SPECIFICITY, INC.SPTY

AI agents and solutions may drive more industry competition if programming becomes economical.

“According to the April 2025 McKinsey Quarterly report, AI infrastructure spending is expected to exceed $7 trillion by 2030. AI agents and other solutions are continuing to improve as companies gather large learning data sets to train their AI models, but those models are not yet economical. As global AI infrastructure development stabilizes and if AI programming becomes more economical to implement on a wider scale (other than just large well capitalized companies), it could drive more competition within our industry.”

AI agents and solutions are improving but models are not yet economical potentially increasing future industry competition.

“According to the April 2025 McKinsey Quarterly report, AI infrastructure spending is expected to exceed $7 trillion by 2030. AI agents and other solutions are continuing to improve as companies gather large learning data sets to train their AI models, but those models are not yet economical. As global AI infrastructure development stabilizes and if AI programming becomes more economical to implement on a wider scale (other than just large well capitalized companies), it could drive more competition within our industry.”

AI agents and solutions may drive more industry competition if implementation becomes economical.

“According to the April 2025 McKinsey Quarterly report, AI infrastructure spending is expected to exceed $7 trillion by 2030. AI agents and other solutions are continuing to improve as companies gather large learning data sets to train their AI models, but those models are not yet economical. As global AI infrastructure development stabilizes and if AI programming becomes more economical to implement on a wider scale (other than just large well capitalized companies), it could drive more competition within our industry.”

Specificity notes AI agents may drive more industry competition if implementation becomes economical.

“According to the April 2025 McKinsey Quarterly report, AI infrastructure spending is expected to exceed $7 trillion by 2030. AI agents and other solutions are continuing to improve as companies gather large learning data sets to train their AI models, but those models are not yet economical. As global AI infrastructure development stabilizes and if AI programming becomes more economical to implement on a wider scale (other than just large well capitalized companies), it could drive more competition within our industry.”

Specificity notes improving AI agents could increase industry competition if costs decline.

“According to the April 2025 McKinsey Quarterly report, AI infrastructure spending is expected to exceed $7 trillion by 2030. AI agents and other solutions are continuing to improve as companies gather large learning data sets to train their AI models, but those models are not yet economical. As global AI infrastructure development stabilizes and if AI programming becomes more economical to implement on a wider scale (other than just large well capitalized companies), it could drive more competition within our industry.”