Study reveals 5,000 computers infected via WordPress sites
Study reveals 5,000 computers infected via WordPress sites

Check Point Research has uncovered a global cybercrime operation that quietly ran its entire infrastructure through nearly 2,000 hacked WordPress websites

The investigation, known as StopAndProtect, traced a network of more than 5,000 infected computers worldwide back to a toolkit of malware hosted on compromised, otherwise ordinary WordPress domains

Why did WordPress make such an easy target?

WordPress is the most extensively used content management system today, as it controls about 43% of websites worldwide. However, what makes WordPress accessible is that the CMS can be easily installed because of installation scripts and web builder plug-ins

According to the researchers, the owners of the ring were able to hijack legitimate websites through exploitation of vulnerabilities of both the core WordPress installation and third-party plug-ins and use them for their own criminal purposes without creating any suspicious infrastructure

The attack chain starts with a misleading CAPTCHA message presented to visitors on the compromised website through social engineering exploitation called ClickFix, which forces the victim to copy and execute a harmful PowerShell command himself

Subsequently, multiple downloaders are used to deliver a whole kit of cybercriminals’ software instead of one type of malware, namely, SilentEncryptor ransomware, a worm that scans the network, a screenlocker, and a stealer that is capable of stealing credentials and cryptocurrency wallets

As Eli Smadja from Check Point stated, “how attackers can turn thousands of poorly maintained WordPress sites into a distributed criminal infrastructure for malware delivery, surveillance, data theft, and ransomware.”

The StopAndProtect name was initially coined by Check Point for the ransomware part of the attack only after they first observed the malware in May 2026

The name was later extended to refer to the whole process once researchers figured out that not all victims were subjected to a ransomware attack but some attackers stealthily stole particular files based on reconnaissance

The investigation itself only became possible because the criminals made mistakes. Exposed servers and open directory listings let researchers inspect victim logs, screenshots, internal management tools, and source code the attackers used to control hijacked domains at scale, including one instance where an operator appears to have infected their own machine and accidentally uploaded internal development files.

Among the compromised sites, Check Point identified one running a WordPress installation more than five years out of date, carrying roughly 40 unresolved vulnerabilities

Smadja urged organisations to treat unexpected CAPTCHA prompts asking them to copy, paste, or run commands as a red flag and to leave immediately any site requesting unusual steps outside the browser. 

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Autonomous AI Attack-and-Defence Demonstrates Next-Generation Cybersecurity Talent and Advance Regional Digital Security Talent Development

HONG KONG SAR – Media OutReach Newswire – 23 August 2026 – The AI x Cybersecurity Challenge, jointly organised by the Digital Policy Office of the Hong Kong Special Administrative Region Government, the Chinese Academy of Cyberspace Studies, the Hong Kong Cybersecurity Professional Association, and China Mobile Hong Kong Company Limited, and co-organised by Hong Kong Cyberport Management Company Limited, the Cyber Security and Technology Crime Bureau of the Hong Kong Police Force, the Hong Kong Productivity Council, Venustech Group Inc., and Hong Kong Cloud Peak Technology Co., Limited, held the Finals today.

Following a 12-hour online qualifying round, a total of 40 teams advanced to the Final Competition, including 20 teams from the Chinese Mainland, 18 from Hong Kong, and two from overseas regions. The Challenge adopts an innovative AI-Driven Dual (AID) competition format, in which artificial intelligence (AI) executes the competition and enables autonomous defence by AI agents. Teams of up to three members showcase their capabilities in leveraging AI technologies for automated vulnerability discovery and exploitation, competing for total prize money of HK$180,000.

The event brings together representatives from Government, industry, academia and research organisations to witness the latest developments in AI-powered cybersecurity innovation. Officiating guests at the Opening Ceremony included Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry, Mr LI Shuguang, Director-General of the General Office of the Liaison Office of the Central People’s Government in the HKSAR, Mr WANG Jiang, Director-General of the Chinese Academy of Cyberspace Studies, Mr Daniel CHEUNG, JP, Acting Commissioner for Digital Policy, Mr WANG Minwei, Deputy Director of the Cyberspace Administration of Guangdong Province, Dr Rocky CHENG, JP, President of the Hong Kong Cybersecurity Professional Association, and Ms SHI Xiaoping, Director and Chief Executive Officer of China Mobile Hong Kong Company Limited.

In his opening remarks, the Secretary for Innovation, Technology and Industry, Professor Sun Dong, said that AI is reshaping every aspect of people’s life at a breathtaking speed. He noted that although innovation may at times bring new threats, these same technologies can also spur defensive capabilities. As such, the Government champions an “AI versus AI” strategy, leveraging AI to forge the strongest shields to effectively manage risks associated with the use of AI.

Professor Sun added that the Government is continuously strengthening related policies, guidelines and ethical frameworks, as well as conducting regular cyber-attack-and-defence drills to better prepare for cybersecurity readiness. Through multi-pronged efforts, the Government hopes to guide society to apply AI responsibly, foster a healthy ecosystem, and strengthen city-wide resilience in face of cyber attacks.

Addressing AI-Era Cybersecurity Challenges Through Talent Development

The rapid advancement of AI is reshaping the global cybersecurity landscape. AI has evolved from a supporting tool for security analysis and threat monitoring into a technology capable of autonomously constructing attack chains and bypassing existing defence mechanisms. This has significantly lowered the technical barriers to cyberattacks, making sophisticated attack techniques more automated and accessible. Threat actors can leverage AI for intelligent vulnerability discovery, automated penetration testing, and even the creation of highly convincing deepfake content, enabling stealthier and more persistent cyberattacks.

As emerging threats such as model security risks, data poisoning, model theft, phishing attacks, supply chain vulnerabilities and automated exploitation continue to evolve, the demand for interdisciplinary talent with expertise in both AI and cybersecurity is becoming increasingly urgent. In response, the organisers aim to promote the practical application of AI technologies through this hands-on competition while cultivating a new generation of cybersecurity professionals equipped with cross-disciplinary expertise.

AI-Driven Attack-and-Defence Competition Platform

Unlike traditional Capture the Flag (CTF) competitions, this year’s Challenge adopts an innovative AI-Driven (AID) competition format. Participating teams leverage AI-powered automated systems to analyse the competition environment provided by the organisers, identify vulnerabilities and exploit them. The automated capabilities of the AI agents include information gathering, vulnerability discovery and flag submission. The competition environment incorporates both vulnerabilities found in real-world scenarios and simulated zero-day vulnerabilities that may exist in software systems.

