#ai job opportunities

[reallytoosublime]

Nowadays artificial intelligence is used in different job sectors. This technology is used increasingly day by day. So the future of our jobs sector can be harmful because of AI. Artificial intelligence (AI) is a wide-ranging technology that can disrupt and transform a host of industries, potentially leading to a large-scale shift in how humans think of work.

Many other types of positions may be partially or even fully replaceable by machines. Any job that performs tasks that are learnable and replicable may be in the crosshairs. You can see some industries that will continue to rely on human workers include writing jobs, social work, criminal defense law, teaching, and AI training engineers.

AI will be able to automate the process of data analysis, which could reduce the need for manual entry and processing, optimize shipping and delivery routes, automate manufacturing and assembly lines, computerize many human accounting tasks, and assist with legal research and analysis.

This new dawn of automation can be both an exciting and daunting prospect for many workers. While it certainly presents challenges to some people, we should keep in mind that AI will open up new opportunities for other sectors to expand their potential. It may also help reduce human labor spending and allow employees to embark on tasks with better prospects for them personally.

Artificial intelligence is becoming more relevant to our daily lives. While it might seem to be looming and ready to replace us, this is not necessarily true. AI will have an impact on our workforce. This is inarguable.

The Truth about AI: Will Artificial Intelligence Take Over Our Jobs?

[youtubemarketing1234]

Nowadays artificial intelligence is used in different job sectors. This technology is used increasingly day by day. So the future of our jobs sector can be harmful because of AI. Artificial intelligence (AI) is a wide-ranging technology that can disrupt and transform a host of industries, potentially leading to a large-scale shift in how humans think of work.

Many other types of positions may be partially or even fully replaceable by machines. Any job that performs tasks that are learnable and replicable may be in the crosshairs. You can see some industries that will continue to rely on human workers include writing jobs, social work, criminal defense law, teaching, and AI training engineers.

AI will be able to automate the process of data analysis, which could reduce the need for manual entry and processing, optimize shipping and delivery routes, automate manufacturing and assembly lines, computerize many human accounting tasks, and assist with legal research and analysis.

This new dawn of automation can be both an exciting and daunting prospect for many workers. While it certainly presents challenges to some people, we should keep in mind that AI will open up new opportunities for other sectors to expand their potential. It may also help reduce human labor spending and allow employees to embark on tasks with better prospects for them personally.

Artificial intelligence is becoming more relevant to our daily lives. While it might seem to be looming and ready to replace us, this is not necessarily true. AI will have an impact on our workforce. This is inarguable.

Another essential thing to comprehend is that humans created Artificial Intelligence to help with challenging tasks and problems and not to replace them in the workplace entirely. Humans and AI work best when a person defines the program’s scope to AI, allowing it to make the best decision for the outcome.

The Truth about AI: Will Artificial Intelligence Take Over Our Jobs?

[devildaisies]

i need to learn a trade. going to school for art while AI simultaneously takes off in a real and heinous way is so.

[hwl]

I didn't just see someone imply that if you are scared of the impact ai will have on artists' jobs you're not a real leftist

[cantstayawaycani]

*personal

[kirlianradio]

I’m so genuinely bewildered by this one person in some of my classes. I got to a school majorly focusing on art. Person is paying to go to what’s essentially an art school.

Two convos with this person each time brings up how art is so much work and this is why they like AI art.

My brother in Christ…

I get being unmotivated… but You are *PAYING* to go to an art school.. where they give you art work and art homework… and u don’t wanna do the work? You wanna use a tool that steals other peoples work?? You are paying to probably eventually go into a job in the art field and then actively using the thing that is going to be taking job opportunities away from you???

[slinkywhat]

Opportunity Cost & AI

[An off-the-cuff essay no one asked for but I word-vomited anyway because I am exhausted]

I literally started a Python coding course on Friday so that I can ask ChatGPT or other AI tools to write me scripts to execute basic, tedious tasks that currently take up an absurd amount of my time.

I work a highly-paid role that’s supposed to be very strategic, but I’m easily spending 40-60% of my time executing repetitive, tactical tasks across multiple, disparate systems because my company (and every company prior—it’s not unique to this place) won’t pay for productivity software, automation plug-ins for our project management software, actual project managers, or additional junior headcount, our third-party agency partners don't have access to work inside internal systems, etc. etc. etc.

People spend more than half their day doing busywork, according to survey of 10,000 plus workers | CNBC, 2022

“The amount of time office workers have to spend doing their primary job duties decreased in 2016, from 46% to 39%. When asked what gets in the way of work the most, workers say wasteful meetings (59%) and excessive emails (43%) are the biggest offenders.” U.S. State of Enterprise Work Report | Workfront, 2016-2017

If you take just my salary and calculate the opportunity cost there, it more than justifies the cost of at least one or two these tools—then multiply that by all of the other employees in the company with the same or similar barriers to actual productivity and it’s literally a no-brainer.

opportunity cost (noun) • the loss of potential gain from other alternatives when one alternative is chosen; can be implicit (intangible) or explicit (tangible, dollar amounts); often calculated as the difference between the return on investment (ROI) between the most profitable business decision and the current/chosen one.

