The biggest challenge is that Learning and Development is not positioned as a strategic function in many organizations. Instead, L&D often operates as a function for the sake of having a function. It is rarely used by executive leadership as a strategic support capability and is more often treated as a nice-to-have necessity rather than an integral part of business decision-making.
Continuous learning has become a strategic priority, and employee training programs are a major lever in enabling workforce capability, productivity, and long-term business success as companies navigate the era of rapid technological change, job role evolution, and competition intensification. Effective corporate training programs present a means for L&D professionals to inspire performance, facilitate transformation, and link employee development with organizational objectives, apart from just delivering courses.
Markup is how much you add to your cost to get your selling price. If something costs $10 and you sell it for $15 , you added $5. That's a 50 percent markup on your cost. Where people get confused is that markup isn't the same as margin, even though the terms get used interchangeably all the time. Margin measures profit as a percentage of the selling price, and markup measures it based on your costs. Same dollar, different percentages.
The emergence of so-called "agentic AI," systems that can perform tasks independently and support decisions, plays a central role in this. Two-thirds of respondents believe that there is currently more hype surrounding agentic AI than previous technological developments. At the same time, three-quarters are still discovering how this technology can be used effectively. According to Basware CEO Jason Kurtz, the time for experimentation is over; executives expect concrete results.
Your AI pilot showed 94% accuracy improvements. The LLM is yielding solid results. You're getting defunded anyway. The reason? You solved a problem AI can solve. Your budget-holder needed you to solve theirs. Companies launch AI pilots that produce results, then stall at scale. The team's diagnosis: "They don't get it." What's really going on: These projects never earned budget-holder buy-in.
Managing AI spending has become commonplace. Two years ago, 31 percent of organizations managed AI spending; today, 98 percent do. This is according to research by the FinOps Foundation. It shows that FinOps has definitively shifted from pure cloud management to broad technology value management. AI cost management is now a top priority, while AI value management is the most sought-after skill within teams.