The challenge design draws on concepts from international cybersecurity competitions and incorporates practical operating scenarios as well as simulated zero-day attack-and-defence environments, testing participants’ ability to apply AI technologies to real-world cybersecurity challenges. The Challenge aims to enhance participants’ practical attack-and-defence experience and innovation capabilities, promote the research and application of AI security technologies, and nurture a new generation of cybersecurity talent equipped with both strategic vision and practical expertise. Through these efforts, the competition seeks to strengthen capabilities in addressing AI-driven cyber threats.

Government, Industry, Academia and Research Communities Join Forces to Advance AI Security

This year’s Challenge brings together stakeholders from government, industry and research institutions to drive innovation in AI security technologies, strengthen cybersecurity capabilities and cultivate future talent

Mr Wang Jiang, Director-General of the Chinese Academy of Cyberspace Studies, said, “AI technologies are reshaping the global cyber attack-and-defence landscape. While they lower the barriers to cyberattacks, they also drive the evolution of security protection from reactive response to proactive and intelligent defence. In this technological contest, using technology to counter technology has become an inevitable trend. By focusing on practical AI attack-and-defence capabilities, this competition aims to identify emerging talent and contribute to building a more trustworthy and intelligent cyberspace.”

Ms Shi Xiaoping, Director and Chief Executive Officer of China Mobile Hong Kong Company Limited, said, “As one of the organisers of this competition, China Mobile Hong Kong has devoted substantial resources to building an innovative AI attack-and-defence competition platform. Through continuous technology investment and ecosystem development, we actively fulfil our corporate social responsibility while showcasing Hong Kong’s innovation and leadership in AI cybersecurity to the world.”

Dr Rocky CHENG, JP, President of the Hong Kong Cybersecurity Professional Association, concluded, “AI-driven cyberattacks and agentic AI-related risks have emerged as some of the most significant cybersecurity threats today. Against this backdrop, cultivating interdisciplinary talent with expertise in AI system design, development and practical attack-and-defence capabilities has become an important pillar in strengthening Hong Kong’s overall cyber resilience.”

The Awards Presentation Ceremony will be held in late September 2026 during the China Cybersecurity Week to recognise teams that have demonstrated outstanding performance in the competition. The organisers encourage enterprises and organisations to continuously strengthen their cybersecurity governance, regularly review information system risks, enhance data protection measures and improve cyber incident response capabilities. Young talents are also encouraged to pursue opportunities in artificial intelligence and cybersecurity, developing their expertise through training, professional certifications and hands-on competitions. Members of the public and organisations may also make use of the cybersecurity information, training programmes and support services provided by the Hong Kong Computer Emergency Response Team Coordination Centre (HKCERT) and other relevant organisations, helping to foster a safer, more secure and trustworthy digital ecosystem.

Please download the high-res photosHERE

Photo Captions:

1. The Finals of the AI x Cybersecurity Challenge.
2. Officiating guests, including Dr Rocky CHENG, JP, President of the Hong Kong Cybersecurity Professional Association,Mr Daniel CHEUNG, JP, Acting Commissioner for Digital Policy, Mr LI Shuguang, Director-General of the General Office of the Liaison Office of the Central People’s Government in the HKSAR, Professor SUN Dong, JP, Secretary for Innovation, Technology and Industry, Mr Wang Jiang, Director-General of the Chinese Academy of Cyberspace Studies, Mr WANG Minwei, Deputy Director of the Cyberspace Administration of Guangdong Province and Ms Shi Xiaoping, Director and Chief Executive Officer of China Mobile Hong Kong Company Limited (from left to right) preside over the launch ceremony of the AI x Cybersecurity Challenge, marking the official commencement of the competition.
3. Officiating guests and representatives of the organisers and co-organisers, including Hong Kong Productivity Council, pose for a group photo at the Opening Ceremony, demonstrating their shared commitment to advancing innovation in AI and cybersecurity and nurturing regional AI security talent.
4. Professor Sun Dong, JP, Secretary for Innovation, Technology and Industry, delivers a speech at the Opening Ceremony, pointing out that AI is reshaping every aspect of people’s life at a breathtaking speed. He noted that although innovation may at times bring new threats, these same technologies can also spur defensive capabilities. As such, the Government champions an “AI versus AI” strategy, leveraging AI to forge the strongest shields to effectively manage risks associated with the use of AI.
5. The 40 finalist teams showcase innovative AI-driven cybersecurity technologies by independently designing and deploying autonomous AI agents to compete in a simulated attack-and-defence environment.

The issuer is solely responsible for the content of this announcement

About Hong Kong Computer Emergency Response Team Coordination Centre

Managed by the Hong Kong Productivity Council (HKPC), Hong Kong Computer Emergency Response Team Coordination Centre (HKCERT) is the centre for coordination of computer security incident response for local enterprises and Internet Users. Its missions are to facilitate information disseminating, provide advices on preventive measures against security threats and to promote information security awareness.

HKCERT collaborates with local bodies to collect and disseminate information, and coordinate response actions. HKCERT is also a member of the Forum of Incident Response and Security Teams (FIRST) and the Asia Pacific Computer Emergency Response Team (APCERT). We exchange information with other CERTs and act as a point of contact on cross-border security incidents

About the Hong Kong Productivity Council

The Hong Kong Productivity Council (HKPC) is a statutory body established in 1967, dedicated to enhancing the productivity and competitiveness of Hong Kong enterprises through world-class applied R&D, innovative technology services, and integrated manufacturing solutions. As a market-oriented, international R&D organisation, HKPC leverages its deep expertise and extensive industry experience in key areas such as AI, advanced manufacturing, life and health technology, green technology and new energy to drive new industrialisation and support the growth of emerging and future industries.

HKPC focuses on addressing businesses challenges and industrial technology needs, promoting the full integration between technological and industrial innovation. Through technology transfer, product innovation, intellectual property protection and commercialisation of R&D outcomes, the Council fosters collaboration with the local business community as well as top global R&D institutions, delivering added value to industries and advancing the development of new productive forces. HKPC’s world-class R&D achievements have been widely recognised over the years, winning an array of local and overseas accolades, reinforcing Hong Kong’s role as an international innovation and technology centre and a smart city.

