PHP has been declared dead so many times that at this point, each announcement makes it more credible, not less. The language powers roughly 77% of the web's server-side code — including WordPress, which alone runs 43% of all websites. PHP 8.x is a genuinely modern language with JIT compilation, union types, named arguments, and a performance profile that competes comfortably with alternatives.
Here's my honest take after using it professionally for a decade and delivering 120+ projects on it.
Where PHP still wins in 2026
Hosting cost and availability. Shared hosting with PHP support is ubiquitous and cheap. For clients who need reliable, low-cost hosting — especially small businesses and startups in markets like Syria, Turkey, and the Gulf — PHP's hosting ecosystem is unmatched. A comparable Node.js or Python deployment needs more infrastructure consideration and usually costs more.
Talent availability in the Arab market. Finding a competent PHP developer in Syria, Turkey, or Egypt is significantly easier than finding one with equivalent depth in Go or Rust. For team-based projects, the talent pool matters as much as the language performance benchmarks.
Ecosystem maturity for business applications. Laravel, the dominant PHP framework, has one of the best developer experiences of any web framework. Eloquent ORM, Livewire, Filament for admin panels, and a vast package ecosystem mean that business applications — CRM, ERP, booking systems, portals — can be built rapidly without reinventing fundamentals.
Maintenance cost. A PHP application built in 2018 is still maintainable in 2026. The same isn't always true for JavaScript frameworks that have iterated rapidly. For clients who need long-term maintainability over five to ten years, PHP's stability is an advantage.
Where PHP loses
Real-time features. WebSocket-heavy applications, real-time collaboration tools, and event-driven systems are genuinely better served by Node.js. PHP can handle these with extensions and workarounds, but it's swimming against the current.
High-performance microservices. If you need sub-millisecond response times at massive scale, Go or Rust are better choices. PHP's threading model and memory management, while improved in PHP 8, still have inherent limitations compared to compiled languages for this specific use case.
ML/AI pipeline integration. Python's dominance in machine learning means that AI-heavy backends are better built in Python. PHP can call Python services via APIs, and that's often the right architecture, but native PHP AI development is limited.
The honest cost comparison
When people compare languages, they usually compare developer rates or language performance. The real cost comparison should include: time to build (framework maturity, available packages), hosting and infrastructure, available talent for the long term, and maintenance cost over five years. By this full-cost measure, PHP/Laravel is very competitive for business applications under a certain scale threshold — roughly, companies under $10M ARR building standard business software.
My current approach
PHP for most business web applications. Python for AI pipelines that connect to those applications. Node.js for specific real-time features when needed. I don't advocate for languages — I advocate for choosing the tool that solves the specific problem with the lowest total cost over time. For most of my clients' business systems in 2026, that's still PHP.