New Research Finds AI Is Moving Faster Than Organizations Can Adapt

Executives today face no shortage of pressure.

Run your business on an AI cloud ERP built for companies of any size

Finance leaders are navigating capital constraints and economic uncertainty. Supply chain and operations leaders are balancing efficiency with resilience in an increasingly unpredictable environment. HR leaders are working to address critical skills gaps while preparing the workforce for new technologies.

Yet new research from Economist Enterprise sponsored by SAP—based on a survey of 2,015 C-suite executives at midsize organizations, those with revenues of $50 million to $1 billion, across the Americas, EMEA, and Asia-Pacific—found a common thread running through all three functions. For these organizations, AI adoption is consistently outpacing the people, processes, and capabilities needed to realize its full value.

Across finance, HR, and supply chain, the challenge is no longer whether to adopt AI. It’s how to ensure organizations are ready for it.

Across finance, HR, and supply chain, AI adoption is moving faster than the workforce, processes, and capabilities needed to support it.

Finance leaders see AI as an equalizer

For CFOs at midsize organizations, AI represents more than an efficiency opportunity.

Capital availability and financing costs rank among the most pressing concerns for 41% of finance leaders, a higher percentage than at larger organizations. Against that backdrop, AI is increasingly viewed as a way to help companies compete with organizations that have historically benefited from deeper resources.

Notably, reducing labor costs ranks last among CFOs’ AI objectives, cited by just 16% of respondents. Instead, finance leaders are focused on improving operational efficiency (41%), accelerating innovation (31%), and modernizing legacy systems (30%).

The challenge is execution. Sixty-six percent of CFOs say AI adoption is moving ahead of workforce transformation efforts. The findings suggest that finance leaders must play a broader role in transformation by connecting technology investments to the capabilities and skills required to generate value.

Sixty-six percent of CFOs say AI adoption is consistently running ahead of workforce transformation.

Read the full report: Advantage Under Pressure: How CFOs Are Navigating AI and Capital Trade-Offs 

Supply chain and operations continue to gain influence

The research also highlights the growing strategic role of operations leaders.

Nearly half of C-suite executives rank supply chain, procurement, and operations among their organization’s three most influential functions, placing them on par with finance and behind only sales and technology.

That influence comes with growing responsibilities. Forty-three percent of operations leaders cite supply chain disruption as a top concern, while 38% point to operational resilience. Two in five identify balancing efficiency and resilience as their defining challenge, a figure that rises to 48% in manufacturing organizations.

AI presents significant potential, but results remain mixed. Only 47% of operations leaders at midsize companies report measurable value from AI investments, compared with 62% at organizations with revenues exceeding US$1 billion.

Just four percent say AI and workforce transformation are advancing as fully integrated initiatives, while 59% say AI adoption is moving ahead of workforce change.

The data suggests that organizations will create value not simply through AI investment, but through redesigning workflows, skills, and operating models around new technologies.

Only four percent of operations leaders say AI and workforce transformation are advancing as fully integrated initiatives.

Read the full report: Building for a World of What-Ifs: Navigating Resilience, Efficiency and Disruption

HR is taking on more responsibility than ever

No function is experiencing more rapid change than HR.

Nearly 74% of CHROs say their function is significantly more involved in workforce transformation than it was three years ago, the highest rate of change among C-suite functions.

The arrival of AI has intensified the challenge. More than half (54%) of CHROs identify workforce skills as the area least prepared for AI transformation. CHROs are also more than four times as likely as their executive peers to identify skills shortages as requiring immediate attention.

At the same time, many organizations are shifting budgets toward technology investments, creating additional pressure on HR teams to demonstrate their strategic value.

The opportunity for HR is significant. According to BCG, 70% of the effort required for AI transformation involves people and processes rather than technology itself. As organizations scale AI initiatives, workforce readiness may prove just as important as technological readiness.

Fifty-four percent of CHROs identify workforce skills as the area least prepared for AI transformation.

Read the full report: The Business of People: How CHROs Are Reshaping Tomorrow’s Workforce 

The AI readiness gap is also an opportunity

Taken together, the three reports point to a common conclusion: organizations are moving quickly on AI, but often in fragmented ways.