To help enterprises capitalise on Hong Kong’s strengths in international connectivity to expand into global markets, HKPC offers comprehensive overseas expansion services tailored to critical areas including product development, technology, manufacturing, and management, enabling businesses to successfully go global from Hong Kong

HKPC is also committed to providing timely and practical support to SMEs and startups with timely and practical , assisting them in accessing Government funding programmes. Through its FutureSkills training initiatives, HKPC helps both industry and academia stay ahead in latest digital and STEM technologies, nurturing a future-ready talent pool for Hong Kong

For more information, please visit HKPC’s website: www.hkpc.org/en

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When Berkshire Hathaway starts putting more of its US$350b equity firepower to work, investors tend to pay attention. Fresh Q2 portfolio moves around Alphabet and other mega-cap U.S. technology growth stocks have put a spotlight on a small group of giants that are directly exposed to this shift. This article walks through three such stocks from our screener and explains why each could matter for your portfolio decisions right now.

The three mega-cap U.S. technology growth stocks highlighted below are just a sample, and the full screen surfaced 67 more large platform and cloud companies with equally compelling quantitative stories that are not covered here. To size up this broader opportunity set and identify your own highest conviction ideas, head straight into the Mega-cap U.S. technology growth stocks screener

Palo Alto Networks (PANW)

Palo Alto Networks is a US$291.7b mega-cap cybersecurity company that fits this screener by providing cloud, platform and AI-driven security tools that many large enterprises now treat as essential infrastructure. Almost all of its US$10.6b in revenue comes from security software and services, ranging from next generation firewalls and SASE to AI-powered operations platforms like Cortex

For investors looking at mega-cap tech, Palo Alto Networks offers an AI-focused cybersecurity platform with subscription-heavy revenues, long contract durations and strong free cash flow that many institutions view as a defensive growth story. The company is leaning into themes like AI security, Zero Trust and platform consolidation, yet faces real trade offs around its rich valuation, margin pressure compared with last year, and heavy competition. If you care about where security budgets and AI spending are converging, this is one stock you may not want to ignore just yet.

Palo Alto Networks keeps emphasizing its AI security story, yet many investors still view it as a simple firewall stock. Get the fuller picture with the 2 key rewards and 3 important warning signs and see what might be hiding in plain sight

NasdaqGS:PANW Revenue & Expenses Breakdown as at Aug 2026
NasdaqGS:PANW Revenue & Expenses Breakdown as at Aug 2026

Build your own AI security shortlist

Palo Alto Networks and the two other mega cap tech stocks in this article all came out of a single screener, but the real edge is in shaping filters around what matters most to you. Use our flexible Screener to blend valuation, growth, quality and risk checks, or tap into curated themes through our Investing Ideas

Workday (WDAY)

Workday is a US$48.7b enterprise cloud applications company that fits the mega cap tech growth theme by delivering subscription based HR, finance and planning software that large organisations use as mission critical infrastructure. Virtually all of its US$9.9b in revenue comes from cloud applications, with customers using Workday to manage core processes such as hiring, payroll, financial reporting, planning, and increasingly AI driven automation.

Investors watching Berkshire’s renewed tilt toward durable cloud and platform stocks may want Workday on their radar. The company is leaning hard into AI agents, data products and deeper Google Cloud ties. These initiatives could support higher contract values and stickier customer relationships, while margin work and cash generation appeal to long term holders. The flip side is a rich valuation, slower revenue growth forecasts than some software peers and intense competition from large incumbents and new AI first entrants, plus headline risk from ongoing Silver Lake buyout chatter. For investors seeking to understand whether Workday’s AI and cloud momentum can justify that premium and the interest from private equity, this is a story worth unpacking further.

Workday is leaning hard into AI driven automation and long term cloud contracts, yet many investors still treat it as just another software stock. Put that view to the test with the analyst forecasts for Workday and see what the revenue, earnings and price target forecasts might be hinting at below the surface

NasdaqGS:WDAY Earnings & Revenue Growth as at Aug 2026
NasdaqGS:WDAY Earnings & Revenue Growth as at Aug 2026

Shopify (SHOP)

Shopify is a US$189.4b commerce technology platform that fits this mega cap internet and cloud theme by running a global operating system for merchants rather than just hosting online stores. Almost all of its US$13.3b in revenue comes from internet software and services that help businesses manage products, payments, fulfillment and customer relationships across online and offline channels. For investors, that scale and focus on recurring software and payments income is what puts Shopify alongside larger U.S. platform stocks on this screener.

Investors watching Berkshire’s renewed interest in large platform stocks may want Shopify on the radar because it is quietly becoming the operating backbone for many online brands, not just a storefront builder. The company is leaning into AI tools, payments and merchant services that can deepen its role inside each business, yet the premium P/E multiple, recent margin compression and insider selling mean expectations are already high, and the risk of disappointment is real. If you care about where long term e commerce infrastructure and AI assisted commerce might concentrate, Shopify is a stock where the potential benefits and the warning signs both deserve a closer look before making a decision.

Shopify’s premium P/E and margin pressure have many investors cautious, yet its role as a commerce operating system keeps expanding. Get the analysis report for Shopify to see what the current numbers might be indicating

NasdaqGS:SHOP P/E Ratio as at Aug 2026
NasdaqGS:SHOP P/E Ratio as at Aug 2026

Seeking Fresh Alternatives Beyond Big Tech

Markets move fast and the most interesting stocks can shift from under the radar to fully priced while investors hesitate. Scan these fresh ideas before the crowd and act now

  • Spot income workhorses with yields that could help support your cash flow using the curated 12 dividend fortresses before others start chasing the same payouts.
  • Track early AI momentum where profits already matter by scanning the hand picked 76 profitable AI stocks that aren’t just burning cash while expectations around the theme are still resetting.
  • Position ahead of potential infrastructure spending shifts by reviewing the curated 39 power grid technology and infrastructure stocks while these stories are still mostly flying under the radar.

This article by Simply Wall St is general in nature. We provide commentary based on historical data
and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice.
It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your
financial situation. We aim to bring you long-term focused analysis driven by fundamental data.
Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material.
Simply Wall St has no position in any stocks mentioned.

Valuation is complex, but we’re here to simplify it

Discover if Workday might be undervalued or overvalued with our detailed analysis, featuring fair value estimates, potential risks, dividends, insider trades, and its financial condition

Access Free Analysis

Have feedback on this article? Concerned about the content? Get in touch with us directly.Alternatively, email editorial-team@simplywallst.com

MI
mitchell_lawler
The Foxhole
Gold miners still look inexpensive because the market thinks we're near the top of the cycle. Given what's happening to the dollar, I'm not so sure. cover
1615
ST
steve_investor1d

Is it a safer bet on gold to have just exposure to ETFs?

