What Are IFRS Sustainability Disclosure Standards?

Learn how IFRS S1 and S2 connect sustainability disclosure with financial reporting, enterprise value, and investor decision-making.

For the first time, sustainability disclosure is being aligned more closely with financial reporting. IFRS S1 and IFRS S2 set a global baseline for reporting sustainability-related risks and opportunities, helping organizations connect sustainability performance to financial prospects in language investors and finance teams already understand.

In this video, we explain what the IFRS Sustainability Disclosure Standards are, how IFRS S1 and S2 work, and why they matter for finance, risk, and sustainability leaders. IFRS S1 covers sustainability-related risks and opportunities that could affect an organization’s financial prospects, while IFRS S2 focuses on climate-related disclosures. The standards are also designed to work alongside other reporting frameworks, including the European Sustainability Reporting Standards and the Global Reporting Initiative, helping organizations reuse data across multiple disclosure requirements.

As regulators in more jurisdictions adopt or mandate IFRS S1 and S2, businesses need audit-ready sustainability and financial data they can trust. Investors and analysts are using these disclosures to compare companies, assess financial risk, and inform capital allocation decisions. SAP Sustainability solutions help harmonize financial and sustainability data in one audit-ready foundation with AI-enabled automation, so organizations can meet IFRS requirements and scale across evolving frameworks.

IFRS S1 and S2 set a new bar for how sustainability performance is disclosed, scrutinized, and compared. Organizations that meet it will be better positioned to attract capital, build trust, and compete globally.

Explore IFRS Sustainability Disclosure Standards:
https://sap.to/6051BHzRDP

Chapters
00:06 – Sustainability disclosure meets financial reporting
00:25 – What IFRS S1 and S2 cover
00:48 – Connecting sustainability to enterprise value
01:11 – Who is in scope for IFRS disclosure
01:53 – Why IFRS matters for investors and capital markets
02:22 – Preparing for auditable IFRS reporting
02:47 – How SAP Sustainability solutions can help
03:03 – Building trust through better disclosure

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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/6051BHzRDZ

#SAP #Sustainability #ESG

Grassroots AI Adoption Starts with Your People 🌱

Successful AI adoption does not happen through executive mandates alone. It scales when leaders create the conditions for teams to learn, experiment, and build value independently.

Hear SONAE MC’s Helder Ribeiro explain why the goal of any AI strategy is workforce independence, so AI-literate teams can identify opportunities and create measurable business impact on their own.

Watch the full episode of AI Voices.

#SAP #BusinessAI #AI

SAP to Acquire TechWolf | SAP Connect 2026

See how SAP is bringing AI-native work intelligence into SAP SuccessFactors to help organizations understand skills, tasks, and workforce needs at enterprise scale.
At SAP Connect 2026, SAP announces its planned acquisition of TechWolf, an AI-native work intelligence platform designed to help organizations understand how work is changing and what that means for their people.

The conversation features Rebecca Carr, Head of Product for SAP SuccessFactors, discussing how TechWolf’s context graph for work brings together job tasks, employee skills, daily work signals, and external labor market data.

The discussion explores why workforce transformation is bigger than upskilling for AI. As enterprises rethink how work gets done, leaders need a more complete, current view of the skills they already have, the capabilities they need, and the opportunities employees can grow into next. With TechWolf’s intelligence, SAP aims to help customers make workforce decisions faster and with more confidence.

Rebecca also explains how this intelligence can guide workforce planning, learning, mobility, recruiting, and broader SAP ecosystem experiences after the acquisition closes. From onboarding new employees to identifying internal talent, closing skills gaps, and helping people see a clearer path for growth, the goal is to help organizations build the workforce they need while creating better opportunities for their people.

Watch the full keynote. 👉 https://sap.to/6050BG4p06
Watch all SAP Connect replays on demand. 👉https://sap.to/6051BG4p0B

Chapters:
00:00 – Why workforce skills matter in the AI era
00:29 – SAP announces planned acquisition of TechWolf
00:44 – Introducing Rebecca Carr, Head of Product for SAP SuccessFactors
01:05 – What TechWolf brings to work intelligence
01:36 – Connecting tasks, skills, and labor market signals
02:28 – Benefits for SAP SuccessFactors customers
03:04 – Understanding skills during onboarding and workforce change
03:39 – Helping people grow inside the company
04:00 – Bringing TechWolf intelligence into SAP SuccessFactors
04:17 – Welcoming TechWolf to 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/6055BG0v3R

#SAPSuccessFactors #SAPBusinessAI #SAPConnect2026

Powering Agentic Integration with SAP Integration Suite | feat. Dhawal Joshi & Vishnuprasad Hegde

How can enterprises securely connect AI agents to business systems? Explore the MCP Gateway in SAP Integration Suite and its role in agentic integration.

