wrkless

[wrkless]

Something I don't think we talk enough about in discussions surrounding AI is the loss of perseverance.

I have a friend who works in education and he told me about how he was working with a small group of HS students to develop a new school sports chant. This was a very daunting task for the group, in large part because many had learning disabilities related to reading and writing, so coming up with a catchy, hard-hitting, probably rhyming, poetry-esque piece of collaborative writing felt like something outside of their skill range. But it wasn't! I knew that, he knew that, and he worked damn hard to convince the kids of that too. Even if the end result was terrible (by someone else's standards), we knew they had it in them to complete the piece and feel super proud of their creation.

Fast-forward a few days and he reports back that yes they have a chant now... but it's 99% AI. It was made by Chat-GPT. Once the kids realized they could just ask the bot to do the hard thing for them - and do it "better" than they (supposedly) ever could - that's the only route they were willing to take. It was either use Chat-GPT or don't do it at all. And I was just so devastated to hear this because Jesus Christ, struggling is important. Of course most 14-18 year olds aren't going to see the merit of that, let alone understand why that process (attempting something new and challenging) is more valuable than the end result (a "good" chant), but as adults we all have a responsibility to coach them through that messy process. Except that's become damn near impossible with an Instantly Do The Thing app in everyone's pocket. Yes, AI is fucking awful because of plagiarism and misinformation and the environmental impact, but it's also keeping people - particularly young people - from developing perseverance. It's not just important that you learn to write your own stuff because of intellectual agency, but because writing is hard and it's crucial that you learn how to persevere through doing hard things.

Write a shitty poem. Write an essay where half the textual 'evidence' doesn't track. Write an awkward as fuck email with an equally embarrassing typo. Every time you do you're not just developing that particular skill, you're also learning that you did something badly and the world didn't end. You can get through things! You can get through challenging things! Not everything in life has to be perfect but you know what? You'll only improve at the challenging stuff if you do a whole lot of it badly first. The ability to say, "I didn't think I could do that but I did it anyway. It's not great, but I did it," is SO IMPORTANT for developing confidence across the board, not just in these specific tasks.

Idk I'm just really worried about kids having to grow up in a world where (for a variety of reasons beyond just AI) they're not given the chance to struggle through new and challenging things like we used to.

[wrkless]

chatgpt is the coward's way out. if you have a paper due in 40 minutes you should be chugging six energy drinks, blasting frantic circus music so loud you shatter an eardrum, and typing the most dogshit essay mankind has ever seen with your own carpel tunnel laden hands

[wrkless]

no i don't want to use your ai assistant. no i don't want your ai search results. no i don't want your ai summary of reviews. no i don't want your ai feature in my social media search bar (???). no i don't want ai to do my work for me in adobe. no i don't want ai to write my paper. no i don't want ai to make my art. no i don't want ai to edit my pictures. no i don't want ai to learn my shopping habits. no i don't want ai to analyze my data. i don't want it i don't want it i don't want it i don't fucking want it i am going to go feral and eat my own teeth stop itttt

[wrkless]

