The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them safely.
The rapid advancement of large language models makes it increasingly feasible for non-programmers to leverage AI for bespoke software development, making 'prompt engineering' a critical skill.
This development illustrates a significant shift in software creation, empowering individuals and small teams to bypass traditional development cycles and commercial software, potentially disrupting established SaaS markets.
The barrier to entry for creating custom software is dramatically lowered, shifting value from off-the-shelf solutions to rapid, AI-assisted development of personalized tools.
- · AI platform providers
- · Individuals/businesses with niche software needs
- · Prompt engineers/AI-savvy users
- · Open-source AI tool developers
- · Traditional SaaS companies
- · Proprietary software vendors
- · Legacy IT departments
- · Entry-level software developers
More custom, domain-specific software solutions emerge, built by end-users.
Reduced reliance on third-party software, potentially leading to a fragmentation of the software market or a consolidation around powerful AI agents.
New legal and ethical questions arise regarding AI-generated code ownership, security, and potential biases embedded inadvertently.
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Read at ZDNet — AI