Skillsoft

People aren't waiting to be told to build AI skills. They're doing it on their own — and the data is starting to reflect that. HR Dive recently covered how organizations and employees are racing to prove AI expertise, and our own numbers tell a similar story: a 994% year-over-year increase in AI skills benchmark completions on our platform. The urgency makes sense. As our CTPO Bernard Barbour noted: "As AI becomes part of how work gets done, the cost of low-quality output and misapplied tools is becoming more visible." Read more: https://lnkd.in/ggffMVrf

The CHRO who operates as a strategic partner to the CEO shares three things with the business side that most HR leaders do not: ➡️ A common language for workforce value ➡️ Shared metrics tied to enterprise outcomes ➡️ A seat at the table where resource allocation decisions get made Without all three, “alignment” is just a slide deck. Skillsoft’s Mark Onisk and Heber Sambucetti with Ollion CEO Frank M. Castora dig into what this looks like in practice on 5 in 30, live May 19 at 12:30 PM ET. https://bit.ly/4dEo9Is

"When there's a lack of trust, there is a rise in misconduct — because it's everyone for themselves." There's been a pattern of companies making public announcements about replacing workers with AI, only to quietly rehire for those same roles months later. Asha J. Palmer, JD, CCEP, LPEC, Skillsoft's SVP of Compliance Solutions, calls it the AI boomerang — what happens when organizations make decisions based on what they hoped AI could do, not what it can actually do right now. The consequences land hardest on the people inside. Read Asha's full feature in Corporate Compliance Insights: https://bit.ly/49C0OEN

Most soft skills training teaches you about a conversation. It doesn't make you have one. CAISY™ puts learners inside realistic scenarios — a difficult customer call, a first-time manager moment, a bias-aware decision — and lets them practice responding in real time, with an AI coach giving real-time feedback. The skill builds in the doing. Not the reading.

What does it take to build a career in AI right now? Greg Fuller, VP of Codecademy, weighed in for TechTarget on what employers are looking for in AI candidates. (Hint: it's less about advanced credentials than you'd think.) Read more: https://bit.ly/41QGITh

"The people who are thriving during this change are those who think critically about what AI generates." Scott Laird, Skillsoft's VP of Growth Marketing, sat down with senior executives all wrestling with the same question: How do you lead an AI transformation when the playbook changes by the hour? What he heard is reshaping how we think about workforce structure — and why the diamond model might be the most useful frame for where work is heading. https://bit.ly/4wqe8WL

Most organizations say their people strategy is aligned to the business. But ask the CEO and CHRO to define workforce value in the same language and metrics, and very few can. That gap is where enterprise value gets lost. Frank M. Castora, Global CEO at Ollion, led transformation programs at Atos, CBRE, and Accenture where the CEO and people function had to operate as true partners. He joins Mark Onisk & Heber Sambucetti on Skillsoft’s 5 in 30 to break down what that partnership actually looks like in practice, and why organizations that get it right are pulling ahead.

Grateful to the HR leaders who joined us for an engaging roundtable on “AI-Driven Learning and the Future of Capability Building,” hosted by ETHRWorld & Skillsoft last Friday evening in Bangalore. As AI rapidly reshapes how organizations learn, adapt, and build workforce capability, the discussion highlighted a critical shift: moving beyond content consumption toward building scalable, agile, and future-ready capability ecosystems. Leaders explored how organizations are rethinking learning strategies, leveraging skill intelligence, personalization, and cross-functional collaboration to create measurable business impact. Some key takeaways from the discussion: *Moving away from the content consumption model, capability building is a long term shift that organizations are now attempting to scale quickly, given the need for agility in the age of AI. *A crucial first step in capability building is to gather data, map the workforce's skill intelligence, and then hyperpersonalize learning according to team and individual requirements *Co creation is the way for talent, learning and business leadership to work together and create the right skill journeys for the workforce. *The success of AI-driven learning can generally be measured by key metrics such as skill gap closure rate, proficiency, time-to-competence in the market, enhanced productivity, and project turnaround time. However, many large organizations investing heavily in agentic AI tools to automate workflows are seeking the true value of these investments by mapping tool utilization. *While trust in AI among the workforce is a challenge, strategic partnerships anchor the evaluation of existing learning mechanisms and platforms as organizations reimagine, redefine, remove redundancies and create value for talent and capability building. Rekha Radhakrishnan | Puja Mukerjee | Sunaina Kaul | Seetha Rani KP | Shirley Joseph | Priyanka Lenka | Pradipta Banerjee | Deepak Dobriyal | Harista Jakhar | Swaroop Kanaparthi | Manavi Pathak Ph.D. | Biju Mathew | Deepak Prateek Singh | Sudhendra Kulkarni | Vidya Gothe | Kavita S. Rao | Kriti Gutt | Binny Immanuel Dawson | Shantheri Mallaya | Divyesh Sindhwaad | Akshay Beerala | Praveen Paudyal Madanmohan Mahendru | Arjun Singh | Shubhangi Sharma | Daljeet Singh #ETHRWorld #Skillsoft #CapabilityBuilding #AIinHR #FutureOfWork #LearningAndDevelopment #HRLeadership #WorkforceTransformation