Finance is deploying AI while workforce transformation struggles to keep pace. Operations is embedding AI into business processes while skills gaps persist. HR is working to prepare employees for a future arriving faster than many organizations expected.

For growing companies, this gap represents both a risk and an opportunity. Midsize organizations often have flatter structures and greater agility than larger enterprises, enabling them to align technology, people, and processes more quickly.

The research suggests that success will depend less on how much organizations invest in AI and more on how effectively they connect AI initiatives with workforce transformation and business process change. Organizations that integrate those efforts stand the best chance of turning AI investments into measurable business value.

The organizations generating the most value from AI aren’t necessarily investing more. They’re integrating technology, people, and processes more effectively.

To hear more about this research directly from Economist Enterprise experts, join one of our upcoming webinars.

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Physical AI Meets SAP Knowledge Graph | SAP TechEd 2026

What happens when Physical AI meets enterprise data and predictive intelligence? Discover how SAP is bringing knowledge graphs, AI models, and robotics together to turn data into action.

At SAP TechEd 2026, SAP Developer Advocates Witalij Rudnicki and Nora von Thenen demonstrate how SAP BDC Ontology Manager and SAP Knowledge Graph help give AI agents the business context they need to reason more reliably. Explore how enterprise ontologies connect data, relationships, and business meaning to support intelligent applications and AI-powered decisions.

Meet Schrödinger, an intelligent robotic cat built with SAP technologies, as it uses speech interactions, visual recognition, and Tabular AI to predict participation in the SAP TechEd Developer Garage. See how SAP AI Core and predictive models work together to analyze historical event data, identify patterns, and generate predictions without traditional model training.

Chapters:
00:00 – Connecting Enterprise Data with AI
00:31 – SAP BDC Ontology Manager and Knowledge Graphs
01:40 – Meet Schrödinger: Physical AI in Action
02:41 – Connecting AI Models with Business Context
03:52 – Exploring SAP TechEd Developer Garage
04:32 – Predictive AI with Tabular Models
05:12 – Generating Predictions with Physical AI
05:36 – Understanding AI Predictions
06:15 – Explore the SAP Developer Garage

• Explore SAP Business Data Cloud: https://sap.to/6051BHmSkX
• Watch the full developer keynote replay: https://sap.to/6052BHmSkk

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SAP LeanIX a Six-Time Leader in Gartner® Magic Quadrant™ for Enterprise Architecture tools

SAP LeanIX has once again been positioned as a Leader in the Gartner® Magic Quadrant™ for Enterprise Architecture Tools for 2026.

See your landscape clearly, improve how processes run, and guide people through every change

This is the sixth time that SAP LeanIX has positioned as a Leader in the annual report. 

We believe this reflects our unique strength in helping enterprises breathe life into their enterprise architecture data, discover and govern their AI portfolios, and make rapid transformation a business capability 

The analyst firm positioned SAP LeanIX furthest in Completeness of Vision and highest in Ability to Execute, once again. The news is particularly relevant for business leaders as enterprise architecture tools are becoming increasingly important for AI adoption and governance.

Why enterprise architecture matter for AI

Enterprise architecture tools document up-to-date information about organizations’ application portfolios and tech stacks. Visibility on this information is essential for leveraging agentic AI and governing it to ensure return on investment.

Enterprise architects are not in the driving seat for AI governance, but with the right tools, they can provide the data chief AI officers and AI governance boards need to make rapid, informed decisions. The SAP LeanIX portfolio is able to discover, store, and provide that essential enterprise architecture intelligence. 

“Our goal is to empower our customers to confirm return on technology investment in the AI era with dynamic, enterprise architecture intelligence that helps drive business transformation,” SAP LeanIX Chief Product Officer Dominik Rose said. “Transformation never ends, but the AI revolution is the most fundamental step forward that technology has taken this century. Our business transformation solutions empower organizations to take that step in their stride with comprehensive, current EA data.”

What is the Gartner Magic Quadrant for EA Tools?

A Gartner Magic Quadrant is a culmination of research in a specific market, offering a wide-angle view of the relative positions of the market’s competitors. By applying a graphical treatment and a uniform set of evaluation criteria, a Magic Quadrant helps quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view.

