AI Image Generation and the Future of Photography and Graphics Industry

Artificial intelligence (AI) has been transforming various industries, and the photography and graphics industry is no exception. With the development of AI image generation tools, it is now possible to create realistic images that are indistinguishable from those captured by a camera or created by a human designer. While this technology holds immense potential for businesses in terms of cost and time efficiency, it will also bring about significant changes in the industry and its related sectors.

One of the most notable impacts of AI image generation technology is the potential to disrupt the traditional photography and graphics business models. With AI, it is possible to create high-quality images without the need for expensive equipment or professional photographers. This could mean that smaller businesses and individuals will be able to produce high-quality images at a fraction of the cost, leading to a shift in the balance of power within the industry.

While this shift may benefit smaller players in the industry, it also raises concerns about the future of traditional photography and graphics companies, including the studios, models, and makeup artists who have long been the backbone of the industry. As AI technology advances, it is expected that the demand for traditional jobs in the industry will decrease, leading to potential job losses for those who are unable to adapt to the new reality.

Moreover, AI tools are capable of compensating for years of education and experience, which means that it will not be necessary to pay for the same skill level as before. This will likely have a negative impact on the salaries of senior experts who have spent decades honing their craft. Even though new jobs may be created in the AI and machine learning sector, these will be in a completely different know-how sector than that of traditional photography and graphics roles. This means that the transition from one sector to the other may be challenging for those who are affected.

Especially with the overwhelming speed of development, those affected by this change will be outpaced, and even if they can pivot, it may take some time to acquire the required skills. The gap in this transition phase does not bode well for those affected, and there is a real risk that people who are laid off will not be trained or upskilled but simply replaced by AI.

While new jobs may be created in the AI sector, these will likely require a different set of skills and expertise than those currently in demand in the traditional photography and graphics industry. This means that the affected individuals may not be able to transition easily into these new roles, leading to potential unemployment and displacement.

In conclusion, while AI image generation technology holds immense promise for the photography and graphics industry, it also raises concerns about the potential disruption of traditional business models and the displacement of workers in related sectors. It is important to recognize the value of human insight and creativity in shaping the way we use and adapt to these technologies, and to invest in the training and upskilling of those who may be affected by these changes. As we move forward in the age of AI, we must work to ensure that the benefits of these technologies are shared equitably, and that no one is left behind.

Disclaimer: The essence of this article originates from a human. The full article was produced with the assistance of AI writing through various revisions. AI helped to formulate the ideas, thoughts, and facts into proper English. While the article was reviewed by a human, there may still be errors or biases present. The opinions expressed in this article are solely those of the author and do not reflect the views of the AI language model or its creators.

“bad subifd directory” Replacing/removing bad SubIFD

Handling bad SubIFD entries in photos you want to geo tag / the problem

I just converted some of my RAW photos in RawTherapee and polished them in Photoshop CS. Of course I also wanted to GeoTag them (using GeoSetter) before putting the images in my archive.¬†Fortunately, a GPS point was found in my trace for all photos. Unfortunately, I couldn’t write the Exif-GPS position due to a “bad subifd directory”. That’s what exiftool (which geosetter uses) tells me.

So – how to get the geo information into exif – or how to get the bad SubIFD directory out?

The solution:

In the end the issue was rather easy to solve:

  1. copy your images to a linux machine (or vm or whatever)
  2. copy all images to a directory “conv” AND in parallel to “conv2
  3. enter “conv2
  4. remove all exif information from the conv2 images by
    find ./*.jpg -exec exiftool -exif:all= {} ;
  5. enter “conv1” & copy the exif information (except SubIFD) to the cleaned images in “conv2” by
    find ./*.jpg -exec exiftool -tagsfromfile {} -exif:all --subifd:all ../conv2/{};
  6. you’re done.
  7. (fire up geo setter and geo tag your photos)

Be happy!