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The Talent Weekly: Strategic Signals for Senior L&D Buyers Investing in Internal Talent Development, Training, and Reskilling
Executive Operating Signals: As AI use spreads, PwC finds the workers doing much of the day-to-day execution are among those least likely to have adequate access to development.
Workforce Structure Shifts: Workday’s latest restructuring shows how workforce reductions and selective hiring are increasingly happening at the same time.
Capability Investment & Vendor Decisions: Pearson’s Workera acquisition brings skills assessment, targeted learning, and workforce decisions closer together in the same enterprise offering.
Regulatory & Risk Developments: California’s new laws put specific limits around where employers can rely on automated systems in discipline, termination, layoffs, and worker monitoring.
1. Executive Operating Signals
AI use is rising faster than access to development
What Happened
On September 29, PwC released its 2026 Global Workforce Hopes and Fears Survey, based on nearly 50,000 workers across 48 countries and regions. The share of workers reporting access to the learning and development resources they need fell from 59% to 51% year over year, even as workforce AI use increased by 10 percentage points. The gap is particularly pronounced among the 56% of workers PwC describes as the operational “engine room,” where only two in five report adequate access to learning resources.
Why It Matters
The issue for CHROs and CLOs is increasingly less about whether employees are using AI and more about who is being equipped to use it effectively. As adoption spreads through everyday work, uneven access to development could create meaningful differences in how quickly roles, teams, and workforce segments can adapt.
Implications for You
Enterprise-wide AI adoption figures can mask substantial differences in development access across job families, levels, and locations.
The employees using AI most frequently may not be the same employees receiving the most structured development around it.
AI-skilling strategies may need to distinguish between access to tools, exposure to AI and actual opportunities to build capability through work.
As AI changes more roles, the distribution of L&D investment across the workforce becomes a workforce-planning issue, not just a learning metric.
For Further Reading: PwC, “Global workforce divided as AI advantage accelerates for a few”
2. Workforce Structure Shifts
Workday cuts roles while continuing targeted hiring
What Happened
On September 29, Workday disclosed a restructuring that will reduce its workforce by approximately 2.5%, primarily across Product and Technology, alongside reductions in leased office space. At the same time, the company said it expects to continue hiring in key strategic areas and locations during fiscal 2027. Employee actions under the restructuring are expected to be substantially completed by the first quarter of fiscal 2028.
Why It Matters
For CHROs and CLOs, simultaneous cuts and hiring change the role of internal mobility. The challenge is not simply preparing employees for different work, but creating clearer connections between roles being reduced and the capabilities, functions, and locations where the organization is still investing.
Implications for You
Simultaneous layoffs and hiring put more pressure on companies to show why some capabilities are being reduced while others remain worth recruiting externally.
Cuts concentrated in Product and Technology suggest that even traditionally high-demand talent pools may need clearer pathways into the specific AI, product, and technical capabilities companies are still prioritizing.
Selective hiring makes skills visibility more consequential: talent teams need to know whether capabilities being recruited externally already exist among employees affected by restructuring.
As restructuring becomes more targeted, internal mobility may increasingly need to happen before formal role reductions, rather than functioning mainly as a post-layoff support mechanism.
Official source: Workday Form 8-K, September 29, 2026
3. Capability Investment & Vendor Decisions
Pearson moves deeper into skills verification
What Happened
On September 29, Pearson agreed to acquire Workera, an AI-native skills intelligence and adaptive assessment platform used by enterprises and government organizations. Workera uses role-specific scenarios and simulations to measure demonstrated proficiency, establish capability baselines, and identify skill gaps. Pearson plans to integrate the company into its Enterprise Learning & Skills business. Financial terms were not disclosed.
Why It Matters
The deal extends Pearson beyond providing learning into determining what employees can actually do with what they have learned. For CHROs and CLOs, that matters because the same capability data can increasingly inform development decisions as well as hiring, mobility, redeployment, and workforce planning.
Implications for You
Skills assessments are moving closer to the center of the learning stack, determining what development employees receive rather than simply measuring it afterward.
Combining assessment and learning gives large providers more influence over how employers define proficiency, identify gaps, and decide when a worker is ready for a role.
As capability data feeds mobility and workforce planning, buyers may need stronger standards for how skills are defined, assessed, updated, and shared across the HR stack.
The competitive question for learning platforms is increasingly whether they can verify capability and connect it to talent decisions, not simply expand their content libraries.
For Further Reading: Pearson, “Pearson acquires Workera, pioneer in AI-native enterprise assessment and skills intelligence”
4. Regulatory & Risk Developments
California puts human review into workplace AI decisions
What Happened
On September 30, Governor Gavin Newsom signed a package of workplace AI legislation. SB 947 prohibits employers from relying solely on automated decision systems to discipline or terminate workers and requires human oversight and verification. SB 951 adds technology-displacement disclosures to Cal-WARN notices, while AB 1883 restricts workplace surveillance technologies that infer emotional states or collect neural data. SB 951 and AB 1883 become operative January 1, 2027; SB 947 follows on July 1, 2027.
Why It Matters
For CHROs and CLOs, AI governance is moving into the everyday mechanics of people management. Employers will need managers and HR teams to understand not only which systems are permitted, but where human judgment must enter the process and what meaningful review looks like before an employment decision is made.
Implications for You
Manager AI training may need to cover employment decisions explicitly, particularly when managers receive scores, recommendations, or other outputs from automated systems.
Human review cannot simply become an approval step layered onto an automated recommendation; employers will need clearer expectations for what managers are expected to verify independently.
HR, legal, people analytics, and procurement may need a common inventory of where automated systems influence workforce decisions, rather than maintaining separate views of the HR technology stack.
Layoff planning now has an additional AI dimension in California, with technology-driven displacement becoming information employers may need to identify during the workforce-reduction process.
For Further Reading: Office of Governor Gavin Newsom, September 30, 2026
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