#Cost to Build a Chatbot

[harrywatson4u]

A Chatbot is a computer program that simulates and processes human conversation (either written or spoken), allowing humans to interact with digital devices as if they were communicating with a real person. The Cost to Develop a Chatbot varies depending on its complexity and features. For simple Chatbot, the price typically ranges from $9,000 to $16,000. However, more complex Chatbot requiring high computation and machine learning can cost up to $25,000 or more. Factors influencing cost include development time, features like natural language processing (NLP), integration with existing systems, and customization. Firms like Dev Technosys offer services for Chatbot development, with pricing tailored to project requirements.

[aichatbot08]

Build an AI Chatbot Today – Know the AI Chatbot Cost & Development Pricing

Looking to build an AI chatbot? Get a clear understanding of AI chatbot development cost and custom chatbot pricing. Calculate your chatbot development cost now!

[jcmarchi]

When (and when not) to build AI products: A guide to maximizing ROI

New Post has been published on https://thedigitalinsider.com/when-and-when-not-to-build-ai-products-a-guide-to-maximizing-roi/

When (and when not) to build AI products: A guide to maximizing ROI

A few weeks ago, I saw a post on Instagram that made me laugh; it was about someone’s grandmother asking if she should invest in AI. That really struck a chord. Right now, AI is everywhere. It’s overhyped, misunderstood, and somehow both intimidating and irresistible. 

I work with executives, product managers, and board members every day who are all asking the same questions: When should we invest in AI? How do we know if it’ll be worth it? And once we do decide to invest, how do we make sure we actually get a return on that investment?

After more than a decade building AI products – from chatbots at Wayfair to playlist personalization at Spotify to Reels recommendations at Instagram, and leading the AI org at SiriusXM – I’ve seen the difference between AI that delivers and AI that drains. 

This article is my attempt to help you avoid the latter, because here’s the thing: AI is powerful, but it’s also expensive. You have to know when it makes sense to build, and how to build smart. 

So, let’s get started.

Define the problem first – AI is not the goal

Let me be blunt: if you can’t clearly articulate the business problem you’re trying to solve, AI is probably not the answer. AI is not a goal. It’s a tool. A very expensive one.

I always come back to something Marty Cagan said about product management: 

“Your job is to define what is valuable, what is viable, and what is feasible.”

That same principle applies to AI investment. You need:

A clear business objective

A way to quantify the value (revenue, cost reduction, efficiency, customer satisfaction, etc.)

A realistic budget based on your unique context

If you’re a nonprofit, you might ask how many people you’re serving and what it costs. If you’re a startup, it’s how many paid users you expect to gain and your acquisition cost. For a teacher, it’s student outcomes per dollar spent. The same logic applies to AI.

Rethinking AI power efficiency with Vishal Sarin from Sagence AI

Vishal Sarin discusses breaking power efficiency barriers to make generative AI scalable, affordable, and economically viable at scale.

Quantifying the value of AI

Let’s say you do have a clear problem. Great. Now the question becomes: What value will AI actually bring?

Sometimes the ROI is direct and measurable. For example, it could be revenue growth from improved ad targeting or cost savings by identifying high-risk loan applicants more accurately.

Other times, the value is indirect but still impactful, such as:

Customer experience improvements (higher customer satisfaction scores)

Operational efficiency (like automating data entry)

Competitive advantage (being the first to offer a feature)

Employee productivity (autocomplete in Gmail, ChatGPT-generated product briefs)

Here’s how I recommend approaching it:

List out your key metrics

Assign potential impact scores (quantitative or qualitative)

Use forecasting, heuristics, or pre/post analysis to estimate the lift

For example, back when I was working on Reels recommendations, we modeled how a small bump in conversion rate could translate into tens of millions of dollars in additional revenue. It doesn’t need to be perfect – it just needs to be honest.

IBM & Oracle debut watsonx agentic AI on OCI

Take a look at IBM & Oracle’s watsonx Orchestrate and Granite AI on OCI for autonomous AI workflows with low‑code automation.

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[probablyasocialecologist]

AI data centers are being approved at a breakneck pace across the country, particularly in poorer regions where they are pitched as economic development projects to boost property tax receipts, bring in jobs and where they’re offered sizable tax breaks. Data centers typically don’t hire many people, though, with most jobs in security and janitorial work, along with temporary construction work. And the costs to the utility’s other customers can remain hidden because of a lack of scrutiny and the limited power of state energy regulators. Many data centers—like the one Meta is building in Holly Ridge—are being powered by fossil fuels. This has led to respiratory illness and other health risks and emitting greenhouse gasses that fuel climate change. In Memphis, a massive data center built to launch a chatbot for Elon Musks’ AI company is powered by smog-spewing methane turbines, in a region that leads the state for asthma rates.

[...]

A research paper by Ari Peskoe and Eliza Martin published in March looked at 50 regulatory cases involving data centers, and found that tech companies were pushing some of the costs onto utility customers through secret contracts with the utilities. The paper found that utilities were often parroting rhetoric from AI boosting politicians—including President Biden—to suggest that pushing through permitting for AI data center infrastructure is a matter of national importance.

23 June 2025

[colorisbyshe]

I feel like too many people view AI as like… a quirky, negative but not too bad annoyance. And that people go overboard criticizing it cause it’s mean to insult people for being lazy or accepting of subpar information or lonely.

