{"id":88388,"date":"2026-03-11T22:44:03","date_gmt":"2026-03-11T22:44:03","guid":{"rendered":"https:\/\/degreed.com\/experience\/?p=88388"},"modified":"2026-03-11T22:44:10","modified_gmt":"2026-03-11T22:44:10","slug":"workforce-transformation-in-the-age-of-intensification","status":"publish","type":"post","link":"https:\/\/degreed.com\/experience\/blog\/workforce-transformation-in-the-age-of-intensification\/","title":{"rendered":"Workforce Transformation in the Age of Intensification"},"content":{"rendered":"\n

AI is everywhere. Work has become even more focused on speed and efficiency. Technology has outpaced how humans traditionally learn. Teams and budgets for development are shrinking. But the big ask for \u201cmore\u201d still remains. More results. More productivity. More ROI. Now.<\/p>\n\n\n\n

The rise of AI tools has led us to demand more from the same people. But they\u2019re struggling to keep up. All the focus has been on implementing the tools, with much less emphasis on enabling the humans.<\/p>\n\n\n\n

It\u2019s a paradox and a reality for HR, learning, and tech leaders right now. The company needs to show ROI on their AI investment, but the missing ROI isn\u2019t a technology problem, it\u2019s a human readiness gap.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Last week, Degreed CEO David Blake took the stage at LENS 2026 to put a name to this new era of highly demanding work: The Age of Intensification.<\/strong><\/p>\n\n\n\n

In this new age, work, learning, and talent development has to change. At LENS, industry experts and Degreed clients and leaders touched on these changes and how to adapt. Here were some of the highlights:<\/p>\n\n\n\n

Humans can still win in the Age of Intensification<\/strong><\/h3>\n\n\n\n

The world is compressing and the rate of change is accelerating. Yet, AI hasn\u2019t reduced human workload. It\u2019s expanded what\u2019s possible and raised the base level (and the bar) for performance. <\/p>\n\n\n\n

Now, the ask is for people to do more in the same amount of time. Humans have to learn to use AI, and use it well. All without an over-reliance on the technology. It\u2019s demanding. Intense.
<\/p>\n\n\n\n

Yet, having access to AI tools doesn\u2019t inherently make them useful. It\u2019s only when those tools are elevated by people and embedded into processes that the real ROI will emerge. And after the massive investment businesses made on AI, leadership teams expect that measurable return. <\/p>\n\n\n\n

\u201cYour CEOs need to see a return on it, and that pressure and that mandate is coming to you,\u201d Blake said.<\/p>\n\n\n\n

\"degreed-lens-david-blake\"<\/figure>\n\n\n\n

Transformation isn\u2019t optional. The only question is whether it\u2019s intentional and effective. And technology alone can\u2019t drive that kind of transformation. We know because the technology is here, but the return isn\u2019t. Only 25% of AI initiatives deliver expected ROI, according to IBM<\/a>.<\/p>\n\n\n\n

In this Age of Intensification, there\u2019s also a persistent fear that AI will displace human work. But the message from LENS was more nuanced. Not only can AI not replace human work<\/em>, but it was never designed to. According to the world\u2019s first Chief AI Officer, Sol Rashidi, it was meant \u201cto facilitate, to accelerate, to amplify the magic that we bring to the workforce.\u201d<\/p>\n\n\n\n

Although it\u2019s easy to fawn over the capabilities AI has to offer, it\u2019s missing critical logic, novelty, leadership, and judgment. Anyone can access AI tools, but your company is the only one with your unique workforce characteristics and skill sets. That\u2019s what defines your business.<\/p>\n\n\n\n

Or, as Rashidi reminded LENS attendees: \u201cTechnology is amazing. We’re more amazing. Don’t lose that.\u201d<\/p>\n\n\n\n

\"rashidi-lens-2026\"<\/figure>\n\n\n\n

Learning must become as dynamic as change<\/strong><\/h3>\n\n\n\n

When change is continuous, development can\u2019t be episodic. Static learning content isn\u2019t going to cut it when the entire world is becoming responsive and personalized.<\/p>\n\n\n\n

During his session on Degreed AI Labs, Taylor Blake described what an AI-native development model could look like: \u201cI’m going to propose that the AI Native Model is going to look something like this. Learning experiences are going to be more specialized to the task. They’re going to be more personalized to the individual. They will be more situational to the moment.\u201d<\/p>\n\n\n\n

This principle also applies more directly to the process of creating and distributing learning content. As pointed out in Financial Times<\/a>, traditional learning programs can take three to six months to roll out, and AI can change entirely in that time. That\u2019s why, although learning teams are masters at traditional content authoring and curation, this new age is calling for something more dynamic: a product mindset that plans for a fast launch and regular adjustments. <\/p>\n\n\n\n

Learning can no longer be a one-time program rolled out annually. <\/p>\n\n\n\n

“We’re going to iterate and learn as we go,” Zoe Botterill, Head of Learning and Development at Pearson, said.<\/p>\n\n\n\n

