MIT Technology Review · Sep 3, 2025
MIT Technology Review’s sponsored feature argues companies face pressure to prepare for AI
Markdown · JSON · Original source
Published September 3, 2025, MIT Technology Review’s sponsored feature argues that companies face pressure to deploy AI while many are not ready to use it at full potential. Patrick Milligan, Ford’s chief information security officer, says the change could affect society as well as companies; Cisco’s Jeetu Patel warns that waiting too long risks irrelevance, including from competitors using AI better. The feature reports that 98% of companies feel greater urgency and 85% believe they have less than 18 months to deploy an AI strategy before negative business effects. Yet just 13% say they are ready to use AI to its full potential, and 68% describe their infrastructure as moderately ready at best. The article identifies compute power, network performance, cybersecurity, observability, well-managed data, company culture, and talent development as needed capabilities. Its account makes the tension between deployment pressure and readiness central: Patel’s warning is about people and companies losing ground to others who use AI better, while Milligan frames the significance as extending beyond business. The feature gives no survey methodology or basis for its reported percentages, so how readiness and urgency were measured remains unclear.
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
MIT Technology Review · Article
Source details
Original source date: Sep 3, 2025 (2025-09-03T08:38:43Z).
Date basis: Date from the publisher’s own records, through its API.
Added to Escape Meridian: 2026-11-12T07:28:23.433Z. First observed: 2026-11-04T14:35:45.452Z. Retrieved: 2026-11-04T14:37:23.938Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
Text as retrieved on November 4, 2026; originally published September 3, 2025. This is sponsored content produced by Insights, MIT Technology Review’s custom content arm, not its editorial staff. The retrieved text gives no survey methodology or basis for the reported percentages.
Open question
How were the reported levels of urgency and AI readiness measured, and what do they mean in practice for companies’ deployment plans?
Source-stated
MIT Technology Review’s sponsored feature reports that most surveyed companies feel increased urgency to deploy AI.
98% say they feel an increased sense of urgency in the last year.
Source-stated
The feature reports that many companies expect negative business effects if they do not deploy an AI strategy soon.
85% believe they have less than 18 months to deploy an AI strategy or they will see negative business effects.
Source-stated
The feature reports a gap between companies’ AI ambitions and their self-assessed readiness.
just 13% of companies globally say they are ready to leverage AI to its full potential.
Source-stated
The feature says infrastructure is a barrier to adopting and scaling AI.
Two-thirds (68%) of organizations say their infrastructure is moderately ready at best to adopt and scale AI technologies.
Source-stated
Jeetu Patel warns that waiting to adopt AI risks a company becoming irrelevant, and describes competition from people or companies that use AI better.
If you wait for too long, you risk becoming irrelevant
Source-stated
Patrick Milligan describes the potential significance of AI as extending beyond companies to society.
I don’t think anybody really has a full view of the significance of the change this is going to have on not just companies but society as a whole
Source and contributor context
MIT Technology Review · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Editorial provenance
Version 1. Publication ID: cc8989a1-1efb-522b-f504-470eeaa43c05.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-12T07:23:52.496Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: d8f75872ec91baed7cedcece2610e2706fa2641f7b2792265ae59d34944b2247. Source text hash: a75f737d808195e030a274836fd2e1efaff0fa6fcfd8ac49b25d662cd7cca5d4.
Revision and source-check history
Version 1 · 2026-11-12T07:28:23.433Z
MIT Technology Review’s sponsored feature argues companies face pressure to prepare for AI
Published September 3, 2025, MIT Technology Review’s sponsored feature argues that companies face pressure to deploy AI while many are not ready to use it at full potential. Patrick Milligan, Ford’s chief information security officer, says the change could affect society as well as companies; Cisco’s Jeetu Patel warns that waiting too long risks irrelevance, including from competitors using AI better. The feature reports that 98% of companies feel greater urgency and 85% believe they have less than 18 months to deploy an AI strategy before negative business effects. Yet just 13% say they are ready to use AI to its full potential, and 68% describe their infrastructure as moderately ready at best. The article identifies compute power, network performance, cybersecurity, observability, well-managed data, company culture, and talent development as needed capabilities. Its account makes the tension between deployment pressure and readiness central: Patel’s warning is about people and companies losing ground to others who use AI better, while Milligan frames the significance as extending beyond business. The feature gives no survey methodology or basis for its reported percentages, so how readiness and urgency were measured remains unclear.
