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AI Agents Are Already Doing the Work–The Real Challenge is Redesigning It

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Agentic AI adoption is already taking shape, with 15% of business leaders strongly agreeing that tasks within their organisations are already supported by AI agents. Yet formal job scopes are not keeping pace, with only 27% of business leaders saying job scopes accurately reflect AI agent involvement, while 42% say AI responsibilities are under-represented and 25% report job scopes have not been updated at all, contributing to gaps in supervision and accountability.Control is uneven, with more than a quarter of business leaders not being confident in their ability to supervise AI agents (24% are not very confident, 2% are not confident at all), while 24% say accountability is unclear when AI agents are involved in decisions.Workforce readiness is trailing adoption, with 44% of business leaders citing a lack of skills required for AI-augmented roles as the most significant workforce challenge, followed by difficulty measuring performance fairly (43%) and lack of relevant upskilling opportunities (42%).

SINGAPORE, June 5, 2026 /PRNewswire/ — Agentic AI adoption is already taking shape, with 15% of business leaders strongly agreeing that tasks within their organisations are supported by AI agents, particularly in functions such as data analysis and reporting (46%), compliance (30%), customer support and service (30%), IT and cybersecurity (29%), and marketing and sales enablement (28%).

As adoption advances, organisations are grappling with how this shift is being managed. While AI agents are taking on more responsibility within workflows, the structures that define governance, accountability and workforce readiness are not always evolving at the same pace.

One area where this disconnect is most visible is in formal job scopes. Only 27% of business leaders say job scopes accurately reflect the involvement of AI agents, while 42% report that AI agent responsibilities are under-represented and 25% say job scopes have not been updated at all. This misalignment indicates that while AI agents are influencing daily work, yet responsibility for supervision, decision‑making and outcomes is not always clearly defined.

These structural gaps are reflected in the levels of confidence among leaders. More than a quarter of business leaders say they are not confident in their ability in supervising AI agents (24% are not very confident, 2% are not confident at all), and a further 24% report that accountability is unclear when AI agents are involved in decisions. These findings point to ongoing challenges in supervision and governance as AI agents are integrated into organisational decision‑making.

These are some of the key findings from NTUC LearningHub’s Industry Insights Report on Agentic AI and Organisational Transformation, which surveyed 200 business leaders to examine how agentic AI is reshaping job control, decision-making and accountability. All respondents have experience working with agentic AI in their roles, with 24% reporting it as a regular and integral part of their daily work and a further 33% engaging with it frequently. In terms of decision‑making involvement, 31% lead or directly influence decisions on AI agents, while 49% provide input and recommendations.

Challenges around measurement and oversight add further complexity. Fairness and bias are cited by 39% of business leaders as the most difficult AI agent performance area to quantify, followed by accountability attribution (36%). While many organisations can track productivity and cost metrics, assessing how AI agents perform across these harder‑to‑measure dimensions is a key issue.

At the same time, workforce readiness is failing to keep pace with the speed of adoption. The most significant workforce challenge organisations face is the lack of skills required for AI-augmented roles, cited by 44% of business leaders. This is followed closely by difficulty measuring individual and team performance fairly in AI-integrated environments (43%) and limited access to relevant training and upskilling opportunities (42%). As AI agents undertake more tasks, job scopes and role definitions may not be reflecting how work is actually being done.

The shift towards agentic AI is also reshaping demand for specific roles and capabilities. Business leaders report that the most sought‑after job functions driven by the emergence of AI agents are data privacy and protection (46%), followed by AI operations and performance monitoring (45%), AI risk and compliance (43%), AI workflow integration (42%) and AI security and threat management (42%).

Alongside this, the competencies that organisations prioritise are also evolving. The top emerging competency cited by business leaders is critical thinking when working with agentic AI‑generated outputs (38%), followed by change management and agentic AI adoption leadership (37%), cross‑functional and human–AI team coordination (35%), agentic AI governance, accountability and regulatory compliance (34%), and ethical judgement and responsible agentic AI deployment (34%). Together, these findings highlight a shift towards skills that support oversight, judgement and coordination as AI agents become more embedded in organisational workflows.