A Magic Quadrant provides a view of the four types of technology providers in any given field: 

  • Challengers execute well today or may dominate a large segment, but do not demonstrate an understanding of market direction.
  • Niche players focus successfully on a small segment or are unfocused and do not out-innovate or outperform others.
  • Visionaries understand where the market is going or have a vision for changing market rules, but do not yet execute well.
  • Leaders execute well against their current vision and are well-positioned for tomorrow.

SAP LeanIX has been positioned as a Leader in the Gartner Magic Quadrant for Enterprise Architecture Tools for six consecutive years, and this year was positioned furthest in Completeness of Vision and highest in Ability to Execute.

For enterprise architects and senior leaders, Gartner evaluates EA Tools against real-world enterprise needs, including: 

  • Capturing, structuring, analyzing, and presenting models
  • Supporting change, transformation, and optimization
  • Assessing and managing an evolving IT portfolio
  • Managing EA knowledge and resources to address stakeholder needs
  • Identifying and tracking sustainability initiatives

To see the full analysis and learn why SAP was once again listed as a Leader for EA tools, download the Gartner report here.


Neil Sheppard is a senior content marketing specialist for SAP LeanIX.

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Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are trademarks of Gartner, Inc and/or its affiliates.

5 Things to Know: SAP Digital Manufacturing Course

In this blog post, learn about our upcoming Rheinwerk Course entitled Manufacturing Execution and Analytics with SAP Digital Manufacturing from the course instructor, Lars Brittinger.

From Disconnected to Autonomous: Daikin’s People-Centric ERP Transformation

Daikin’s story is about more than just an overdue technology upgrade. The company’s end goal was anchored around the employees and end customers: How can we make day-to-day experiences smarter, faster, and more intuitive while still building for the future?

SAP Cloud ERP: Real-time insights, embedded AI, and scalable performance

To answer this question, EY and SAP moved to one cloud ERP that enabled a unified, intelligent enterprise while reducing complexity and empowering people.

Starting point at Daikin

At the forefront of the story was the goal of being the global leader in the HVAC industry. As a result, Daikin pioneered groundbreaking technologies that revolutionized commercial AC. With a longstanding history of over 100 years of engineering, the company has grown to operate globally in more than 170 countries with over 100,000 employees. However, its journey to global recognition was peppered with growing pains.

Disconnected systems led to complexity

Years of rapid growth alongside acquisitions left the company with a legacy ERP that was fragmented, inconsistent, and lacked the standardization required to operate efficiently. Multiple disconnected systems and workflows meant that employees were dealing with a myriad of processes, all differing depending on which business unit they were working with. This increase in manual work and confusion around processes added avoidable complexity to day-to-day tasks, as employees spent more time than necessary solving for problems.

Together, EY and SAP teams worked toward an end goal by posing the question: how do we simplify operations, empower employees, and drive customer experience? Daikin’s industry is unique, with highly distributed networks and complex supply chains. Companies operating in this environment must continuously adapt to industry standards and regulations, all while delivering the reliable product experience they’re known for. Daikin turned to EY and SAP because the company needed a partnership that understood the nuances of the industry within which it operates.

Daikin’s focus from the beginning was on the people who would be impacted most by this transformation and ensuring that their everyday experience evolved into one that is simpler, consistent, and productive. With AI at the core, Daikin can look to the future and see one unified system where AI moves beyond isolated cases and becomes embedded end-to-end.

To achieve this vision, Daikin established SAP Cloud ERP as its digital core and single source of truth. Going live in just 10 months, the pilot modernized finance, logistics, procurement, and sales workflows for more than 300 frontline users, demonstrating early results of 10% improved counter efficiency and a 20% faster financial close.

EY’s industry expertise paired with SAP technology helped ensure that the people who use the technology every day no longer log-in to multiple systems and customers get the right product at the right time and price.

Employees gained single-screen experiences, faster access to information, reduced manual effort, simplified training and onboarding, and more confidence in decision-making. Dealers gained better visibility, faster onboarding experiences, and more consistent service interactions.

Journey to an Autonomous Enterprise

Now, Daikin doesn’t have to worry about which inefficiencies it will have to confront for an approaching launch.

The early results demonstrate what’s possible when AI-driven insights are paired with human-centered delivery: improved efficiency, faster financial close, better data governance, enhanced forecasting and operational decision making, and accelerated delivery using AI-assisted implementation capabilities.