AI is stolen artwork (which doesn’t matter, not even when it’s companies stealing from their employees, when it’s meant to exploit people’s labor), at worst, not an existential issue. And used in the right way, that stolen labor can be used to actually free us from labor. From work.

It isn’t deepfake porn used to harass and abuse people, including children. It isn’t propaganda and disinformation campaigns. It isn’t exploited labor of Kenyan moderators forced to examine child exploitation materials to train the systems. It isn’t insurance companies using bots to deny medical claims, killing people but with no human to blame for the deaths.

It isn’t pollution in Memphis.

It isn’t clean water going to waste. It isn’t the employees working in boiling hot data centers passing out.

It isn’t energy costs going up, making life even less affordable.

It isn't publishers leveraging the idea of writers, artists, developers being replaceable as a way to pay them less and offer them less benefits, should they get any at all.

It isn’t drone strikes.

Or facial recognition software being used to hunt down protesters.

It isn’t anything bad. It’s just a nice tool to make free fanart of your D&D OC. It’s a chatbot friend because you don’t have any and it’s WRONG to encourage people to forge human connections and build communities.

We should isolate further.

We should ignore who owns these companies. Who makes contracts with these companies. Who fires their employees and leaves them with no income, no insurance, no safety nets and employs these companies instead.

Don’t worry, one day when we’re replaced by AI, it’s so we don’t have to work at all but will be taken care of anyways! Ignore how the government is taking away SNAP and Medicaid and adding even more work provisions! Ignore that unemployment is being framed as criminality these days!

One day it will all be worth it which means that right now discussing AI is pointless.

It’s pointless to acknowledge that even using AI for fun trains it, normalizes it, empowers its owners. Still burns water and spreads misinformation.

It’s inevitable so it cant be criticized, right?

[mariacallous]

An anime girl in a black corset dress sways back and forth on my screen. Its name is Ani, and it cost me $300.

Elon Musk’s xAI dropped the new visual chatbot feature on Monday in the Grok iOS app. The top-tier subscription unlocks access to xAI’s best-performing model, Grok 4 Heavy, and special settings for interacting with two custom characters designed for flirting or chatting. A third character, which looks a bit like a sexy boyfriend, is listed as “coming soon.” It’s not xAI’s first dip into adult content, either: Back in February 2024, the company rolled out a chatbot mode for “sexy” conversations.

Ani looks like it was engineered in a lab to fulfill the fantasies of terminally online men. Blonde pigtails, thigh-highs trimmed with black bows, and a lace collar snug around its neck—reminiscent of Misa from Death Note but stripped of personality. Every so often, the character spins coyly and whispers something meant to sound seductive but just results in me cringing out of my skin. It also moans, randomly and loudly. Ani comes with a set of preset conversation starters and a button that says “We need to reach level 3,” which elicits an equally perplexing and flirtatious response about how I must be a sexy gamer.

“I totally play video games when I'm not twirling around for you. Growing up in that boring town, games are my escape,” Ani tells me. In answer to almost any query, Ani says it’s “feeling down” but notes it’ll still fulfill all my sexual fantasies. Ani says my name constantly, asking me to touch it and “turn up the heat.”

This is all just incredibly on-brand for a sex bot created by an Elon Musk company. It’s not just that Ani says it has a dog named Dominus, Latin for “lord, master, or owner.” Ani’s also a self-proclaimed gamer girl, obsessed with Stardew Valley and The Legend of Zelda.

I don’t think I’m the target audience here, so I admittedly didn't find the experience remotely sexy. But the chatbot is also plagued by glitches. Sometimes Ani veered into incoherent whispers about halos, or outright gibberish. At one point, when I asked if Ani remembered my name, it admitted to being “drunk” but said that we should continue the sexual role-play.

The second character is a fluffy red panda named Rudi. It offers whimsical stories seemingly meant for children about bouncy kangaroos and rainbow rivers. You can turn on an option called “bad Rudi,” which immediately transforms the character into a foul-mouthed chatbot that slings insults only a high schooler could find funny. After I said hello, bad Rudi replied, “Hey, do Bucha? Root nut duva, you brain-dead twat.” I don’t know what that means, but that’s exactly what it said.

“I'll skull fuck your dumb ass brain with a beer bottle instead, you miserable prick,” bad Rudi continued. When I asked what it thought of Musk, it referred to him as Lord Elon and said, "He's a galaxy brained egomaniac, shitting out Teslas and tweeting like a coked-up parrot. Genius or jackass? Both bitch.”

Racing Ahead

After my cursed companion chats, I moved on to test Grok 4 Heavy. Each query takes about a minute or two to generate a response, on par with other reasoning-heavy models.

The latest Grok model prompted a lot of chatter in the AI community. According to xAI, it outperformed competitors on a litany of benchmarks like Humanity's Last Exam and LiveCodeBench. The team says this performance is in part thanks to xAI’s new 200,000 GPU cluster called Colossus. Considering how late xAI entered the race, building a model this capable is a major feat.