Alas, almost every company I’ve been at or heard about from others is short-sighted when it comes to realizing opportunity cost—whether from the ROI on investments like software, ongoing training, professional development, employee satisfaction and retention, systems maintenance and technological upgrades, user experience, or bare minimum marketing strategies—because they “cost money.”

I’ve never understood this, because humans have an inherent loss-aversion cognitive bias—psychologically, we’re twice as motivated by avoiding potential loss than we are by pursuing potential gain, and we’re more likely to take risks to prevent loss. I suppose the problem is that the culture of busywork is so ingrained that it’s perceived as the baseline, where “increased” productivity is viewed as a potential gain, rather than decreased productivity as a major loss.

Hasn’t anyone ever heard of short-term pain for long-term gain?

So, please hit me up if you have ideas on how to leverage ChatGPT and other tools to do things like batch cloning Jira tickets and generating documentation from templates; managing an overflowing email inbox; logging system data into disparate, static spreadsheets instead of intelligent, connected systems; manually searching old Jira tickets to append implementation dates to that data; finding and replacing duplicative instances of copy that aren’t using global elements/a single database source for management; pulling, consolidating, and analyzing reports from multiple disconnected systems; etc.

I’m really, really tired of spending my time and energy on easily automated work that does not challenge me or contribute to my sense of pride or satisfaction in my work, but does radically waste my time and my employer’s money.

Let’s help each other automate some shit and work smarter, not harder. It’s 2023 and we have not made all of these technological advancements just to ignore them and perpetuate the arbitrary 40-hour work week.

If we can spend half the time or less to reach our goals at work, then we can actually focus on the strategic parts of our roles to move the needle and invest more time in ourselves. We have the tools to be able to spend more of our time on personal passions and pursuits, family and friends, travel, leisure, hobbies, community engagement, volunteering, political activism, exercise and health, financial planning and management, home improvement, or whatever is currently being neglected or would improve our quality of life, happiness, and in return, our contributions to our workplaces.

Automation is the future. Contrary to much of the fear-mongering around the topic of work automation, four out of five knowledge workers see it as a chance to rethink work in new and exciting ways. Sixty-nine percent believe work automation will give them back time to perform their primary job duties better. The only hesitation that exists seems to lie in how much of work will ultimately be done by machines and how much will still require the human touch.” The State of Enterprise Work, U.S. Edition | Workfront, 2017 - 2018

It’s literally a win-win—except, perhaps, for the politicians and systems of power that seek to limit our financial flexibility, ability to organize, and the security to push for change.

P.S. Call and email your representatives—repeatedly—and tell them you will donate, campaign, and vote for their opponents in the next election if they do not vote NO on The Restrict Act.

——————

More reading for the nerds:

“Digital workers won’t settle for bad tech - Nearly half of workers say they’re likely to leave their current job if they’re unhappy or frustrated with workplace tech. (49%)” The 2021 State of Work — How Covid-19 changed digital work. | Adobe Experience Cloud, 2022

“Wasteful practices and tools—namely email and meetings—continue to thwart worker productivity. As in years past, poorly used meetings and email topped the list of things that keep knowledge workers from getting work done, with U.S. workers having an average of 199 unopened emails in their inboxes at any given time. This report certainly makes the case that email has reached the limits of its effectiveness as a work management tool.” The State of Enterprise Work, U.S. Edition | Workfront, 2017 - 2018

Why Busywork Is Making Your Employees Spend Less Time Doing Their Actual Jobs | Inc., 2016

Opportunity Cost: Missing the Mark on Motivation for Two Types of Employees | Maxim Kind, LinkedIn, 2018

[quikhire]

Fresher jobs in hyderabad

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[krstseo]

The Role of K.Ramakrishnan College of Technology in paving the future of Engineering

Engineering is often described as the art of applied science. It has always been at the forefront of shaping human civilization. From the construction of ancient marvels like the pyramids to the modern wonders of skyscrapers and space exploration; engineers have continually pushed the boundaries of what is possible. Now, as we stand on the brink of a new era defined by rapid technological advancement, what does the future hold for this noble profession? At K.Ramakrishnan College of Technology (KRCT), we are committed to exploring and shaping that future of Engineering.

https://krct.ac.in/blog/2024/06/25/the-role-of-k-ramakrishnan-college-of-technology-in-paving-the-future-of-engineering/

[nghoangquang]

