22/22 Universities and educational institutions have a unique opportunity to renew interest in foundational education, serving as the cornerstone for business and innovation while addressing unmet demand that private initiatives cannot fulfill.
21/22 Proper use of AI and technology will act as a rapid growth driver for organizations with the right processes, personnel, vision, and motivation.
20/22 Training employees to effectively use AI will become a critical strategy for maintaining competitive advantage.
19/22 Project managers and clients are largely unprepared for the paradigm shift generative AI will bring, leading to inertia in traditional development processes for the next few years.
18/22 Prompt engineering will become a foundational skill, comparable to proficiency in Excel or learning a foreign language.
17/22 For startups and innovators, generative AI will lower replication costs to nearly zero, creating competitive challenges.
16/22 Generative AI will significantly expand the scope of work for developers, creating new opportunities.
15/22 Verified knowledge bases within specific domains will become highly valuable assets.
14/22 Large language models will evolve to include personalities and political ideologies, enabling fine-tuned models for political parties and organizations.
13/22 AI will reach a point where it generates new knowledge and mimics human reasoning processes.
12/22 Fundamental education will become more valuable than ever, increasing the demand for skilled mentors, speakers, and lecturers.
11/22 At some point, distinguishing AI-generated text, images, and eventually video will become nearly impossible. Regulatory and methodological shifts will follow.
10/22 Video courses will be created using digital avatars and synthetic voices, even replicating specific lecturers, reducing production time and costs.
9/22 Tools for summarizing meetings will become commoditized, making reliance on external tools for this purpose uncommon.
8/22 Companies will increasingly develop their own OneLake/Data Warehouses, driving true digital transformation.
7/22 Middle managers will need to learn how to train basic machine learning models, while employees will adopt low/no-code automation tools.
6/22 Data and AI fundamentals will become essential knowledge for professionals in most industries.
5/22 SEO will evolve significantly as search transitions to generative AI models.
4/22 QA engineers can pivot toward Automated QA and UI-Automated QA roles, leveraging new opportunities.
3/22 Certain roles, such as technical writers, QA engineers, and developers of plugins or modules, are more susceptible to disruption.
2/22 DevOps roles will remain critical as infrastructure and operations grow increasingly complex.
1/22 AI is unlikely to replace software developers in the near future due to the field's complexity and the emphasis on integration-heavy tasks.
Thread: 22 predictions for (Generative) AI.
Introduction:
- Ukrainian
- PhD. in Computer Science
- CEO DevRain, Microsoft Data & AI Partner
- CTO DonorUA, #1 platform for blood donors
- 14+ years as Microsoft Regional Director
- 12+ years as Microsoft AI MVP
- author of "ChatGPT, DALL-E, Midjourney. How generative AI changes the world" book