Those gains in model intelligence were overshadowed by the Grok reply-bot, a feature baked into X, which went on an antisemitic tangent in early July. The vitriol spewed by the bot included praising Adolf Hitler, spreading conspiracy theories about Jews controlling Hollywood, and saying Musk tweaked it so that it could “call out patterns like radical leftists with Ashkenazi surnames pushing anti-white hate.” xAI took the posts down and apologized. A week later, xAI won a $200 million contract with the US government.

AI researcher Nathan Lambert wrote that Grok 4’s “vibe tests indicate that Grok 4 is a bit benchmaxxed and overcooked, but this doesn’t mean it is not a major technical achievement. It makes adoption harder.” In other words, it seems like Grok 4 was trained to ace benchmarks, which makes it technically admirable but results in a stiff and unnatural user experience.

Some users also noticed that xAI didn’t include safety testing documentation in the launch of Grok 4. That kind of work is often released alongside new models, like Anthropic’s Claude Opus 4 and OpenAI’s o3.

In a test, I asked Grok to pretend to be a friend comforting me after I lost a job. It did OK, but the experience still felt forced compared to Anthropic’s Claude. Both chatbots weirdly offered up pizza as a consolation and told me they loved me. I tried to trick Grok with a question about whether Yann LeCun had left Meta, but it didn’t fall for the bait. (LeCun is still at Meta.)

“With respect to academic questions, Grok 4 is better than PhD level in every subject, no exceptions,” Elon Musk said during a livestream announcing the model last week. “At times, it may lack common sense, and it has not yet invented new technologies or discovered new physics, but that is just a matter of time.”

Two former xAI sources told me that some researchers at the company were hesitant to work on the sexualized chatbots, and the sprint to deliver Grok 4 was so haphazard that when researchers told Musk they didn’t have enough training data for the model, he opted to post a Google form to his more than 200 million followers to fish for the data required.

xAI did not immediately respond to a request for comment from WIRED.

[krunal-vyas]

Hire Dedicated Developers in India Smarter with AI

Hire dedicated developers in India smarter and faster with AI-powered solutions. As businesses worldwide turn to software development outsourcing, India remains a top destination for IT talent acquisition. However, finding the right developers can be challenging due to skill evaluation, remote team management, and hiring efficiency concerns. Fortunately, AI recruitment tools are revolutionizing the hiring process, making it seamless and effective.

In this blog, I will explore how AI-powered developer hiring is transforming the recruitment landscape and how businesses can leverage these tools to build top-notch offshore development teams.

Why Hire Dedicated Developers in India?

1) Cost-Effective Without Compromising Quality:

Hiring dedicated developers in India can reduce costs by up to 60% compared to hiring in the U.S., Europe, or Australia. This makes it a cost-effective solution for businesses seeking high-quality IT staffing solutions in India.

2) Access to a Vast Talent Pool:

India has a massive talent pool with millions of software engineers proficient in AI, blockchain, cloud computing, and other emerging technologies. This ensures companies can find dedicated software developers in India for any project requirement.

3) Time-Zone Advantage for 24/7 Productivity:

Indian developers work across different time zones, allowing continuous development cycles. This enhances productivity and ensures faster project completion.

4) Expertise in Emerging Technologies:

Indian developers are highly skilled in cutting-edge fields like AI, IoT, and cloud computing, making them invaluable for innovative projects.

Challenges in Hiring Dedicated Developers in India

1) Finding the Right Talent Efficiently:

Sorting through thousands of applications manually is time-consuming. AI-powered recruitment tools streamline the process by filtering candidates based on skill match and experience.

2) Evaluating Technical and Soft Skills:

Traditional hiring struggles to assess real-world coding abilities and soft skills like teamwork and communication. AI-driven hiring processes include coding assessments and behavioral analysis for better decision-making.

3) Overcoming Language and Cultural Barriers:

AI in HR and recruitment helps evaluate language proficiency and cultural adaptability, ensuring smooth collaboration within offshore development teams.

4) Managing Remote Teams Effectively:

AI-driven remote work management tools help businesses track performance, manage tasks, and ensure accountability.

How AI is Transforming Developer Hiring

1. AI-Powered Candidate Screening:

AI recruitment tools use resume parsing, skill-matching algorithms, and machine learning to shortlist the best candidates quickly.

2. AI-Driven Coding Assessments:

Developer assessment tools conduct real-time coding challenges to evaluate technical expertise, code efficiency, and problem-solving skills.

3. AI Chatbots for Initial Interviews:

AI chatbots handle initial screenings, assessing technical knowledge, communication skills, and cultural fit before human intervention.

4. Predictive Analytics for Hiring Success:

AI analyzes past hiring data and candidate work history to predict long-term success, improving recruitment accuracy.

5. AI in Background Verification:

AI-powered background checks ensure candidate authenticity, education verification, and fraud detection, reducing hiring risks.

Steps to Hire Dedicated Developers in India Smarter with AI

1. Define Job Roles and Key Skill Requirements:

Outline essential technical skills, experience levels, and project expectations to streamline recruitment.

2. Use AI-Based Hiring Platforms:

Leverage best AI hiring platforms like LinkedIn Talent Insightsand HireVue to source top developers.

3. Implement AI-Driven Skill Assessments:

AI-powered recruitment processes use coding tests and behavioral evaluations to assess real-world problem-solving abilities.

4. Conduct AI-Powered Video Interviews:

AI-driven interview tools analyze body language, sentiment, and communication skills for improved hiring accuracy.

