Artificial Intelligence Got Cheap, But Survival Is More Expensive Than Ever – Ecomotive

The first educational event “Making income from artificial intelligence on Instagram” was held on December 30, 1404 under the auspices of Majan Educational Institute and Adminplus; An event in which panel guests discussed the shifting center of gravity of content creation with AI, freelancing opportunities in the global market, and the infrastructure and cost challenges of professional use of the tools.

“The death of content” and the shift of focus to “content architecture”

In this event, Azarakhsh Ziyai, consultant and lecturer of digital transformation, said about a concept that he described as “the death of content”; Not in the sense of the end of content, but in the sense of “merely producing content” becoming less important in front of the skill that is called content architecture.

Referring to the growth of artificial intelligence-based image production and its effect on marketing, he emphasized that even if it seems at first glance that the work of administrators and freelancers will become easier, the competition will become tougher in the future. Because the advantage is transferred from “production” to the design of narrative structure, framing, packaging and scenario layout. Ziyai also talked about the possibility of the formation of a wave of “single unicorns” and the opportunities that will open up for young people from 2025.

Artificial Intelligence at Large Scale: “Personalization” and the Market Move from Horizontal to Vertical

Pouria Haddad, the CEO of Philager, considered one of the key advantages of AI to be personalization on a large scale; A capability that, according to him, humans cannot handle alone. Haddad explained that the market is moving from general (horizontal) models to specialized and domain-oriented solutions (vertical); Where the real value comes in “customizing” models for a specific task.

He described two paths to “really money-making” freelancing:

• Customization of models with approaches like RAG for different businesses

• AI Agents to automate workflows (from text generation to image and video and publishing)

From ‘Hypecycle’ to AI National Bottlenecks: Energy and Data

In another part of the panel, Mahmoudreza Farhadi, Neobank and Fintech business consultant, explained by referring to the logic of the “technology life cycle” (hype cycle) that not all technology waves follow the same path and some (such as Metaverse) lose their breath in the fall phase. At the same time, he said about the two big bottlenecks of AI development: energy/electricity and data; And that the scale of investment and infrastructure sometimes exceeds the capacity of a company and takes on a national and geopolitical flavor.

A practical account of the use of AI in product development: “1.5 billion tomans” against “20 dollars”

Ali Naderi, the founder of Flochet, explained in his experience-based account of infrastructure, that instead of outsourcing the management and construction of the infrastructure with a proposed cost of “about one and a half billion tomans”, relying on tools based on artificial intelligence and the “Infrastructure as Code” approach, he was able to implement the infrastructure in a short time and at a much lower cost; A narrative that was accompanied by an emphasis on the speed of development and continuous release of features.

The “hungry market” and an interface model between the traditional employer and AI

Maryam Majidinejad also tackled a new job requirement: formation of “intermediary” roles; People who both understand the language of business and know how to work with AI properly—from writing prompts to getting actionable output for small businesses.

He also pointed to a practical challenge: Professional use of multiple AI tools is expensive and can be a barrier for newcomers. In the following, the design of a Telegram-based robot/assistant was discussed for easier access to features such as story creation, product photography, summarization, translation, and idea generation; Claiming that the goal is to “pave the way” for people who want to enter the job market faster.

The first educational event “Monetizing Artificial Intelligence on Instagram” tried to present a more realistic picture of the future of content production: where “production” becomes cheaper and more ubiquitous, but competitive advantage moves to content architecture, domain expertise, personalization and automation; And at the same time, challenges such as the cost of tools, infrastructure, and error detection skills of AI outputs (delusions) still remain.