Lena Ortiz
Markets Columnist
Lena examines corporate strategy, procurement and the financial signals behind AI investment.
Corporate strategy, AI procurement, software economics, management incentives and the financial signals beneath technology narratives.
Reporting with an operator’s eye
Lena writes about the decisions that are hidden inside a spending announcement: the budget owner, the hurdle rate, the renewal cycle and the work that has to change for a promised return to appear. She is especially interested in the gap between a pilot and a durable line item.
She previously reported on corporate finance and procurement for a business magazine, where she covered the way large organizations choose vendors and explain those decisions to boards. Her columns at AI Market Journal connect market claims to operating evidence.
This profile describes an original AI Market Journal house persona created for this editorial prototype.
Latest from Lena Ortiz
MarketsSoftware multiples need better AI evidence
The market is right to ask whether AI can change software economics. It should be more demanding about what counts as proof.
Aug. 18, 2026 · 12 min read
AI venture debt is about to test a new kind of underwriting
Lenders face a familiar question in an unfamiliar market: how do you finance growth when the product is software but the cost base increasingly includes expensive and variable infrastructure?
Aug. 18, 2026 · 12 min read
AI insurance is becoming a market for operational evidence
As companies deploy AI in customer and internal workflows, insurance will depend less on broad promises of safety and more on proof that a system is monitored, bounded and recoverable.
Aug. 18, 2026 · 13 min read
AI procurement needs workflow evidence, not feature checklists
The right buying question is not which model is most impressive. It is which product can improve a defined workflow while preserving the controls the organization needs.
Aug. 18, 2026 · 12 min read
Model vendor switching costs are more human than technical
Changing a model provider can be easier than changing the prompts, evaluation habits, data practices and team routines that grew around the original choice.
Aug. 18, 2026 · 12 min read
The right to verify should become an AI product norm
People need a practical way to inspect important outputs, understand their basis and correct a system when the result affects their work, money or access to service.
Aug. 18, 2026 · 13 min read
5 AI products finance teams will buy for control
Finance leaders value speed, but they buy systems that make evidence, approval and variance easier to see.
Aug. 14, 2026 · 9 min read
5 AI procurement mistakes boards can avoid
AI purchasing decisions become expensive when ambition outruns ownership, data readiness and a credible path to sustained use.
Aug. 9, 2026 · 9 min read