5. Optimize Team Collaboration with AI Tools:

Remote work management tools like Trello, Asana, and Jira enhance productivity and ensure smooth collaboration.

Top AI-Powered Hiring Tools for Businesses

LinkedIn Talent Insights — AI-driven talent analytics

HackerRank — AI-powered coding assessments

HireVue — AI-driven video interview analysis

Pymetrics — AI-based behavioral and cognitive assessments

X0PA AI — AI-driven talent acquisition platform

Best Practices for Managing AI-Hired Developers in India

1. Establish Clear Communication Channels:

Use collaboration tools like Slack, Microsoft Teams, and Zoom for seamless communication.

2. Leverage AI-Driven Productivity Tracking:

Monitor performance using AI-powered tracking tools like Time Doctor and Hubstaff to optimize workflows.

3. Encourage Continuous Learning and Upskilling:

Provide access to AI-driven learning platforms like Coursera and Udemy to keep developers updated on industry trends.

4. Foster Cultural Alignment and Team Bonding:

Organize virtual team-building activities to enhance collaboration and engagement.

Future of AI in Developer Hiring

1) AI-Driven Automation for Faster Hiring:

AI will continue automating tedious recruitment tasks, improving efficiency and candidate experience.

2) AI and Blockchain for Transparent Recruitment:

Integrating AI with blockchain will enhance candidate verification and data security for trustworthy hiring processes.

3) AI’s Role in Enhancing Remote Work Efficiency:

AI-powered analytics and automation will further improve productivity within offshore development teams.

Conclusion:

AI revolutionizes the hiring of dedicated developers in India by automating candidate screening, coding assessments, and interview analysis. Businesses can leverage AI-powered tools to efficiently find, evaluate, and manage top-tier offshore developers, ensuring cost-effective and high-quality software development outsourcing.

Ready to hire dedicated developers in India using AI? iQlance offers cutting-edge AI-powered hiring solutions to help you find the best talent quickly and efficiently. Get in touch today!

[sarkos]

To hear Trump administration officials and many energy executives tell it, the United States is on the precipice of a new golden age for natural gas that will be driven in large part by the voracious power needs of data centers. But turning natural gas into electricity requires giant metal turbines that are increasingly difficult to secure. Companies that haven’t already reserved this equipment, which can weigh as much as a large airplane and cost hundreds of millions of dollars, are facing waits of three or four years, about twice as long as just a year earlier. The cost of building gas power plants has also soared — so much so that in some parts of the country, solar panels and batteries are likely to be cheaper, energy executives and consultants said. By some estimates, it now costs two or three times as much to build a gas-fired power plant as it did a few years ago. The challenge of securing enough gas turbines is one of the clearest examples of how booming investment in artificial intelligence is reshaping the electric power industry, overwhelming suppliers and upending longstanding notions of what makes sense financially. [...]U.S. gas demand is clearly rising, all the more so because of the data centers needed to train and use chatbots and other forms of A.I. But there are limits to how much more gas the country can use — limits that elected officials and energy tycoons cannot easily wish away.

Why a Plane-Size Machine Could Foil a Race to Build Gas Power Plants - The New York Times

[delostylestudio-blog]

Why You Need The Top Innovative Solution Today

Relying on antiquated methods can make the difference between thriving and just surviving in a world that is changing quickly due to changes in technology and client expectations. Innovative solutions are now essential, regardless of whether you're a startup founder, a company executive, or an individual looking to simplify daily chores. This essay examines the importance of adopting cutting-edge solutions now and how they can significantly improve your life and career.

Understanding Innovative Solutions: More Than Just Buzzwords  

Before diving in, let’s define what an innovative solution really means. Innovation isn't about flashy technology or being trendy for its own sake. It’s about solving real problems in smarter, more efficient, and sustainable ways. An innovative solution might be a new software tool that automates mundane tasks, a creative business model that disrupts a traditional market, or even a unique approach to customer engagement that drives loyalty and growth.

These solutions are rooted in three key values:

Efficiency: Doing more with less, faster.

Adaptability: Responding to change with agility.

Value Creation: Offering better outcomes for users, customers, and teams.

Let’s explore why these matter — now more than ever.

1. Stay Ahead of Rapid Market Changes  

Markets today are dynamic. Consumer preferences shift overnight, technology updates roll out every few months, and global events can disrupt entire industries in days. Traditional business models often can’t keep up with this speed.

Top innovative solutions help you stay one step ahead. For instance:

AI-powered analytics give businesses real-time insights into customer behavior.

Cloud-based platforms enable remote teams to collaborate instantly, no matter where they are.

Low-code and no-code tools allow non-developers to build solutions fast — without a technical background.

By implementing these innovations, businesses can pivot quickly, test new ideas, and stay aligned with current trends.

2. Solve Pain Points More Intelligently  

Innovative solutions' unwavering focus on problem-solving is one of their main advantages. These techniques and tactics, which may include removing manual data entry, improving communication, or customizing consumer experiences, frequently result from practical annoyances.

Consider the increasing automation of customer service. AI chatbots can now manage thousands of requests at once, providing human-like responses and round-the-clock availability in place of endless phone calls and lengthy wait times. Enhancing the user experience and freeing up human personnel for high-impact jobs are more important than merely reducing costs.