This not only empowers end users but creates a scalable foundation that can grow alongside Daikin. With over 400 branches worldwide, EY and SAP created a blueprint for Daikin’s global transformation with future automation and intelligent decision-making in mind.

SAP Fiori Makers and Danfoss: UX That Saves Time

See how SAP Fiori Makers and Danfoss used UX-driven co-creation to simplify work, reduce cognitive load, and improve productivity.

In this SAP Fiori Makers boot camp, SAP designers and developers worked side by side with Danfoss end users to identify inefficient processes and prototype practical solutions. The goal: create employee experiences that make everyday work simpler, faster, and more intuitive.

The teams focused on real business challenges, including how customer service representatives manage blocked orders. Instead of jumping between multiple transactions, the proposed dashboard brings key information—such as logs, delivery dates, and iDocs—into one view. According to the team, this type of solution can save the equivalent of 110 years of work every year.

Hear from SAP Fiori Makers and Danfoss leaders as they explain how collaboration, user experience, and hands-on prototyping can strengthen a digital backbone and help teams build better ways of working in just a few days.

Explore more stories about design and innovation with SAP:
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About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6051BGrfY7

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SAP BDC Helps Team Liquid Optimize Player Performance

WALLDORF — SAP SE (NYSE: SAP) today announced that Team Liquid is using SAP Business Data Cloud to connect gameplay, wellness, biometric and operational data as it prepares for World of Warcraft’s Race to World First, which started August 18, 2026.

Playing the Long Game: Why Team Liquid’s Race to World First Runs on SAP Business Data Cloud

For Team Liquid, Race to World First is a test of endurance as much as execution. The competition can require teams to compete continuously for weeks against some of the world’s most complex raid encounters, where fatigue, stress, recovery and coordination can influence performance while coaches still need to make decisions in real time.

That challenge has traditionally been difficult to solve because critical information often sits in separate systems. Gameplay metrics, combat logs, wearable-device signals, player wellness information and operational data can each provide insight. However, when analyzed in isolation, they leave coaches with an incomplete view of how player condition and in-game execution affect one another.

The SAP Business Data Cloud solution helps Team Liquid bring those signals into a unified, AI-enriched analytics environment. Coaches, analysts and performance experts can view physical readiness, stress indicators, recovery metrics, scheduling context and in-game performance together, helping them identify patterns that are hard to detect across disconnected tools and spreadsheets.

The Joule solution extends the connected data foundation with AI-powered recommendations. By analyzing trends across gameplay, wellness and biometric information, Joule can help coaches surface early warning signs and compare tactics against historical performance patterns. With Joule, coaches can also evaluate whether recovery breaks, role adjustments or strategy changes may help the team sustain precision during progression attempts.

“As we prepare for Race to World First, having player performance, health and game data in one place changes how we approach coaching and strategy,” said Dr. Jesse Hart, Senior Director of Sports Science and Analytics, Team Liquid. “SAP Business Data Cloud allows us to make decisions backed by data rather than intuition during one of the most demanding competitive periods of the year.”

SAP and Team Liquid have collaborated since 2018 on esports performance, analytics and AI innovation, including solutions designed to support competitive preparation and real-time decision-making. SAP Business Data Cloud marks the next evolution of that work by showing how connected data and AI can help teams turn fragmented information into action under pressure. The same challenge exists beyond esports: organizations across industries need trusted data, intelligent insights and human expertise working together so people can perform at their best when it matters most.

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Media Contact:
Martin Gwisdalla, +49 6227 7-67275, martin.gwisdalla@sap.com, CET
SAP Press Room; press@sap.com

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© 2026 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.

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Danish wholesaler Lemvigh-Müller transformed manual document handling with SAP Business AI. The company automatically processes incoming business documents, including orders, delivery notes, and invoices received as PDFs and emails, reducing manual work and helping teams focus on execution rather than paperwork.

Discover how a 200-hour AI project became a scalable foundation for broader business process automation.

0:00 – Why Supply Chain Efficiency Matters
0:27 – About Lemvigh-Müller
0:36 – SAP Business AI Automates Document Processing
1:06 – From Manual Work to Intelligent Dashboards
1:21 – Scaling Automation Across Business Processes
1:38 – How to Start Small and Succeed with AI

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