As we stand on the brink of a technological revolution that will fundamentally alter the way we live, work, and relate to one another, the impact of artificial intelligence (AI) on the job market is a topic of intense debate and speculation. In this era of rapid change, understanding the potential shifts and preparing for the future is crucial for individuals and organizations alike. The Double-Edged Sword of AI AI's influence on the job market can be viewed as a double-edged sword. On one side, AI promises to enhance efficiency, reduce human error, and unlock new realms of innovation. Automation can take over mundane, repetitive tasks, freeing humans to focus on creative, strategic, and more meaningful work. This shift has the potential to improve quality of life and open up new career paths that we can scarcely imagine today. On the other side, the rapid advancement of AI technologies brings the fear of job displacement. Roles that are heavily reliant on routine tasks, across sectors such as manufacturing, administrative work, and even certain aspects of customer service, are at risk. The concern is not just about job loss but also about the widening skills gap. As AI evolves, the demand for digital literacy, technical skills, and adaptability increases, leaving behind those who cannot keep pace. The Sectors at the Forefront The impact of AI will not be uniform across all sectors. Industries such as healthcare, finance, and education are poised for significant transformation. In healthcare, AI can assist in diagnosis, personalized treatment plans, and managing patient data, augmenting the capabilities of medical professionals. Finance will see smarter algorithms for risk assessment, fraud detection, and customer service. Education will benefit from personalized learning experiences and AI tutors, making education more accessible and tailored to individual needs. However, these sectors will also face challenges, including ethical considerations, privacy concerns, and the need for robust regulatory frameworks to ensure that the deployment of AI technologies benefits society as a whole. Preparing for the Future The key to navigating the AI revolution in the job market lies in preparation and adaptability. For individuals, lifelong learning and skill development are paramount. Embracing a mindset of continuous learning and staying abreast of technological trends will be essential for career resilience. Skills in critical thinking, creativity, and emotional intelligence will become more valuable as these are areas where humans excel over machines. For organizations, the focus should be on leveraging AI to enhance human work rather than replace it. This involves rethinking job roles, investing in employee training, and creating a culture that encourages innovation and adaptation. Policymakers play a crucial role in ensuring a smooth transition into this new era. Implementing policies that support education and training programs, foster innovation, and protect workers' rights will be critical. Moreover, there's a need for dialogue between governments, businesses, and educational institutions to develop strategies that address the challenges and opportunities posed by AI. The Path Forward The AI revolution offers an opportunity to reimagine the future of work. While there are challenges ahead, proactive preparation and a focus on the human aspects of work can lead to a future where AI and humans coexist in synergy. By enhancing our unique human capacities and harnessing the power of AI, we can create a job market that is more dynamic, inclusive, and fulfilling for all.

[wrkless]

How is AI transforming the recruitment process in 2025?

Picture this: You're sipping your morning coffee, scrolling through job applications, and within minutes, you've identified the top 10 candidates from a pool of 500 resumes. Sounds like magic?

Welcome to 2025, where artificial intelligence has turned this fantasy into everyday reality for recruiters worldwide. The hiring landscape has shifted dramatically, and if you're still manually sorting through CVs, you might as well be using a typewriter in the smartphone era.

The Smart Screening Revolution

Gone are the days when HR teams spent countless hours reading through every single resume. Modern AI resume screening software has become the ultimate hiring assistant, analyzing candidate profiles with superhuman speed and accuracy.

These intelligent systems can evaluate skills, experience, and cultural fit within seconds, transforming what used to be a week-long process into a matter of hours.

The technology doesn't just scan for keywords anymore. Today's advanced algorithms understand context, recognize transferable skills, and even assess personality traits through language patterns.

It's like having a seasoned recruiter with photographic memory working 24/7.

Beyond the Buzzwords: Real Impact

The transformation goes deeper than just faster screening. AI is fundamentally changing how companies approach talent acquisition.

Predictive analytics now help organizations forecast which candidates are most likely to succeed in specific roles, reducing turnover rates by up to 40%.

Video interview analysis has evolved too. AI systems can now evaluate communication skills, confidence levels, and even detect potential red flags through facial expressions and speech patterns. While this might sound like science fiction, it's happening right now in major corporations across the globe.

The Bias-Busting Game Changer

One of the most significant advantages of AI in recruitment is its potential to reduce unconscious bias. Traditional hiring often falls victim to human prejudices based on names, photos, or educational backgrounds.

Smart recruitment tools focus purely on skills and qualifications, creating a more level playing field for all candidates.

However, it's worth noting that AI systems are only as unbiased as the data they're trained on.

Forward-thinking companies are actively working to ensure their algorithms promote diversity rather than perpetuate existing inequalities.

The Numbers Game: Efficiency Meets Precision

The statistics speak volumes about AI's impact on modern recruitment. Companies using intelligent hiring solutions report 50% faster time-to-hire and 60% improvement in candidate quality.

The applicant tracking system has evolved from a simple database to a sophisticated decision-making partner.

Natural language processing (NLP) has revolutionized how these systems understand resumes and job descriptions.

Instead of rigid keyword matching, modern platforms can interpret meaning, context, and even industry-specific jargon.

This advancement means better matches between candidates and positions.