In this episode of Discover SAP Business AI Platform, host Gaurav Dey sits down with Dhawal Joshi, Chief Product Manager for SAP Integration Suite Platform, and Vishnuprasad Hegde, VP, API Management Portfolio, SAP Integration Suite, to explore Model Context Protocol (MCP) and how SAP Integration Suite helps enterprises connect AI agents with business systems.

The conversation breaks down the three core MCP constructs, tools, resources, and prompts—and explains how the MCP Gateway can expose APIs, integration flows, and connectors through purpose-built MCP servers. You’ll also hear why MCP and APIs are complementary rather than competing technologies: APIs continue to provide the foundation for enterprise integration, while MCP standardizes how AI agents discover and interact with business capabilities.

The discussion also explores what enterprise-ready MCP requires, including authentication and authorization, traffic management, rate limiting, threat protection, mediation, observability, and governed access. Dhawal and Vishnu explain when SAP recommends using the MCP Gateway, including scenarios where agents are built on SAP or third-party platforms such as AWS, Google Cloud, or Microsoft Azure. Finally, they look ahead to planned capabilities including additional data sources and connectors, MCP Server Federation, and dynamic client registration.

In this episode, you’ll learn:
✅ What Model Context Protocol (MCP) is and how tools, resources, and prompts work
✅ How SAP Integration Suite turns APIs and integration flows into MCP tools
✅ Why MCP complements APIs rather than replacing them
✅ How MCP Gateway supports security, governance, traffic management, and observability
✅ How MCP Gateway can connect agents built on SAP and third-party platforms
✅ What’s planned next for MCP Gateway in SAP Integration Suite

Guests:
Dhawal Joshi – Chief Product Manager, SAP Integration Suite Platform
Vishnuprasad Hegde – VP, API Management Portfolio, SAP Integration Suite

Host:
Gaurav Dey – Platform & AI, SAP

Chapters
00:00 – Welcome to Discover SAP Business AI Platform
02:07 – What’s new in SAP Business AI Platform
04:15 – Meet Dhawal Joshi and Vishnuprasad Hegde
05:30 – Icebreaker: the AI word game
07:19 – What is MCP? Tools, resources, and prompts
10:11 – MCP Gateway in SAP Integration Suite
11:03 – Turning APIs and integration flows into MCP tools
12:49 – MCP and APIs: why enterprises need both
14:28 – Security and governance for MCP servers
16:43 – Traffic management, rate limiting, and observability
19:02 – When to use SAP Integration Suite MCP Gateway
20:31 – Accessing MCP Gateway
21:04 – MCP Gateway roadmap and planned capabilities
22:43 – Key takeaways from the experts
24:15 – What’s on the horizon for SAP Business AI Platform
26:32 – SAP Connect and SAP TechEd
27:19 – Closing remarks

• Explore MCP Gateway in SAP Integration Suite. 👉
https://sap.to/6057BGSDx1

• Explore what’s new in SAP Business AI Platform. 👉
https://sap.to/6059BGSDxH

• Explore the AI Catalog on SAP Discovery Center. 👉
https://sap.to/6050BGSDxy

• Explore the SAP Integration Suite roadmap. 👉
https://sap.to/6051BGSDxJ

🎧 Listen on Spotify: https://sap.to/6050f6zYq
🎧 Listen on Apple Podcasts: https://sap.to/6051f6zYS
🎧 Listen on SAP Podcasts: https://sap.to/605278AAO

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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/6059BGSDxR

#SAPIntegrationSuite #MCP #AI

Build MCP Servers with SAP Integration Suite | From APIs to AI

Discover how the new MCP Gateway in SAP Integration Suite enables enterprises to securely connect AI agents to existing APIs, business processes, and backend
services using the Model Context Protocol (MCP).