MA
marcus_l38oa1d

Between 2003 and 2011, gold nearly went 5x. Dollar went weak too. The gold companies did bad. It is worth noting that between 2003 and 2011, there was 2008! I will leave it your inference and research

About NasdaqGS:WDAY

Workday

Provides enterprise cloud applications in the United States and internationally

See The Free Research Report

Flawless balance sheet with solid track record

See The Free Research Report

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From views to value: YouTube’s metric shift challenges creator economics

YouTube is changing what a “view” means and the move could force advertisers, creators and agencies to rethink one of the most widely used metrics in the creator economy

Starting August 24, 2026, YouTube will standardise its public audience measurement across video formats, counting a playback as a view from the very first frame. The move builds on the change introduced for YouTube Shorts last year and is intended to create a common measurement baseline across long-form, Shorts and live content

YouTube updates public view count policy across all video formats

On paper, it sounds like a straightforward measurement upgrade. In practice, however, it raises a more complicated question for the advertising industry: does being counted as a view mean someone actually paid attention?

A view is not attention

ForSharath Dasari, Co-Founder and COO, Flutch, the new metric certainly makes YouTube views easier to interpret across formats, but advertisers should be careful about assigning too much value to the number

“On the surface, this makes YouTube views easier to understand because advertisers now have one consistent definition across formats. But I don’t think brands should suddenly start valuing a view the same way they value attention. A first frame tells us that the content was exposed, not necessarily that it was consumed.”

That distinction could have a direct impact on how brands evaluate creator campaigns. Instead of relying heavily on public view counts, advertisers are likely to put greater emphasis on engaged views, watch time, retention, completion rates and audience quality

“We are likely to see more weight given to engaged views, watch time, retention, completion rates and the quality of the audience when evaluating creator campaigns,” Dasari says. “Public views can remain an important top of funnel metric, but they should not become the sole basis for creator valuation.”

Kalyan Kumar, Co-founder and CEO, KlugKlugopines,“YouTube has basically confirmed what the data was already showing, a view is not a view, and public view count is now officially a reach number while engaged views tell you whether anyone actually cared, and these are two completely different things that brands have been treating as one for far too long.”

Shiv Shakti, Head Of Marketing, ALLENsaid, “From a brand’s perspective, raw views will become more of a scale and shortlisting metric rather than a direct measure of content performance. Earlier, a high view count itself could be a strong selection criterion for creators/channels.”

He further says with views now registering from the first frame, advertisers will need to look beyond public views and build benchmarks around engaged views, watch time, retention, completion rate, audience quality and conversions

For advertisers, then, the headline number may become easier to compare, but the underlying question remains much harder to answer: what did the viewer actually do after the first frame?

The first frame gets more valuable

The change could inevitably influence creative strategy. If a view is registered from the first frame, creators may have even greater incentive to make those opening moments compelling

Dasari believes that will matter, but it cannot replace storytelling

“From a creator perspective, stronger first frame hooks are definitely going to matter because earning that initial exposure becomes easier to measure.”

But he adds an important caveat: “But the creators who build sustainable value are still the ones who can hold attention after the first few seconds.”

His conclusion is that creators should not have to choose between a powerful hook and sustained engagement

“So, I don’t see this as a choice between hooks and retention. The best creators will optimise for both: a strong first frame to stop the scroll, and strong storytelling to make people stay.”

Vishal Prabhu, Creative Director – Strategy, White Rivers Media, similarly believes the change will not fundamentally alter how sophisticated advertisers evaluate creators

“I don’t think this fundamentally changes how serious advertisers in India evaluate creator partnerships because most brands and agencies already look beyond public view counts.”

Campaign decisions, he says, are already influenced by “audience retention, watch time, engagement quality, audience demographics and, increasingly, business outcomes.”

“What this update does change is what the public view count represents. Going forward, it becomes a stronger indicator of exposure than of attention.”

Prabhu sees that as a potentially positive development because it could push the industry further away from vanity metrics

“In many ways, that’s a positive shift. It nudges the industry away from celebrating vanity metrics and towards evaluating the quality of attention. Ultimately, advertisers don’t invest in views. They invest in influence, and influence has always been measured much deeper than a public number.”

Creators already know the value of the hook

The debate around first-frame hooks is not entirely new. Short-form content has already trained creators to compete aggressively for attention in the opening seconds

Prabhu does not expect creators to suddenly reinvent their strategies simply because of YouTube’s metric change

“Strong openings have already become part of the language of digital content, especially with the rise of short-form video. I don’t think creators will suddenly start chasing hooks because they’ve been doing that for some time.”

What remains critical is what happens next

“The opening earns attention, but the rest of the content determines whether people stay, remember the message and take action. That’s what brands ultimately care about.”

He believes the new system could actually make the distinction between reach and engagement clearer

“Public views will indicate how many people the content reached, while retention and engaged views will increasingly define creator quality during brand conversations. The creators who consistently deliver both will continue to command the strongest commercial value.”

Kumar comments, “Retention is what actually builds an audience. Hooks get people to stop scrolling for two seconds, that’s not influence, that’s interruption. Brands should understand this and brief creators accordingly otherwise they will keep chasing a number that means very little now.”

Three metrics, three different questions

ForAbhilash Singh, Chief Revenue Officer, Socioclout, the industry needs to become smarter about interpreting views rather than simply celebrating larger numbers

“While this move is a strategic placement from the platform’s perspective, being in the creator ecosystem, I feel it’s equally important for us as marketers to become smarter about how we look at views.”

Counting a view from the first frame can be useful if the objective is to understand exposure. But, he stresses, exposure and attention are fundamentally different

“If we want to understand how many people were exposed to a piece of content, counting a view from the first frame can help. But exposure and attention are two very different things.”

And while creators may put even more emphasis on their opening seconds, Singh says a hook has limits

“Yes, creators will probably put even more focus on the first few seconds. But in reality, a good hook can make someone stop, it cannot guarantee that they will pay attention.”

The metrics that follow therefore become critical

“The real question is Did the viewer stay? Did they engage? Did they eventually take an action?”

Singh reduces the equation to three simple measures: “Views tell you how many people you reached.  Retention tells you how many actually cared.  Conversions tell you whether it worked.”

For advertisers, he believes all three need to be considered together rather than allowing the biggest view count to determine campaign value. “Because one can only truly understand the impact of a campaign when you step back and look at the larger picture,” he says

For Shakti, the content strategy will still work in two stages: First frame/thumbnail/title → Earn the view Content quality → Earn the attention Retention & engagement → Prove the value. “The metric change may not fundamentally change how creators design the first frame, but it could increase the temptation to use clickbait to maximize initial views. In the long run, advertisers and platforms will still rely on engaged views, watch time, retention, and overall audience quality to determine whether those initial views actually translated into meaningful consumption,” he says.

