6
Nobody talkin' about an AI smartphone revolution - Asia Times
Original article seen at: asiatimes.com on October 1, 2024
tldr
- 📉 Apple's new AI features failed to generate consumer excitement, leading to a drop in share price.
- 💰 Tech giants continue to invest in AI despite not yet recouping their massive investments.
- 📱 AI features are being pushed in new devices to entice consumers to upgrade.
- 🤔 AI still has amazing potential, but it's time to consider where it will be most useful.
summary
Apple's recent announcement of new iPhones featuring AI, or Apple Intelligence, failed to generate the expected consumer excitement, leading to a significant drop in Apple's share price. The AI features were overshadowed by the addition of a new camera shutter button, indicating that AI has moved beyond its 'wonderment phase' and now needs to prove its productivity. Despite this, tech giants like Google, NVidia, Microsoft, and OpenAI are doubling down on AI, even though the industry is far from recouping its massive investments in AI hardware and software. Apple, along with Google, Samsung, and Microsoft, continue to push AI features in their products to entice consumers to purchase new devices. However, it remains to be seen whether consumers will embrace AI-based features like photo-editing and writing assistants. While AI technologies are used in billion-dollar industry applications and have become useful tools for professionals, most consumers are not prepared to pay for AI services. Apple's AI features, such as custom emoji creation, phone call transcription, photo editing, and email writing, are no longer groundbreaking. The one forward-looking feature, Visual Intelligence, allows users to get information about their surroundings without explicitly doing a search. Despite the current lack of enthusiasm, AI still has amazing potential, but it may be time to consider where it will be most useful.starlaneai's full analysis
The lukewarm reception to Apple's new AI features indicates a shift in the AI landscape. While AI has moved beyond its 'wonderment phase', it now faces the challenge of proving its productivity and value to consumers. Despite the current lack of profitability, tech giants continue to invest heavily in AI, indicating a belief in its long-term potential. However, for AI to be widely adopted, it needs to offer compelling, user-friendly applications that clearly improve upon existing functions. The success of AI in the tech industry will likely depend on its ability to meet these challenges.
* All content on this page may be partially written by a clever AI so always double check facts, ratings and conclusions. Any opinions expressed in this analysis do not reflect the opinions of the starlane.ai team unless specifically stated as such.
starlaneai's Ratings & Analysis
Technical Advancement
40 The technical advancement of Apple's AI features is moderate. While they are an improvement on previous iterations, they are not groundbreaking.
Adoption Potential
20 The adoption potential is low due to lack of consumer enthusiasm and the fact that many of the features are already available in third-party apps.
Public Impact
30 The public impact is moderate. While AI has potential to improve many aspects of daily life, the current applications are not compelling enough to drive widespread adoption.
Innovation/Novelty
25 The novelty of the AI features is low as they are largely a reiteration of existing functions.
Article Accessibility
70 The accessibility is high as the features are designed to be user-friendly and integrated into everyday smartphone use.
Global Impact
35 The global impact is moderate. While the features could be used worldwide, their appeal may be limited by cultural and economic factors.
Ethical Consideration
30 The ethical consideration is moderate. While AI has potential for misuse, the current applications are relatively benign.
Collaboration Potential
50 The collaboration potential is high as many tech giants are investing in AI and could benefit from shared research and development.
Ripple Effect
30 The ripple effect is moderate. While the features could influence other tech companies, their impact on other industries is likely to be limited.
Investment Landscape
60 The AI investment landscape change is high. Despite the current lack of profitability, tech giants are continuing to invest heavily in AI.