The Human Touch in an AI World

Despite all this technological advancement, the human element remains irreplaceable.

AI handles the heavy lifting of initial screening and data analysis, but final hiring decisions still require human judgment, emotional intelligence, and cultural assessment.

The most successful companies in 2025 are those that have found the perfect balance between AI efficiency and human insight.

They use technology to eliminate tedious tasks while preserving the personal connection that makes great hiring decisions.

Looking Ahead: What's Next?

As we move further into 2025, expect to see even more sophisticated AI features. Real-time skills assessment, virtual reality job simulations, and AI-powered salary negotiations are already being tested by innovative companies.

Platforms like Scan2hire are leading this transformation, offering comprehensive solutions that streamline the entire recruitment process.

From initial resume parsing to final candidate ranking, these tools are setting new standards for what's possible in talent acquisition.

The future belongs to organizations that embrace these technological advances while maintaining their commitment to fair, human-centered hiring practices.

Those who adapt quickly will gain a significant competitive advantage in attracting top talent.

The Bottom Line

AI isn't just changing recruitment—it's revolutionizing it completely. Companies that leverage these tools effectively are finding better candidates faster, reducing costs, and creating more positive experiences for everyone involved in the hiring process.

The question isn't whether AI will transform recruitment, but how quickly your organization will adapt to this new reality.

The future of hiring is here, powered by Scan2hire and similar innovative solutions, and it's more exciting than ever.

[wrkless]

Why AI Is Blind to Wisdom: The Shocking Age Bias in Silicon Valley’s Algorithms

Dateline June 8th, 2025: In the epochal saga of artificial intelligence, a glaring omission has surfaced—not in a code error, but in human oversight.

AI systems, those heralds of efficiency, have systematically ignored a vital demographic: older adults. Despite U.S. citizens 50+ now accounting for over 120 million and AI adoption among them doubling in 2024, tech design remains dominated by youthful perspectives.

The result? Bias baked into diagnostics, financial tools, and job-screening algorithms that neglect aged realities.

According to AARP’s Dr Brittne Kakulla, “older adults prioritize function over flash,” a design principle too often sidelined kiplinger.com.

In healthcare, AI may misread age-specific symptoms; in hiring, it reinforces stereotypes—even when older employees outperform younger ones arxiv.org.

Meanwhile, for every Obi‑Wan mentoring Luke Skywalker, Silicon Valley’s LLMs proceed blind to decades of lived experience.

The cure is straightforward: integrate older adults in every stage—design, data, oversight. Include them in AI literacy programs, as recent surveys reveal they seek hands‑on learning opportunities.

—and respect their insights. When design teams reflect the full arc of life, technology becomes not only more ethical, but more effective.

In this unfolding chronicle of progress, neglecting one generation’s wisdom would be folly. As Benjamin Franklin once observed, “Life’s tragedy is that we get old too soon and wise too late.” Let us not program that tragedy into our machines. Instead, let AI remember: wisdom accrues with age—and it deserves its place in the code.

Original article:

[wrkless]

𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈-:

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 ?

Artificial intelligence (AI) refers to computer systems capable of performing complex tasks that historically only a human could do, such as reasoning, making decisions, or solving problems.

𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐀𝐈 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬-:

AI today exhibits a wide range of capabilities, including natural language processing (NLP), machine learning (ML), computer vision, and generative AI. These capabilities are used in various applications like virtual assistants, recommendation systems, fraud detection, autonomous vehicles, and image generation. AI is also transforming industries like healthcare, finance, transportation, and creative domains. 

𝐀𝐈 𝐀𝐩𝐩𝐬/𝐓𝐨𝐨𝐥𝐬-:

ChatGpt, Gemini, Duolingo etc are the major tools/apps of using AI.

𝐑𝐢𝐬𝐤𝐬 𝐨𝐟 𝐀𝐈-:

1. Bias and Discrimination: AI algorithms can be trained on biased data, leading to discriminatory outcomes in areas like hiring, lending, and even criminal justice. 

2. Security Vulnerabilities: AI systems can be exploited through cybersecurity attacks, potentially leading to data breaches, system disruptions, or even the misuse of AI in malicious ways. 