Join Markus Winter, Head of Product Management for SAP Integration Suite, as he explains:

✅ What MCP is and why it’s becoming the de facto standard for AI-native integrations
✅ How the MCP Gateway exposes your existing APIs as MCP-compatible tools: once, and reusable
across multiple AI agents
✅ Enterprise-grade capabilities included out of the box: authentication, authorization,
traffic management, monitoring, and governance
✅ Why you don’t need to start from scratch: build on what you already have and get ready
for the era of agentic AI

The future of integration isn’t just app-to-app anymore. It’s AI agents securely interacting
with trusted business processes and SAP Integration Suite gives you the foundation to make
it happen.

🔗 Learn more on the SAP Community: https://sap.to/6053BGzHRZ
🔗 Explore SAP Integration Suite: https://sap.to/6054BGzHRw

Chapters:
00:18 MCP Gateway is Now Generally Available
00:28 Why AI Agents Need Enterprise-Grade Integration
00:46 What is the Model Context Protocol (MCP)?
00:59 The Real Challenge: Making Existing APIs AI-Ready
01:27 Introducing the MCP Gateway: Expose APIs as AI Tools
02:04 Build on What You Already Have
02:18 The Future of Integration: AI Agents Meet Business Processes

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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/6053BGzHRc

#SAPIntegrationSuite #MCP #EnterpriseAI

SAP Transformation Lab Quick Start | Expert Talk

Discover how a leading elevator manufacturer unlocked innovation during-not after-their SAP transformation journey using SAP’s Transformation Lab Quick Start.

Join host Yannick from SAP Product Success with Alexandra Altermann from SAP and Jan Loehe from implementation partner proaxia as they explore how organizations can accelerate service innovation while already in the middle of a large ERP program. The elevator company featured here faced a complex, heavily modified ERP landscape, overloaded teams, and a deprioritized service business, yet still needed to standardize, modernize, and innovate. This Expert Talk shows exactly how they did it.

In this Expert Talk, you’ll:
✔️ Understand why innovation gets crowded out during complex ERP transformations-and how to prevent it.
✔️ Learn the key difference between a traditional proof of concept and a value prototype built on SAP standards.
✔️ Discover how the SAP Transformation Lab QuickStart delivers a hands-on, end-to-end service prototype in just 10–12 weeks.
✔️ See how omnichannel customer service, intelligent asset management, and field service excellence were modeled for a real industrial customer.
✔️ Explore how SAP Business AI and Joule support service dispatching, AI-assisted email drafting, and mobile technician workflows.
✔️ Hear the real business outcomes customers identify- from reducing technician search time and admin effort to uncovering top-line opportunities like higher contract renewal potential.
✔️ Find out why the best time to start a value prototype is before you think you need one.

Whether you’re mid-transformation on SAP S/4HANA, evaluating service management modernization, or looking to build faster stakeholder alignment before a major project commitment, this Expert Talk shows how a value prototype moves you from uncertainty to clarity- built on SAP standards, with zero guesswork.

Chapters:
00:13 – Welcome and Introduction
02:46 – Innovation challenges during ERP transformation
07:04 – Value prototype vs. traditional POC
13:44 – End-to-end architecture and live demo
20:43 – Business outcomes and value drivers
24:49 – Key takeaways and closing

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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/6056B1hvcA

#SAP #SAPBusinessAI #ERPTransformation

ContiTech’s Global Manufacturing Transformation with SAP Digital Manufacturing | Customer Insights

Discover how ContiTech built a scalable manufacturing template with SAP Digital Manufacturing to support traceability, standardization, and faster global rollouts.

In this customer success story, Hendrik Neumann and Yannick Kreuz from ContiTech join Christian Köllner from implementation partner IGZ to share how ContiTech created a modern MES foundation for its global production network. Starting with a greenfield facility in Aguascalientes, Mexico, the team implemented SAP Digital Manufacturing, built reusable templates, and established in-house capabilities for future deployments.

In this video, you’ll:
✔️ Learn how ContiTech built an MES solution from scratch in a greenfield environment
✔️ See how a lighthouse project in Aguascalientes created a template for global rollouts
✔️ Understand why ContiTech transitioned from SAP Manufacturing Execution to SAP Digital Manufacturing
✔️ Explore how full traceability supports production from material reception to finished goods
✔️ Hear how intuitive dashboards and digital workflows help operators work more effectively
✔️ Learn how IGZ transferred knowledge so ContiTech teams can support future rollouts independently
✔️ See how cloud-based manufacturing capabilities can support long-term scalability

Whether you’re modernizing manufacturing execution, moving from SAP ME to SAP Digital Manufacturing, or building a standardized rollout model across multiple plants, this story shows how ContiTech is creating a foundation for scalable, future-ready operations.

