Content boom: Why AI can't fix creative without better systems
Yet, the reality on the ground is more nuanced.
While AI can crank out content faster than ever, speed alone doesn't translate into compelling stories or emotional connection. Digital spaces today remain saturated with bland, repetitive, and forgettable output. Why? Because creativity is more than volume; it's about turning ideas into unforgettable experiences that resonate with audiences.
Human creativity — with all its nuance, judgment, and context — remains irreplaceable. AI isn't 'dumb,' but these uniquely human qualities can't be easily taught to machines. The brands that succeed aren't those who post the most content, but those who create work that truly moves markets. That requires coordination, alignment, and thoughtful execution — not just rapid production.
The workflow bottleneck slowing AI's promise
At the center of this challenge is workflow.
'If creatives are the engine and AI is the new superfuel, then workflow is the transmission,' says Harry Aydin, CTO of AI-driven creative platform Hum(AI)n Assets. 'Right now, creative teams are stuck in first gear.'
A recent McKinsey & Company report (2025) echoes this: 'While generative AI is transforming content creation, many organizations struggle to scale its use because their operating models haven't caught up. The technology's potential is vast, but without rethinking workflows, its benefits remain out of reach.'
Teams are caught between two extremes. On one end is the 'Ad-Hoc Grind' — work scattered across group chats, briefs sent as voice notes, and shifting deadlines that cause chaos and burnout. On the other is the 'Corporate Maze' — layers of stakeholders, endless approvals, and slow timelines. Neither approach serves the needs of teams trying to harness AI's speed and power at scale.
Rethinking creative processes for the AI era
So what's missing? The answer lies not in more productivity apps or project management dashboards, but in reimagining creative workflows for the AI era.
It starts with simplicity. Briefs must be clear and concise — ditch the 40-slide brand bibles. Iteration cycles should measure in minutes or hours, not weeks. The workflow must flex seamlessly to handle quick-turn social reels, polished presentations, or nuanced ad copy — all briefed, created, iterated, and approved without chaos or bottlenecks.
The right workflow aligns teams fast, fosters open feedback, and keeps content flowing smoothly. Designers won't guess tone. Clients won't wait endlessly. Deadlines become firm targets. Content ships, not stagnates.
This new approach blends AI's brute force with human discernment. It's not man versus machine — it's velocity paired with vision. AI accelerates. Humans elevate.
Building the future of creative workflows
Hum(AI)n Assets is building this future today. The Dubai-based startup offers a content production engine designed to match the realities of modern creative teams — delivering the horsepower of a creative studio without the overhead or delays.
'Everyone's talking about AI tools, but nobody's fixing the workflow,' Aydin explains. 'You can generate assets in seconds, but getting them approved and aligned? That still takes weeks. It's not a tool problem; it's a system problem.'
The solution is smart augmentation, not blind automation. The brief is boiled down to essentials: audience, style, impact, and media type. AI handles formatting, first drafts, and rough image comps. Humans then refine tone, narrative, and aesthetics. The outcome? Faster, sharper, brand-aligned content that meets the demands of today's business pace.
The platform's founder, Bally Singh, experienced these workflow pains firsthand while running the Dubai-based Hoko Agency. 'Our internal processes were often chaotic and time-consuming,' Singh recalls. 'Too many handoffs, information gaps, and waiting rooms between idea and execution.'
Now, Hum(AI)n Assets is scaling fast. Recently, it absorbed Web3-native project Everdome through a strategic acquisition by Hoko Agency, further bolstering its creative engine.
Partnership with Motivate Media Group
The company is also partnering with Motivate Media Group to integrate its AI-powered workflow into Motivate's publishing operations — a bold move in a sector still grappling with rapid change. This collaboration will debut with the first-ever AI-generated magazine cover, showcasing how improved workflows, human creativity, and AI speed can transform legacy media.
For Motivate, this isn't just an experiment; it's a statement. The partnership signals what leadership in the AI age looks like — embracing innovation to set the pace, not follow it.
As AI becomes integral to creative work, workflow is emerging as the keystone issue. Without a smart system, even the most powerful AI becomes noise.
What's needed is structured speed — a creative operating system where briefs are clear, feedback is fluid, and human-AI collaboration is frictionless.
Hum(AI)n Assets is building that system: a smarter way to work that meets the urgency of today's creative demands without sacrificing quality or clarity.
By combining agency polish, the momentum of real-time crypto marketing, and AI's strategic power, the team isn't just producing content — it's reinventing the entire process behind it.
In the future, creative success won't depend on who has the flashiest AI tool, but who can align vision and execution fastest.