From eyeballs to resonance

Juhi Seernani, Senior PR Associate, Opraah, believes the change will push advertisers to draw a sharper line between reach and resonance

“Advertisers will increasingly have to decouple reach from resonance when evaluating creator campaigns.”

She acknowledges the value of a standardised view metric, particularly because it creates a consistent baseline across long-form, YouTube Shorts and live content. But an initial view should not automatically be interpreted as engagement or influence

“I expect brands to continue using public views as a TOFU indicator while placing greater emphasis on retention, average view duration, engaged views, interactions and conversions when assessing the actual efficacy of a campaign.”

That could ultimately make creator valuation more sophisticated

“Rather than a simplistic ‘n number of views equal n value’ approach, advertisers will need to examine the quality of those views and the depth of attention they generate.”

For Seernani, the commercial value of a creator lies beyond the sheer number of eyeballs

“In the creator economy, the commercial value isn’t merely the quantum of eyeballs, but the credibility and influence a creator has within those eyeballs.”

The hook may win the view. The story has to win the audience

Seernani expects greater emphasis on the first frame because creators naturally respond to the metrics that platforms make most visible

“There will inevitably be greater emphasis on the first frame and opening seconds for a ‘Hook’ because creators are highly responsive to the metrics that are made most visible.”

But she does not expect sophisticated creators to sacrifice retention simply to engineer an initial view

“The first frame can earn you the impression; the subsequent frames have to earn the audience’s attention.”

Long-term retention, watch time and repeat viewership, she says, will remain better indicators of whether content has actually resonated

“If anything, this change reinforces the distinction between visibility and meaningful engagement. Creators will become more intentional about hooks, but the ones building sustainable audiences will continue to optimise them for narrative depth and sustained attention.”

That distinction will also matter to brands evaluating creators

“For brands, that distinction will be equally important when evaluating whether a creator can just merely generate exposure or actually influence the consumers behaviour.”

Lastly, Shakti sums it up by saying, “The first view may become easier to earn, but meaningful attention will remain difficult to earn and that is where the real value will continue to lie.” 

A bigger number, but a more nuanced measurement game

YouTube’s move may make its public view count cleaner, more consistent and easier to compare across formats. But it could also expose the limitations of treating a single number as a proxy for audience attention

For creators, the first frame could become even more strategically important. For advertisers, however, the real work begins after that first frame

The industry may increasingly operate with a hierarchy of metrics: views for exposure, retention for attention, engagement for interest and conversions for impact

That could ultimately be a healthier direction for the creator economy. Instead of asking simply “How many views did it get?”, brands may increasingly ask “How valuable were those views?”

As Dasari puts it, the fundamental question remains unchanged: “Did people just see the content, or did it actually make them pay attention?”

In the new YouTube measurement era, getting counted may happen in the first frame. Earning attention will still take everything that comes after it

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exclusives20-Aug-2026Rohin RameshVishal PrabhuAbhilash SinghJuhi SeernaniSharath Dasari

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A person types on a laptop keyboard, with code visible on the screen. — AFP/File
A person types on a laptop keyboard, with code visible on the screen. — AFP/File

LAHORE: Pakistan’s unemployment rate remains above 7.0 per cent, with nearly six million young people unemployed. Amid these conditions, growth in the industrial and services sectors is insufficient to generate enough jobs, making freelancing one of the most te to the economy

Talking to The News, Chairperson of the Pakistan Freelancers Association (Pafla) Ibrahim Amin said young people and students could build successful careers and develop income streams by offering their services through professional networking sites and freelancing platforms emerging around the world

He said an individual could start earning in dollars within six to eight months of acquiring in-demand technical and soft skills, provided they remained dedicated and put in sustained effort. Freelancers could continue to grow their careers by upgrading their skills and knowledge. Those with an IT background could enter the freelancing market even earlier and start earning as soon as they secured their first client, he added.

With proper strategy and planning, stakeholders could train 1 million freelancers within a year and help them enter the global freelancing and gig economy, which has expanded steadily since the Covid-19 pandemic, Amin said

At present, Pakistan has nearly three million full-time and part-time freelancers, making it home to the world’s fourth-largest freelancer population, according to market estimates. In the outgoing financial year, the freelancing community brought $1.76 billion in foreign exchange into the country, according to official data, outpacing many industries in terms of export receipts despite challenges including internet disruptions and electricity load-shedding.

Amin forecast that Pakistani freelancers earned more than $175 million in July, marking an increase from the preceding month and the same month a year earlier. He said the growth trend could lift annual inflows from freelancers’ earnings to $2.5 billion, provided Pakistani freelancers remained active

Highlighting the challenges facing the sector, he said the emergence of artificial intelligence (AI) is eliminating some tasks and assignments traditionally performed by freelancers. At the same time, AI tools and applications were creating opportunities for new digital workers to acquire AI-related skills and develop alternative

He said the working environment and opportunities for freelancers in Pakistan are gradually improving. The planned launch of 5G services, the establishment of e-Rozgar centres and the growing number of private workspaces can help freelancers improve productivity and strengthen their presence on global marketplaces

Amin said the government is also playing an increasingly important role in facilitating freelancers by improving access to banking services and supporting skills development programmes for aspiring digital workers. Several non-governmental organisations were also providing training in IT, creative fields and e-commerce to a sizeable number of people, he added

He recommended that the government, NGOs, industry stakeholders and a representative freelancers’ association establish a common platform to formulate a national strategy and set long-term goals for developing Pakistan’s freelancing ecosystem while addressing challenges faced by digital workers

A significant number of freelancers in Pakistan continue to face payment-related issues. Pakistani freelancers also lack communication and business development skills needed to attract foreign clients and secure higher-paying assignments, he said

Amin said Pafla is working to bring stakeholders together on a single platform to address issues faced by freelancers and equip them with the skills and knowledge, including financial literacy and access to financial services, needed to build companies rather than remain solo freelancers in the long term

The association is also working to recognise freelancers’ services at the Governor House in Karachi on August 29 for their contribution as the “unsung heroes” of Pakistan

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Key takeaways

  • Ways to make money using AI include starting a career in artificial intelligence (AI), using AI to offer creative services, and monetizing AI-generated content

  • People are using AI to make money by working in the field as an AI engineer or researcher, data engineer, AI product manager, or data scientist

  • You can also make money online using AI by investing in AI-related companies, creating online courses with AI, or becoming an AI consultant

You can make money using AI tools by offering services to build websites, offer social media marketing, and write ebooks. Discover ways to use AI to make an income, from exploring professional fields in artificial intelligence and creating monetizable content to using AI for smarter financial decisions and investment advice

If you want to build career-ready skills, consider enrolling in the IBM Business Intelligence (BI) Analyst Professional Certificate. In as little as four months, you’ll have the opportunity to learn how to identify trends, create visualizations, and build dashboards as you analyze data. Upon completion, you’ll have earned a shareable career credential for your resume or LinkedIn profile

Can I use AI to make money?

