Roundup: How to Explore the Next Round of Innovation
Plus: new products, AI hiring outpaces alignment and more
Podcast: How ADP Explores the Next Wave of Workplace Innovation
This week, I talk with Usman “Oz” Khan, senior vice president at ADP Ventures. The unit operates as both an incubation lab and a venture investment arm to identify emerging workplace technologies and create new growth opportunities for ADP. The goal is to balance a revenue-generating core with strategic experimentation.
AI’s Momentum in Hiring Outpaces Leadership Alignment
Artificial intelligence is rapidly becoming central to corporate talent strategy, but many organizations remain divided over how to implement it, according to research by talent solutions provider AMS.
AMS’s study found widespread agreement among C-suite executives and HR decision-makers that AI is essential to remaining competitive in recruiting. Nearly two-thirds of respondents said their organizations’ talent pools would struggle to stay competitive without AI, a figure that rose to 80% among CHROs.
But despite strong enthusiasm, execution lags. Almost half of respondents ( 47%) said HR teams and senior leadership are not aligned on AI’s role in hiring and recruitment. Meanwhile, 89% said they have not deployed AI across all major talent acquisition functions. That highlights a growing gap between AI capabilities and organizational readiness.
AMS CEO Gordon Stuart warned that companies risk falling behind without coordinated adoption. “Leaders agree AI will define the next era of talent strategy, but alignment is lagging behind capabilities,” he said.
The research also found mounting anxiety about automation’s impact on work. Seventy percent of executives worry AI will threaten job security as recruiting tasks become automated. At the same time, more than half expect to hire HR leaders experienced with AI to manage the transition.
Skills shortages and productivity demands are emerging as primary drivers of adoption. Three-quarters of respondents cited talent gaps as a major challenge, while 67% said efficiency, rather than cost reduction, is the main reason companies are bringing AI into hiring.
Ethical governance is evolving alongside adoption. Eighty-eight percent of organizations now maintain formal ethical AI guidelines, and 87% believe it’s acceptable for candidates to use AI to improve résumé.
AI Could Upend Capitalism’s Economic Foundations
Artificial intelligence may fundamentally destabilize modern capitalism as automation replaces human labor at scale, according to former Google X chief business officer Mo Gawdat.
In an interview with Business Insider, Gawdat argued that the economic logic underpinning capitalism – profiting from the difference between labor costs and the value workers produce – begins to collapse once machines perform most work more efficiently than people. “The very base of capitalism, which is labor arbitrage … is going to disappear,” Gawdat said.
After decades in senior leadership roles at Microsoft and Google, Gawdat now believes AI represents more than productivity enhancement. Instead, it threatens the wage-driven consumption model that sustains economic growth. As AI lowers production costs toward near zero, traditional concepts of pricing, scarcity and profit could erode.
Gawdat sees significant disruption ahead for both blue- and white-collar professions, forecasting unemployment rates of 20% to 50% in some sectors as automation spreads to roles ranging from analysts and writers to executives. Even corporate leaders are not immune. “Sooner or later the AI will replace them too,” he said.
The larger risk Gawdat sees is economic rather than technological. Without wages, consumer demand weakens, undermining the consumption cycle that fuels the economy. Governments may ultimately need to introduce guaranteed income systems or similar mechanisms to sustain economic activity, Gawdat believes.
Still, Gawdat emphasizes that AI itself is neutral. The challenge lies in managing the transition while human incentives remain driven by competition and profit. While capitalism may not survive in its current form, he said, the shift as an opportunity to build a more equitable economic system.
Briefs
ServiceNow launched Autonomous Workforce, AI specialists that can execute jobs with the scope, authority and governance expertise necessary for enterprise work. The company also introduced ServiceNow EmployeeWorks, which combines conversational AI and search from recently acquired Moveworks with ServiceNow’s unified portal and autonomous workflows. “The leaders realizing value from AI are investing in platforms where intelligence, execution and trust work as one system,” said Amit Zavery, ServiceNow’s president and chief product officer. ServiceNow Autonomous Workforce orchestrates teams of AI specialists with roles such as an employee service agent or a Level 1 service desk AI specialist. They work alongside people, follow established processes and learn from employee feedback, ServiceNow said. [ServiceNow]
Startup hiring platform Elly.ai launched an AI-native hiring platform after receiving $8 million in a funding round led by Sorenson Capital. The company wants to help HR teams manage fragmented recruiting stacks to ease the need for extensive manual updates and coordination across disconnected tools. The company’s platform integrates sourcing, interviewing and applicant tracking into a single system that will capture hiring insights as they emerge. The funding will support product development, customer expansion and continued investment in AI capabilities for hiring teams, the company said. [AIM Group]
AI has moved beyond pilot projects to become core business infrastructure, forcing employers to rethink leadership structures, hiring strategies and governance models, according to a report by Riviera Partners. AI is now shaping competitive positioning, operating models and enterprise value, but many organizations remain structurally unprepared for AI at scale. While companies are investing heavily in AI platforms, leadership ownership, funding models and organizational alignment often lag behind, the report said. The report said true readiness depends less on technology choices and more on clear executive accountability, shared performance metrics and integrated data and engineering teams. [Hunt Scanlon Media]
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