3. Privacy Violations: AI systems often rely on vast amounts of personal data, raising concerns about privacy and the potential for misuse of that data. 

4. Job Displacement: Automation driven by AI can lead to job losses in various sectors, potentially causing economic and social disruption. 

5. Misuse and Weaponization: AI can be used for malicious purposes, such as developing autonomous weapons systems, spreading disinformation, or manipulating public opinion. 

6. Loss of Human Control: Advanced AI systems could potentially surpass human intelligence and become uncontrollable, raising concerns about the safety and well-being of humanity. 

𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈:-

Healthcare:AI will revolutionize medical diagnostics, personalize treatment plans, and assist in complex surgical procedures. 

Workplace:AI will automate routine tasks, freeing up human workers for more strategic and creative roles. 

Transportation:Autonomous vehicles and intelligent traffic management systems will enhance mobility and safety. 

Finance:AI will reshape algorithmic trading, fraud detection, and economic forecasting. 

Education:AI will personalize learning experiences and offer intelligent tutoring systems. 

Manufacturing:AI will enable predictive maintenance, process optimization, and quality control. 

Agriculture:AI will support precision farming, crop monitoring, and yield prediction. 

[wrkless]

Redefining Work: AI's Revolution on Jobs

Introduction: The rapid advancement of Artificial Intelligence (AI) has unleashed a revolution in the workplace, fundamentally transforming the nature of jobs as we know them. In this blog, we will explore how AI is redefining work, reshaping industries, and challenging traditional employment norms.

The Rise of Automation: AI-powered automation has become a driving force behind the transformation of jobs. Tasks that were once performed by humans are now being efficiently handled by intelligent machines. From manufacturing to customer service, AI algorithms and robotics have streamlined operations, leading to increased productivity and cost savings for businesses.

Shifting Skill Demands: With the rise of AI, the demand for certain skills is evolving. Repetitive, manual tasks are being automated, making room for the emergence of new job roles that require creativity, critical thinking, and adaptability. Professionals who can effectively collaborate with AI systems are becoming increasingly sought after, as AI becomes an indispensable tool in various industries.

Augmented Intelligence: AI is not solely replacing human workers; it is augmenting their capabilities. Through AI-powered tools, workers can leverage advanced data analytics, predictive modeling, and decision-making support to enhance their productivity and performance. AI acts as a valuable partner, empowering employees to focus on complex problem-solving and strategic thinking.

Job Market Disruptions: While AI brings new opportunities, it also disrupts traditional job markets. Some job roles may become obsolete or undergo significant transformations. It calls for individuals to embrace lifelong learning, reskilling, and upskilling to remain relevant in the evolving job landscape. The ability to adapt and embrace technological advancements will be key to thriving in the AI-driven era.

Ethical Considerations: As AI's impact on jobs deepens, ethical considerations arise. Concerns about job displacement, data privacy, algorithmic bias, and the socio-economic implications of AI must be addressed. It is crucial for policymakers, organizations, and society as a whole to navigate these challenges while ensuring the responsible and ethical deployment of AI technologies.

Conclusion: AI's revolution on jobs is undeniable. It is reshaping industries, demanding new skill sets, and challenging our traditional notions of work. While AI-powered automation may displace certain job roles, it also presents abundant opportunities for individuals and organizations willing to adapt. By embracing lifelong learning, leveraging augmented intelligence, and addressing ethical considerations, we can navigate this revolution and pave the way for a future where AI and human workers coexist and thrive.

Through understanding and embracing the power of AI, we can redefine work, create new possibilities, and shape a future where technology and humanity intertwine harmoniously in the pursuit of progress and innovation.

[wrkless]

The Future of Artificial Intelligence: Expectations and Possibilities

 Artificial Intelligence (AI) is remodeling nearly every element of our lives, from how we work and speak to how we entertain ourselves and clear up complicated problems. As AI maintains to increase, it raises fundamental questions on the future, consisting of how it'll reshape industries, impact society, or even redefine what it manner to be human. This essay explores the predicted future of AI, specializing in improvements, ethical issues, and capacity demanding situations.

