Another Crazy Day in AI: Why AI Projects Need More Than Technology
- Wowza Team
- Aug 21
- 4 min read
Hello, AI Enthusiasts.
Hope your week’s going well so far. Today’s a reminder to pause and think ahead—just like with AI literacy.
The Distinguished Vice President in Gartner's Digital Business Leadership research team makes a strong case: organizations need more than technical experts; they need a workforce that sees how AI connects to strategy, ethics, and results. Without it, the risks grow. With it, the opportunities expand.
Even Meta needs a breather... the company has hit pause on AI hiring. Strategic reset or early warning sign?
Meanwhile, Google's Pixel 10 just dropped, and it's positioned as the company’s most AI-loaded phone yet.
Here's another crazy day in AI:
The role of AI literacy in enterprise success
Meta pauses its AI hiring surge
9 ways AI transforms the Pixel 10 into your smartest phone yet
Some AI tools to try out
TODAY'S FEATURED ITEM: The Human Foundation for AI Success
Image Credit: Wowza (created with Ideogram)
What happens when organizations invest heavily in AI technology but overlook the human knowledge needed to use it effectively?
Graham Waller, Distinguished Analyst VP at Gartner, examines this disconnect in his research on enterprise AI implementation. His findings challenge a common assumption that acquiring AI technology automatically translates to business transformation. Instead, Waller's analysis reveals that organizations often struggle because they underestimate the breadth of knowledge required to deploy AI successfully within complex business environments.
Points raised in the article include:
AI literacy as a business requirement: It helps connect technology with strategy, long-term goals, and ethical considerations.
Demonstrating business outcomes: Programs gain credibility when learning is tied directly to measurable results.
Different levels for different roles: Four dimensions — Foundations, Value, Engineering, and Governance — apply in different ways across the organization.
Finding and addressing skill gaps: Ongoing assessment keeps literacy aligned with changing needs.
Practical approaches to learning: Combining formal study, peer collaboration, and hands-on experience helps embed knowledge.
Continuous adaptation: Programs must evolve as the technology and its applications continue to advance.
The discussion makes it clear that literacy is not a matter of technical training alone. Organizations that treat AI as purely a technology project often miss the bigger picture... the human understanding needed to apply it thoughtfully, communicate across teams, and build trust around its use. In that sense, literacy provides a framework that supports more responsible and effective adoption.
Another important consideration is how literacy differs depending on role. Business leaders may only need a broad view of AI’s potential and risks, while technical teams require deeper expertise in engineering and data practices. By tailoring literacy to these needs, organizations avoid both oversimplification and unnecessary complexity, making the knowledge more relevant and actionable.
Waller emphasizes that literacy cannot be static. Because AI evolves rapidly, so too must the way people learn about it. Programs that combine structured learning with real-world application stand a better chance of keeping pace, ensuring that organizations not only understand today’s technology but are prepared for the uncertainties of tomorrow. And while this work is framed as literacy, it naturally overlaps with governance, shaping how organizations set policies, weigh risks, and build transparency into their use of AI. Taken together, literacy and governance form complementary pieces of the same challenge: making sure AI serves the organization responsibly and sustainably.
Read the full article here.
OTHER INTERESTING AI HIGHLIGHTS:
Meta Pauses Its AI Hiring Surge
/Dylan Butts, Associate Reporter, on CNBC
Meta has paused hiring for its new artificial intelligence division, marking a shift after months of aggressive spending on top talent and billion-dollar acquisitions. The move, described by the company as “basic organizational planning,” comes as Meta restructures its AI operations into four new teams under Meta Superintelligence Labs. Analysts suggest this is less about scaling back and more about giving the company time to absorb its new hires, including Scale AI’s founder Alexandr Wang, who now leads Meta’s Llama model efforts. Still, the pause reflects broader industry concerns that AI investment may be overheating amid a sell-off in tech stocks.
Read more here.
9 Ways AI Transforms the Pixel 10 Into Your Smartest Phone Yet
/Tyler Kugler, Product Manager, on Google Blogs – The Keyword
Google’s new Pixel 10 lineup arrives with nine AI-powered features designed to make everyday life easier, all running on the new Tensor G5 chip with Gemini Nano. Highlights include Magic Cue, which proactively surfaces info across apps, Voice Translate for real-time multilingual phone calls, and expanded Gemini Live visual assistance through the camera. Pixel 10 also integrates tools like NotebookLM, AI-powered journaling, Gboard writing support, and even music creation through Recorder. Together, these upgrades position the Pixel 10 as Google’s most AI-driven phone yet, blending productivity, creativity, and personal wellbeing.
Read more here.
SOME AI TOOLS TO TRY OUT:
Xavier – AI that makes consulting-grade decks in seconds.
Eleven Music API – Generate studio-quality music from text prompts.
GraphiteChat – AI that explains code and suggests fixes in PRs.
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
EXCITING NEWS:
The Another Crazy Day in AI newsletter is on LinkedIn!!!
Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.
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