And that future starts — and scales — with workflow.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Crypto Insight
42 minutes ago
- Crypto Insight
Taxing Bitcoin ‘doesn't make a ton of sense' — Fund manager
Governments have no right to tax Bitcoin because managing ownership rights requires no administrative efforts, says Miller Value Partners chief investment officer Bill Miller IV. 'For them to reach their hand in there doesn't make a ton of sense,' Miller told Natalie Brunell on the Coin Stories podcast on Wednesday. Blockchain records ownership, not the government Miller, known for his early Bitcoin advocacy, said Bitcoin doesn't rely on government infrastructure to verify or enforce property rights, unlike traditional assets such as real estate. 'When you buy or sell a house, all that recordation tax, all those taxes go toward keeping track of who owns what,' Miller said. 'The reality is if you think about why you pay taxes in society, it is to enforce property rights,' he added. Miller said this is not necessary with Bitcoin. 'The government didn't create Bitcoin, so that is an important point to keep in mind,' he said, adding: 'The blockchain does that property automation for itself, right?' Earlier this year, rumors circulated that US President Donald Trump's son, Eric Trump, proposed eliminating capital gains taxes on certain US-based cryptocurrencies. Regarding the possibility of Bitcoin being exempt from capital gains tax, Miller said, 'Whether that ultimately happens or not, who knows but it is very cool that there is no wash sale rule on Bitcoin.' When asked if he sees Bitcoin ever having a property tax, similar to how properties are taxed in the US annually based on the market value, he says he isn't sure, but 'there is a good argument for it not to.' Bitcoin tax uncertainty signals 'it is still early' Meanwhile, Miller said traditional asset managers still face hurdles when buying Bitcoin, primarily because of uncertainty around taxation. 'Even as fund managers, we still have huge impediments to actually buying it because taxation rules around bad income if we buy ETFs and sell them at the wrong time, so that all needs to be worked out,' he said. 'That's why I continue to say it is still early because the taxation rules around it are really interesting,' he added. Bill Miller IV is the son of legendary investor Bill Miller III, a fund manager known for beating the S&P 500 for 15 consecutive years at investment giant Legg Mason. In a January 2022 interview, Miller III said he holds 50% of his net worth in Bitcoin and related investments in major industry firms like Michael Saylor's Strategy and BTC mining firm Stronghold Digital Mining. Source:
Zawya
an hour ago
- Zawya
Major industry's shift: Infrastructure is critical for the AI era as KSA advances Vision 2030
Riyadh, Kingdom of Saudi Arabia – Ahead of its flagship event in Riyadh 'Cisco Connect – CXO Edition', Cisco has revealed key local findings from its global networking study, highlighting how AI and modernized networks are driving fundamental changes in enterprise infrastructure. As AI assistants, agents, and data-driven workloads reshape how work gets done, they're creating faster, more dynamic, more latency-sensitive, and more complex network traffic. The rise of connected devices, 24/7 uptime demands, and growing security threats are pushing infrastructure to adapt and evolve. IT leaders are rethinking networks—what they do, how they enable growth, and how they protect businesses. The network they build today will decide the business they become tomorrow. Salman Faqeeh, the Managing Director of Cisco in Saudi Arabia, commented: "Our research highlights a critical shift in network architecture that aligns with Saudi Arabia's focus on innovation. The AI era relies on ultra-fast, low-latency, and highly secure networks, and KSA is leading the way by building the AI infrastructure of the future. At Cisco, we are proud to partner with Saudi Arabia to develop networks that will drive the Kingdom's ambitious Vision 2030 goals." Key Insights: The Future of Networking in Saudi Arabia The network has become a strategic priority: all participants say a modernized network is critical to rolling out AI, IoT, and cloud. 94% of IT leaders plan to increase the share of their overall IT budget allocated to networking. Secure networking is mission critical: 98% say secure networking is important to their operations and growth; 65% say it's critical. 97% believe an improved network will enhance their cybersecurity posture. AI intensifies demand for resilient networks: 97% say a resilient network is critical, at a time when 73% faced major outages in the past two years – driven largely by congestion, cyberattacks, and misconfigurations. Leaders look to AI to grow revenue: 52% say a modernized network's greatest impact on revenue will come from deploying AI tools that automate and tailor customer journeys – enabling faster, more personalized experiences that can strengthen loyalty and drive growth. AI is reshaping computing infrastructure: 67% say their data centres can't yet meet today's AI demands, and 90% plan to expand capacity – on-prem, in the cloud, or both. Leaders want to make networks smarter: 98% say autonomous, AI-powered networks are essential to future growth – yet only 40% have deployed the intelligent capabilities – like segmentation, visibility, and control – to make their network adaptive. The Network is the Value: Modern Infrastructure Unlocking Growth and Savings IT leaders in KSA are already delivering financial value from today's networks: largely by improving customer experiences (61%), boosting efficiency (62%), and enabling innovation (54%). But much of that value is at risk if it comes from infrastructure that hasn't been designed for AI or real-time scale. The Path Ahead: Bridging the Gaps To unlock the full growth and savings they expect, IT leaders in KSA have identified critical gaps they must close: Breaking Down Silos: 62% cite siloed or partially integrated systems as a major challenge. Scaling Deployments: 42% say incomplete implementations are holding them back. Reducing Manual Oversight: 39% highlight the need for greater automation and intelligent management. Smarter, more secure, more adaptive networks are the business case for investment. 92% say improved networks will directly drive revenue, and 97% expect meaningful cost savings – driven by smarter operations, fewer outages, and lower energy use. Discover more of the key findings from Cisco's Networking Research here. About the research This global study is based on a survey of 8,065 senior IT and business leaders responsible for networking strategy and infrastructure at organizations with 250 or more employees. The survey was conducted across 30 markets in December 2024 by Sandpiper Research & Insights, on behalf of Cisco. About Cisco Cisco (NASDAQ: CSCO) is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at Third-party trademarks mentioned are the property of their respective owners. The use of the word 'partner' does not imply a partnership relationship between Cisco and any other company.