Future Of Artifical Intelligence In India

Advancements in AI

AI is advancing at an exceptional price, with several key areas poised for substantial breakthroughs:

1. Machine Learning and Deep Learning

Machine mastering and deep getting to know have driven a whole lot of AI’s development, allowing systems to apprehend patterns, process massive amounts of facts, and make predictions with high accuracy. Future traits in those regions are anticipated to improve AI’s ability to generalize knowledge, decreasing the need for big education statistics and enhancing overall performance across numerous tasks.

2. Natural Language Processing (NLP)

AI’s potential to understand and generate human language has seen fantastic progress through models like GPT-4 and beyond. Future iterations will probable cause extra fluent, nuanced, and context-aware interactions, making AI an even extra valuable device for communique, content material introduction, and translation.

Three. Autonomous Systems and Robotics

Autonomous automobiles, drones, and robotic assistants are becoming increasingly sophisticated. In the future, we can expect AI-powered robots to be greater adaptable and able to performing complicated duties with greater performance. From self-riding vehicles to robot surgeons, AI’s position in automation will expand across more than one sectors.

4. AI in Healthcare

AI is revolutionizing healthcare through early ailment detection, customized medicine, and robotic-assisted surgeries. In the future, AI will allow medical doctors to diagnose situations extra appropriately and offer tailored remedy plans, in the long run enhancing affected person results and extending human lifespan.

5. AI in Creativity and the Arts

AI-generated artwork, tune, and literature are already tough conventional notions of creativity. Future advancements will blur the line among human and gadget-generated creativity, main to new sorts of artistic expression and collaboration.

Ethical and Social Considerations

As AI maintains to strengthen, it brings forth essential ethical and social demanding situations that must be addressed:

1. Bias and Fairness

AI systems regularly reflect biases found in their schooling data, that may cause unfair or discriminatory outcomes. Researchers and builders are operating on ways to create extra honest and independent AI fashions, but this remains an ongoing mission.

2. Job Displacement and Workforce Evolution

Automation powered through AI is expected to replace positive jobs even as developing new ones. While some worry big task losses, others accept as true with AI will enhance human paintings in preference to replace it. Preparing the team of workers for an AI-pushed economic system would require reskilling programs and new instructional procedures.

3. Privacy and Surveillance

AI’s ability to system large amounts of private statistics increases extensive privacy worries. Striking a stability among innovation and protecting man or woman rights might be vital to make certain AI’s responsible development and deployment.

4. AI Governance and Regulation

Ensuring AI is used ethically and responsibly requires effective regulations and governance frameworks. Governments and global agencies are operating to establish suggestions to prevent AI from being misused for malicious functions, such as deepfakes or cyberattacks.

Challenges and Potential Risks

Despite AI’s ability, there are numerous demanding situations and dangers that should be taken into consideration:

1. AI Alignment Problem

Ensuring that AI systems align with human values and dreams is a good sized undertaking. Misaligned AI could lead to unintended outcomes, making it critical to design AI that prioritizes human well-being.

2. Superintelligence and Existential Risks

The opportunity of growing superintelligent AI—structures that surpass human intelligence—increases worries approximately manipulate and safety. Researchers emphasize the significance of enforcing safeguards to save you AI from acting in approaches that might be harmful to humanity.

Three. Ethical Dilemmas in AI Decision-Making

As AI takes on greater duties, it's going to face ethical dilemmas, including figuring out who gets get right of entry to to restrained medical resources or figuring out the route of movement in autonomous motors at some point of injuries. Addressing those dilemmas calls for moral AI layout and obvious decision-making processes.

Top 10 Emerging Tech Trends In 2025

[wrkless]

One way to spot patterns is to show AI models millions of labelled examples. This method requires humans to painstakingly label all this data so they can be analysed by computers. Without them, the algorithms that underpin self-driving cars or facial recognition remain blind. They cannot learn patterns.

The algorithms built in this way now augment or stand in for human judgement in areas as varied as medicine, criminal justice, social welfare and mortgage and loan decisions. Generative AI, the latest iteration of AI software, can create words, code and images. This has transformed them into creative assistants, helping teachers, financial advisers, lawyers, artists and programmers to co-create original works.

To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.

Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.

Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems.

