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IDC Predicts Artificial Intelligence to Contribute $19.9 Trillion to the Global Economy through 2030

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New research from IDC entitled, The Global Impact of Artificial Intelligence on the Economy and Jobs, predicts that business spending to adopt artificial intelligence (AI), to use AI in existing business operations, and to deliver better products/services to business and consumer customers will have a cumulative global economic impact of $19.9 trillion through 2030 and drive 3.5% of global GDP in 2030.

As a result, AI will affect jobs across every region of the world, impacting industries like contact center operations, translation, accounting, and machinery inspection. Helping to trigger this shift are business leaders who almost unanimously, 98%, view AI as a priority for their organizations.

AI’s Net Positive Global Economic Impact

According to the research, in 2030, every new dollar spent on business-related AI solutions and services will generate $4.60 into the global economy, in terms of indirect and induced effects. This is determined by:

  • Increased spending on AI solutions and services driven by accelerated AI adoption
  • Economic stimulus among AI adopters, seeing benefits in terms of increased production and new revenue streams
  • Impact along the whole AI providers supply chain, increasing revenue for the providers of essential supplies to AI solutions and services providers

“In 2024, AI entered a phase of accelerated development and deployment defined by widespread integration that’s led to a surge in enterprise investments aimed at significantly optimizing operational costs and timelines,” said Lapo Fioretti, Senior Research Analyst, Emerging Technologies and Macroeconomics, IDC. “By automating routine tasks and unlocking new efficiencies, AI will have profound economic consequences, reshaping industries, creating new markets, and altering the competitive landscape.”

Impact on Employment — New Roles Emerge While Others Remain Resilient

The majority of respondents to IDC’s Future of Work Employees Survey expect some (48%) or most (15%) parts of their work to be automated by AI and other tech over the next two years, while only a minority (3%) of employees expect their jobs to be fully automated by AI.

While some work will be negatively impacted by the proliferation of AI, new positions such as AI Ethics Specialists and AI Prompt Engineers will emerge as dedicated roles within global organizations.

The research further indicates that a ‘human touch intensity,’ combined with the level of ‘task repetitiveness’ by which each job is characterized, will inform organizations about roles that are subject to a full AI and automation replacement, versus those where tech’s role will be to augment human capabilities. As such, positions where human social and emotional capabilities are critical, such as nursing and roles where decision-making encompasses ethics and comprehension beyond numbers will remain robust.

“Understandably, we’re all curious to know if AI will replace our jobs,” said Rick Villars, Group Vice President, Worldwide Research, IDC. “As a CEO interviewed by IDC’s Andrea Siviero said, ‘Based on this research it’s clear that we should be asking ourselves how our jobs can be made easier and better by AI. AI will not replace your job but someone who knows how to use AI better than you will.’”

Research Methodology

To estimate the overall economic impact of a technology or a service, IDC developed an economic impact methodology that combines IDC knowledge of the market and internal data with a standard analytical framework, known as an Economic Impact Analysis.

It leverages an input-output (I/O) framework, using the most updated input-output official tables of a specific economy: through I/O tables, specific multipliers are determined and applied to the specific technologies to calculate the related effect.

This IDC Economic Impact Analysis evaluates three types of impact on the economy. In this AI-specific model, these are:

Direct Effect — Includes revenues from artificial intelligence business solutions/services providers directly selling their products to end users.

Indirect Effect — Refers to the economic impact related to the AI supply chain and AI adopters’ benefits. It includes the effects that organizations/tech providers have on the region or country due to their operations related to AI provision.

Backward indirect effects refer to the economic effects on supply chains and industries that provide inputs to AI-driven sectors — in other words, revenues generated in local industries impacted by AI.

Forward indirect effects refer to the effects on AI adopters, excluding consumers, that benefit from the adoption of AI technology, in terms of productivity, revenue growth, and other business parameters.

Induced Effect — These are effects induced by the increase in production. It refers to the impact, due to economic stimulus, from an increase in household income, including existing and new employees linked to the AI value chain across direct and indirect effects layers. People will spend part of their wages in the economy, thus generating additional economic impact.

“The importance of economic impact models is increasing. This type of analysis can be of importance for any vendor who wants to understand the impact of its specific products or services in a short or medium-term period.