Explore SAP Digital Manufacturing:
https://sap.to/6058B18vTE

Chapters:
00:00 – Project impact and adoption
00:20 – Meet ContiTech and IGZ
00:52 – Greenfield MES and rollout challenges
01:22 – Why SAP Digital Manufacturing
01:47 – Lighthouse project in Aguascalientes
02:10 – Template scalability and knowledge transfer
02:31 – Traceability, dashboards, and business value

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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/6054B18vTK

#SAPDigitalManufacturing #SmartManufacturing #SAP

The Humanity and AI of It All: The State of Customer Experience

The state of customer experience in 2026 can be summed up simply: customers have never had more ways to interact with your brand, and they’ve never been less tolerant about friction when engaging.

While the power of technology is at its apex, so are expectations. And the gap between the two is where revenue goes to die.

Explore features designed to improve engagement and accelerate growth through product trials and tours

Brands using AI to deepen human connection by freeing up sellers, marketers, and service agents to focus on empathy, trust, and complex problem-solving are pulling ahead. Those still bolting AI onto fragmented systems, or using it purely as a cost-cutting measure, risk falling further behind.

To help organizations address the rapidly changing factors impacting CX, we’re proud to debut our first quarterly “State of” reports. Designed to pull together the latest research and data across sales, service, marketing, and e-commerce, these thought leadership pieces are available without a gate because we know that experience and expertise matter, and we want to share ours with you. (You can find links to the reports at the end of this post.)

The key takeaways from each report demonstrate that CX is no longer a single department’s job. Rather, it’s a cross-functional discipline, and the stakes for getting it wrong are higher than ever.

The cost of bad experiences is staggering

Let’s start with the number that should be pinned at the top of every leadership deck this quarter: bad customer experiences have put $3 trillion in global sales at risk in 2026, with consumers actively cutting back $2.1 trillion in spending and walking away entirely from $865 billion worth of it, according to Forbes data cited in our State of Service report. That’s not churn. That’s customers voting with their wallets in real time.

And they’re not quiet about why. A striking 82% of consumers say a brand has disappointed them, and 60% admit they don’t pay attention to brands even when their product needs are being met. Translation: satisfying the transaction isn’t enough anymore. If the experience around it feels disorganized or impersonal, customers check out.

On the service side specifically, 75% of consumers say they’re put off by disorganized brands that pass them between multiple people or teams just to solve one problem, and 46% say service flat-out feels too impersonal.

The combustible combination of sky-high financial risk and low tolerance for friction is forcing every customer-facing function to rethink how it operates.

That’s the backdrop. Now let’s talk about what’s actually happening in each corner of the customer journey.

AI is everywhere, trust in it is not

Every function is racing to embed AI, with good reason. AI-driven traffic to U.S. retail sites is up 4,700% year over year, and almost 60% of consumers have already used AI to shop, as cited in our State of E-commerce report.

On the marketing side, our report notes that AI has moved from experiment to foundational: 33% of marketing leaders are using it for hyper-personalized engagement, and 31% say predictive insights and personalization have been a top priority all year.

Meanwhile the State of Sales and Revenue report points out that digitized suppliers leveraging AI are outperforming their peers on sales goals by a jaw-dropping 110%.

But here’s the twist that ties it all together: customers don’t actually love the AI they’re interacting with.

SAP’s State of Service report underscores that point specifically:

  • 79% of Americans say they strongly prefer human support over an AI agent
  • 63% don’t believe AI can replace humans in service roles at all
  • 89% believe brands should always offer the option to talk to a real person
  • 81% believe AI is primarily being used to save the company money, not to improve their experience.

That’s the tension every function needs to sit with. AI is delivering real, measurable business value, but if customers believe that AI was deployed to cut costs rather than serve them, you might win efficiency but lose the relationship.

Trust is the currency, and it’s getting harder to earn

Each one of the reports circles back to the same word: trust. In marketing, 61% of B2B buyers say trust and credibility are the most important thing content can deliver, ranking above lead generation. Consumers are leaning on peer and creator trust more than brand messaging, too: 76% of brands report that sponsored content with creators now outperforms traditional advertising, and in social commerce, 45% of Gen Z shoppers say they’re more likely to trust a product once it goes viral.

