Ingeborg Investments

AI is disrupting every rung on the career ladder.

For decades, the path to economic mobility followed a familiar route: learn by doing, build credibility through visible work, advance through increasing responsibility and compound earnings over time. But now, many of the tasks that once built skills, credibility and career momentum are being automated or reshaped.

For women, historically the last to benefit from technological disruption and the first to absorb its costs, this is a moment of risk and opportunity.

WOMEN & WORK

AI-driven career implications

are not gender-neutral.

For women, the forces reshaping work carry both outsized opportunity and outsized risk.

Risks

Work Attribution Becomes Murky

When AI does the work, the credit blurs and people need to speak for their work. Women have historically been penalized for this.

Bias in Models Deters Adoption

Women’s AI adoption trails men’s by ~22%. Tools that don’t work for half the workforce won't get used by them.

Who You Know > What You Know

As skills are commoditized, network access becomes the new moat. This is often the moat with the steepest gender gap.

Opportunities

Scaling requires less capital

AI lowers the floor on building. All women-founded businesses have historically received 1-2% of VC. In the AI era, women may no longer have to wait on fundraising.

Reskilling & New Income Pathways Expand

Independent, software-enabled work creates routes around legacy career ladder challenges.

Interdisciplinary Degrees Gain Value

“Code × everything” becomes the default in the AI era. This should benefit women, who are more likely to pursue CS degrees when they are interdisciplinary.

THE SIGNAL

Four numbers that

frame the opportunity.

These data points show where women are already leading, where the gaps are widening, and why building with women in mind is the way to compound returns over the next decade.

Combined

CS Majors

39%

Women’s share at Northeastern climbed from 18% to 39% when CS was paired with another discipline.

Innovation Opportunity

Scale interdisciplinary computing programs

Hireability When
Women Self-Promote

↓22%

Women who self-promote in hiring contexts are penalized as less likeable and less likely to be hired, even when qualifications are identical to male peers.

Innovation Opportunity

A new layer of contribution and review tooling

Women in

Governance Roles

59%

Women hold the majority of governance, risk and compliance positions, the disciplines steering how AI is deployed responsibly inside organizations.

Innovation Opportunity

Quality assurance for agent-run businesses

Growth in

Women-Owned Firms

2×

Women-owned businesses are growing at twice the rate of all U.S. firms, the engine of the Solopreneur Renaissance.

Innovation Opportunity

Embedded expert monetization

THE OPPORTUNITY: TAM

Two market segments,

one enduring opportunity.

As the career ladder fractures, two markets are forming in parallel. Each is reshaping how work gets done and where enduring career value will be created over the next decade.

Modern Enterprise

1,000+ Employees

$9.11T

Where the focus is on redesigning human work around AI’s evolving capabilities, and where women already lead the culture, governance and people functions defining how AI gets adopted.

78% of HR and culture leadership
59% of AI governance & ethics roles
Redesigning workflows for human × agent teams

Solopreneur Renaissance

0–19 Employees

$7.54T

A new operating stack fuels a structural shift toward independent, software-enabled work, where women-owned businesses are already growing at twice the U.S. average.

49% of new businesses founded by women
2× growth rate vs. all U.S. firms
AI-native operators with no legacy stack