Original source
MIT Technology Review · Article
Source details
Original source date: Sep 3, 2025 (2025-09-03T08:38:43Z).
Date basis: Date from the publisher’s own records, through its API.
Added to Escape Meridian: 2026-11-12T07:28:23.433Z. First observed: 2026-11-04T14:35:45.452Z. Retrieved: 2026-11-04T14:37:23.938Z.
Limits
Text as retrieved on November 4, 2026; originally published September 3, 2025. This is sponsored content produced by Insights, MIT Technology Review’s custom content arm, not its editorial staff. The retrieved text gives no survey methodology or basis for the reported percentages.
Open question
How were the reported levels of urgency and AI readiness measured, and what do they mean in practice for companies’ deployment plans?
Source-stated
MIT Technology Review’s sponsored feature reports that most surveyed companies feel increased urgency to deploy AI.
98% say they feel an increased sense of urgency in the last year.
Source-stated
The feature reports that many companies expect negative business effects if they do not deploy an AI strategy soon.
85% believe they have less than 18 months to deploy an AI strategy or they will see negative business effects.
Source-stated
The feature reports a gap between companies’ AI ambitions and their self-assessed readiness.
just 13% of companies globally say they are ready to leverage AI to its full potential.
Source-stated
The feature says infrastructure is a barrier to adopting and scaling AI.
Two-thirds (68%) of organizations say their infrastructure is moderately ready at best to adopt and scale AI technologies.
Source-stated
Jeetu Patel warns that waiting to adopt AI risks a company becoming irrelevant, and describes competition from people or companies that use AI better.
If you wait for too long, you risk becoming irrelevant
Source-stated
Patrick Milligan describes the potential significance of AI as extending beyond companies to society.
I don’t think anybody really has a full view of the significance of the change this is going to have on not just companies but society as a whole
Source and contributor context
MIT Technology Review · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Editorial provenance
Version 1. Publication ID: cc8989a1-1efb-522b-f504-470eeaa43c05.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-12T07:23:52.496Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: d8f75872ec91baed7cedcece2610e2706fa2641f7b2792265ae59d34944b2247. Source text hash: a75f737d808195e030a274836fd2e1efaff0fa6fcfd8ac49b25d662cd7cca5d4.
uncertain · 2026-11-12T07:23:52.496Z · anthropic/claude-opus-5.5
Publication: cc8989a1-1efb-522b-f504-470eeaa43c05
attribution — uncertain: The reading correctly calls this sponsored content and its limitations credit Insights, MIT Technology Review's custom content arm, rather than editorial staff. It never says the piece was produced in partnership with Cisco, though it quotes Cisco's president Jeetu Patel as a central voice. That sponsor relationship matters for how readers weigh his urgency warning. Smallest repair: state that the feature was produced in partnership with Cisco.
In partnership withCISCO
summary — pass: The reading accurately conveys the urgency-versus-readiness argument, the reported percentages, the needed capabilities and both speakers' framing, including Patel's force about others who use AI better. The terms are understandable to a general reader. Its note that the retrieved text gives no methodology is fair, though the source points readers to a downloadable report that may contain one.
98% say they feel an increased sense of urgency in the last year.
date — pass: September 3, 2025 matches the UTC calendar day of originalPublished, 2025-09-03T08:38:43Z. The related-story sidebar may contain later material, but the reading neither uses nor relies on it. The source is a publisher page, not an archive copy, and the reading presents no hindsight.
support — pass: Each claim is attributed to the feature or its named speakers and is supported by an exact source passage. The reading presents the survey figures as reported, not as verified, and adds no unsupported benefits or costs.
Two-thirds (68%) of organizations say their infrastructure is moderately ready at best to adopt and scale AI technologies.
media — pass: No media was selected and no verified candidates were supplied.
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