customer retention and satisfaction. In their study,
Hoffman et al. (2022) stated that businesses using
real-time data analytics record a 25% conversion rate,
which could be used by Tesla to improve its
marketing efficiency. However, issues such as how
Tesla managed to mishandle driver camera footage in
recent weeks and months present other reputation
risks. To address these concerns, blockchain data
anonymization can be implemented in Tesla so as to
meet regulation such as GDPR and CCPA while at
the same time building trust from the consumers.
4.4 Policy Advocacy Networks
Tesla’s reliance on regulatory incentives, which
contributed 15% of its 2022 revenue, underscores the
need for strategic policy alliances to stabilize revenue
streams amid shifting political landscapes. Forming
coalitions with renewable energy giants like NextEra
Energy and Ørsted could amplify Tesla’s lobbying
power, advocating for uniform EV subsidies and
charging infrastructure mandates. For instance, the
U.S. National EV Charging Initiative, backed by Ford
and Siemens, secured $7.5 billion in federal funding,
demonstrating the effectiveness of cross-industry
collaboration. Research by Meckling and Nahm
(2022) revealed that such coalitions are 60% more
effective in shaping climate policies than solo efforts,
as they present a unified front to policymakers.
However, Tesla’s adversarial stance toward unions
and regulators, such as its clashes with the NLRB
over labor practices, risks alienating potential allies
and undermining its credibility. To build trust, Tesla
could align with global initiatives like the EV100
coalition, which advocates for corporate EV
adoption, while transparently reporting its carbon
footprint reductions.
5 CONCLUSION
Tesla’s ascent as a dominant player in the electric
vehicle (EV) and renewable energy industries is a
testament to its innovation-driven market strategy. By
pioneering high-performance battery technology,
direct-to-consumer sales, and vertically integrated
energy solutions, Tesla has redefined industry
standards, forcing traditional automakers to
accelerate their EV transitions. However, despite its
success, Tesla faces increasing pressure from legacy
automakers, emerging EV startups, and shifting
regulatory landscapes. Competitors such as
Volkswagen, General Motors, and BYD are
aggressively expanding their EV offerings,
leveraging their extensive production capacities and
dealer networks. Meanwhile, newer entrants with
advanced battery innovations and autonomous
driving capabilities, such as Rivian, Lucid Motors,
and NIO, are challenging Tesla’s first-mover
advantage. To sustain its leadership, Tesla must
broaden its product portfolio beyond premium
passenger vehicles. Expanding into affordable mass-
market models, commercial electric fleets, and
advanced energy storage solutions would diversify
revenue streams and reduce the risks associated with
market saturation.
As the EV revolution accelerates, adaptability and
continuous innovation will be crucial for long-term
industry success. Tesla’s ability to embrace open
innovation, integrate AI-driven automation in
manufacturing, and expand its energy division will
determine its resilience in an evolving market. In a
landscape where technological advancements must
align with financial viability, regulatory compliance,
and consumer trust, Tesla must refine its strategic
agility to navigate challenges while maintaining
profitability. Companies that fail to anticipate shifting
consumer preferences, geopolitical risks, and
sustainability demands risk losing their competitive
edge. Tesla’s trajectory provides a valuable
framework for businesses facing technological
disruptions, emphasizing the importance of proactive
innovation, diversified expansion, and operational
resilience. By refining its market strategy and
adopting a more customer-centric, globally adaptive
approach, Tesla can reinforce its leadership while
playing a pivotal role in the transition toward a
sustainable, electrified future.
REFERENCES
Alan, D., Baddeley, Richard, J., & Allen, et al. 2014.
Evidence for two attentional components in visual
working memory. Journal of Experimental Psychology
Learning Memory & Cognition 40(6):1499.
Cowan, N. 1996. Short-term memory, working memory,
and their importance in language processing. Topics in
Language Disorders 17(1): 1-18.
Fang, X. 2009. Short-term memory in efl listening
comprehension. Asian Social Science 4(4):103.
Hai, S. et al. 2016. A computerized evaluation of sensory
memory and short-term memory impairment after rapid
ascent to 4280 m. Biological Medicine and
Envrionment Science: English Version 29(6): 4.
Kondo, H.M. & Kochiyama, T. 2017. Normal aging slows
spontaneous switching in auditory and visual
bistability. Neuroence 152-160,