Despite widespread AI adoption, human judgement is central. The most important criterion for trusting AI agents cited by 37% of business leaders, is ensuring that a human remains in the loop to review and approve AI recommendations before any action is taken. This highlights that even as AI systems become more autonomous, organisations still depend heavily on human oversight to manage risk, accountability and ethical considerations.

Commenting on the report’s findings, Mr Amos Tan, Assistant Chief Executive and Chief Core Skills Officer, NTUC LearningHub, says, “AI agents are already embedded in daily operations, but many organisations are scaling faster than what their workforce and control structures can manage. As AI systems take on more autonomous decision‑making, gaps in supervision, accountability and governance become real risks if not thought through and properly designed. Our findings suggest that without deliberate investment in skills such as AI oversight, critical thinking and ethical judgement, organisations may struggle to maintain trust and control as AI adoption accelerates. To scale agentic AI responsibly, companies must redesign roles, update job scopes and strengthen human capabilities in parallel—because while AI may act, accountability must ultimately rest with people.”

As agentic AI becomes embedded in day-to-day operations, organisations face a defining choice—continue accelerating adoption without adequate control, or invest in the workforce, governance and operating models needed to manage autonomous systems responsibly at scale.

To download the Industry Insights Report on Impact of Agentic AI on Jobs, please visit www.ntuclearninghub.com/media/research-reports/2026/Agentic-AI. To find out more about the courses, training, and grants, please contact NTUC LearningHub at www.ntuclearninghub.com.

About NTUC LearningHub

NTUC LearningHub is the leading Continuing Education and Training provider in Singapore which aims to transform the lifelong employability of working people. Since our corporatisation in 2004, we have been working with employers and individual learners to provide learning solutions in areas such as Infocomm Technology, Generative AI & Cloud, Healthcare, Retail & Food Services, Employability & Literacy, Business Excellence, Workplace Safety & Health, Security, Human Resources & Coaching and Foreign Workers Training.

To date, NTUC LearningHub has helped over 34,000 organisations and achieved more than 3.2 million training places across more than 1,000 courses with a pool of about 1,000 certified trainers. As a Total Learning Solutions provider to organisations, we also forge partnerships to offer a wide range of relevant end-to-end training. Besides in-person training, we also offer instructor-led virtual live classes (VLCs) and asynchronous online learning. The NTUC LearningHub Learning eXperience Platform (LXP)—a one-stop online learning platform—offers timely, bite-sized and quality content for learners to upskill anytime and anywhere. Beyond learning, LXP also serves as a platform for jobs and skills development for both workers and companies.

For more information, visit www.ntuclearninghub.com.

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SOURCE NTUC LearningHub Pte Ltd

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SK hynix Announces 3Q26 Financial Results

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Reports revenues of 104.6155 trillion won, operating profit of 83.3338 trillion won, net profit of 39.7756 trillion won; Quarterly sales surpass 100 trillion won for the first timeSales of HBM4 and high-value-added server products expanded; HBM4 expected to be the mainstream product from the fourth quarterLong-term agreements secured for more than 50% of 2027~2028 production capacity; A structure that reflects market conditions and ensures stable profitabilityMost of the gains from the Kioxia investment to be shared with shareholders, with  approximately 100 trillion won in shareholder returns to be executed this year

SEOUL, South Korea, Oct. 27, 2026 /PRNewswire/ — SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it has recorded 104.6155 trillion won in revenues, 83.3338 trillion won in operating profit (with an operating margin of 80%), and 39.7756 trillion won in net profit (with a net margin of 38%) in the third quarter.

Record quarterly results in both revenue and operating profit and revenue surpasses 100 trillion won for the first time

In a market environment in which prices of key products have risen on the back of growing demand for AI memory, the company once again posted all-time-high quarterly results in both revenue and operating profit, underpinned by the competitiveness of its high-value-added products. In particular, revenue exceeded 100 trillion won for the first time in the company’s history. Revenue and operating profit increased by 32% and 38%, from the previous quarter, respectively.