Arabian Post
an hour ago
- Arabian Post
Brains on Autopilot: ChatGPT May Erode Critical Thinking
A newly disclosed MIT Media Lab experiment warns that overreliance on ChatGPT could diminish neural engagement and hamper critical thinking, memory retention and originality. The controlled study compared three groups—one using ChatGPT, one relying on search engines and a third writing unaided—tracking brain activity via electroencephalography during repeated essay-writing sessions. Participants using only their cognitive abilities showed the greatest neural activation, stronger memory recall, and more nuanced, creative expression. By contrast, ChatGPT users displayed the lowest brain engagement across neural, linguistic and behavioural measures. Experts described their outputs as 'soulless,' and follow‑up testing revealed that those who started by leaning on AI struggled to regain earlier performance levels when later writing independently. The U. K. survey of more than 600 users echoed these concerns: frequent AI use was significantly linked to reduced critical thinking—especially among younger individuals who offloaded mental effort rather than utilising AI as an aid. Researchers warn this pattern may foster 'cognitive off‑loading,' a dependence that could diminish mental agility. ADVERTISEMENT Yet the data also reveal nuance. In a separate high school‑based trial, students who engaged with AI tutors offering iterative guidance rather than complete solutions performed just as well as those without AI assistance. This suggests that when AI is used to supplement learning and not supplant it, cognitive gains remain achievable. MIT lead researcher Nataliya Kosmyna cautions: 'This study was not measuring intelligence loss, but rather the neural, linguistic and behavioural effects of reliance on generative systems.' She emphasises that the findings remain unreviewed and limited in scope, underscoring the need for long‑term, peer‑validated work before drawing sweeping conclusions. Cambridge University's Sam Gilbert frames the phenomenon differently: reduced brain activity might reflect a release of mental bandwidth, enabling users to channel attention into higher‑order tasks. But he reminds policymakers and educators that caution is essential when integrating AI in formative environments. Business and public discourse have responded swiftly. Coverage in the Washington Post highlighted the delicate balance between cognitive off‑loading and the potential to free mental capacity for creative endeavour. Coverage from The New York Post and The Times cited concerns of 'skill atrophy' and warned against passive AI dependence. Academic literature supports this emerging narrative. An arXiv study dated December 2024 flagged 'metacognitive laziness' among AI‑assisted learners—those who rely on ChatGPT improved essay scores but showed weak knowledge transfer. University of Pennsylvania and Carnegie Mellon faculties likewise document a tension between AI assistance and sustained critical reasoning in student assignments. Tech industry responses emphasise that AI's strength lies in augmentation, not substitution. Start‑ups such as BioSpark and other 'cognitive‑sparking' interfaces aim to rekindle curiosity and ownership—positioning AI as a creative counterpart rather than a convenience. Major AI developers, including OpenAI, maintain that generative AI can enhance productivity—citing workforce efficiency gains of up to 15 per cent. Yet they acknowledge that without user agency and deliberate design, those gains may come at the expense of independent thought. With institutional adoption surging—over one billion ChatGPT users worldwide—experts press for frameworks that prioritise mental resilience as much as performance. The debate reflects a longstanding tension in the adoption of technology. From Socrates' lament over writing to early anxieties about calculators and internet search, each leap in efficiency has triggered reflection on intellectual costs. AI, its proponents argue, is no different: transformation demands vigilance. As Michael Gerlich of the Swiss Business School notes, 'It's become a part of how I think.' But he stresses that training the mind to think with AI, rather than through it, will be critical.
