How could the hurdles in implementing artificial intelligence affect Akamai Technologies?
AI implementation challenges may affect Akamai's data service demand If the industry struggles to move past these implementation hurdles, the overall pace of AI adoption could slow. Since Akamai Technologies provides critical content delivery network, cloud, and cybersecurity services necessary for large-scale, dynamic data flows, a slowdown in AI deployment could impact the demand for its core infrastructure services.
- Effect
- Mild negative
- How direct
- Brind's reasoning
- When
- Within months
- The story
- No new developments lately
How it reaches Akamai Technologies
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McKinsey reported that nearly two-thirds of enterprises have experimented with AI agents, yet fewer than 10 percent have scaled them to deliver tangible value. Eight in 10 companies cite limitations in data as a roadblock, with the main challenge being discernment—finding the right information that matters to a specific business.
The full event1independent outlet -
For AI systems to function effectively—especially those needing to 'personalize the signal' and 'connect to live information'—they require high-speed, secure, and reliable data pipelines. Akamai Technologies provides the content delivery network, cloud services, and cybersecurity required to manage this massive, dynamic data flow. If the industry struggles to overcome the data and relevance challenges, leading to a slower pace of successful AI deployment, the demand for the underlying, high-reliability data infrastructure provided by Akamai Technologies could slow or shift.
No report states this step directly. Brind drew it from the reporting on each side of it, so treat it as an informed guess.
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American content delivery network, cybersecurity, and cloud service company
Everything about Akamai Technologies
Tap any step to see the evidence behind it.
The facts so far
As reported. Each one links to where it comes from.
- Nearly two-thirds of enterprises have experimented with AI agents, yet fewer than 10 percent have scaled them to deliver tangible value.newsweek.com
- Eight in 10 companies cite data limitations as a roadblock.newsweek.com
- A 2025 report by MIT's NANDA initiative found that 95 percent of organizations in its study were seeing zero return from their generative AI investments.newsweek.com
Why it matters
The stakes are high because AI is widely viewed as the next major technological shift, promising to solve complex information challenges. For Akamai Technologies, which operates as a critical layer of digital infrastructure, the success of AI adoption is directly tied to the need for its services—secure, fast, and reliable data delivery.
This challenge is not unique to one company; it is a systemic issue across the enterprise sector. The reports indicate that the problem is not the lack of powerful AI technology, but the difficulty in applying it effectively, requiring businesses to solve the 'business data problem' of knowing what information matters and when it changes.
What we don't know yet
- Will new AI models emerge that inherently solve the data relevance and discernment problem?
- Will regulatory changes force companies to prioritize specific types of data infrastructure providers?
What would change this answer
Who else could feel it
Other possible ripples from the same event.
Reporting
- newsweek.comThursday
Keep going
Brind's analysis is written by AI from the reporting linked above and can be wrong. This explainer is a possibility worth considering, not a forecast: steps marked as Brind's reasoning are not stated in the reporting. It is not investment advice; do your own research.