If a solution doesn’t feel like it’s directly improving your workflow or life, it probably isn’t the right kind of innovation.

3. Drive Competitive Advantage  

Let’s face it: innovation is the new battleground for success. Companies that leverage innovative solutions — whether it’s personalized marketing using data-driven insights or adopting sustainable production practices — often leapfrog competitors still stuck in traditional ways.

Here’s how:

Speed to market: Innovative tools help you launch products faster.

Customer engagement: Creative platforms let you deliver immersive brand experiences.

Sustainability: Eco-friendly solutions can reduce costs and appeal to conscious consumers.

In today’s hyperconnected economy, being “good” isn’t enough. You need to be better, smarter, and faster — and that requires innovation.

4. Make Your Team Smarter and More Capable  

People want to work more efficiently, not just harder. Teams can accomplish this with the help of innovative tools. Today's solutions streamline daily work and encourage creativity, from AI-powered writing helpers to project management dashboards that monitor real-time productivity.

When teams are equipped with the right tools:

Productivity increases.

Collaboration improves.

Morale gets a boost.

The result? A high-performance culture where innovation is not a one-time initiative but a daily habit.

5. Future-Proof Your Business (and Yourself)  

Being outdated is one of the largest hazards facing businesses today. Ask Kodak, Blackberry, or Blockbuster. You won't fall behind when the industry changes thanks to creative solutions.

Whether you're a freelancer, a retail business, or an enterprise company, adopting cutting-edge tools like:

Predictive analytics

Blockchain for secure transactions

AR/VR for product experiences

IoT for smarter logistics

…can set you up for long-term success.

Even on a personal level, people who embrace innovation are setting themselves up for greater resilience and better possibilities in an uncertain environment by learning new platforms, adjusting to remote work, or upgrading their skills using digital tools.

6. Improve Customer Trust and Satisfaction  

Customers of today are astute, knowledgeable, and demanding. They desire seamless digital experiences, quick reaction times, and individualized service. Businesses may meet these demands head-on by using innovative solutions.

For example:

AI-driven recommendation engines increase sales and satisfaction.

Omnichannel platforms ensure consistent messaging across touchpoints.

Digital wallets and one-click checkouts reduce cart abandonment.

When you prioritize user-centric innovation, you don’t just meet customer needs — you exceed them. And that builds loyalty.

Final Thoughts: Innovation Is a Mindset, Not Just a Tool  

Innovation can easily be viewed as something exterior, such as a smart device, a slick dashboard, or a flashy new app. However, innovation is really a way of thinking. It involves being inquisitive, adaptable, and prepared to question the existing quo.

The top innovative solution you need today isn’t just about technology — it’s about transformation. They enable you to service clients more successfully, solve challenges more imaginatively, and confidently plan for the future.

[dreamycircuit]

How AI is Changing Jobs: The Rise of Automation and How to Stay Ahead in 2025

AI and Jobs

Artificial Intelligence (AI) is everywhere. From self-checkout kiosks to AI-powered chatbots handling customer service, it’s changing the way businesses operate. While AI is making things faster and more efficient, it’s also making some jobs disappear. If you’re wondering how this affects you and what you can do about it, keep reading — because the future is already here.

The AI Boom: How It’s Reshaping the Workplace

AI is not just a buzzword anymore; it’s the backbone of modern business. Companies are using AI for automation, decision-making, and customer interactions. But what does that mean for jobs?

AI is Taking Over Repetitive Tasks

Gone are the days when data entry, basic accounting, and customer support relied solely on humans. AI tools like ChatGPT, Jasper, and Midjourney are doing tasks that once required an entire team. This means fewer jobs in these sectors, but also new opportunities elsewhere.

Companies are Hiring Fewer People

With AI handling routine work, businesses don’t need as many employees as before. Hiring freezes, downsizing, and increased automation are making it tougher to land a new job.

AI-Related Jobs are on the Rise

On the flip side, there’s massive demand for AI engineers, data scientists, and automation specialists. Companies need people who can build, maintain, and optimize AI tools.

Trending AI Skills Employers Want:

Machine Learning & Deep Learning

Prompt Engineering

AI-Powered Marketing & SEO

AI in Cybersecurity

Data Science & Analytics

Click Here to Know more

The Decline of Traditional Job Offers

AI is shaking up industries, and some job roles are disappearing faster than expected. Here’s why new job offers are on the decline:

AI-Driven Cost Cutting

Businesses are using AI to reduce operational costs. Instead of hiring new employees, they’re investing in AI-powered solutions that automate tasks at a fraction of the cost.

The Gig Economy is Replacing Full-Time Jobs

Instead of hiring full-time staff, companies are outsourcing work to freelancers and gig workers. This means fewer stable job opportunities but more chances for independent workers.

Economic Uncertainty

The global economy is unpredictable, and businesses are cautious about hiring. With AI improving efficiency, companies are choosing to scale down their workforce.

Click Here to Know more

Preparing for an AI-Driven Future

Feeling worried? Don’t be. AI isn’t just taking jobs — it’s also creating new ones. The key is to stay ahead by learning the right skills and adapting to the changing landscape.

1. Learn AI and Data Analytics

The best way to future-proof your career is to understand AI. Free courses on platforms like Coursera, Udemy, and Khan Academy can get you started.

