How AI is changing QA: Will it replace or elevate professionals?

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering

Thanks to AI, we will lay off our QA team this year 🙈 And here’s why. AI is now generating test cases, writing automation scripts, even suggesting fixes. So, do we still need QA professionals? Or is AI the new tester? Here’s what the latest research & industry voices say 👇 1) AI boosts speed, not quality Companies release faster with AI — but nearly half suffer $1M+ losses from outages because quality slips when humans aren’t in the loop. 2) More AI = more testing, not less As tech expands, the number of testing scenarios explodes. AI can handle boilerplate, but humans still define what “quality” really means. 3) AI lacks context & judgment Yes, it can create 100 test cases in seconds — but often for the wrong system (true story: Gmail tests in a product with no Gmail). Critical thinking, business logic, and empathy? Still human-only. 4) The future is collaboration, not replacement Analysts predict 40% of IT budgets will include AI testing by 2025. That means automation of repetitive tasks — but also more demand for QA engineers who can guide, review, and validate AI’s output. Of course, we didn’t fire anyone. That was just a hook 😉 and AI won’t kill QA — it will elevate it. The next generation of QA engineers will be those who know how to work with AI, not against it. Want to join them? Our new QA Automation cohort starts September 27. Drop the words “one on one” in the comments and I’ll personally give you a free consultation and answer any questions about the course. QA engineers who embrace AI as a co-pilot will be the ones shaping the future of software quality. What do you think? Would you trust AI alone to guarantee your production release? #QA #Automation #AI #SoftwareTesting #QualityEngineering