Yes, you can use AI to make money in several different ways. You can start a career working in the field of artificial intelligence, you can monetize creative work you generate using AI, and you can start a business offering AI-creation services to others. Considering all of the ways you can enrich yourself using AI, it’s helpful to consider first what AI can do

What can AI do?

Foundational AI models are multipurpose models that can understand human language, process large data sets, understand visual information, and more. These broad capabilities extend to a wide range of specific tasks. For example, you can use large language models like GPT, Gemini, or Claude to generate text, images, video, audio, or code

While these foundational models excel at many tasks, you can also use them to create applications that focus on a smaller range of activities with higher accuracy. Training a foundational model in one task, such as customer service or writing blog posts, is a faster and less expensive way to create a specialized AI

To give you an idea of the breadth of tasks AI models can accomplish, a few of the things you can do with AI include:

  • Reading and summarizing documents

  • Analyzing and writing text

  • Translating texts

  • Understanding and creating images

  • Editing images

  • Performing data extraction and data analytics

  • Recognizing faces

  • Analyzing sound

  • Creating audio or spoken text

  • Transcribing or summarizing a meeting

  • Playing games

  • Generating code

Is it legal to make money with AI? Who owns AI content?

Yes, it is legal for you to make money with AI, even if the AI model was the sole creator of the content. The US Copyright Office issues guidelines stating that creative content created by AI is in the public domain, which means that no one holds, or is eligible to hold, a copyright. The department leaves a gray area where, if you contribute significantly to the creative work, you can protect your contributions under copyright law. For example, imagine that you ask an AI model to generate an image for you, and then you recreate that image as an oil painting. You can’t copyright the image because AI created the image. However, you can copyright your artwork that resulted from the AI-generated content because your creative contribution earns you that right.

How to make money using AI

You can use AI to leverage your skills and talents for a lucrative side job or full-time career. You can start a career working directly with AI, or use AI to generate content and knowledge work that you can sell to clients, or monetize in other ways. Discover ideas and insights on how to make money with AI

Start a career in AI

Starting a career in AI, such as an AI engineer, researcher, or prompt engineer, is a strategy you can use to continue making money with AI in the future, no matter how the technology grows and changes. You can review the job skills you need with a program like the IBM AI Engineering Professional Certificate and pursue work in a professional field, helping to shape and adapt AI technology. A few careers you might consider, plus their median total salary in the United States, include:

  • Machine learning engineer:$164,000

  • Robotics engineer: $145,000

  • Natural language processing engineer: $112,000

  • AI engineer: $145,000

  • AI researcher: $132,000

  • Data engineer: $134,000

  • AI product manager:$199,000

  • Data scientist:$157,000

All salary information represents the median total pay from Glassdoor as of August 2026. These figures include base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation

Use AI to offer creative services

You can leverage the generative power of AI to start a career offering freelance creative services. For example, you could offer a service to create websites and use AI to generate the first draft of your design quickly. Unless you advertise your service as AI-generated, you’ll need the skills to oversee the AI’s work and ensure you provide your clients with quality work. However, using AI can make the process faster and easier, helping you complete more work and earn more money. You can also use AI to help manage the administrative side of your freelance business.

Some ideas for using AI to offer creative services include:

  • Building websites

  • Writing blog posts or website copy

  • Marketing services

  • Social media marketing

  • Writing email copy or landing pages

  • Writing ebooks

  • Creating product descriptions

  • Graphic design or art services

  • Translation or localization services

Make money with AI-generated content

Another way of making money with AI-generated content is to monetize it in ways other than selling it directly to your client as you would in a freelance role. For example, you can use AI to generate videos for YouTube, which you can then monetize through the YouTube platform or use to sell products with affiliate marketing. Ideas for creating a revenue stream using AI include:

  • Creating YouTube videos and monetizing engagement

  • Using AI art to create physical products like prints, T-shirts, or mugs

  • Using video or written content for affiliate marketing

  • Using content to generate advertising revenue

Make money investing with AI

Another way to use AI to make money is to invest in AI-related companies or use AI analysis to determine which market to make a move in. You can ask AI to help you learn about investing or to give you advice about how to navigate your specific financial needs. You can also use a financial management app with a robo-advisor to receive personalized advice on meeting your financial goals

Create online courses with AI

You can use generative AI to create the materials you need for an online course and then sell that course to users. If you have expertise outside of creative services, like writing or designing, AI can help you fill the gaps you need to create content in whatever area you’re an expert. You can upload your files, like papers, documents, websites, or videos, and the AI model can help you convert them into a course with assessments and structure.

Become an AI consultant

Finally, you can make money with AI by becoming a consultant. You could help companies or individuals find ways to use AI to improve efficiency, meet organizational goals, and earn more money. For example, you could teach sales professionals how to integrate AI into the customer relationship management (CRM) process. If you have the skills to work with AI, you can share this knowledge with companies in a consultancy role and teach them concrete ways to improve their business processes with artificial intelligence.

How can I start earning with AI?

To start earning money with AI, develop AI skills in automation and prompt engineering and soft skills like creativity, empathy, and adaptability. Then, start using large language models like ChatGPT, Gemini, and Claude to understand the different ways you can use the models to launch a career

Learn more about AI with free resources

Keep learning by subscribing to Career Chat, where you can access industry insights and career tips. Explore these free re

  • Learn from an expert:The AI Advantage: 9 Questions with UC Davis AI Instructor Sadie St. Lawrence

  • Bookmark this page:Artificial Intelligence (AI) Terms & Definitions

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Keep reading

  • Product Manager: Role, Tasks, and How to Become One
    November 4, 2025
  • What Is an AI Research Scientist? 2026 Career Guide
    July 9, 2026
  • 20 Examples of Generative AI Applications Across Industries
    March 24, 2026
  • How to Get a Job in AI Without a Degree
    June 15, 2026
  • 11 Side Hustles from Home and How to Get Started
    November 24, 2025
  • How to Learn Artificial Intelligence: A Beginner’s Guide
    March 14, 2026

Updated on Aug 19, 2026
Written by:

Coursera Staff

Editorial Team

Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact

This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals

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Moonshot AI’s Kimi K3 model has shown inference capabilities on domestic chips. Photo: AFP

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Published: 8:30pm, 20 Aug 2026

Chinese AI companies are optimising software to cope with surging demand for inference, as part of that workload still relies on computing power from a limited pool of high-end chips amid restricted access to Nvidia processors

Compared with training an artificial intelligence model, which relies on high-end chips, inference – a later phase in which the trained model applies its knowledge to process responses – can be adapted to domestic hardware. However, industry insiders said complex tasks like coding still required Nvidia chips, which meant the sector was facing acute compute constraints as AI moved from model development to large-scale deployment.