“It helps not only businesses but also governments and other stakeholders make informed decisions by evaluating the potential benefits of a technology investment, for example, to the economy,” said Carla La Croce, Research Manager, Data and Analytics, IDC.

The IDC report, The Global Impact of Artificial Intelligence on the Economy and Jobs: AI will Steer 3.5% of GDP in 2030 (Doc #US51057924), assesses the impact of artificial intelligence in terms of economic output and employment.

This assessment leverages IDC’s knowledge of the market and internal data, as well as IDC’s Economic Impact model, which considers the direct, indirect, and induced effects of AI in the economy.

“The study delves into the global impact of AI on the economy, diving deep into specific regions, technology layers, and industries. The goal is to assess AI’s cumulative contributions to the economy with respect to the forecast global GDP in 2030.

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E-Business

Kaspersky Identifies Ongoing Supply Chain Attack on Official Daemon Tools Website Distributing Backdoor Malware

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Kaspersky’s Global Research and Analysis Team (GReAT) discovered an active supply chain attack targeting the official website of Daemon Tools, a widely used virtual drive emulation software.

The compromised installer delivers malicious software alongside the legitimate application, granting threat actors the ability to execute arbitrary commands and remotely control infected devices.

During a recent telemetry study, researchers identified that threat actors have actively distributed the modified software directly through the vendor’s primary domain since April 8, 2026, successfully concealing the malware with a valid developer digital certificate.

The malicious injection affects Daemon Tools version 12.5.0.2421 up through the current release. Kaspersky has notified AVB Disc Soft, the developer of Daemon Tools, so that remediation actions can be taken.

Because disk emulation software requires low-level system access to function properly, users routinely grant the application elevated administrative privileges during installation. This mechanism allows the embedded malware to secure a deep foothold within the host operating system, severely compromising device integrity.

Specifically, attackers tampered with legitimate application binaries to execute malicious code at process startup and leveraged a legitimate Windows service to maintain persistence on the host.

Kaspersky telemetry indicates a widespread, global distribution of the compromised updates across more than 100 countries and territories. The majority of victims are located in Russia, Brazil, Türkiye, Spain, Germany, France, Italy, and China.

The analysis shows that 10% of the affected systems belong to businesses and organisations. While Daemon Tools is heavily adopted by consumers, its presence in corporate environments exposes enterprise networks to severe downstream risks.

On a small subset of just over ten machines — belonging to organisations in the retail, scientific, government, and manufacturing sectors — Kaspersky GReAT observed attackers manually deploying additional payloads, including a shellcode injector and previously unknown Remote Access Trojans (RATs).

The narrow industry profile of these victims, combined with typos and inconsistencies in the executed commands, indicates that the follow-on activity is conducted hands-on against specifically chosen targets.

While researchers identified Chinese-language artifacts within the malicious implants, the campaign is not currently attributed to any known threat actor.

“A compromise of this nature bypasses traditional perimeter defences because users implicitly trust digitally signed software downloaded directly from an official vendor,” said Georgy Kucherin, senior security researcher at Kaspersky GReAT. “Because of that, the Daemon Tools attack has gone unnoticed for about a month.

This period of time, in turn, indicates that the threat actor behind this attack is sophisticated and has advanced offensive capabilities. Given the high complexity of the compromise, it is thus of paramount importance for organisations to isolate machines having Daemon Tools software installed, as well as to conduct security sweeps to prevent further spreading of malicious activities inside corporate networks.”

Kaspersky actively detects and blocks the execution of the compromised installers. Researchers advise organisations to audit their networks for the presence of Daemon Tools Lite, isolate affected endpoints, and monitor for unauthorised command execution or lateral movement. Individual users should promptly uninstall the compromised application and run a thorough system scan to clear any persistent threats.

In March 2026, a Kaspersky study found supply chain attacks were the most common cyberthreat businesses faced over the prior 12 months, yet only 9% of organisations ranked them as a top concern.

 


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Kled AI, US Data Firm Blocks Nigeria over High ‘Fraudulent Activity’

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Kled AI, US-based developer, has announced the removal of its application from the Nigerian app store, alongside an IP restriction affecting the region, citing what it described as an “unmanageable level of fraudulent activity” on the platform.

Kled AI, US Data Firm Blocks Nigeria over High ‘Fraudulent Activity’

Kled is a data marketplace that rewards users for uploading photos, videos, and other multimodal content.