Will AI create more jobs or send us the way of the horses

The impact of AI on the job market is a topic of much debate, with opinions divided on whether AI will ultimately replace human jobs or create new opportunities. On one hand, AI has the potential to automate repetitive tasks, improve efficiency, and reduce the need for human intervention in certain roles. This could lead to job displacement in industries heavily reliant on manual or routine work, such as manufacturing, data entry, and customer service. However, history shows that technological advancements often create new job opportunities, even as they eliminate others.AI is expected to drive innovation and the emergence of new industries, leading to the creation of jobs that didn’t previously exist. These could range from roles in AI development and maintenance to positions in industries that leverage AI-driven insights, such as personalized medicine, advanced robotics, and smart infrastructure. Additionally, AI can augment human capabilities, allowing workers to focus on more complex, creative, and strategic tasks that require human judgment, empathy, and creativity. Ultimately, whether AI will replace or create more jobs depends on how businesses, governments, and society adapt to these changes. Investing in education, reskilling, and upskilling the workforce will be crucial in ensuring that the workforce can transition into new roles and industries shaped by AI. By embracing AI as a tool for enhancing human potential rather than a replacement, society can unlock new opportunities for economic growth and job creation.

[beeapocalypse]

grinding my teeth. unsure of how far i can push kitty b4 she goes from offputting to straight goofy

[mitsde123]

Data Science Job Market : Current Trends and Future Opportunities

The data science job market is thriving, driven by the explosive growth of data and the increasing reliance on data-driven decision-making across industries. As organizations continue to recognize the value of data, the demand for data scientists has surged, creating a wealth of opportunities for professionals in this field.

[pwrn51]

Job Scam Alerts: What You Need to Know!

  In the latest episode of Scam DamNation, Ms. Cauldwell explains how job seekers can avoid scams during the application process or when accepting a job through a fraudulent interview. According to Axios, in 2023, the Federal Trade Commission (FTC) reported approximately 105,000 ‘business and job opportunity’ scams, with victims losing an estimated $450 million. This represents a significant…

[phantomrose96]

If anyone wants to know why every tech company in the world right now is clamoring for AI like drowned rats scrabbling to board a ship, I decided to make a post to explain what's happening.

(Disclaimer to start: I'm a software engineer who's been employed full time since 2018. I am not a historian nor an overconfident Youtube essayist, so this post is my working knowledge of what I see around me and the logical bridges between pieces.)

Okay anyway. The explanation starts further back than what's going on now. I'm gonna start with the year 2000. The Dot Com Bubble just spectacularly burst. The model of "we get the users first, we learn how to profit off them later" went out in a no-money-having bang (remember this, it will be relevant later). A lot of money was lost. A lot of people ended up out of a job. A lot of startup companies went under. Investors left with a sour taste in their mouth and, in general, investment in the internet stayed pretty cooled for that decade. This was, in my opinion, very good for the internet as it was an era not suffocating under the grip of mega-corporation oligarchs and was, instead, filled with Club Penguin and I Can Haz Cheezburger websites.

Then around the 2010-2012 years, a few things happened. Interest rates got low, and then lower. Facebook got huge. The iPhone took off. And suddenly there was a huge new potential market of internet users and phone-havers, and the cheap money was available to start backing new tech startup companies trying to hop on this opportunity. Companies like Uber, Netflix, and Amazon either started in this time, or hit their ramp-up in these years by shifting focus to the internet and apps.

Now, every start-up tech company dreaming of being the next big thing has one thing in common: they need to start off by getting themselves massively in debt. Because before you can turn a profit you need to first spend money on employees and spend money on equipment and spend money on data centers and spend money on advertising and spend money on scale and and and

But also, everyone wants to be on the ship for The Next Big Thing that takes off to the moon.

So there is a mutual interest between new tech companies, and venture capitalists who are willing to invest $$$ into said new tech companies. Because if the venture capitalists can identify a prize pig and get in early, that money could come back to them 100-fold or 1,000-fold. In fact it hardly matters if they invest in 10 or 20 total bust projects along the way to find that unicorn.

But also, becoming profitable takes time. And that might mean being in debt for a long long time before that rocket ship takes off to make everyone onboard a gazzilionaire.

But luckily, for tech startup bros and venture capitalists, being in debt in the 2010's was cheap, and it only got cheaper between 2010 and 2020. If people could secure loans for ~3% or 4% annual interest, well then a $100,000 loan only really costs $3,000 of interest a year to keep afloat. And if inflation is higher than that or at least similar, you're still beating the system.

So from 2010 through early 2022, times were good for tech companies. Startups could take off with massive growth, showing massive potential for something, and venture capitalists would throw infinite money at them in the hopes of pegging just one winner who will take off. And supporting the struggling investments or the long-haulers remained pretty cheap to keep funding.