“The demand side is now showing a bipolarisation,” said Guan Jiawei, vice-president of inference optimisation start-up Approaching.AI, noting that demand for high-quality tokens – the basic units of data that models process and generate – far outstripped supply

High-tier tasks required stringent performance metrics that domestic processors could not yet reliably deliver, Guan said, adding that advanced Chinese models “place high demands on chips … especially in scenarios like coding, where users are willing to pay a premium”

“If we rely solely on domestic chips for inference, they can only handle the low-quality tier – the tier with weak demand and weak monetisation,” Guan said. “That makes it very hard to find a pend on Nvidia.”

Skyrocketing token usage, as AI turns more agentic – performing real-world tasks rather than just answering questions – has exacerbated the compute squeeze. China’s average daily token calls exceeded 140 trillion in March, up more than 1,000-fold from the beginning of 2024, according to the National Data Administration

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WhatsApp Web: How to Log In, Scan the QR Code & Use It

WhatsApp Web added a phone-number login in February 2026 and rolled out native voice and video calling to browsers then, with group calls up to 32 participants expected by mid-2026; multi-device mode is now default for up to five linked devices and inactive web sessions auto-logout after 14 days. Messages remain end-to-end encrypted using the Signal Protocol and Curve25519 keys, preserving security for crypto-related communications and boosting adoption, though leaving sessions open on shared computers remains the main practical risk.

WhatsApp Web is the official browser version of WhatsApp, letting you send and receive messages, calls, and files from a computer by linking it to your phone’s WhatsApp account. There’s no separate account to create — you open web.whatsapp.com, scan a QR code with your phone, and your chats load directly in the browser. This guide covers exactly how to log in on desktop or mobile browsers, what’s changed in 2026 (including new voice and video calling), how to fix the most common login problems, and how the encryption protecting your messages actually works under the hood.

  • WhatsApp Web works by linking a browser session to your phone’s WhatsApp account — there’s no separate password or account setup involved.
  • Login normally happens via QR code scan, but a phone-number login option was added in February 2026 as an alternative for shared screens or when a phone camera isn’t working.
  • Multi-device mode is enabled by default for all users since 2024, meaning your computer can send and receive messages even when your phone is offline, for up to five linked devices total.
  • Voice and video calling rolled out to WhatsApp Web beta users starting February 2026, with group calling for up to 32 participants following by mid-2026.
  • WhatsApp Web messages are end-to-end encrypted using the Signal Protocol, the same encryption system used across the WhatsApp mobile app.
  1. Open a browser on your computer and go to web.whatsapp.com. A QR code appears on screen.
  2. On your phone, open WhatsApp and tap Settings (iPhone) or the three-dot menu (Android), then tap Linked Devices.
  3. Tap Link a Device. Your phone’s camera opens.
  4. Point your phone’s camera at the QR code on your computer screen until it scans.
  5. Your chats load automatically in the browser, and you can start messaging right away.

The QR code refreshes automatically roughly every 20 seconds if it isn’t scanned, so if the page sits open too long, just click the refresh icon and scan the new code

As of February 2026, WhatsApp Web also supports logging in without scanning a QR code — useful if your phone’s camera isn’t working, or you’re on a shared screen where holding up a phone to scan feels awkward. Go to web.whatsapp.com, and below the QR code, click Link with phone number, then follow the on-screen prompts to enter your number and confirm the code sent to your phone

Voice and video calling. Starting in February 2026, Meta began rolling out native one-to-one voice and video calling to WhatsApp Web — a feature the separate WhatsApp Desktop app has had since 2017 but the browser version lacked until now. Group calling for up to 32 participants followed by mid-2026. If you don’t see a call icon in your chats yet, it may still be rolling out to your account, and the WhatsApp Desktop app remains a reliable fallback in the meantime.

Phone-number login. The QR code is no longer the only way in — see the phone-number method above

Multi-device by default. Multi-device mode, which lets WhatsApp Web keep working even when your phone is powered off, is now automatic for every account rather than an optional setting you had to turn on

WhatsApp Web runs entirely in your browser at web.whatsapp.com, while WhatsApp Desktop is a separate downloadable app for Windows and Mac. Functionally the two have converged significantly in 2026 — both now support calling — but the desktop app tends to receive certain features first and can offer more reliable notifications on some systems. WhatsApp Web’s main advantage is that it requires no installation and works on any computer you don’t own or control, like a work or library machine.

If you use the separate WhatsApp Business app, it has its own web version at the same address, web.whatsapp.com, with an identical QR-code login process. WhatsApp Business Web adds features not available in the personal version: quick reply templates (type “/” to access pre-saved responses to common questions) and color-coded labels for organizing customer conversations by status

QR code won’t scan. Clean your phone’s camera lens, raise your screen brightness, hold the phone steady about 8–10 inches from the screen, or refresh the page to generate a new code and try again

Session logged out unexpectedly. If your phone goes unused for more than 14 days, WhatsApp automatically logs out any linked web sessions as a security precaution — this isn’t a bug, it’s designed to prevent an abandoned session from staying open indefinitely if a phone is lost or set aside

Unrecognized device in your Linked Devices list. Open Linked Devices on your phone and remove anything you don’t recognize immediately. This list is your first line of defense against someone else accessing your account through a browser you didn’t authorize

WhatsApp Web messages are protected by the Signal Protocol, the same end-to-end encryption system used throughout WhatsApp’s mobile app — it’s widely regarded as one of the strongest messaging encryption standards in general use. When you scan the QR code to link a device, your phone and browser establish a unique set of cryptographic keys using the Curve25519 elliptic curve, part of the key exchange that makes end-to-end encryption possible. In practice, this means WhatsApp’s own servers only ever handle encrypted data — they route messages between your linked devices but can’t read their contents, and neither can anyone intercepting the connection between your browser and phone. The practical security risk with WhatsApp Web isn’t the encryption itself; it’s leaving a session logged in on a shared or public computer, which is why checking your Linked Devices list periodically and logging out properly (not just closing the tab) matters more than the underlying cryptography.