Avi Patel, 22-year-old founder, in his X handle, said the decision followed months of internal review, during which the startup found that a large share of uploads from Nigeria, including images, documents, and videos meant for AI training, were fake, duplicated, or generated by artificial intelligence.

Kled operates what it describes as an opt-in data marketplace, where users voluntarily upload personal content in exchange for payment, with the material later sold to AI labs for training models.

The startup said it has paid hundreds of thousands of users globally and processed over one billion data assets within four months of launch.

However, Patel said Nigeria stood out negatively.

According to him, the company reviewed a sample of 10 million uploads from the country and found that only a small fraction met quality standards required for AI training.

He added that the problem escalated when the platform was flooded with manipulated identity documents, including fake passports, during its verification process.

“As a startup, we cannot absorb the cost of filtering that level of bad data,” Patel said, noting that the company has now removed the app from Nigeria’s Apple App Store and imposed an IP ban on the region while it strengthens its fraud detection systems.

“On top of all of this, every time we make a post there is someone asking us to bring the region back within seconds. We hear you, but it’s gotten out of hand,” he added.

Despite the suspension, the company maintained that the move is temporary and not permanent.

“We’ve made this decision with great care. We love everyone who has genuinely supported Kled from Nigeria, and we hope to return when the time is right,” the statement concluded.

The decision has triggered backlash among Nigerian users, many of whom accuse the company of stereotyping and unfairly targeting the country.

Patel, however, insists the move is purely business-driven and not linked to race or nationality, stressing that Kled remains available in other African markets.

 

 

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Trusted Relationship and Exploits in Public-facing Applications Strengthen Position as the Main Attack Vectors

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Although the main initial vectors in 2025 remain similar to 2024, their combined share has grown to over 80%. Public-facing applications account for 43.7%, while trusted relationships have increased from 12.7% to 15.5%.

Valid accounts make up 25.4%. These insights are from the recent Global Report by Kaspersky Security Services.

The ‘Anatomy of a Cyber World’ is an in-depth global report based on incident data gathered in 2025 from Kaspersky Managed Detection and Response, Kaspersky Incident Response, Kaspersky Compromise Assessment and Kaspersky SOC Consulting.

It highlights the most common attacker tactics, techniques and tools, as well as the peculiarities of detected incidents and their distribution across regions and industries.

According to data derived from Kaspersky Incident Response, the top three initial attack vectors have remained relatively stable over the past seven years and have not changed significantly. Valid accounts and exploits in public-facing applications consistently represent the most common entry points.

The third position has periodically shifted: malicious emails, once a common initial vector, were replaced by trusted relationships, which first appeared in 2021 and entered the TOP-3 in 2023. By 2025, the distribution of main vectors looked as follows:

These attack vectors are often interconnected within the same chain, for example, organisations compromised through trusted relationships are frequently first breached via exploits in public-facing applications. Recent cases reveal attackers targeting service providers or IT integrators to then access their clients.

This problem is compounded by many small service providers lacking dedicated cybersecurity expertise and resources. As they manage accounting software or websites, breaches in these companies can lead to the compromise of their clients’ systems through exploited remote access.

When examining the investigated attacks in terms of duration and impact, the data shows that the majority (50.9%) of them were rapid in nature, typically lasting less than a day and most often resulting in file encryption.

A significant portion (33%) were long-lasting, with an average duration of 108 hours, during which attackers not only encrypted files but also installed persistence mechanisms, compromised Active Directory and caused data leakage.

The remaining 16.1% exhibited a hybrid pattern: they initially appeared as rapid attacks but involved a considerable delay between the initial breach and subsequent malicious activities, extending their overall duration to nearly 19 days.

“Given that attackers are increasingly orchestrating coordinated, multi-stage attacks, organisations cannot afford to rely on a reactive, “firefighting” approach. To counter this, a proactive security posture is essential, one that embeds real-time threat monitoring and continuous detection into everyday operations.

This enables defenders to respond swiftly to adversary activity before it escalates. Key measures for protecting digital assets against both rapid intrusions and long-term compromises include: timely patching, enforcement of multi-factor authentication and strict control of third-party access,” comments Konstantin Sapronov, Head of Global Emergency Response Team at Kaspersky.


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