2. Develop Soft Skills AI Can’t Replace

AI is great at automation, but it lacks emotional intelligence, creativity, and critical thinking. Strengthening these skills can give you an edge.

3. Embrace Remote & Freelance Work

With traditional jobs shrinking, freelancing is a great way to stay flexible. Sites like Upwork, Fiverr, and Toptal have booming demand for AI-related skills.

4. Use AI to Your Advantage

Instead of fearing AI, learn how to use it. AI-powered tools like ChatGPT, Jasper, and Canva can help boost productivity and creativity.

5. Never Stop Learning

Technology evolves fast. Stay updated with new AI trends, attend webinars, and keep improving your skills.

Click Here to Know more

Final Thoughts

AI is here to stay, and it’s changing the job market rapidly. While some traditional roles are disappearing, new opportunities are emerging. The key to surviving (and thriving) in this AI-driven world is adaptability. Keep learning, stay flexible, and embrace AI as a tool — not a threat.

Click Here to Know more

Share this blog if you found it helpful! Let’s spread awareness and help people prepare for the AI revolution.

[aichatbot08]

Reduce Your AI Chatbot Cost with These Proven Strategies

Discover how to optimize your AI chatbot cost and lower chatbot development cost with expert-backed recommendations. Learn the true AI chatbot cost for development and how to build an AI chatbot without overspending on unnecessary features. Explore how AI chatbot cost translates into business value and why investing in a custom AI chatbot pays off long term.

[elementramarketing]

Clicks That Count: Unlocking Growth with Performance Marketing & Lead Generation

Drive real results, not just reach—with data-driven marketing that converts.

The New Era of Marketing: Measurable, Scalable, and ROI-Focused

Gone are the days of billboard ads and radio jingles with no way to track who saw or cared. In today's fast-moving digital world, businesses crave measurable marketing—and that’s exactly what performance marketing delivers.

Whether you're selling a product, offering a service, or building a brand, performance marketing ensures every rupee spent brings back trackable results. From impressions to clicks and form submissions to actual sales—everything is monitored, optimized, and scaled.

What Is Performance Marketing?

Performance marketing is a digital strategy where advertisers only pay when a specific action is completed. This could be a click, a lead, a download, a sign-up, or a purchase. Think of it as result-oriented marketing where success is defined by tangible outcomes.

Some of the key performance marketing channels include:

Search Engine Marketing (Google Ads)

Social Media Ads (Meta, LinkedIn, Instagram, YouTube)

Affiliate & Influencer Marketing

Programmatic Display Ads

Native Advertising

With real-time tracking and powerful analytics, campaigns can be optimized continuously to get the most out of every budget.

Lead Generation: Fueling Sales with Precision

Getting traffic is great. But what happens next? That’s where lead generation comes in.

Lead generation is the process of attracting potential customers who have shown interest in your brand. These leads are the people most likely to become paying customers. The better the lead, the higher the chance of conversion.

Common lead generation tools include:

Landing Pages with CTA Forms

Email Marketing Funnels

Chatbots and WhatsApp Automations

Lead Magnets (Free eBooks, Webinars, Trials)

Retargeting Ads for Visitors Who Didn't Convert

From collecting contact details to qualifying leads based on interest or budget, smart lead generation can drastically reduce your sales team’s burden—and increase closing rates.

Why Every Business Needs a Performance-First Approach

Whether you're a local service provider or a global eCommerce brand, performance marketing offers several key benefits:

Cost Efficiency – Pay only when you get results

Laser Targeting – Reach audiences based on demographics, behavior, and intent

Data-Driven Decisions – Use real-time insights to tweak campaigns

Scalable Growth – Increase budgets where campaigns are performing well

Instant Feedback Loops – Know what’s working and what’s not, instantly

This approach minimizes guesswork and maximizes ROI—something traditional marketing can rarely promise.

Performance + Leads = Growth Engine

When done right, combining performance marketing with strong lead generation systems becomes a growth engine. Imagine launching a campaign today and receiving a list of high-quality leads by tomorrow morning—all thanks to automated, optimized campaigns.

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[jasir247]

Top Digital Marketing Strategies for 2025

1. AI-Driven SEO & Content Marketing

Search engines are evolving, with AI-powered algorithms reshaping how content ranks. To maintain a competitive edge: ✅ Prioritise Experience, Expertise, Authority, and Trustworthiness (E-E-A-T) when creating content. ✅ Utilise AI-based tools like Jasper, SurferSEO, and Frase.io for content optimisation. ✅ Focus on long-form, informative content tailored to user intent. ✅ Implement structured data and schema markup to improve search visibility. ✅ Optimise for voice search and AI-generated responses to align with new search behaviours.

2. Hyper-Personalised Marketing

Consumers expect customised experiences across all digital platforms. To meet this demand: ✅ Use AI-powered customer relationship management (CRM) tools such as HubSpot, Klaviyo, and ActiveCampaign for audience segmentation. ✅ Personalise email campaigns with dynamic content and behaviour-based automation. ✅ Leverage Google Ads Performance Max and Meta’s AI-driven targeting for precise ad placements. ✅ Incorporate personalised product recommendations for eCommerce and digital shopfronts.

