responding to their specific career priorities. For instance, you could launch an inclusive hiring campaign that promotes work-life balance with mental health support and personalized professional development opportunities.
The platform also enables you to save the generated JDs as templates and manually edit them according to changing trends. For example, you could implement the JD suggestions from this article to improve the confidence of your candidates and encourage application rates in the age of AI.
Text Analyzer’s intuitive design enables you to integrate the software with existing HRIS and ATS systems. Your recruiters can conveniently download Text Analyzer-enhanced JDs in various formats from a centralized cloud-based database. Or you can directly upload them to your career sites and ATS channels.
So, with Tect Analyzer, your team can optimize recruitment engagements and generate top-performing job ads. Or, you may also update existing descriptions for the ultimate candidate experience that converts.
AI’s Impact and Role in Upskilling and Training
Personalized Learning with AI Tools
AI-powered learning platforms have transformed the business world by offering employees tailored training programs. So, these platforms use vast amounts of data, like historical data from an employee’s performance, to suggest specific skills they need to improve. This approach not only boosts human performance but also provides an efficient way to address skills gaps.
Identifying Skills Gaps with AI Models
AI tools analyze training data to pinpoint areas where employees or teams may lack expertise. For instance, business leaders in the United States can leverage AI-based technologies to identify gaps in fields like information technology, customer service, or even public spaces like smart cities. Such systems help organizations stay ahead in the global AI market by upskilling their workforce.
Enormous Impact on Employee Growth
The adoption of AI in training has great potential to tackle complex tasks. So, AI development enables companies to create new tools for learning that are accessible to all, from senior citizens to entry-level employees. For example, AI-powered simulations, similar to those used in law enforcement or health care, allow employees to practice solving complex problems in a safe environment.
Competitive Advantage Through Upskilling
The increased use of AI gives businesses a competitive advantage by reducing the negative impact of outdated skills. With the responsible use of AI, employees can stay relevant in the ever-changing job market, whether they work in the banking sector, landscape architecture, or the healthcare industry. Furthermore, AI’s potential to improve human relationships at work ensures that technology complements, rather than replaces, human brains and effort.
The Future of AI in Training
As AI research progresses, future research will likely enhance the capabilities of notable AI systems for learning and development. While AI’s potential is undeniable, the effects of AI on human labor and the loss of jobs remain a major issue. Therefore, striking the right balance between innovation and the responsible use of AI will be the best way to ensure these technologies benefit the general public.
Closing Thoughts – Adapting to The AI Future
While AI can propel organizational performance, it shouldn’t substitute the thoughtful expertise required to carry out human tasks. Talented hires are still very much needed to vet the technical and ethical issues that constantly arise from complex (and often sensitive) user data. And yes, in providing an empathetic touch that connects companies with their customers and stakeholders.
Ultimately, essential business processes like recruitment could benefit significantly from AI, as a catalyst rather than a replacement for employees. Combining dynamic and creative team member expertise with AI accuracy enables the workforce to complete repetitive tasks with minimal human error and at a quicker pace.
History has proven that novel technology leads to new work opportunities rather than robs people of their livelihood. The recipe for TA success lies in building long-term careers through reskilling and upskilling, enabling people to complete tasks faster, better, and with assurance.
And what better way to future-proof career prospects in the era of rapid AI technology than with a recruiting solution that guides your team to the best job fit every time?
Why I Wrote This
Ongig’s Text Analyzer is a game-changing TA tool that removes dull and biased JDs forever through the transformative power of AI. We combine AI sophistication with human expertise in diversifying talent pools. This way, enterprises can discover quality hires fast for their most critical recruitment campaigns. Request a Text Analyzer demo to standardize and optimize your JD library through AI-driven precision.
Shout-outs:
- By Flori Needle, HubSpot – What Jobs Will AI Replace & Which Are Safe in 2024 [+ Data]
- By Jeffrey Bartash, Market Watch – Finding a job now is harder than any time since the pandemic. Bad omen for the economy?
- Deeplearning.AI – Natural Language Processing
- IBM – What is Speech Recognition?
- AWS – What is GPT?
- Will Robots Take My Job?
- By Rakesh Kochhar, Pew Research – Which U.S. Workers Are More Exposed to AI on Their Jobs?
- DataNorth
- InnovateUS
- Unleash World – Novartis on how to unleash your people’s full potential
- By Madhuri Gourav, Convin – 21 Undiscovered Use Cases of Gen AI in Customer Service
- By Ben Lutkevich, TechTarget – Will AI replace jobs? 17 job types that might be affected
- Thomson Reuters – will AI replace paralegals?
- By Sylvain Duranton, Forbes – Are Coders’ Jobs At Risk? AI’s Impact On The Future Of Programming
- By Christopher Tozzi, IT Pro Today – 5 Ways to Protect Your Programming Job Against AI
- Euronews – Will AI replace radiologists or make them more efficient?
- Deloitte Survey on AI Adoption in Manufacturing
- MxD – How Artificial Intelligence Is Reshaping the Manufacturing Workforce
- By Hoang Nguyen, YouGov – Perceptions of AI from around the manufacturing and transportation industries
- How Artificial Intelligence is Disrupting Medicine and What it Means for Physicians – By Ted A James, Harvard Medical School
- By Zac Amos, Hackernoon – Will AI Remove Humans From Supply Chain Management?
- By Yolande Maritz, Ambition – The future of accounting: how to future proof your career