– Q2 2026: Revenue of 79.3187 trillion won, Operating Profit of 60.5426 trillion won

By product, DRAM results were driven by a significant increase in sales of server DDR5 while HBM4 shipments began in earnest. In NAND, sales of 321-layer TLC eSSD expanded, and high-value-added products for data centers continued to grow across the board.

The company’s financial structure has also become significantly concrete. At the end of the third quarter, cash and cash equivalents stood at 114.5 trillion won, up 26.5 trillion won from the end of the previous quarter, while borrowings decreased by 2.8 trillion won to 15.8 trillion won. As a result, net cash increased to 98.7 trillion won.

Memory supply shortage to persist through 2030

SK hynix analyzed that a virtuous cycle has taken hold in which AI-driven productivity gains and new revenue generation in areas such as software development, customer service, and search lead to greater AI adoption, which in turn drives increased investment in infrastructure. It also projected that, as the drivers of AI investment move beyond the early stage, when a small number of companies accounted for most of it, and broaden to include general enterprises and nation-level initiatives, the global AI data center infrastructure market will continue to grow steadily.

The company likewise expects the memory market to sustain its growth, led in the short term by enterprise and personal AI and, over the mid-to-long term, by physical AI such as autonomous driving and robotics.

The company assessed that supply, on the other hand, is not keeping pace with the growth of the market. Given technical difficulty of leading-edge processes and the long lead time required to build new production facilities, it expects the structure in which demand exceeds supply to persist through 2030.

Expanding production capacity and strengthening product competitiveness to achieve a further step up in growth next year

Building on these favorable conditions, the company plans to accelerate the expansion of production capacity and the strengthening of product competitiveness in order to sustain the current growth momentum, and to scale up revenue and profit one step further next year.

First, the company plans to rapidly increase the portion of its 10nm-class 6th generation (1c) process technology and expand sales of DDR5 and LPDDR5 SOCAMM for AI servers, thereby further strengthening its DRAM portfolio centered on high-value-added products.

To respond to surging HBM demand, the company will ramp up M15X to maximum capacity by the end of the year to increase HBM4 production. Accordingly, the company expects HBM4 to surpass HBM3E in both shipment volume and revenue in the fourth quarter and to establish itself as a mainstream product.

In NAND, the company will raise the ratio of its 321-layer process to more than half of its domestic production capacity in the fourth quarter, and thereby increase the supply of high-performance, high-capacity eSSD. Over the mid-to-long term, the company intends to develop NAND into a core solution that enhances the throughput and economic efficiency of AI services, based on HBF and system optimization technologies.

Long-term agreements secured for more than 50% of 2027~2028 production capacity and the company to drastically expand investment next year

To improve mid-to-long term demand visibility and solidify its growth foundation, SK hynix is expanding long-term agreements (LTAs) with customers. The company has currently signed LTAs with 14 major customers, including leading global cloud service providers (CSPs), and is also proactively discussing with a number of customers the possibility of extending the contract terms, which are typically five years.

The LTA volume secured to date corresponds to more than 50% of total production capacity for 2027 and 2028. In particular, by introducing a mechanism that reflects market conditions within a price range agreed upon with customers, the company has established a structure that secures stable profitability while allowing flexible responses to market changes.

Backed by the demand visibility, the company is also moving to expand its production capabilities. Next year, with the Yongin Phase 1 entering full-scale operation and domestic and overseas infrastructure investment gaining momentum, investment is expected to increase significantly. The company nevertheless plans to adjust the scale and timing of its investment flexibly, after carefully weighing customer demand, product competitiveness, profitability and investment efficiency.

Most of the gains from the Kioxia investment to be shared with shareholders, with approximately 100 trillion won in shareholder returns to be executed this year

As previously indicated in August, SK hynix announced its additional shareholder return plan. For fiscal year 2026, the company will pursue shareholder returns totaling approximately 100 trillion won, comprising cash dividends of 30 trillion won or more and share repurchases and cancellations of 60 trillion won or more in total, including the 40 trillion won announced in August. Through this, the company intends to fulfill its commitment to return 50% or more of free cash flow (FCF). Of this, the 40 trillion won share repurchase announced in August was completed last week, and the shares will be cancelled shortly.