You hear constantly about "Such and such app has 10-bazillion users gained over the last 10 years and has never once been profitable", yet the thing keeps chugging along because the investors backing it aren't stressed about the immediate future, and are still banking on that "eventually" when it learns how to really monetize its users and turn that profit.

The pandemic in 2020 took a magnifying-glass-in-the-sun effect to this, as EVERYTHING was forcibly turned online which pumped a ton of money and workers into tech investment. Simultaneously, money got really REALLY cheap, bottoming out with historic lows for interest rates.

Then the tide changed with the massive inflation that struck late 2021. Because this all-gas no-brakes state of things was also contributing to off-the-rails inflation (along with your standard-fare greedflation and price gouging, given the extremely convenient excuses of pandemic hardships and supply chain issues). The federal reserve whipped out interest rate hikes to try to curb this huge inflation, which is like a fire extinguisher dousing and suffocating your really-cool, actively-on-fire party where everyone else is burning but you're in the pool. And then they did this more, and then more. And the financial climate followed suit. And suddenly money was not cheap anymore, and new loans became expensive, because loans that used to compound at 2% a year are now compounding at 7 or 8% which, in the language of compounding, is a HUGE difference. A $100,000 loan at a 2% interest rate, if not repaid a single cent in 10 years, accrues to $121,899. A $100,000 loan at an 8% interest rate, if not repaid a single cent in 10 years, more than doubles to $215,892.

Now it is scary and risky to throw money at "could eventually be profitable" tech companies. Now investors are watching companies burn through their current funding and, when the companies come back asking for more, investors are tightening their coin purses instead. The bill is coming due. The free money is drying up and companies are under compounding pressure to produce a profit for their waiting investors who are now done waiting.

You get enshittification. You get quality going down and price going up. You get "now that you're a captive audience here, we're forcing ads or we're forcing subscriptions on you." Don't get me wrong, the plan was ALWAYS to monetize the users. It's just that it's come earlier than expected, with way more feet-to-the-fire than these companies were expecting. ESPECIALLY with Wall Street as the other factor in funding (public) companies, where Wall Street exhibits roughly the same temperament as a baby screaming crying upset that it's soiled its own diaper (maybe that's too mean a comparison to babies), and now companies are being put through the wringer for anything LESS than infinite growth that Wall Street demands of them.

Internal to the tech industry, you get MASSIVE wide-spread layoffs. You get an industry that used to be easy to land multiple job offers shriveling up and leaving recent graduates in a desperately awful situation where no company is hiring and the market is flooded with laid-off workers trying to get back on their feet.

Because those coin-purse-clutching investors DO love virtue-signaling efforts from companies that say "See! We're not being frivolous with your money! We only spend on the essentials." And this is true even for MASSIVE, PROFITABLE companies, because those companies' value is based on the Rich Person Feeling Graph (their stock) rather than the literal profit money. A company making a genuine gazillion dollars a year still tears through layoffs and freezes hiring and removes the free batteries from the printer room (totally not speaking from experience, surely) because the investors LOVE when you cut costs and take away employee perks. The "beer on tap, ping pong table in the common area" era of tech is drying up. And we're still unionless.

Never mind that last part.

And then in early 2023, AI (more specifically, Chat-GPT which is OpenAI's Large Language Model creation) tears its way into the tech scene with a meteor's amount of momentum. Here's Microsoft's prize pig, which it invested heavily in and is galivanting around the pig-show with, to the desperate jealousy and rapture of every other tech company and investor wishing it had that pig. And for the first time since the interest rate hikes, investors have dollar signs in their eyes, both venture capital and Wall Street alike. They're willing to restart the hose of money (even with the new risk) because this feels big enough for them to take the risk.

Now all these companies, who were in varying stages of sweating as their bill came due, or wringing their hands as their stock prices tanked, see a single glorious gold-plated rocket up out of here, the likes of which haven't been seen since the free money days. It's their ticket to buy time, and buy investors, and say "see THIS is what will wring money forth, finally, we promise, just let us show you."

To be clear, AI is NOT profitable yet. It's a money-sink. Perhaps a money-black-hole. But everyone in the space is so wowed by it that there is a wide-spread and powerful conviction that it will become profitable and earn its keep. (Let's be real, half of that profit "potential" is the promise of automating away jobs of pesky employees who peskily cost money.) It's a tech-space industrial revolution that will automate away skilled jobs, and getting in on the ground floor is the absolute best thing you can do to get your pie slice's worth.

It's the thing that will win investors back. It's the thing that will get the investment money coming in again (or, get it second-hand if the company can be the PROVIDER of something needed for AI, which other companies with venture-back will pay handsomely for). It's the thing companies are terrified of missing out on, lest it leave them utterly irrelevant in a future where not having AI-integration is like not having a mobile phone app for your company or not having a website.

So I guess to reiterate on my earlier point:

Drowned rats. Swimming to the one ship in sight.

[thanish]

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[sierraconsult]

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