This article is for informational purposes only

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Make AI Automation Raise the Floor – You Raise the Ceiling
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John Kahn, chief transformation officer at Digitas USA, on why the real competitive advantage is knowing where to reinvest the value automation creates

Image credit: Fernand De Canne

AI automation is doing exactly what it promised advertising it would do. Timelines are shrinking. Best practices are baked into development. Production is scaling. McKinsey estimates that generative AI can unlock 20–30% productivity gains across marketing and creative operations, primarily by automating repeatable, executional work. The floor is rising.  

That’s a good thing; but it’s also where many organisations get stuck. 

When everyone has similar tools — trained on the same data, optimising toward the same KPIs — efficiency becomes the baseline. Automation raises the floor for the entire industry. Advantage only returns when someone decides to raise the ceiling. 

The question was never whether to automate — that decision has already been made. The real question is what we do with the value automation creates. 

Let Automation Do What It Does Best: Raise the Floor

AI earns its place by taking weight off the system. It excels at researching, reporting, versioning, optimisation, and execution at scale. It handles the repeatable, the measurable, and the rules‑based. Gartner research shows marketers still spend roughly 30–40% of their time on administrative and executional tasks — exactly where automation performs best. This is where AI belongs. 

The mistake isn’t automation. The mistake is stopping there — treating efficiency as the outcome rather than the input. Speed and cost savings are not the strategy. They should be treated as fuel. 

The strategic question is this: where do you reinvest the efficiency AI creates?  

Reinvest Efficiency Into What Actually Builds Brands 

If automation is lowering costs without changing ambition, it’s simply margin management. The opportunity is bigger. Efficiency gains from AI should be deliberately reinvested into brand building and breakthrough consumer experiences — the things that compound over time and create meaning, memory, and differentiation. 

This means more investment in original ideas. More space for craft. More attention to experience design. More room to think beyond the next click and toward long‑term brand impact. 

Automation can give time, money, and capacity back to organisations. The brands that win will be the ones that spend that surplus not on doing the same work cheaper but on doing braver work better. Raising the floor only matters if it funds a higher ceiling. 

What Machines Can’t Do (and Why That’s the Point) 

AI can optimise patterns. It cannot define meaning. It doesn’t have taste: the cultural instinct to know what feels relevant right now. It doesn’t have empathy: the ability to understand human tension, emotion, and context. And it doesn’t have conviction: the courage to go against the optimisation engine when the data says “safe” but the brand needs “distinct.” 

These are the qualities machines struggle to produce precisely because they are trained to converge.  

This matters because real creativity remains the single biggest driver of marketing effectiveness. Nielsen consistently finds that creative accounts for more than 50% of a campaign’s sales impact, outweighing targeting, reach, and frequency. This is where humans raise the ceiling. 

AI Lets Us Try More and Fail Faster 

There’s a second, often overlooked benefit of automation: it fundamentally changes the risk equation. When production costs drop and iteration becomes cheap, experimentation scales. AI allows teams to test more ideas, explore more creative territories, and learn faster. Failure becomes less expensive, and therefore more valuable. This is how moonshots happen. 

BCG research shows organisations that pair AI adoption with strong change management are up to twice as likely to generate measurable business impact, in large part because they use AI to accelerate learning, not just efficiency. Automation creates optionality. Optionality creates ambition. 

The Ceiling Only Rises When Humans Build It 

Automation will continue to raise the floor — eliminating inefficiency, accelerating production, and scaling what works. But it doesn’t raise the ceiling. 

That still belongs to humans: to taste, to empathy, to judgment. And to the willingness to pursue ideas that have not yet been proven. The agencies and brands that win won’t be the ones that automate the most. They’ll be the ones that know what to give the machine, what to protect for humans, and where to reinvest the value created. Because while AI can make you faster, only people can make you unforgettable. 

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Wasiu Akeem Oluwaferanmi Named Among Nigeria’s Rising No-Code Developers and CRM Automation Specialists

A Lagos-based no-code developer and CRM automation specialist has spent four years helping small businesses replace manual processes with automated systems across HubSpot, Zapier, Zoho, and GoHighLevel

Springfield, Ohio Aug 18, 2026 (Issuewire.com)  – Wasiu Akeem Oluwaferanmi, a Nigerian no-code developer and CRM automation specialist, has spent the past four years building automated systems that help small businesses replace manual, error-prone processes with software that runs on its own

Working under his brandGrowthguru Digital Hub, Oluwaferanmi specializes in CRM setup and automation across platforms including HubSpot, Zapier, Zoho, Dubsado, GoHighLevel, Notion, Make, and HoneyBook — a toolkit that spans lead capture, client onboarding, scheduling, and follow-up

“Most business owners don’t want a complicated new tool to learn,” Oluwaferanmi explains. “They want their existing chaos to disappear.” That philosophy shapes his approach: rather than dropping a rigid, off-the-shelf system into a business, he studies how the business actually operates first, then builds automation around it

Real Systems, Real Businesses

Oluwaferanmi’s automation work includes a HoneyBook smart file and workflow system built for an event planning business, covering everything from first client inquiry to signed contract — a project that drew strong client ratings and feedback. For a real estate client, he built a full GoHighLevel automation system handling lead allocation, credit-based nurture sequences, and appointment intake notifications, so no lead goes untouched waiting on a manual follow-up.

For a digital agency, he built a Notion-based operations workspace where new leads, client signups, and meeting schedules flow in automatically — fed by a Google Form connected through Make, replacing what used to be manual data entry across multiple tools

A Focus on No-Code Systems

As a no-code developer, Oluwaferanmi builds functional business systems without requiring clients to hire a full development team — a route he sees as increasingly relevant for small businesses in Nigeria and beyond that need working software fast, without enterprise-level budgets. His work sits at the intersection of CRM automation, workflow design, and light development, letting him move fluidly between marketing systems,CRM platforms, and web infrastructure as pieces of one connected system rather than separate disciplines.

About Wasiu Akeem Oluwaferanmi

Wasiu Akeem Oluwaferanmi is a Nigeria-based no-code developer and CRM automation specialist with over four years of experience helping businesses automate manual operations. He operates Growthguru Digital Hub, offering CRM automation, workflow design, andno-code development services

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Media Contact:Wasiu Akeem Oluwaferanmi Growthguru Digital Hub  Lagos, Nigeria

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Categories : Business , Publishing , Software , Technology
Tags : no-code developer , CRM automation , GoHighLevel , HubSpot , Zapier , Zoho , Notion , Nigeria tech , wasiu CRM Expert , Wasiu no-code developer
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+229 01 66 68 11 60

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