The company also set out its principles: the dividend amount will be determined on the basis of operating results; if significant investment gains arise, they will be returned additionally through special dividends; and share repurchases will continue every quarter.

At today’s meeting, the Board of Directors resolved on a third-quarter cash dividend of 14 trillion won and a share repurchase of 20 trillion won. Of the shares to be repurchased, 10 trillion won, earmarked for shareholder returns, will be cancelled in full, while the remaining approximately 10 trillion won will be used for employee compensation and is not included in the shareholder return total.

The third-quarter dividend is 20,000 won per share, consisting of a 10,000-won dividend reflecting improved earnings and a 10,000 won special dividend that shares the gains from the Kioxia investment. The company has decided to return to shareholders most of the gains realized from its Kioxia investment this year.

SK hynix emphasized that it will deliver stable results based on robust memory demand growth and technological competitiveness and the company will consistently share financial achievements with our shareholders.

 3Q26 Financial Results (K-IFRS)

*Unit: Billion KRW

3Q26

QoQ

YoY

2Q26

Change

3Q25

Change

Revenues

104,615.5

79,318.7

32 %

24,448.9

328 %

Operating Profit

83,333.8

60,542.6

38 %

11,383.4

632 %

Operating Margin

80 %

76 %

3%p

47 %

33%p

Net Income

39,775.6

93,922.6

-58 %

12,597.5

216 %

* Financial information of the earnings is based on K-IFRS

* Please note that the financial results discussed herein are preliminary and speak only as of October 28, 2026. Readers should not assume that this information remains operative at a later time.

* Percentage changes are calculated on the basis of unrounded figures.

Disclaimer

This material has been prepared by the Company for informational purposes only, and the information contained herein has not undergone any separate, independent verification process. No representations or warranties are made regarding the fairness, accuracy, or completeness of the information contained in this material, and such information should not be relied upon. Neither the Company nor its employees bear any civil, criminal, or administrative liability for any damages arising from this material or from its use.

Review of the FY2026 Q3 financial results has not been finalized. Figures in this earnings release are subject to changes during the independent auditing process.

All financial information contained in this document is based on consolidated K-IFRS.

This material contains forward-looking statements, which involve risks and uncertainties. These statements are generally identified words such as “may,” “will,” “intend,” “should,” “believe,” “expect,” “anticipate,” “project,” “estimate” and similar expressions, or the negative of such expressions. Forward-looking statements are not guarantees of future performance and are subject to inherent risks, uncertainties, and other factors that could cause actual results to differ materially from those expressed or implied. Readers are cautioned not to place undue reliance on any of these forward-looking statements. These forward-looking statements speak only as of the date hereof. SK hynix undertakes no obligation to update any of these forward-looking statements to reflect events or circumstances after the date of this news release or to reflect actual outcomes, unless required by law.

This material does not constitute a solicitation for the acquisition or purchase of securities, and no part of this material should serve as the basis for any contract, agreement, or investment decision, nor should it be relied upon in connection therewith.

About SK hynix Inc.

SK hynix Inc., headquartered in Korea, is the world’s top tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”) and flash memory chips (“NAND flash”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxembourg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.

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SOURCE SK hynix Inc.

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DealLabs Builds Travel AI Data Layer with 280,000 Verified Local Records Across Seven Asian Cities

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SEOUL, South Korea, Oct. 28, 2026 /PRNewswire/ — Seoul-based travel data company DealLabs announced that it has built a database of verified local travel information for seven Asian cities: Seoul, Busan, Tokyo, Osaka, Bangkok, Taipei, and Singapore. As of October 13, the database contained more than 280,000 records, each accompanied by its source and verification date. It powers more than 23,000 guide pages and is published in formats AI systems can read directly.

It covers what travelers look for after arriving: subway station exits, timetables, first and last trains, fares, restaurants, tourist attractions, hospitals, closing days for Singapore’s hawker centers, and business hours for Taipei’s night markets. In Osaka alone, the database contains more than 114,000 records, including more than 42,000 medical institutions and pharmacies and more than 30,000 restaurant permits. In Taipei, it contains more than 63,000 records, including 7,200 station-to-station fares.