On the e-commerce side, trust shows up as transparency. With tariffs pushing import costs up 15-30% across major categories, brands that explain price increases rather than quietly passing them along are building goodwill that pays off in retention. And in sales, the numbers show that your existing customers–the ones who already trust you–are an underused asset: 45% of revenue leaders are now focused on improving handoffs across marketing, sales, and service, while 39% are chasing expansion and upsell revenue instead of only hunting net-new logos.

The people problem behind the technology story

There’s one more thread that doesn’t get enough attention in the AI headlines: the humans delivering these experiences are stretched thin. Call center turnover is running 40-45% in 2026, spiking to 55-60% in high-stress sectors, while replacing a single agent can cost up to $46,000 when accounting for lost productivity.

As AI absorbs the easy tickets, what lands on human agents is the hard stuff: it’s complex, is emotional with high-stakes, and burnout is quietly eating away at CSAT and first-contact resolution scores. This matters because customer experience isn’t just a technology stack or a personalization engine. It’s fundamentally delivered by people; whether that’s a service agent handling an escalation, a seller navigating a buying committee, or a marketer trying to sound human in an AI-saturated feed. Protecting the people doing that work isn’t a wellbeing initiative separate from CX strategy. It is CX strategy.

Fragmentation is the enemy of good CX

If you weave every stream together, the state of CX has one clear directive: stop treating AI, data, and channels as separate initiatives owned by separate teams, and start treating the customer experience as the single thread that runs through all of them.

That means AI-shopping agents that use clean, structured product data. It means first-party data strategies that replace the crumbling third-party targeting most marketing was built on. It means service and sales teams that know exactly when to step back and let self-service work, and exactly when to step in and be human. And it means service organizations that give their people better tools instead of just more automation.

Future success won’t be shaped by the brands with the most AI; it will favor the brands that make customers feel understood, even as the experience becomes more automated. That’s not a technology bet. That’s a trust bet, and right now, trust is in short supply.

You can find our “State of” reports here:


Jessica Keehn is chief marketing officer of SAP Customer Experience.

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Less Back-and-Forth: How SAP Store Private Offers Simplify How You Buy and Sell

Enterprise software marketplaces have fundamentally changed how software gets bought and sold. What used to require months of vendor outreach, in-person meetings, and parallel e-mail negotiations can now start—and often end—inside a single platform.

Discover, try, and buy solutions from SAP and partners

The numbers reflect the shift. B2B e-commerce sales expanded 16% by 2024 to US$2.64 trillion, with direct digital channels and marketplaces seeing the strongest growth. Sellers on B2B technology marketplaces have been able to grow revenue by 10%–15%, with many closing deals worth over $1 million in ACV through these platforms. SAP Store is already part of this momentum, supporting more than 50,000 transactions, representing roughly 30%–35% of SAP sales volume, and giving partners access to more than 440,000 SAP customers across over 200 countries.

But here’s where the marketplace model runs into its limits: most enterprise deals aren’t straightforward enough for a standard checkout button.

Negotiated pricing. Custom contract terms. Procurement reviews. Regional tax requirements. Bank transfer requirements. Delayed start dates. Sixty-nine percent of B2B buyers would complete transactions of $500,000 or more without in-person interaction, but those same high-value deals involve complex approval workflows, payment terms, and stakeholder sign-offs that a flat “Buy Now” experience simply can’t handle. When a deal doesn’t fit the standard flow, it typically gets pushed outside the platform entirely—back into e-mail threads, separate negotiations, and disconnected systems that no one has full visibility into.

That’s the problem private offers on SAP Store help solve.

Instead of forcing complex deals out of the platform, customers can request a private offer directly through SAP Store, negotiate terms with the partner, and close the transaction inside the same environment where they found the solution. The deal stays connected, trackable, and consistent—from discovery to signature.

Early Talent Hiring and Development: Now’s the Moment for a Major Reset

How will organizations attract and develop the AI-native workforce they’ll need tomorrow when entry-level roles are shrinking today? Here’s the future-ready, early talent strategy you need.

Fewer opportunities for early talent 

The job marketplace has contracted significantly for those with less than five years of professional experience. Research published by SAP shows that openings in the 10 most common entry-level job titles declined by 35% in just one year, from 2024 to 2025.*

Budget constraints, hiring freezes, and uncertainty around the ROI of early talent as AI increasingly takes on routine and manual tasks are among the reasons cited by HR leaders today.  