Efficiency alone isn\u2019t enough<\/strong><\/h3>\n\n\n\n

When pressure increases, most organizations add more\u2014more programs, more tools, more initiatives. In fact, McKinsey<\/a> has found that employees now experience 5x more change programs than they did a decade ago. But the reality is that 59% of change initiative value is lost between the initial idea and the execution of these initiatives. This explains in part why 89% of leaders are looking for a drastic change in how their organizations develop employees. They understand that this is where the value will be created or lost when it comes to AI investments.<\/p>\n\n\n\n

\u201cWhen pressure goes up, most organizations respond by adding something. My challenge to you is, as a high-performing team: Pause. Think through how you can simplify. Focus on the capabilities, the skills, and the workflows,\u201d Jennifer Sutherland, Global Head of Learning Enablement at ZS, said.<\/p>\n\n\n\n

More isn\u2019t always better. In fact, sometimes, it\u2019s detrimental. Rashidi told LENS attendees that the endgame isn\u2019t to be more productive, it\u2019s to be more effective: \u201cWe’ve got to help our organizations to stop being overly obsessed with productivity and efficiency, because this just measures \u2018more.\u2019 But what if we are doing \u2018more\u2019 of the wrong things?\u201d<\/p>\n\n\n\n

Efficiency for the sake of efficiency isn\u2019t returning the dividends many leaders think. In fact, in some areas, it\u2019s weakening your overall strategy.<\/p>\n\n\n\n

\u201cEfficiency doesn’t create strength in your workforce,\u201d Blake said. \u201cThink about it. If you can automate away a job, you’ve probably already done so.\u201d<\/p>\n\n\n\n

\"degreed-lens-event-2026\"<\/figure>\n\n\n\n

Safe experimentation and practice are key<\/strong><\/h3>\n\n\n\n

Another critical piece of agility is having the curiosity and courage to experiment is becoming more and more important, especially as technology continues to evolve at high speed.<\/p>\n\n\n\n

“You have to be able to fail because it’s in the failure that you find the gold, the treasure, and the lessons,” Antonia Jackson, Learning and Technology Partner at HubSpot, said.<\/p>\n\n\n\n

And part of that experimentation means pressure-testing your systems and tools. If you\u2019re trying a new technology, Carlo Jos\u00e9, Global Head of Learning and Development from GSK, said pilots are exactly the right time to challenge the system.<\/p>\n\n\n\n

“Break it now while we’re in testing stages so we can figure out how to evolve,” Jos\u00e9 said.<\/p>\n\n\n\n

Another way this principle comes into play is in learning itself. New AI tools, like Degreed Maestro<\/a>, give users the ability to practice, receive feedback, and even fail at new skills like presentations, sales pitches, or business-critical conversations. And with AI, they can do so without judgment.<\/p>\n\n\n\n

TEKSystems, for example, used Maestro<\/a> to deliver personalized practice opportunities to their sales teams at speed and scale.. And here is some of the feedback they received: <\/p>\n\n\n\n

\u201cTheir confidence grew,\u201d Stefanie Kuehn, Senior Program Manager, Organizational Development at TEKSytems said. \u201cThey were able to role play in a safe environment, and that meant not having a leader or a mentor over your shoulder listening in. But they were able to do the Maestro experiences multiple times until they felt that they were good enough to then go ahead and approach that call or test out their ability.\u201d<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

Human Readiness Drives the Future<\/strong><\/h2>\n\n\n\n

The biggest takeaway we kept hearing over and over again? Technology alone isn\u2019t enough for AI transformation. You can have all the AI tools in the world, but if your workforce is unprepared, you won\u2019t see that ROI.<\/p>\n\n\n\n

\u201cIt’s about people and how people use technology for the business,\u201d Ingrid Urman, Global L&D Director at Tenaris, said.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Businesses aren\u2019t seeing the ROI from AI because even though they got the tools, they didn\u2019t focus on upskilling the people. If we expect people to do more work in the same amount of time during this Age of Intensification, then we have to empower them to be proficient and effective using these tools. <\/p>\n\n\n\n

This is the real work of transformation: building human capability to match technological ambition.<\/p>\n\n\n\n

The insights from the LENS stage are an indicator of what\u2019s coming, but amidst all of that, it\u2019s crucial to remember our role as humans in shaping that future. <\/p>\n\n\n\n

\u201cFind your edge,\u201d Rashidi said. \u201cContinue to be creative. Connect the dots where machines cannot. Be accountable for your organization. You have a moral responsibility.\u201d <\/p>\n\n\n\n

Technology will keep accelerating. Expectations will keep rising. Human transformation is what determines whether businesses keep up or fall behind.<\/strong><\/p>\n\n\n\n

For more information on the Degreed product announcements and updates made at LENS, please register for our <\/em>six-part Degreed In Action webinar series<\/em><\/a>or read our product announcement press release.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

AI is everywhere. Work has become even more focused on speed and efficiency. Technology has outpaced how humans traditionally learn. Teams and budgets for development are shrinking. But the big ask for \u201cmore\u201d still remains. More results. More productivity. More ROI. Now. The rise of AI tools has led us to demand more from the […]<\/p>\n","protected":false},"author":58,"featured_media":88410,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[580],"tags":[],"post_folder":[],"class_list":["post-88388","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-workforce-business-impact"],"acf":[],"yoast_head":"\nWorkforce Transformation in the Age of Intensification - Degreed<\/title>\n<meta name=\"description\" content=\"The world is moving fast and we are struggling to keep up. 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