The number of times generative AI search and answer services accessed DealLabs’ data increased from around 600 times per day on a seven-day average in late September to more than 11,000 times per day in mid-October, nearly 20-fold in less than a month.

Travel information changes rapidly. On the same day, public event listings and organizers’ own notices gave different end dates for three of 25 pop-up stores in Seoul, up to 10 days apart. Business hours, closing days, last train times, and fares are among the areas where AI travel answers are most frequently inaccurate. DealLabs continuously updates this information using official sources.

All seven cities have AI-ready guide files (llms.txt) and data APIs, while Seoul also provides a standard API specification (OpenAPI). The seven cities are run using a single common engine, allowing a new city to be added simply by incorporating that city’s data and sources.

DealLabs is also piloting “Visit Plan Check,” which checks travel AI itineraries against official sources daily.

Young Cho, founder and CEO of DealLabs, said, “When travelers ask AI a question, what matters is whether the answer is accurate for that city today. We will establish a standard for local data that travel AI can rely on.”

DealLabs plans to expand its coverage to 10 cities by the end of 2026 and to 30 cities, including New York and Paris, by 2028.

For more information, please visit https://deallabs.net.

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SOURCE DEALLABS

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Teijin Selects Kharon to Strengthen Export Controls Compliance Across Global Operations

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Kharon ClearView will support Teijin teams in Japan, the United States, and Europe as they navigate Japanese and U.S. export controls requirements.

DENVER, Oct. 28, 2026 /PRNewswire/ — Kharon, a data and technology company that provides risk intelligence solutions to help organizations manage regulatory and business risk, announced that Teijin Limited has selected Kharon ClearView to support its export controls compliance program.

Headquartered in Japan, Teijin operates a global materials business that includes carbon fiber and other advanced materials used in aerospace and industrial applications. Its international operations require compliance teams to navigate export control requirements across multiple jurisdictions, including Japan and the United States.

“As a global company, we need an export controls approach that can support our teams across markets,” said Hitoshi Onodera, General Manager of the Quality Assurance and Security Export Control Department and Manager of the Security Export Control Group at Teijin. “We selected Kharon because of the depth of its risk intelligence, ease of use, and its ability to give our teams greater visibility into the entities and relationships that matter to our reviews. ClearView will help us bring that context consistently into our due diligence processes across our operations.”

Teijin will deploy ClearView across its operations globally. ClearView enables compliance teams to investigate complex entity relationships, including ownership and commercial connections to parties subject to export controls and other trade restrictions.

“Advanced materials companies operate in an increasingly complex export controls environment, where understanding the parties behind a transaction can be just as important as screening the names directly involved,” said Ethan Woolley, Global Director of Strategy at Kharon. “Teijin’s decision to deploy ClearView across its operations reflects the importance of having that level of insight. We are pleased to support its teams as they strengthen their approach to export controls compliance.”

About Teijin

Teijin Limited is a Japan-based global technology company providing products and solutions across advanced materials, healthcare, and other technology-driven fields. Founded in 1918, Teijin’s businesses include high-performance materials such as aramid fibers, carbon fibers, and composites, serving applications across mobility, infrastructure, industry, and other markets. The Teijin Group comprises 126 companies and approximately 15,700 employees worldwide.

For more information, visit https://www.teijin.co.jp/.

About Kharon

Kharon’s intelligence supports compliance, trade, risk, and national security programs at organizations around the world, including seven of the 10 largest U.S. banks, six of the 10 largest EU banks, and over 35 Fortune 100 companies. Kharon’s data can also be directly integrated with AI applications and agentic operations through Kharon’s API, MCP, and agent gateway infrastructure, enabling organizations to embed Kharon’s sourced, structured insights into automated workflows alongside their teams.

Visit kharon.com and follow Kharon on LinkedIn to stay connected.

Media contact

Kharon
media@kharon.com

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SOURCE Kharon

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