Cisco's Fran Katsoudas cites 22% AI usage gap between men and women
Source: MS NOW · All MS NOW reports
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Summary
The MS NOW segment from the 3050 Summit in New York celebrates women leaders, featuring Olympic gymnast Jordan Chiles, Jordan Woods, Christy Turlington, Rita Wilson, and upcoming talks with Hillary Clinton and UAE Minister Nour Al-Khabi. It transitions to an interview with Cisco EVP Fran Katsoudas on leading in the AI era, addressing fear versus opportunity, the need for daily learning, and closing gender gaps in technology adoption.
Katsoudas cites data from the Cisco-led AI ICT Consortium, internal Cisco equality in AI usage, global training of millions, and cybersecurity job growth. Sourcing mixes named corporate data, consortium reports, and general statistics; the conversation promotes mentorship across generations and women's voices shaping AI outputs.
Editorial Assessment
The broadcast is largely accurate on key claims but presents a promotional, optimistic framing of both the 3050 Summit and Cisco's initiatives that could skew viewers toward seeing AI adoption gaps as easily solvable through corporate training alone. Viewers miss broader context: while the 22% usage gap is real and documented across global studies, women remain significantly underrepresented in AI jobs (around 22% of professionals) and especially leadership (13% of C-suite AI roles). The segment correctly notes that biased inputs produce biased outputs, yet omits how current AI systems already reflect historical underrepresentation of women. Cybersecurity opportunity claims hold up, with a documented global gap near 4.8-5 million roles, though many skew senior-level as stated. Overall, an inspiring but lightly contextualized corporate-friendly discussion.
Key Moments
92% of roles have already been shaped by AI, per AI ICT Consortium which Cisco leads
Cisco's 2024 Consortium report explicitly states 92% of analyzed ICT jobs face high or moderate transformation due to AI; 2025 update notes 78% now require AI skills.
22% difference in frequency that men use AI in the workplace versus women
Matches Harvard Business School 2026 synthesis (men 47.8% vs women 39.3% adoption, ~22% relative gap) and Lean In findings on daily workplace use.
At Cisco we see no gap between men and women in AI usage
Internal Cisco claim presented without independent verification or public data; contrasts with persistent external gaps documented in Pew, Harvard, and LinkedIn research.
Last year Cisco trained about 6.5 million learners around the globe
Cisco FY25 reports 5.3 million Networking Academy learners plus additional internal/external programs; figure is directionally accurate but appears rounded up from official 5.3M.
Around the world there are almost 5 million cybersecurity jobs open that we don't have the talent to fill
ISC2 2024/2026 data consistently report a 4.8 million global cybersecurity workforce gap with 5.5 million active professionals.
Notable Concerns
- Promotional tone for Cisco and the 3050 Summit blurs news with partner content
- Generalizes consortium ICT findings to all 'technology roles' without caveat
- Limited discussion of structural barriers beyond access and training
Sources Consulted
- The Transformational Opportunity of AI on ICT Jobs
- Global Evidence on Gender Gaps and Generative AI Over Time - Harvard Business School
- Cisco FY25 Purpose Report
- ISC2 Cybersecurity Workforce Study (4.8M gap)
- The Gender Gap in AI - Pew Research Center
- AI Gender Gap at Work - Lean In
- The Triple Penalty: Mapping the Gender Gap in the AI Economy - LinkedIn