Displaced Syrian doctors train medical software that helps diagnose prostate cancer in Britain. Out-of-work college graduates in recession-hit Venezuela categorize fashion products for e-commerce sites. Impoverished women in Kolkata’s Metiabruz, a poor Muslim neighbourhood, have labelled voice clips for Amazon’s Echo speaker. Their work couches a badly kept secret about so-called artificial intelligence systems – that the technology does not ‘learn’ independently, and it needs humans, millions of them, to power it. Data workers are the invaluable human links in the global AI supply chain.

This workforce is largely fragmented, and made up of the most precarious workers in society: disadvantaged youth, women with dependents, minorities, migrants and refugees. The stated goal of AI companies and the outsourcers they work with is to include these communities in the digital revolution, giving them stable and ethical employment despite their precarity. Yet, as I came to discover, data workers are as precarious as factory workers, their labour is largely ghost work and they remain an undervalued bedrock of the AI industry.

As this community emerges from the shadows, journalists and academics are beginning to understand how these globally dispersed workers impact our daily lives: the wildly popular content generated by AI chatbots like ChatGPT, the content we scroll through on TikTok, Instagram and YouTube, the items we browse when shopping online, the vehicles we drive, even the food we eat, it’s all sorted, labelled and categorized with the help of data workers.

Milagros Miceli, an Argentinian researcher based in Berlin, studies the ethnography of data work in the developing world. When she started out, she couldn’t find anything about the lived experience of AI labourers, nothing about who these people actually were and what their work was like. ‘As a sociologist, I felt it was a big gap,’ she says. ‘There are few who are putting a face to those people: who are they and how do they do their jobs, what do their work practices involve? And what are the labour conditions that they are subject to?’

Miceli was right – it was hard to find a company that would allow me access to its data labourers with minimal interference. Secrecy is often written into their contracts in the form of non-disclosure agreements that forbid direct contact with clients and public disclosure of clients’ names. This is usually imposed by clients rather than the outsourcing companies. For instance, Facebook-owner Meta, who is a client of Sama, asks workers to sign a non-disclosure agreement. Often, workers may not even know who their client is, what type of algorithmic system they are working on, or what their counterparts in other parts of the world are paid for the same job.

The arrangements of a company like Sama – low wages, secrecy, extraction of labour from vulnerable communities – is veered towards inequality. After all, this is ultimately affordable labour. Providing employment to minorities and slum youth may be empowering and uplifting to a point, but these workers are also comparatively inexpensive, with almost no relative bargaining power, leverage or resources to rebel.

Even the objective of data-labelling work felt extractive: it trains AI systems, which will eventually replace the very humans doing the training. But of the dozens of workers I spoke to over the course of two years, not one was aware of the implications of training their replacements, that they were being paid to hasten their own obsolescence.

— Madhumita Murgia, Code Dependent: Living in the Shadow of AI

[wrkless]

The Super Humanoids are here to take your Job

I’m not joking. They are literally here now. Working. If you work for companies that warehouse and ship products, the future is upon you. MECH is on the job. This industrial super-humanoid robot has two arms mounted on a rover. These arms allow it to navigate warehouses and industrial sites with ease. With its impressive 17.72-foot arm span, Mech can lift up to 132 pounds. It is designed to…

[wrkless]

How Many Jobs Will AI Replace by 2025?

How many jobs will AI replace by 2025? Explore the impact of artificial intelligence on employment in the USA, UK, and Europe. By 2025, artificial intelligence is expected to disrupt industries and prompt significant job losses worldwide, especially in developed countries. Many are asking, how many jobs will AI replace by 2025, as businesses continue to adopt automation technologies rapidly.…

[wrkless]

[wrkless]

AI has taken away human jobs however, AI is also creating human jobs

Febuary 16, 2025

By: Ki Lov3 Editor: Toni Gelardi 

The greatest strategy to stay ahead of the curve as AI continues to change the labor market is to embrace AI as a tool rather than a threat, adapt, and upskill. The following are essential steps to prepare your career for the future:

1. Develop AI and Tech Skills

Learn how AI works and how it impacts your industry. Take online courses in AI, machine learning, automation, and data analysis. Familiarize yourself with AI-powered tools in your profession (e.g., ChatGPT for writing, VideoGPT to video creation and AI-driven analytics for marketing).