Applications skyrocket  

AI is also having a major impact on the recruitment process. With such limited opportunities available, more than half of early talent candidates use AI to help them land a job—a process that now takes eight months on average and involves more than 300 job applications.*

HR is feeling the pressure managing the candidate pipeline, with the number of applicants per early talent job opening doubling since 2021. A high volume of candidates are submitting AI-generated résumés and applications, and it’s becoming much harder to detect high-fidelity signals around skills, fit, and potential. 

HR can strategically select and develop the workforce of tomorrow

It’s a painful scenario for everyone involved. Fragile and unsustainable. And the implications will be profound for enterprises that don’t act quickly.  

HR leaders voice concerns  

Playing out the current trajectory to its natural conclusion, what happens when all the fresh talent eventually dries up? Already, HR leaders are alarmed by this risk. “Ultimately, if we stop investing in early talent, we will wind up eliminating our talent pipeline,” one global head of early talent programs at a high-tech organization told researchers.*

A senior HR director at a high-tech organization commented: “If we continue down this path and don’t provide a way for early talent to get started, it’s going to lead to massive skill shortages in the future.” 

Widespread reductions in early talent hiring will lead to skills gaps that will prove expensive to remedy. Organizations will struggle to build company capabilities, retain knowledge, and develop future leaders.  

But by far the most common concern from leaders was around not seeing early talent as AI-native. If the AI capabilities of this cohort are overlooked, companies may miss out on a key opportunity to scale AI innovation and adoption across the business.  

What’s the answer?  

Today, there’s an opportunity for HR leaders to be more intentional and strategic, to reimagine their approach to early talent from the ground up. With the right early talent strategy, organizations can gain a competitive advantage.

Here are three steps to consider. 

Step 1: Rethink entry-level roles 

Traditionally, junior employees have mainly been given routine, repetitive tasks. Combined with frustratingly slow career progression, the result is eroding morale and commitment.  

This approach must evolve. The nature of work is changing rapidly, and early talent no longer need to take on those routine tasks. These employees need the opportunity to develop at speed and to be supported in performing work that meaningfully addresses business challenges.  

HR has the chance to reshape entry-level positions, to provide support, guidance, and tools to enable junior staff to contribute in more impactful ways. This may involve them working with proper guidance to support more critical projects, interacting with customers, and even owning some tasks end to end. 

This approach not only enables early talent to contribute more positively to the business at an earlier stage, but when combined with clear goals, regular feedback loops, and occasional coaching, it also fosters greater engagement and commitment. 

Step 2: Support your strategy with technology 

Hiring and developing early talent have become more complex—from deciphering AI-generated applications, to redesigning roles and meeting their aspirations in a fast-changing business context. And with the nature of early talent work shifting, leaders need tools to help understand the new capabilities that will predict long-term success and demonstrate the value of early talent initiatives.  

Here’s where technology can help. During the hiring process, technology can help employers see beyond the noise of AI applications and rediscover the meaningful signals they need to create candidate shortlists and strengthen hiring decisions. Meanwhile, technology can also help to maintain engagement with other high-potential candidates who applied—for when the next opportunities arise.  

Once early talent begin work, today’s technology can help you track their participation in early talent programs and progression towards their goals. It also helps facilitate individualized learning opportunities and demonstrate the ROI of your early talent investments. For research-based recommendations on the role of technology in early talent selection and development, check out this quick guide. 

Step 3: Reframe the business case for early talent 

As the nature of early talent work is changing alongside the technology used to support them, HR leaders agree that the old business case for early talent investments needs to be reimagined. Many organizations are focused on mitigating critical skill gaps and engaging in large-scale AI transformations. While early talent lack experience, they are eager to engage in continuous learning and understand how to work effectively alongside AI. 

Research also reveals that—as they work alongside modern tools and technologies—early talent can contribute to high-value, meaningful work much faster than in the past.  

A modern early talent business case is one that involves focusing on faster time to meaningful work, reducing critical skill gaps, and leveraging the AI-native capabilities of today’s entry-level workers.  

Build your early talent strategy 

Will HR leaders watch on as a generation of AI-savvy talent remains underused, or act now and build the skills pipelines necessary for a future-ready workforce? 

Get further insights on this topic by reading our report, “Early talent in peril: How HR can strategically select and develop the workforce of tomorrow.” Visit our research library to stay tuned for when phase two of this research gets published later this year. 


Dr. Autumn D. Krauss is chief scientist at SAP SuccessFactors.

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*Early talent in peril: How HR can strategically select and develop the workforce of tomorrow, SAP, 2026. 

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