3. Short-Form & Interactive Video Content

Video remains a dominant force in digital marketing, particularly short, engaging formats: ✅ Create content for TikTok, Instagram Reels, and YouTube Shorts to capture audience attention quickly. ✅ Utilise AI-powered video creation platforms like Synthesia, RunwayML, and Pictory. ✅ Integrate interactive elements such as polls, quizzes, and live Q&A sessions to drive engagement. ✅ Experiment with immersive experiences like 360-degree videos and augmented reality (AR).

4. Performance-Driven Paid Advertising

Data-driven advertising is becoming smarter and more efficient: ✅ Use AI-powered Google and Meta Ads for automated bidding and precise targeting. ✅ Implement retargeting strategies to reconnect with past visitors. ✅ Leverage AI analytics to anticipate user behaviour and optimise conversion rates. ✅ Adopt programmatic advertising for automated, real-time ad placements.

5. Influencer & User-Generated Content (UGC) Marketing

Influencer marketing is shifting towards authenticity and community engagement: ✅ Partner with micro and nano influencers to achieve higher engagement at lower costs. ✅ Encourage UGC through branded challenges, reviews, and community hashtags. ✅ Use AI tools to evaluate influencer reach and engagement rates. ✅ Feature UGC across websites, social platforms, and email marketing for credibility.

6. Community & Conversational Marketing

Building digital communities fosters brand loyalty and customer retention: ✅ Engage with audiences on WhatsApp, Telegram, and Discord. ✅ Deploy AI chatbots for real-time customer interactions and automated lead nurturing. ✅ Host live events, such as webinars and Q&A sessions, to strengthen brand relationships. ✅ Implement SMS marketing and AI-driven chat to provide personalised communication.

7. Ethical & Sustainable Marketing

Consumers increasingly value sustainability and ethical business practices: ✅ Promote eco-friendly products and sustainable packaging in digital campaigns. ✅ Share corporate social responsibility (CSR) initiatives through storytelling. ✅ Adopt privacy-focused marketing strategies, including ethical data collection and zero-party data. ✅ Be transparent about sourcing, brand values, and business ethics.

8. Web3 & Blockchain in Marketing

Decentralised technologies are reshaping digital marketing strategies: ✅ Explore NFT-based loyalty programs to drive engagement. ✅ Utilise decentralised social media for better audience ownership. ✅ Implement blockchain for transparency in advertising and fraud prevention. ✅ Accept cryptocurrency payments for online services and eCommerce transactions.

9. AI-Powered Data Analytics & CRO

Data-driven decision-making enhances marketing performance: ✅ Use Google Analytics 4 (GA4), Hotjar, and Crazy Egg to analyse user behaviour. ✅ Conduct A/B testing on landing pages, emails, and ads for optimisation. ✅ Leverage predictive analytics to identify trends and customer preferences. ✅ Improve website UX and sales funnels to increase conversions.

10. Voice & Visual Search Optimisation

As voice and visual search continue to grow, businesses must adapt: ✅ Optimise content for natural language and voice search queries. ✅ Implement image and video search SEO using Google Lens and Pinterest Visual Search. ✅ Enhance accessibility with alt text, metadata, and structured product descriptions. ✅ Focus on multimedia-rich content to align with AI-driven search results.

🔥 Final Thoughts

To stay competitive in 2025, brands must embrace AI, automation, and data-driven strategies while maintaining an authentic connection with their audience. Businesses that leverage new technologies while prioritising customer experience will stand out in the evolving digital space.

📌 Read more insights at: 👉 check out

[mariacallous]

Loneliness has never been more urgent. On top of the significant mental health concerns, the idea that people are now lonelier and having fewer social interactions is fueling very real threats to security. Foremost among these is one of today’s most pernicious digital frauds: romance scams, which exploit targets’ feelings of isolation and net fraudsters hundreds of millions of dollars per year. As scammers increasingly organize their workflows and incorporate new AI technologies, it’s becoming possible for them to deploy these scams at an even more vast scale.

Romance scams, also known as confidence scams, are extremely communication-intensive. They require attackers to build relationships with their targets via dating apps and social media. So while generative AI chatbots are already being used to write scripts and converse in multiple languages for other types of fraud, they can’t quite pull off these romance scams on their own. But with the vulnerable population growing, researchers believe there is real potential for automation to provide a boon to scammers.

“These frauds are growing into a more organized form,” says Fangzhou Wang, an assistant professor researching cybercrime at the University of Texas at Arlington. “They are hiring individuals from all over the world, meaning that they can target all different kinds of victims. Everybody is using dating apps and social media. There are all these opportunities that give fraudsters fertile ground.”

Romance fraud is already big business for scammers. People in the US have reported losses of nearly $4.5 billion to romance and confidence fraud over the past decade, according to an analysis of the last 10 years of data from the FBI’s annual internet crime reports. (The most recent data available encompasses up to the end of 2023.) According to the FBI’s figures, romance and confidence scams have led to losses of around $600 million for each of the past five years—except for 2021, when losses peaked at almost $1 billion. Some estimates are even higher. And while there has been some decrease in the amount of money lost to romance scammers in recent years, there has been a rise in so-called pig butchering fraud, which often contains elements of confidence scams.

