November 24-30, 2025:
• Improving on slow and often inaccurate: Aspen’s real time labor market update amid BLS delays;
• Finding a way to raise money: Venero Capital on Raising VC Funding as a Non-AI SaaS Company;
• Learning how best to use the stuff: Survey finds agentic AI blurs line between tool & teammate;
• Making ROI the key criterion: Focused on impact: How McKinsey is rewiring business with AI;
• Forcing workers into “quiet use”: Lack of employer support keeps workers’ AI use under wraps.
• TAtech North America 2026 – Get in on the Early Bird Discounts and register right now for the largest gathering in the world of talent tech CEOs, senior execs and rising stars. Network for competitive intelligence; meet in the Deal Center to explore partnerships and take a look at leading edge products that are entering the market. May 6-8 in Charleston, South Carolina.
Seating is limited, so register today!
The federal government finally released the delayed September BLS Employment Situation Report yesterday, more than six weeks after the expected publication date. While the data provides a consistent snapshot of labor-market conditions, its timing and subsequent revisions underscore a long-standing challenge with relying solely on government labor statistics: even when the numbers are released, they are often already outdated and can be untrustworthy.
AI is reshaping venture capital, concentrating funding and attention on a narrow set of AI-native companies and leaving many strong non-AI SaaS businesses struggling to raise follow-on rounds. This is what is happening, why it matters, and how founders can adapt their financing and exit strategies in the current environment.
Agentic AI — systems that can plan, act, and learn on their own — is being embraced by organizations at a speed that outpaces the adoption of traditional and generative artificial intelligence. In less than two years, 35% of companies are already exploring agentic AI, with another 44% of companies planning to deploy it soon. However, few organizations have developed the management frameworks necessary for redesigning their workflows, governance models, investment planning, and talent strategies to keep up with this unprecedented pace.
Despite the explosion of new tools, most organizations have yet to see clear financial returns from AI. “You see AI everywhere except on the bottom line,” said Asutosh Padhi, a senior partner and McKinsey’s global leader of innovation and strategy. “The companies that will win the next decade aren’t the ones chasing the newest tools—they’re the ones turning innovation into sustained impact.”
Even as 80% of U.S. employees use artificial intelligence at work, 57% say they’re reluctant to tell their manager or colleagues they do, according to results of a survey by software company Cornerstone OnDemand Inc., released Wednesday. However, rather than being driven by embarrassment, shame or fear of job loss, workers are staying silent because they lack training, the survey found. Only 44% of U.S. employees have received AI training, and just 16% received that training often.
• TAtech North America 2026 – Get in on the Early Bird Discounts and register right now for the largest gathering in the world of talent tech CEOs, senior execs and rising stars. Network for competitive intelligence; meet in the Deal Center to explore partnerships and take a look at leading edge products that are entering the market. May 6-8 in Charleston, South Carolina.
Seating is limited at all events, so register today!