2.Focus on Human-Centric Skills

AI is great at automation, but human traits remain irreplaceable:

Emotional intelligence (EQ): 

AI can’t replicate empathy, leadership, or deep human connections.

Critical thinking & problem-solving: 

AI provides data, but humans must interpret and apply it effectively.

Creativity & innovation: 

AI can generate content, but original ideas and strategic thinking still require human input.

3. Stay flexible and Willing to Pivot

Be open to career shifts—AI might replace some jobs but will create new ones.

Adaptability is key; embrace lifelong learning and continuous skill-building. Consider industries that integrate AI rather than resist it.

4. Learn AI-Augmented Roles

Many jobs won’t disappear but will evolve. Understanding how to work with AI instead of against it can give you an edge.

Example: A digital marketer using AI-powered analytics to optimize campaigns rather than manually crunching data.

5. Build a Unique Personal Brand

If AI is replacing generic jobs, make yourself stand out with a strong personal brand.

Develop expertise in niche areas where AI support is valuable but not dominant.

Use platforms like LinkedIn, personal blogs, or social media to showcase your knowledge.

6. Strengthen Networking and Collaboration

AI can’t replace human relationships and professional networks. Become an in-person person– with genuine emotions.

Build strong connections with industry leaders, join professional groups, and attend AI-focused workshops.

Collaborating with others can open doors to AI-proof career opportunities.

7. Explore Entrepreneurship & Side Gigs

AI creates new business opportunities—consider how you can use AI tools to start a side business or freelance work.

Examples: AI-assisted content creation, AI-driven marketing consultancy, or AI-enhanced coaching services.

8. Stay Informed on AI Trends

Keep up with AI advancements and understand their impact on your industry. Read tech blogs, listen to AI-related podcasts, and follow AI influencers. Take free online tutorials, videos and ecourse online any and everything AI, their are plenty. Stay ahead of industry shifts rather than reacting to them.

Final Thoughts

The only thing we can count on in life is change. Prepare yourself for the change so you aren't left behind.

AI isn’t just taking jobs—it’s changing them. The key to surviving (and thriving) in an AI-driven world is to be adaptable, proactive, and willing to evolve. Instead of fearing AI, embrace it as a tool to enhance your work, increase efficiency, and open up new career opportunities.

Those who learn to work alongside AI, focus on human-centric skills, and continuously upskill will not just survive the AI revolution—they’ll lead it.

#ArtificialIntelligence #FutureOfWork #AIImpact #JobMarket2025 #AIJobs #Automation #AIRevolution

#AIAutomation #JobDisruption #TechTakeover #AIvsHumans #FutureOfJobs

#AIInnovation #NewCareerPaths #FutureSkills #AIAndHumans #WorkWithAI

#Upskilling #LearnAI #AdaptOrDie #CareerGrowth #LifelongLearning

#AIInEducation #AIInHealthcare #AIInBusiness #AIInManufacturing

[wrkless]

(Source)

[wrkless]

Unpopular opinion but if you don't enjoy the process you should find a different thing to do.

And I think this is true in general but now I'm talking about it in the context of AI.

If you don't enjoy making art and only care about the end piece and how it'll look and how much traction it"lol get online then making art is not something for you, find something you enjoy from start to finish.

Same goes for writing: if you do not enjoy writing and rewriting and then some more and instead want AI to write for you, being a writer is not something you should pursue.

Sure, not every part of creative process is going to be equally enjoyable but you should get satisfaction from solving the problems along the way and you should get a sense of accomplishment on your way of "making the piece yours" and you should have a sense of ownership once you are done.

None of these things will come from typing in a prompt into chatGPT. And I am sad to see so many people are missing on the opportunity to experience the joy of making something with their own hands and brains.

Just give it a try and if you don't like it don't do it again.

But also don't let the expectations of it coming out perfect ruin the fun you are having while making the thing. Because what if I told you this: having fun while creating is the actual purpose of the creative process, not whatever comes out of it.

[wrkless]

Normalize this response