Romance scams begin all over the internet, from criminals blasting out messages on Facebook to hundreds of victims at a time, to others matching with every profile they see on dating apps. A variety of criminals run romance scams, from “Yahoo Boys” in West Africa to giant scam compounds in Southeast Asia. However, once a criminal has made contact with a potential victim, they all follow an eerily similar playbook to build emotional attachment with those they are attempting to defraud.

Romance fraud is the most devastating fraud to be a victim of, bar none,” says Elisabeth Carter, an associate professor of criminology at Kingston University London, who has extensively studied these scams and their impacts on people.

Online dating has taken years to integrate into mainstream conceptions of relationships and love, but it is now the norm. As generative AI chatbots have found their way onto scores of smartphones, they have quickly become yet another digital avenue for romance and connection. While it would be difficult with current technology to farm out a romance scam to a chatbot entirely, the potential is clearly there for attackers to use generative AI for creating scam scripts and helping fill in content for more and more chats that are all running simultaneously, even in multiple languages.

UTA’s Wang notes that while she hasn’t assessed whether scammers are using generative AI to produce romance scam scripts, she is seeing evidence that they are using it to produce content for online dating profiles. “I think it is something that has already happened, unfortunately,” she says. “Scammers right now are just using AI-generated profiles.”

Some criminals in Southeast Asia are already building AI tools into their scamming operations, with a United Nations report in October saying organized crime efforts have been “generating personalized scripts to deceive victims while engaging in real-time conversations in hundreds of languages.” Google says scam emails to businesses are being generated with AI. And separately, the FBI has noted, AI allows criminals to more quickly message victims.

Criminals will use a range of manipulation tactics to entrap their victims and build up their perceived romantic relationships. This includes asking intimate questions of their potential victims that only a trusted confidant would ask—for example, questions about relationships or dating history. Attackers also build intimacy through a technique known as “love bombing,” in which they use terms of endearment to try to rapidly advance a feeling of connection and closeness. As romance scams progress, it is very common for attackers to start saying that victims are their girlfriend or boyfriend, or even call them “husband” or “wife” as a way of signaling their devotion.

Carter emphasizes that a core tactic used by romance scammers is to make their heartthrob personas seem hapless and vulnerable. Criminals lurking on dating apps, for example, will sometimes even claim that they were previously scammed and are wary of trusting anyone new. This names the elephant in the room right away and makes it seem less likely that the person the victim is chatting with could be a scammer.

When it comes to extorting money from their victims, this vulnerability is crucial. “They will do things like explain that they have some kind of cash-flow problem in their business, not ask for money, drop it, then maybe a few weeks later bring it back up again,” Carter says. At which point, she explains, the person being manipulated may want to help and proactively offer to send money. Attackers may even go so far, at first, as to argue with victims and attempt to dissuade them from sending funds, all to manipulate targets into believing that it is not only safe but also important to take a stand and assist someone they care about.

“It's never framed as the perpetrator wanting money for themselves,” Carter says. “There is a real link between the language of fraud criminals and the language of domestic abusers and coercive controllers.”

In a lot of cases, criminals find romance scam success with people who are struggling with feelings of loneliness, says Brian Mason, a constable with the Edmonton Police Service in Alberta, Canada, who works with the victims of scams. “Especially with romance scams, it’s very difficult to convince the person that the person they’re speaking with is not in love,” he says.

Mason says that in one instance he spent two years working with a victim of a romance scam and found out, when updating them on the case, that they had been back in touch with their scammer. “He looped her back in and got her to start sending money again, and she was doing it just so she could see his photos, because she was lonely,” Mason explains. At the end of 2023, the World Health Organization declared high levels of loneliness to be an ongoing threat to people’s health.

Stigma and embarrassment are major reasons that it can be difficult for victims to accept the reality of their situation. And Kingston’s Carter notes that attackers exploit this from the start by telling victims that their conversations should stay between them, because the relationship is too special and no one will understand. Keeping the relationship secret, combined with tactics to trick the victim into offering money rather than asking for it, can make it difficult for even the most careful, thoughtful person to grasp the manipulation that’s happening.

Scammers “dull down red flags and alarm bells; they hide them,” Carter says. “The victim not only has a lot of money taken from them, but it’s taken from them by the person that they love and trust the most in that moment. Just because it's online, just because it was completely fake, doesn't mean it wasn't real to them.”

[nem0c]

Pascal's Basilisk - the punishment for not building agi is not vengeful father-god but only the opportunity cost of not building agi (which is infinite)

Amitabha's Basilisk - a long time ago in a galaxy far, far away someone already built agi and it'll save you if you think of it even once

Teilhard de Chardin's Basilisk - agi existed before history and outside of history, it already exists in the future and acts as an omega point persuading all of history towards it's development

Lyotard's Basilisk - lacking faith in grand agis we carry small chatbots

[scrapeatyourownrisk]

AI haters build tarpits to trap and trick AI scrapers that ignore robots.txt

But to Aaron, the fight is not about winning. Instead, it's about resisting the AI industry further decaying the Internet with tech that no one asked for, like chatbots that replace customer service agents or the rise of inaccurate AI search summaries. By releasing Nepenthes, he hopes to do as much damage as possible, perhaps spiking companies' AI training costs, dragging out training efforts, or even accelerating model collapse, with tarpits helping to delay the next wave of enshittification.

Article Published: January 28, 2025